{"type": "FeatureCollection", "features": [{"id": "10.1109/lgrs.2021.3073484", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:18Z", "type": "Journal Article", "created": "2021-06-10", "title": "Sentinel-1 Backscatter Assimilation Using Support Vector Regression or the Water Cloud Model at European Soil Moisture Sites", "description": "Sentinel-1 backscatter observations were assimilated into the Global Land Evaporation Amsterdam Model (GLEAM) using an ensemble Kalman filter. As a forward operator, which is required to simulate backscatter from soil moisture and leaf area index (LAI), we evaluated both the traditional water cloud model (WCM) and the support vector regression (SVR). With SVR, a closer fit between backscatter observations and simulations was achieved. The impact on the correlation between modeled and in situ soil moisture measurements was similar when assimilating the Sentinel data using WCM (\u0394 R = +0.037) or SVR (\u0394 R = +0.025).", "keywords": ["Vegetation mapping", "support vector regression (SVR)", "Technology and Engineering", "Data models", "0211 other engineering and technologies", "Computational modeling", "02 engineering and technology", "15. Life on land", "Geotechnical Engineering and Engineering Geology", "01 natural sciences", "Backscatter", "radar backscatter", "Soil", "Earth and Environmental Sciences", "LAND EVAPORATION", "Data assimilation", "Soil moisture", "Electrical and Electronic Engineering", "soil moisture", "Moisture", "SMOS", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/8859/9651998/09451176.pdf?arnumber=9451176"}, {"href": "https://doi.org/10.1109/lgrs.2021.3073484"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Geoscience%20and%20Remote%20Sensing%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/lgrs.2021.3073484", "name": "item", "description": "10.1109/lgrs.2021.3073484", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/lgrs.2021.3073484"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1109/tmtt.2017.2750149", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:19Z", "type": "Journal Article", "created": "2017-09-18", "title": "Microstrip-Ridge Gap Waveguide Filter Based on Cavity Resonators With Mushroom Inclusions", "description": "\u00a9 2017 IEEE. In this paper, we propose a novel microstrip-ridge gap waveguide (MS-RGW) filter configuration, which is based on cavity resonators with mushroom inclusions. The resonators are realized as defects in surrounding mushroom-based perfect magnetic conductor (PMC), and thus, the filter configuration does not require additional conductive layers nor rearrangement of the PMC elements. The hosting MS-RGW is fed through transition from SMA to microstrip ridge, enabling simple fabrication and excellent impedance matching in a wide frequency range. To demonstrate the potential of the proposed structure, four narrowband filters have been designed, fabricated, and measured. The filters exhibit excellent in-band characteristics and small dimensions.", "keywords": ["filter", "Radiation", "Cavity resonator", "microstrip-ridge gap waveguide (MS-RGW)", "0202 electrical engineering", " electronic engineering", " information engineering", "mushroom unit cell", "Condensed Matter Physic", "02 engineering and technology", "Electrical and Electronic Engineering"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/22/8246662/08039283.pdf?arnumber=8039283"}, {"href": "https://doi.org/10.1109/tmtt.2017.2750149"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Transactions%20on%20Microwave%20Theory%20and%20Techniques", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/tmtt.2017.2750149", "name": "item", "description": "10.1109/tmtt.2017.2750149", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/tmtt.2017.2750149"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.1109/jphotov.2020.3043104", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:18Z", "type": "Journal Article", "created": "2021-01-05", "title": "Improved PV Soiling Extraction Through the Detection of Cleanings and Change Points", "description": "<p>&lt;b&gt;Accepted Manuscript (Postprint): &lt;/b&gt;L. Micheli et al., \uffe2\uff80\uff9cImproved PV Soiling Extraction through the Detection of Cleanings and Change Points,\uffe2\uff80\uff9d IEEE Journal of Photovoltaics, Volume: 11, Issue: 2, March 2021.</p>", "keywords": ["13. Climate action", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "02 engineering and technology", "Electrical and Electronic Engineering", "monitoring; photovoltaic (PV) systems; regression analysis; soiling; time-series analysis", "Condensed Matter Physics", "6. Clean water", "Electronic", " Optical and Magnetic Materials"]}, "links": [{"href": "https://iris.uniroma1.it/bitstream/11573/1625157/3/Micheli_Improved%20PV_post-print_2021.pdf"}, {"href": "http://xplorestaging.ieee.org/ielx7/5503869/9358028/09312967.pdf?arnumber=9312967"}, {"href": "https://doi.org/10.1109/jphotov.2020.3043104"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Journal%20of%20Photovoltaics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/jphotov.2020.3043104", "name": "item", "description": "10.1109/jphotov.2020.3043104", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/jphotov.2020.3043104"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-01T00:00:00Z"}}, {"id": "10.1109/JSTSP.2021.3054314", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-24T16:18:17Z", "type": "Journal Article", "created": "2021-01-25", "title": "Tensor Decomposition Learning for Compression of Multidimensional Signals", "description": "Multidimensional signals like multispectral images and color videos are becoming ubiquitous in modern times, constantly introducing challenges in data storage and transfer, and therefore demanding efficient compression strategies. Such high dimensional observations can be naturally encoded as tensors, exhibiting significant redundancies across dimensions. This property is exploited by tensor decomposition techniques that are being increasingly used for compactly encoding large multidimensional arrays. While efficient, these methods are incapable of utilizing prior information present in training data. In this paper, a novel tensor decomposition learning method is proposed for the compression of high dimensional signals. Specifically, instead of extracting independent bases for each example, our method learns an appropriate basis for each dimension from a set of training samples by solving a constrained optimization problem. As such, each sample is quantized and encoded into a reduced-size core tensor of coefficients that corresponds to the multilinear combination of the learned basis matrices. Furthermore, the proposed method employs a symbol encoding dictionary for binarizing the decomposition outputs. Experimental results on synthetic data and real satellite multispectral image sequences demonstrate the efficacy of our method, surpassing competing compression methods while offering the flexibility to handle arbitrary high dimensional data structures.", "keywords": ["Signal Processing", "Mathematical analysis", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "Tensor decomposition", "02 engineering and technology", "Electrical and Electronic Engineering", "Compression (physics)", "Mathematics"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/4200690/9393360/09335033.pdf?arnumber=9335033"}, {"href": "https://doi.org/10.1109/JSTSP.2021.3054314"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Journal%20of%20Selected%20Topics%20in%20Signal%20Processing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/JSTSP.2021.3054314", "name": "item", "description": "10.1109/JSTSP.2021.3054314", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/JSTSP.2021.3054314"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "10.1109/TMTT.2017.2750149", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:17Z", "type": "Journal Article", "created": "2017-09-18", "title": "Microstrip-Ridge Gap Waveguide Filter Based on Cavity Resonators With Mushroom Inclusions", "description": "\u00a9 2017 IEEE. In this paper, we propose a novel microstrip-ridge gap waveguide (MS-RGW) filter configuration, which is based on cavity resonators with mushroom inclusions. The resonators are realized as defects in surrounding mushroom-based perfect magnetic conductor (PMC), and thus, the filter configuration does not require additional conductive layers nor rearrangement of the PMC elements. The hosting MS-RGW is fed through transition from SMA to microstrip ridge, enabling simple fabrication and excellent impedance matching in a wide frequency range. To demonstrate the potential of the proposed structure, four narrowband filters have been designed, fabricated, and measured. The filters exhibit excellent in-band characteristics and small dimensions.", "keywords": ["filter", "Radiation", "Cavity resonator", "microstrip-ridge gap waveguide (MS-RGW)", "0202 electrical engineering", " electronic engineering", " information engineering", "mushroom unit cell", "Condensed Matter Physic", "02 engineering and technology", "Electrical and Electronic Engineering"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/22/8246662/08039283.pdf?arnumber=8039283"}, {"href": "https://doi.org/10.1109/TMTT.2017.2750149"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Transactions%20on%20Microwave%20Theory%20and%20Techniques", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/TMTT.2017.2750149", "name": "item", "description": "10.1109/TMTT.2017.2750149", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/TMTT.2017.2750149"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.1117/12.2650251", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:50Z", "type": "Journal Article", "created": "2023-01-26", "title": "Salt-induced aggregation of gold nanoparticles for sensitive SERS-based detection of nanoplastics in water", "description": "The presence of micro and nano plastics in the environment and their impact on the various life forms within it are of principle concern around the globe. However, whilst a considerable amount of work has been done on the detection of microplastics, many challenges remain in the development of analytical techniques for nanoplastics due to their inherent ultra-small size and ubiquitous shapes. Here, a simple technique is reported based on surface enhanced Raman spectroscopy (SERS) and salt (NaCl) induced aggregation of gold nanoparticles that has been used to detect 100 nm diameter polystyrene (PS) beads. The gold nanoparticles (AuNPs) were synthesized and stabilized by negatively charged sodium citrate. When the PS beads present in a water sample were introduced into the solution of colloidal AuNPs, they interact to each other via hydrophobic interactions and other weak forces (i.e. hydrogen, ionic, and Van der waals forces). Upon an addition of NaCl, the negatively charged ions around the AuNPs are shielded and disturbed, resulting in their aggregation around the PS beads. As a consequence, strong SERS signal enhancement produced by the aggregated AuNPs was observed, and also demonstrated in numerical modelling. Concentrations of 100 nm PS beads as low as 1 part per million (ppm) were measured, and to the best of the author's knowledge, this is the lowest concentration detected for nanoplastics of that size or smaller by such a simple technique that has been reported.", "keywords": ["/dk/atira/pure/subjectarea/asjc/1700/1706", "SERS", "/dk/atira/pure/subjectarea/asjc/2500/2504", "/dk/atira/pure/subjectarea/asjc/3100/3104", "/dk/atira/pure/subjectarea/asjc/2200/2208", "aggregation", "detection", "/dk/atira/pure/subjectarea/asjc/2600/2604", "name=Applied Mathematics", "name=Electrical and Electronic Engineering", "name=Computer Science Applications", "540", "01 natural sciences", "nanoplastics", "620", "name=Electronic", "gold nanoparticles", "0103 physical sciences", "salt", "name=Condensed Matter Physics", "Optical and Magnetic Materials"]}, "links": [{"href": "https://doi.org/10.1117/12.2650251"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Quantum%20Sensing%20and%20Nano%20Electronics%20and%20Photonics%20XIX", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1117/12.2650251", "name": "item", "description": "10.1117/12.2650251", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1117/12.2650251"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-15T00:00:00Z"}}, {"id": "10.1515/nanoph-2021-0803", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:12Z", "type": "Journal Article", "created": "2022-04-11", "title": "Recent progress in terahertz metamaterial modulators", "description": "Abstract                <p>The terahertz (0.1\uffe2\uff80\uff9310\uffc2\uffa0THz) range represents a fast-evolving research and industrial field. The great interest for this portion of the electromagnetic spectrum, which lies between the photonics and the electronics ranges, stems from the unique and disruptive sectors where this radiation finds applications in, such as spectroscopy, quantum electronics, sensing and wireless communications beyond 5G. Engineering the propagation of terahertz light has always proved to be an intrinsically difficult task and for a long time it has been the bottleneck hindering the full exploitation of the terahertz spectrum. Amongst the different approaches that have been proposed so far for terahertz signal manipulation, the implementation of metamaterials has proved to be the most successful one, owing to the relative ease of realisation, high efficiency and spectral versatility. In this review, we present the latest developments in terahertz modulators based on metamaterials, while highlighting a few selected key applications in sensing, wireless communications and quantum electronics, which have particularly benefitted from these developments.</p", "keywords": ["Technology", "PEROVSKITE", "SYMMETRY", "QC1-999", "Materials Science", "0205 Optical Physics", "Materials Science", " Multidisciplinary", "DEVICE", "Review", "02 engineering and technology", "ULTRAFAST", "530", "7. Clean energy", "Physics", " Applied", "terahertz", "SWITCH", "modulators", "Nanoscience & Nanotechnology", "Multidisciplinary", "Science & Technology", "1007 Nanotechnology", "Physics", "Optics", "620", "0906 Electrical and Electronic Engineering", "metamaterials", "Applied", "Physical Sciences", "Science & Technology - Other Topics", "ABSORBER", "0210 nano-technology", "METASURFACE"]}, "links": [{"href": "https://www.degruyter.com/document/doi/10.1515/nanoph-2021-0803/pdf"}, {"href": "https://doi.org/10.1515/nanoph-2021-0803"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nanophotonics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1515/nanoph-2021-0803", "name": "item", "description": "10.1515/nanoph-2021-0803", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1515/nanoph-2021-0803"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-02T00:00:00Z"}}, {"id": "30592d0c330e6c206aa54bf98d50d122", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:07Z", "type": "Other", "title": "Spectra Fusion of Mid-Infrared (MIR) and X-ray Fluorescence (XRF) Spectroscopy for Estimation of Selected Soil Fertility Attributes", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Previous works indicate that data fusion, compared to single data modelling can improve the assessment of soil attributes using spectroscopy. In this work, two different kinds of proximal soil sensing techniques i.e., mid-infrared (MIR) and X-ray fluorescence (XRF) spectroscopy were evaluated, for assessment of seven fertility attributes. These soil attributes include pH, organic carbon (OC), phosphorous (P), potassium (K), magnesium (Mg), calcium (Ca) and moisture contents (MC). Three kinds of spectra fusion (SF) (spectra concatenation) approaches of MIR and XRF spectra were compared, namely, spectra fusion-Partial least square (SF-PLS), spectra fusion-Sequential Orthogonalized Partial least square (SF-SOPLS) and spectra fusion-Variable Importance Projection-Sequential Orthogonalized Partial least square (SF-VIP-SOPLS). Furthermore, the performance of SF models was compared with the developed single sensor model (based on individual spectra of MIR and XRF). Compared with the results obtained from single sensor model, SF models showed improvement in the prediction performance for all studied attributes, except for OC, Mg, and K prediction. More specifically, the highest improvement was observed with SF-SOPLS model for pH [R2p = 0.90, root mean square error prediction (RMSEP) = 0.15, residual prediction deviation (RPD) = 3.30, and ratio of performance inter-quantile (RPIQ) = 3.59], successively followed by P (R2p = 0.91, RMSEP = 4.45 mg/100 g, RPD = 3.53, and RPIQ = 4.90), Ca (R2p = 0.92, RMSEP = 177.11 mg/100 g, RPD = 3.66, and RPIQ = 3.22) and MC (R2p = 0.80, RMSEP = 1.91%, RPD = 2.31, RPIQ = 2.62). Overall the study concluded that SF approach with SOPLS attained better performance over the traditional model developed with the single sensor spectra, hence, SF is recommended as the best SF method for improving the prediction accuracy of studied soil attributes. Moreover, the multi-sensor spectra fusion approach is not limited for only MIR and XRF data but in general can be extended for complementary information fusion in order to improve the model performance in precision agriculture (PA) applications.</p></article>", "keywords": ["Electrical and Electronic Engineering", "Biochemistry", "Instrumentation", "Atomic and Molecular Physics", " and Optics", "Analytical Chemistry"], "contacts": [{"organization": "Abdul Mouazen, Lalit Mohan Kandpal, Muhammad Abdul Munnaf, Cristina Cruz,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/30592d0c330e6c206aa54bf98d50d122"}, {"rel": "self", "type": "application/geo+json", "title": "30592d0c330e6c206aa54bf98d50d122", "name": "item", "description": "30592d0c330e6c206aa54bf98d50d122", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/30592d0c330e6c206aa54bf98d50d122"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10.3390/s21092980", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:35Z", "type": "Journal Article", "created": "2021-04-25", "title": "Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Efforts related to minimizing the environmental burden caused by agricultural activities and increasing economic efficiency are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using the on-line optimization of trajectory planning for soil-sensitive field operations. The research presented in this paper aims at a proof-of-concept solution with respect to optimizing farm machinery trajectories in order to minimize the environmental burden and increase economic efficiency. As such, it further advances existing CTF solutions by including (1) efficient plot divisions in 3D, (2) the optimization of entry and exit points of both plot and plot segments, (3) the employment of more machines in parallel and (4) obstacles in a farm machinery trajectory. The developed algorithm is expressed in terms of unified modeling language (UML) activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rost\u011bnice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories.</p></article>", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "Technology and Engineering", "controlled traffic farming", "Chemical technology", "mission planning", "TP1-1185", "04 agricultural and veterinary sciences", "Biochemistry", "Article", "Analytical Chemistry", "soil compaction", "Atomic and Molecular Physics", "digital elevation model", "AGRICULTURAL ROBOTS", "0401 agriculture", " forestry", " and fisheries", "Electrical and Electronic Engineering", "and Optics", "coverage path planning", "controlled traffic farming; coverage path planning; digital elevation model; mission planning; soil compaction"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://doi.org/10.3390/s21092980"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s21092980", "name": "item", "description": "10.3390/s21092980", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s21092980"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-23T00:00:00Z"}}, {"id": "10.3929/ethz-b-000278733", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:43Z", "type": "Journal Article", "created": "2018-07-06", "title": "Cost\u2013benefit optimization of structural health monitoring sensor networks", "description": "<p>Structural health monitoring (SHM) allows the acquisition of information on the structural integrity of any mechanical system by processing data, measured through a set of sensors, in order to estimate relevant mechanical parameters and indicators of performance. Herein we present a method to perform the cost\uffe2\uff80\uff93benefit optimization of a sensor network by defining the density, type, and positioning of the sensors to be deployed. The effectiveness (benefit) of an SHM system may be quantified by means of information theory, namely through the expected Shannon information gain provided by the measured data, which allows the inherent uncertainties of the experimental process (i.e., those associated with the prediction error and the parameters to be estimated) to be accounted for. In order to evaluate the computationally expensive Monte Carlo estimator of the objective function, a framework comprising surrogate models (polynomial chaos expansion), model order reduction methods (principal component analysis), and stochastic optimization methods is introduced. Two optimization strategies are proposed: the maximization of the information provided by the measured data, given the technological, identifiability, and budgetary constraints; and the maximization of the information\uffe2\uff80\uff93cost ratio. The application of the framework to a large-scale structural problem, the Pirelli tower in Milan, is presented, and the two comprehensive optimization methods are compared.</p>", "keywords": ["Stochastic Processes", "structural health monitoring", "structural health monitoring; Bayesian inference; cost\u2013benefit analysis; stochastic optimization; information theory; Bayesian experimental design; surrogate modeling; model order reduction", "Chemical technology", "Cost-Benefit Analysis", "Bayesian inference", "Bayesian experimental design", "Uncertainty", "Bayes Theorem", "TP1-1185", "02 engineering and technology", "stochastic optimization", "Bayesian experimental design; Bayesian inference; Benefit analysis; Cost; Information theory; Model order reduction; Stochastic optimization; Structural health monitoring; Surrogate modeling; Algorithms; Monte Carlo Method; Nonlinear Dynamics; Stochastic Processes; Uncertainty; Bayes Theorem; Cost-Benefit Analysis; Analytical Chemistry; Atomic and Molecular Physics", " and Optics; Biochemistry; Instrumentation; Electrical and Electronic Engineering", "Article", "surrogate modeling", "0201 civil engineering", "Nonlinear Dynamics", "model order reduction", "cost\u2013benefit analysis", "Monte Carlo Method", "Algorithms", "information theory"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/18/7/2174/pdf"}, {"href": "https://re.public.polimi.it/bitstream/11311/1085132/1/Sensors_2018b.pdf"}, {"href": "https://doi.org/10.3929/ethz-b-000278733"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3929/ethz-b-000278733", "name": "item", "description": "10.3929/ethz-b-000278733", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3929/ethz-b-000278733"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-06T00:00:00Z"}}, {"id": "10044/1/96649", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:42Z", "type": "Journal Article", "created": "2022-04-11", "title": "Recent progress in terahertz metamaterial modulators", "description": "Abstract                <p>The terahertz (0.1\uffe2\uff80\uff9310\uffc2\uffa0THz) range represents a fast-evolving research and industrial field. The great interest for this portion of the electromagnetic spectrum, which lies between the photonics and the electronics ranges, stems from the unique and disruptive sectors where this radiation finds applications in, such as spectroscopy, quantum electronics, sensing and wireless communications beyond 5G. Engineering the propagation of terahertz light has always proved to be an intrinsically difficult task and for a long time it has been the bottleneck hindering the full exploitation of the terahertz spectrum. Amongst the different approaches that have been proposed so far for terahertz signal manipulation, the implementation of metamaterials has proved to be the most successful one, owing to the relative ease of realisation, high efficiency and spectral versatility. In this review, we present the latest developments in terahertz modulators based on metamaterials, while highlighting a few selected key applications in sensing, wireless communications and quantum electronics, which have particularly benefitted from these developments.</p", "keywords": ["Technology", "PEROVSKITE", "SYMMETRY", "QC1-999", "Materials Science", "0205 Optical Physics", "Materials Science", " Multidisciplinary", "DEVICE", "Review", "02 engineering and technology", "ULTRAFAST", "530", "7. Clean energy", "Physics", " Applied", "terahertz", "SWITCH", "modulators", "Nanoscience & Nanotechnology", "Multidisciplinary", "Science & Technology", "1007 Nanotechnology", "Physics", "Optics", "620", "0906 Electrical and Electronic Engineering", "metamaterials", "Applied", "Physical Sciences", "Science & Technology - Other Topics", "ABSORBER", "0210 nano-technology", "METASURFACE"]}, "links": [{"href": "https://www.degruyter.com/document/doi/10.1515/nanoph-2021-0803/pdf"}, {"href": "https://doi.org/10044/1/96649"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nanophotonics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/96649", "name": "item", "description": "10044/1/96649", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/96649"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-02T00:00:00Z"}}, {"id": "10044/1/97038", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:42Z", "type": "Journal Article", "created": "2022-04-01", "title": "Terahertz Metastructures for Noninvasive Biomedical Sensing and Characterization in Future Health Care [Bioelectromagnetics]", "description": "According to a recent report [1] from the Cancer Research Agency of the World Health Organization, cancer is a dominant cause of mortality worldwide, leading to 10 million deaths in 2020 alone. Diagnosing a patient from the early stages tremendously raises the chance of survival. Current clinical cancer detection approaches including X-ray, magnetic resonance imaging (MRI), and biomarker analysis not only fail to provide a precise border of the malignant tissue, especially in the early stages of cancer, but also can be invasive and lead to tissue damage. Recent progress in EM biosensor technologies has the potential to deliver a point-of-care diagnosis and surpass conventional methods regarding accuracy, time, and cost.", "keywords": ["Technology", "Organizations", "Science & Technology", "Sensors", "Tissue damage", "610", "Engineering", " Electrical & Electronic", "02 engineering and technology", "Cancer detection", "Costs", "Point of care", "ARRAYS", "3. Good health", "0906 Electrical and Electronic Engineering", "Engineering", "Magnetic resonance imaging", "CELLS", "Telecommunications", "PLASMONS", "1005 Communications Technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "Electrical & Electronic", "Networking & Telecommunications"]}, "links": [{"href": "https://eprints.gla.ac.uk/263337/1/263337.pdf"}, {"href": "http://xplorestaging.ieee.org/ielx7/74/9747968/09748039.pdf?arnumber=9748039"}, {"href": "https://doi.org/10044/1/97038"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Antennas%20and%20Propagation%20Magazine", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/97038", "name": "item", "description": "10044/1/97038", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/97038"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-01T00:00:00Z"}}, {"id": "9c82191c3ec806abbc790e4c91dccc0b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:26:44Z", "type": "Report", "title": "Salt-induced aggregation of gold nanoparticles for sensitive SERS-based detection of nanoplastics in water", "description": "The presence of micro and nano plastics in the environment and their impact on the various life forms within it are of principle concern around the globe. However, whilst a considerable amount of work has been done on the detection of microplastics, many challenges remain in the development of analytical techniques for nanoplastics due to their inherent ultra-small size and ubiquitous shapes. Here, a simple technique is reported based on surface enhanced Raman spectroscopy (SERS) and salt (NaCl) induced aggregation of gold nanoparticles that has been used to detect 100 nm diameter polystyrene (PS) beads. The gold nanoparticles (AuNPs) were synthesized and stabilized by negatively charged sodium citrate. When the PS beads present in a water sample were introduced into the solution of colloidal AuNPs, they interact to each other via hydrophobic interactions and other weak forces (i.e. hydrogen, ionic, and Van der waals forces). Upon an addition of NaCl, the negatively charged ions around the AuNPs are shielded and disturbed, resulting in their aggregation around the PS beads. As a consequence, strong SERS signal enhancement produced by the aggregated AuNPs was observed, and also demonstrated in numerical modelling. Concentrations of 100 nm PS beads as low as 1 part per million (ppm) were measured, and to the best of the author's knowledge, this is the lowest concentration detected for nanoplastics of that size or smaller by such a simple technique that has been reported.<br/><br/>", "keywords": ["/dk/atira/pure/subjectarea/asjc/2200/2208; name=Electrical and Electronic Engineering", "/dk/atira/pure/subjectarea/asjc/3100/3104; name=Condensed Matter Physics", "SERS", "gold nanoparticles", "/dk/atira/pure/subjectarea/asjc/2500/2504; name=Electronic", " Optical and Magnetic Materials", "aggregation", "detection", "salt", "/dk/atira/pure/subjectarea/asjc/2600/2604; name=Applied Mathematics", "/dk/atira/pure/subjectarea/asjc/1700/1706; name=Computer Science Applications", "nanoplastics"], "contacts": [{"organization": "Bibi, Aisha, Pant, Udit; id_orcid 0000-0001-9943-4703, Tate, James; id_orcid 0009-0004-6629-407X, Hill, Daniel, Cao, Cuong; id_orcid 0000-0001-8621-8403,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/9c82191c3ec806abbc790e4c91dccc0b"}, {"rel": "self", "type": "application/geo+json", "title": "9c82191c3ec806abbc790e4c91dccc0b", "name": "item", "description": "9c82191c3ec806abbc790e4c91dccc0b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/9c82191c3ec806abbc790e4c91dccc0b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-15T00:00:00Z"}}, {"id": "11571/1209450", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:08Z", "type": "Journal Article", "created": "2017-09-18", "title": "Microstrip-Ridge Gap Waveguide Filter Based on Cavity Resonators With Mushroom Inclusions", "description": "\u00a9 2017 IEEE. In this paper, we propose a novel microstrip-ridge gap waveguide (MS-RGW) filter configuration, which is based on cavity resonators with mushroom inclusions. The resonators are realized as defects in surrounding mushroom-based perfect magnetic conductor (PMC), and thus, the filter configuration does not require additional conductive layers nor rearrangement of the PMC elements. The hosting MS-RGW is fed through transition from SMA to microstrip ridge, enabling simple fabrication and excellent impedance matching in a wide frequency range. To demonstrate the potential of the proposed structure, four narrowband filters have been designed, fabricated, and measured. The filters exhibit excellent in-band characteristics and small dimensions.", "keywords": ["filter", "Radiation", "Cavity resonator", "microstrip-ridge gap waveguide (MS-RGW)", "0202 electrical engineering", " electronic engineering", " information engineering", "mushroom unit cell", "Condensed Matter Physic", "02 engineering and technology", "Electrical and Electronic Engineering"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/22/8246662/08039283.pdf?arnumber=8039283"}, {"href": "https://doi.org/11571/1209450"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Transactions%20on%20Microwave%20Theory%20and%20Techniques", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11571/1209450", "name": "item", "description": "11571/1209450", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11571/1209450"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "1854/LU-8709527", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Journal Article", "created": "2021-04-25", "title": "Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Efforts related to minimizing the environmental burden caused by agricultural activities and increasing economic efficiency are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using the on-line optimization of trajectory planning for soil-sensitive field operations. The research presented in this paper aims at a proof-of-concept solution with respect to optimizing farm machinery trajectories in order to minimize the environmental burden and increase economic efficiency. As such, it further advances existing CTF solutions by including (1) efficient plot divisions in 3D, (2) the optimization of entry and exit points of both plot and plot segments, (3) the employment of more machines in parallel and (4) obstacles in a farm machinery trajectory. The developed algorithm is expressed in terms of unified modeling language (UML) activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rost\u011bnice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories.</p></article>", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "Technology and Engineering", "controlled traffic farming", "Chemical technology", "mission planning", "TP1-1185", "04 agricultural and veterinary sciences", "Biochemistry", "Article", "Analytical Chemistry", "soil compaction", "Atomic and Molecular Physics", "digital elevation model", "AGRICULTURAL ROBOTS", "0401 agriculture", " forestry", " and fisheries", "Electrical and Electronic Engineering", "and Optics", "coverage path planning", "controlled traffic farming; coverage path planning; digital elevation model; mission planning; soil compaction"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://doi.org/1854/LU-8709527"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8709527", "name": "item", "description": "1854/LU-8709527", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8709527"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-23T00:00:00Z"}}, {"id": "50|userclaim___::30592d0c330e6c206aa54bf98d50d122", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:50Z", "type": "Other", "title": "Spectra Fusion of Mid-Infrared (MIR) and X-ray Fluorescence (XRF) Spectroscopy for Estimation of Selected Soil Fertility Attributes", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Previous works indicate that data fusion, compared to single data modelling can improve the assessment of soil attributes using spectroscopy. In this work, two different kinds of proximal soil sensing techniques i.e., mid-infrared (MIR) and X-ray fluorescence (XRF) spectroscopy were evaluated, for assessment of seven fertility attributes. These soil attributes include pH, organic carbon (OC), phosphorous (P), potassium (K), magnesium (Mg), calcium (Ca) and moisture contents (MC). Three kinds of spectra fusion (SF) (spectra concatenation) approaches of MIR and XRF spectra were compared, namely, spectra fusion-Partial least square (SF-PLS), spectra fusion-Sequential Orthogonalized Partial least square (SF-SOPLS) and spectra fusion-Variable Importance Projection-Sequential Orthogonalized Partial least square (SF-VIP-SOPLS). Furthermore, the performance of SF models was compared with the developed single sensor model (based on individual spectra of MIR and XRF). Compared with the results obtained from single sensor model, SF models showed improvement in the prediction performance for all studied attributes, except for OC, Mg, and K prediction. More specifically, the highest improvement was observed with SF-SOPLS model for pH [R2p = 0.90, root mean square error prediction (RMSEP) = 0.15, residual prediction deviation (RPD) = 3.30, and ratio of performance inter-quantile (RPIQ) = 3.59], successively followed by P (R2p = 0.91, RMSEP = 4.45 mg/100 g, RPD = 3.53, and RPIQ = 4.90), Ca (R2p = 0.92, RMSEP = 177.11 mg/100 g, RPD = 3.66, and RPIQ = 3.22) and MC (R2p = 0.80, RMSEP = 1.91%, RPD = 2.31, RPIQ = 2.62). Overall the study concluded that SF approach with SOPLS attained better performance over the traditional model developed with the single sensor spectra, hence, SF is recommended as the best SF method for improving the prediction accuracy of studied soil attributes. Moreover, the multi-sensor spectra fusion approach is not limited for only MIR and XRF data but in general can be extended for complementary information fusion in order to improve the model performance in precision agriculture (PA) applications.</p></article>", "keywords": ["Electrical and Electronic Engineering", "Biochemistry", "Instrumentation", "Atomic and Molecular Physics", " and Optics", "Analytical Chemistry"], "contacts": [{"organization": "Abdul Mouazen, Lalit Mohan Kandpal, Muhammad Abdul Munnaf, Cristina Cruz,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|userclaim___::30592d0c330e6c206aa54bf98d50d122"}, {"rel": "self", "type": "application/geo+json", "title": "50|userclaim___::30592d0c330e6c206aa54bf98d50d122", "name": "item", "description": "50|userclaim___::30592d0c330e6c206aa54bf98d50d122", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|userclaim___::30592d0c330e6c206aa54bf98d50d122"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Electrical+and+Electronic+Engineering&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Electrical+and+Electronic+Engineering&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Electrical+and+Electronic+Engineering&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Electrical+and+Electronic+Engineering&offset=16", "hreflang": "en-US"}], "numberMatched": 16, "numberReturned": 16, "distributedFeatures": [], "timeStamp": "2026-05-25T00:02:15.970151Z"}