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  • Electron microscopy  (1,196)
  • 04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk
  • Angiosperms
  • Evolution
  • InSAR
  • Oceanographic instrumentation
  • Stromboli
  • Springer  (2,580)
  • American Geophysical Union  (54)
  • AGU  (25)
  • MDPI - Multidisciplinary Digital Publishing Institute  (24)
  • Taylor & Francis  (6)
  • Agu
  • Institute of Physics
  • Molecular Diversity Preservation International
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  • 1
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    January 2002 volcano-tectonic eruption of Nyiragongo volcano, Democratic Republic of Congo (2007)
    American Geophysical Union
    Details
    Publication Date: 2024-05-09
    Description: In January 2002, Nyiragongo volcano erupted 14–34 × 106 m3 of lava from fractures on its southern flanks. The nearby city of Goma was inundated by two lava flows, which caused substantial socioeconomic disruption and forced the mass exodus of the population, leaving nearly 120,000 people homeless. Field observations showed marked differences between the lava erupted from the northern portion of the fracture system and that later erupted from the southern part. These observations are confirmed by new 238U and 232Th series radioactive disequilibria data, which show the presence of three different phases during the eruption. The lavas first erupted (T1) were probably supplied by a residual magma batch from the lava lake activity during 1994–1995. These lavas were followed by a fresh batch erupted from fissure vents as well as later (May–June 2002) from the central crater (T2). Both lava batches reached the surface via the volcano's central plumbing system, even though a separate flank reservoir may also have been involved in addition to the main reservoir. The final phase (T3) is related to an independent magmatic reservoir located much closer (or even beneath) the city of Goma. Data from the January 2002 eruption, and for similar activity in January 1977, suggest that the eruptive style of the volcano is likely to change in the future, trending toward more common occurrence of flank eruptions. If so, this would pose a significant escalation of volcanic hazards facing Goma and environs, thus requiring the implementation of different volcano-monitoring strategies to better anticipate where and when future eruptions might take place.
    Description: Published
    Description: B09202
    Description: 3.6. Fisica del vulcanismo
    Description: JCR Journal
    Description: reserved
    Keywords: Nyiragongo ; forecasting ; volcanic hazard ; 04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 2
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    What, if anything, are species? (2021)
    Taylor & Francis | CRC Press
    Details
    Publication Date: 2024-04-14
    Description: This book is an extended argument for abandoning the species rank. Instead, the author proposes that the rank of "species" be replaced by a pluralistic and multi-level view. In such a view, all clades including the smallest identifiable one would be named and studied within a phylogenetic context. What are currently called "species" represent different sorts of things depending on the sort of organisms and processes being considered. This is already the case, but is not formally recognized by those scientists using the species rank in their work. Adopting a rankless taxonomy at all levels would enhance academic studies of evolution and ecology and yield practical benefits in areas of public concern such as conservation. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. KEY FEATURES • Proposes the replacement of restrictive species concepts with a pluralistic view • Suggests abandoning the formal taxonomic rank of "species" • Considers zoological, botanical, and microbiological aspects of the species level • Deals with practical issues such as conservation, inventories, and field guides
    Keywords: Wildlife: general interest ; Botany and plant sciences ; Evolution ; Biology, life sciences ; thema EDItEUR::W Lifestyle, Hobbies and Leisure::WN Nature and the natural world: general interest::WNC Wildlife: general interest ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAJ Evolution ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
    Language: English
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  • 3
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    ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Twelve edited original papers on the latest and state-of-art results of topics ranging from calibration, validation, and science to a wide range of applications using ALOS-2/PALSAR-2. We hope you will find them useful for your future research.
    Keywords: Sentinel-1 ; ALOS/PALSAR-2 ; land subsidence ; accuracy assessment ; Alexandria City ; Egypt ; local climate zone ; random forest ; feature importance ; land surface temperature ; grid cells ; Sentinel-2 ; PALSAR-2 ; ASTER ; soil moisture ; ALOS-2 ; GA-BP ; water cloud model ; L-band ; SAR ; backscattering ; soil moisture content ; LAI ; HH and HV polarization ; flood ; NoBADI ; Florida ; Hurricane Irma ; synthetic aperture radar ; polarimetric radar ; co-polarized phase difference ; radar scattering ; vegetation ; radar applications ; agriculture ; leaf area index ; leave-one-out cross-validation ; oil palm ; radar vegetation index ; vegetation descriptors ; ecosystem carbon cycle ; L-band SAR ; vegetation index ; random forest regression ; plantation ; permafrost ; InSAR ; Qinghai-Tibet Plateau ; ALOS ; thermal melting collapse ; Sentinel-1A ; SBAS-InSAR ; heavy forest area ; potential landslide identification ; SAR-based landslide detection ; Growing Split-Based Approach (GSBA) ; Hokkaido landslide ; Putanpunas landslide ; SAR polarimetry ; model-free 3-component decomposition for full polarimetric data (MF3CF) ; radar polarimetry ; calibration ; Faraday rotation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Language: English
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  • 4
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    Urban Deformation Monitoring using Persistent Scatterer Interferometry and SAR tomography (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This book focuses on remote sensing for urban deformation monitoring. In particular, it highlights how deformation monitoring in urban areas can be carried out using Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR). Several contributions show the capabilities of Interferometric SAR (InSAR) and PSI techniques for urban deformation monitoring. Some of them show the advantages of TomoSAR in un-mixing multiple scatterers for urban mapping and monitoring. This book is dedicated to the technical and scientific community interested in urban applications. It is useful for choosing the appropriate technique and gaining an assessment of the expected performance. The book will also be useful to researchers, as it provides information on the state-of-the-art and new trends in this field
    Keywords: TA1-2040 ; T1-995 ; surface subsidence ; PS ; permanent scatterers ; land subsidence ; PS-InSAR ; thermal dilation ; SBAS-InSAR ; Sepulveda Transit Corridor ; deformation ; differential SAR interferometry ; reclaimed land ; Istanbul ; deformation monitoring ; skyscrapers ; generalized likelihood ratio test ; validation ; uplift ; displacement monitoring ; pursuit monostatic ; radar interferometry ; Sentinel-1A ; urbanization ; synthetic aperture radar ; Turkey ; terraSAR-X ; geological and geomorphological mapping ; London ; differential compaction ; expansive soils ; health monitoring ; Copernicus Sentinel-1 ; displacement mapping ; PALSAR ; land reclamation ; tomography ; Venetian-Friulian Plain ; ALOS PALSAR ; multi-temporal DInSAR ; SAR interferometry ; InSAR ; persistent scatterers ; carbonate karstification ; ENVISAT ASAR ; multiple PS detection ; sparse signals ; urban subsidence ; time series InSAR analysis ; time series analysis ; Persistent Scatterer Interferometry (PSI) ; engineering construction ; Rome ; persistent scatterer interferometry ; subsidence ; persistent scatterer interferometry (PSI) ; SNAP-StaMPS ; Lingang New City ; dewatering ; atmospheric component ; urban deformation monitoring ; Sentinel-1 ; differential interferometry ; Late-Quaternary deposits ; modelling ; Generalized Likelihood Ratio Test ; Persistent Scatterer Interferometry ; synthetic aperture radar (SAR) ; Capon estimation ; differential tomography ; deformation time series ; groundwater level variation ; radar detection ; multi-look SAR tomography ; spaceborne SAR ; SAR ; ERS-1/-2 ; reclamation settlements ; Wuhan ; subsidence monitoring ; water level changes ; polarimetry ; asymmetric subsidence ; urban monitoring ; urban areas ; landslide ; SAR tomography ; Urayasu City ; risk ; Los Angeles ; PALSAR-2 ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 5
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    Advances in Remote Sensing of the Inland and Coastal Water Zones (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This reprint covers works related to research on the environments of coastal zones and inland waters, solving complex and current scientific problems in these areas. Tasks undertaken by the authors address current research trends using contemporary remote sensing techniques and cover various thematic areas or scientific approaches. Some works propose new possibilities of using geospatial data or methods of remote sensing data processing. They include issues related to the use of augmented and virtual reality, object-oriented image analysis, UAV-based photogrammetry, fusion of hydroacoustic and photogrammetric data, spatial interpolation, and geodata reduction techniques. These methods are being developed to support safe navigation in inland waters; low-cost monitoring of underwater objects; creating bathymetric maps and topobathymetric digital models or mapping submerged aquatic vegetation. The papers also focus on improving existing solutions and demonstrate new research approaches, including atmospheric correction, adjacency effects for remotely sensed images, classification of wetland vegetation, as well as determining the speed of sound in shallow waters for hydrography applications. These papers demonstrate the potential of the information contained in the remote sensing data acquired by the various platforms, as well as techniques for image processing based on the Google Earth Engine (GEE).
    Keywords: DTM ; seabed ; hydrography ; UAV ; topobathymetry ; data reduction ; spatial interpolation ; terrain modeling ; atmospheric correction ; CASI-1500 ; Polymer ; remote sensing reflectance ; coastal waters ; USV ; digital bathymetric model ; bathymetry ; data fusion ; surface modeling ; submerged aquatic vegetation ; macrophytes ; OBIA ; GeOBIA ; high-resolution ; unmanned aerial vehicle (UAV) ; coastal monitoring ; image processing ; object detection ; underwater reef ; sound speed in water ; sound velocity profiler ; hydrographic surveys ; reliability of digital sea bottom model ; coastal zone ; shoreline changes ; erosion/accretion ; multi-temporal orthophotomaps ; remote sensing ; Digital Elevation Model (DEM) ; geo-information services ; Mobile Augmented Reality (MAR) ; inland and coastal water zones ; navigation ; spatial databases and GIS ; Virtual Reality Geographic Information System (VRGIS) ; adjacency effects ; surface reflectance ; aerosol ; 6SV ; radiative transfer ; coastal dynamics ; coastline erosion ; vertical ground displacement ; InSAR ; HLS data ; Lake Erie ; NDVI ; vegetation classification ; sea–land mapping ; cloud computing ; Guadiaro river ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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  • 6
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    Mapping and Monitoring of Geohazards with Remote Sensing Technologies (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Earth observation (EO) techniques have proven to be reliable and accurate for monitoring land-surface deformations that occur naturally (landslides, earthquakes, and volcanoes) or due to anthropogenic activities (ground-water overexploitation, extraction of oil and gas). In cases where mitigation methods have to be put into practice, the detailed mapping, characterization, monitoring and simulation of the geocatastrophic phenomena have to precede their design and implementation. EO techniques possess high potential and suitability as alternative, cost-efficient methods for the management of geohazards, and have been proven to be a valuable tool for verifying and validating the spatial extent and evolution of the deformations. To this extent, the current reprint covers innovative applications and case studies on the mapping and monitoring of all kinds of geohazards with remote-sensing technologies. Submissions that make use of new tools and methodologies, including the use of data-driven machine learning methods, were encouraged.
    Keywords: Geohazards ; InSAR ; Remote sensing ; Photogrammetry ; Unmanned aerial vehicles ; GNSS ; TLS ; Persistent scatterer interferometry ; Machine learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 7
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    Data Processing and Modeling on Volcanic and Seismic Areas (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This special volume aims to collecg new ideas and contributions at the frontier between the fields of data handling, processing and modeling for volcanic and seismic systems. Technological evolution, as well as the increasing availability of new sensors and platforms, and freely available data, pose a new challenge to the scientific community in the development new tools and methods that can integrate and process different information. The recent growth in multi-sensor monitoring networks and satellites, along with the exponential increase in the spatiotemporal data, has revealed an increasingly compelling need to develop data processing, analysis and modeling tools. Data processing, analysis and modeling techniques may allow significant information to be identified and integrated into volcanic/seismological monitoring systems. The newly developed technology is expected to improve operational hazard detection, alerting, and management abilities.
    Keywords: seismic swarm ; relocated aftershocks ; transition zone ; b value temporal variation ; central Ionian Islands (Greece) ; volcanic eruptions ; volcanic plumes ; CO2 flux ; DIAL-Lidar ; data processing techniques ; SAR ; InSAR ; ground deformation ; Sentinel-1 ; volcano monitoring ; GNSS ; seismicity ; slope instability ; MT-InSAR ; volcanoes ; ASTER ; Robust Satellite Techniques ; Google Earth Engine ; volcanic mounds ; seismic time and depth processing ; MVA ; CO2 storage ; volcano geodesy ; multidisciplinary monitoring ; paroxysms ; lava fountain ; volcanic eruption ; modeling ; tilt ; GPS ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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  • 8
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    The Pangenome (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-05
    Description: This open access book offers the first comprehensive account of the pan-genome concept and its manifold implications. The realization that the genetic repertoire of a biological species always encompasses more than the genome of each individual is one of the earliest examples of big data in biology that opened biology to the unbounded. The study of genetic variation observed within a species challenges existing views and has profound consequences for our understanding of the fundamental mechanisms underpinning bacterial biology and evolution. The underlying rationale extends well beyond the initial prokaryotic focus to all kingdoms of life and evolves into similar concepts for metagenomes, phenomes and epigenomes. The book’s respective chapters address a range of topics, from the serendipitous emergence of the pan-genome concept and its impacts on the fields of microbiology, vaccinology and antimicrobial resistance, to the study of microbial communities, bioinformatic applications and mathematical models that tie in with complex systems and economic theory. Given its scope, the book will appeal to a broad readership interested in population dynamics, evolutionary biology and genomics.
    Keywords: Microbial Genetics and Genomics ; Evolutionary Biology ; Genetics and Population Dynamics ; Microbial Ecology ; Human Genetics ; Genetics and Genomics ; Comparative genomics ; Metagenomics ; Microbial Population Analysis ; Pangenome Profile ; Supra-Genome Analysis ; Adaptive Evolution ; Computational Tools ; Bioinformatic Genomics ; Core Dispensable Genome ; Selection, Recombination, Composition ; Acquired Resistance ; Bacterial Species Concept ; Genomic Diversity ; Bacterial Ecology, Microevolution ; Open Access ; Pan-metagenomics ; Pan-microbiomics ; Pan-epigenome ; Gene Transfer ; Pan-phenomes ; Microbiology (non-medical) ; Genetics (non-medical) ; Evolution ; Applied mathematics ; Ecological science, the Biosphere ; Medical genetics ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSG Microbiology (non-medical) ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAJ Evolution ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAF Ecological science, the Biosphere ; thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFN Medical genetics ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical)
    Language: English
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  • 9
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    Xenopus (2022)
    Taylor & Francis | CRC Press
    Details
    Publication Date: 2024-04-05
    Description: This book focuses on the amphibian, Xenopus, one of the most commonly used model animals in the biological sciences. Over the past 50 years, the use of Xenopus has made possible many fundamental contributions to our knowledge in cell biology, developmental biology, molecular biology, and neurobiology. In recent years, with the completion of the genome sequence of the main two species and the application of genome editing techniques, Xenopus has emerged as a powerful system to study fundamental disease mechanisms and test treatment possibilities. Xenopus has proven an essential vertebrate model system for understanding fundamental cell and developmental biological mechanisms, for applying fundamental knowledge to pathological processes, for deciphering the function of human disease genes, and for understanding genome evolution. Key Features Provides historical context of the contributions of the model system Includes contributions from an international team of leading scholars Presents topics spanning cell biology, developmental biology, genomics, and disease model Describes recent experimental advances Incorporates richly illustrated diagrams and color images Related Titles Green, S. L. The Laboratory Xenopus sp. (ISBN 978-1-4200-9109-0) Faber, J. & P. D. Nieuwkoop. Normal Table of Xenopus laevis (Daudin): A Systematical & Chronological Survey of the Development from the Fertilized Egg till the End of Metamorphosis (ISBN 978-0-8153-1896-5) Jarret, R. L. & K. McCluskey. The Biological Resources of Model Organisms (ISBN 978-1-0320-9095-5)
    Keywords: Developmental biology ; Genetics (non-medical) ; Evolution ; Ecological science, the Biosphere ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSC Developmental biology ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAJ Evolution ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAF Ecological science, the Biosphere
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  • 10
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    Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-30
    Description: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –
    Keywords: Traffic sign detection and tracking (TSDR) ; advanced driver assistance system (ADAS) ; computer vision ; 3D convolutional neural networks ; machine learning ; CT brain ; brain hemorrhage ; visual inspection ; one-class classifier ; grow-when-required neural network ; evolving connectionist systems ; automatic design ; bio-inspired techniques ; artificial bee colony ; image analysis ; feature extraction ; ship classification ; marine systems ; citrus ; pests and diseases identification ; convolutional neural network ; parameter efficiency ; vehicle detection ; YOLOv2 ; focal loss ; anchor box ; multi-scale ; deep learning ; neural network ; generative adversarial network ; synthetic images ; tool wear monitoring ; superalloy tool ; image recognition ; object detection ; UAV imagery ; vehicular traffic flow detection ; vehicular traffic flow classification ; vehicular traffic congestion ; video classification ; benchmark ; semantic segmentation ; atrous convolution ; spatial pooling ; ship radiated noise ; underwater acoustics ; surface electromyography (sEMG) ; convolution neural networks (CNNs) ; hand gesture recognition ; fabric defect ; mixed kernels ; cross-scale ; cascaded center-ness ; deformable localization ; continuous casting ; surface defects ; 3D imaging ; defect detection ; object detector ; object tracking ; activity measure ; Yolo ; deep sort ; Hungarian algorithm ; optical flows ; spatiotemporal interest points ; sports scene ; CT images ; convolutional neural networks ; hepatic cancer ; visual question answering ; three-dimensional (3D) vision ; reinforcement learning ; human–robot interaction ; few shot learning ; SVM ; CNN ; cascade classifier ; video surveillance ; RFI ; artefacts ; InSAR ; image processing ; pixel convolution ; thresholding ; nearest neighbor filtering ; data acquisition ; augmented reality ; pose estimation ; industrial environments ; information retriever sensor ; multi-hop reasoning ; evidence chains ; complex search request ; high-speed trains ; hunting ; non-stationary ; feature fusion ; multi-sensor fusion ; unmanned aerial vehicles ; drone detection ; UAV detection ; visual detection ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
    Language: English
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