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Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
| Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments |
| Autore | Woźniak Marcin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (454 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
3D convolutional neural networks
3D imaging activity measure advanced driver assistance system (ADAS) anchor box artefacts artificial bee colony atrous convolution augmented reality automatic design benchmark bio-inspired techniques brain hemorrhage cascade classifier cascaded center-ness citrus CNN complex search request computer vision continuous casting convolution neural networks (CNNs) convolutional neural network convolutional neural networks cross-scale CT brain CT images data acquisition deep learning deep sort defect detection deformable localization drone detection evidence chains evolving connectionist systems fabric defect feature extraction feature fusion few shot learning focal loss generative adversarial network grow-when-required neural network hand gesture recognition hepatic cancer high-speed trains human-robot interaction Hungarian algorithm hunting image analysis image processing image recognition industrial environments information retriever sensor InSAR machine learning marine systems mixed kernels multi-hop reasoning multi-scale multi-sensor fusion n/a nearest neighbor filtering neural network non-stationary object detection object detector object tracking one-class classifier optical flows parameter efficiency pests and diseases identification pixel convolution pose estimation reinforcement learning RFI semantic segmentation ship classification ship radiated noise spatial pooling spatiotemporal interest points sports scene superalloy tool surface defects surface electromyography (sEMG) SVM synthetic images three-dimensional (3D) vision thresholding tool wear monitoring Traffic sign detection and tracking (TSDR) UAV detection UAV imagery underwater acoustics unmanned aerial vehicles vehicle detection vehicular traffic congestion vehicular traffic flow classification vehicular traffic flow detection video classification video surveillance visual detection visual inspection visual question answering Yolo YOLOv2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557360703321 |
Woźniak Marcin
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
| Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images |
| Autore | Bazi Yakoub |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (438 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
3D information
adversarial learning anomaly detection Batch Normalization building damage assessment CNN conditional random field (CRF) convolution convolutional neural network convolutional neural networks CycleGAN data augmentation deep convolutional networks deep features deep learning densenet DenseUNet depthwise atrous convolution desert despeckling edge enhancement EfficientNets faster region-based convolutional neural network (FRCNN) feature engineering feature fusion framework generative adversarial networks Generative Adversarial Networks global convolution network hand-crafted features high spatial resolution remote sensing high-resolution remote sensing image high-resolution remote sensing imagery high-resolution representations hyperspectral image classification image classification infrastructure ISPRS vaihingen Landsat-8 lifting scheme LSTM LSTM network machine learning mapping min-max entropy misalignments monitoring multi-scale nearest feature selector neural networks object detection object-based Open Street Map open-set domain adaptation orthophoto orthophotos registration orthophotos segmentation OUDN algorithm outline extraction pareto ranking pavement markings pixel-wise classification plant disease detection post-disaster precision agriculture remote sensing remote sensing imagery result correction road road extraction SAR satellite satellites scene classification semantic segmentation Sentinel-1 single-shot single-shot multibox detector (SSD) Sinkhorn loss sub-pixel super-resolution synthetic aperture radar text image matching triplet networks two stream residual network U-Net UAV multispectral images Unmanned Aerial Vehicles (UAV) unsupervised segmentation urban forests visibility water identification water index wildfire detection xBD |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557747903321 |
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Bazi Yakoub
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Intelligent Control through Versatile Intelligent Portable Platforms
| Advanced Intelligent Control through Versatile Intelligent Portable Platforms |
| Autore | Vladareanu Luige |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (322 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D scanning
3D shape reconstruction accessibility adaptive automation and controller adaptive kalman adaptive sensor networks advanced driver-assistance system (ADAS) advanced intelligent control air monitoring Android autism spectrum disorder automatic distortion rectification back-end carbon computer vision connected bike control convolutional neural networks critical infrastructures cyber-physical systems deep learning drone electrical conductivity embedded engagement index EOG artifact exoskeleton hand face recognition facial emotion recognition fiducial markers fish-eye lens fractional order model front-end game-based learning human-robot interaction hybrid neural networks imperfect data independent component analysis intelligent control intelligent cyber enterprise intelligent decision support systems intelligent remote control and communication IoT kernel lower limb machine-learning classifier measurement fusion micro-wire microinjection sensor modules monitoring motion intention acquisition MPWM microfluidic transport MQTT multi-sensor system nanowires NAO robot new technologies optical measurements oxidation Passive Brain Signals PDMS capillary personalized training photodetector picolitre volume measurement pollutant positioning system quadcopter quantum particle swarm optimization rehabilitation robot RGB-D sensors robot control intelligent sensor systems silver catalyst smart technologies smartphone security software sensor data static torque sensor support vector machines systematic literature review systems interface training task user experience versatile intelligent portable platforms video-surveillance virtual and augmented reality vision tasks wide-angle lens β-Ga2O3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557530303321 |
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Vladareanu Luige
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Machine Learning Applications in Big Data Analytics
| Advanced Machine Learning Applications in Big Data Analytics |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (654 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
1D quadratic chaotic system
adaptive learning adversarial attacks ARMA attentional mechanisms BaaS system bagging model behavior detection blockchain consensus algorithm border patrol BP butterfly optimization algorithm capacitated vehicle routing planning CBAM CBCFI classification algorithms cloud clustering algorithms CNN color image combined prediction model community clustering complementary ensemble empirical mode decomposition (CEEMD) composite multi-scale dispersion entropy computer vision concept drift confidentiality management convolutional neural networks coupled map lattice COVID-19 crisscross search data stream mining deep belief network deep feature deep learning design science research differential evolution digital archives disease classification DNA coding DNA computing DNA sequences design document classification dual-update strategy ELM embedding propagation emotion-cause pair extraction energy storage error coefficient event extraction event trigger words event type extreme learning machine fault diagnosis feature selection financial time series forecasting flight safety forecasting forex GA generative adversarial network global optimization GM graph attention network graph convolutional network graph neural network gravity search hash function health Hemerocallis citrina Baroni heterogeneous graph hierarchical clustering hierarchical model high-plateau flight hybrid model hyperspectral image classification image classification image encryption improved matrix particle swarm optimization algorithm (IMPSO) incremental learning information system information systems infrared Jaccard distance KNN least squares method lightweight neural networks long short-term memory network machine learning maturity detection mean absolute error mean-semivariance model membership grade meta-heuristic model predictive control multi-behavior recommendation multi-strategy MultiRocket n/a neural architecture search neural networks NLP object detection online learning opposition-based learning output optimization overseas Chinese associations particle swarm optimization peak shaving and frequency regulation performance analysis pilot abnormal behavior pixel level polymorphic mapping portfolio optimization principal component analysis PROPHET PSO quantum dynamics quick access recorder random replacement ridge regression saving mileage sequential recommendation service level agreement short-term traffic-flow forecasting signal-to-noise ratio distance sliding window spatial-temporal systems splicing model stacking model stock announcement news stock return support vector machine support vector machine swarm intelligence support vector machines swarm intelligence talent stability prediction target detection time series time series classification tomato leaf traffic flow forecasting transaction priority variational mode decomposition warning system whale optimization algorithm YOLOv4 algorithm YOLOv5 algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743276603321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Sensing and Image Processing Techniques for Healthcare Applications
| Advanced Sensing and Image Processing Techniques for Healthcare Applications |
| Autore | Abolghasemi Vahid |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (258 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
3D body shapes
absorption near infrared age anthropometry arterial hypotension artificial intelligence ataxia auditory discrimination therapy BConvLSTM bladder irrigation monitor blind body weights and measures braille system brain activity brain tissue segmentation bubble detection cell mechanics coherent plane-wave compounding (CPWC) complementary subset transmit (CST) convolutional neural network convolutional neural networks CT image cycle constraint decellularization delay-and-sum (DAS) delay-multiply-and-sum (DMAS) denoising convolutional neural network ECG echo-planar imaging EEG EEG evaluation elasticity measurement EMG essential tremor event-related desynchronization event-related synchronization exercise exercise habit feature engineering feature pyramid network finger-nose-finger test H&E hemoglobin sensor hypotension image processing image registration invasive blood pressure liver lung machine learning magnetic resonance fingerprinting magnetic resonance images mechanical properties multi-branch dense prediction multi-branch output multi-branch pooling multi-scale feature learning multimodal features object detection plane-wave (PW) imaging postpartum period power doppler detection pregnancy period ResNet-34 rigid alignment robotic cell manipulation segmentation self-attention self-supervision semantic segmentation signal coherence T1 and T2* relaxation times tinnitus tissue engineering tremor U-Net viscosity measurement vital sign |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486403321 |
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Abolghasemi Vahid
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Computational Intelligence Applications in the Mining Industry
| Advances in Computational Intelligence Applications in the Mining Industry |
| Autore | Ganguli Rajive |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (324 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accidents
artificial intelligence ball mill throughput Bayesian network Bayesian Network Structure Learning (BNSL) bitumen extraction bitumen processability blast impact bluetooth beacon classification and regression tree coal convolutional neural networks damage risk analysis data analytics in mining decision trees digital twin dimensionality reduction discrete event simulation empirical model epithermal gold fragmentation fragmentation size analysis gaussian naïve bayes geological uncertainty geostatistics grinding circuits health and safety management hyperspectral imaging image analysis k-nearest neighbors knowledge discovery macerals machine learning masonry buildings measurement while drilling mine optimization mine safety and health mine worker fatigue mine-to-mill mineral prospectivity mapping minerals processing mining mining equipment uncertainties mining exploitation mining geology modes of operation multispectral imaging multivariate statistics n/a Naive Bayes narratives natural language processing neighbourhood component analysis non-additivity oil sands operational data ore control orebody uncertainty partial least squares regression petrographic analysis point cloud scaling Q-learning random forest random forest algorithm random forest classification random forest model rock type semantic segmentation stockpiles structure from motion support vector machine tactical geometallurgy transport route transport time truck dispatching underground mine unstructured data variable importance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613103321 |
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Ganguli Rajive
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Image Processing, Analysis and Recognition Technology
| Advances in Image Processing, Analysis and Recognition Technology |
| Autore | Frejlichowski Dariusz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (386 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
action recognition
active ageing affine motion compensation ambient assisted living artificial intelligence atmospheric-light estimation attention automatic cell segmentation balanced sampling bi-histogram equalization bilingual scene text reading block-based coding BOF CIELab classification classification accuracy coal coarse-to-fine search strategy coke component Substitution compressed sensing contrast ratio convolution neural network (CNN) convolutional neural network convolutional neural networks cyclical learning rates dark channel deep learning deep transfer learning dental application details preservation detection DPCNN Ethiopic script feature extraction fine-tuning frame Gene Expression Programming (GEP) gradient H.265/HEVC handwritten digit recognition haze removal historical document analysis homography matrix identification IKONOS image analysis image fusion image preclassification image processing image quality image registration images inertinite macerals intensity correction iron ore label smoothing learning rate scheduler local dimming local homography transformation magnitude motion moving direct linear transformation multi-scale sampling multifractal analysis n/a nasal cytology neural networks numeral spotting object detection octave convolution optical Pan sharpening pansharpening parseval frame plant recognition Pléiades VHR Image reactivity remote sensing retinex theory RGB-D rhinology RIP saliency salient object detection Satellite Pour l'Observation de la Terre (SPOT) 6 segmentation shape context shape features silhouette sequences sinter small object sparse dictionary sparse representation spatial consistency spectral consistency spectrum correction stable recovery structure super-resolution (SR) support vector machine suspicious behavior detection synthesis texture tradeoff process transform video coding |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879103321 |
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Frejlichowski Dariusz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Mobile Mapping Technologies
| Advances in Mobile Mapping Technologies |
| Autore | Lehtola Ville |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (268 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
3D camera
3D city model 3D mapping 3D simulation 3D surveying 6-DoF accuracy boresight angles building 3D modelling CAM localization CNN features configuration analysis control points controllability convolutional neural networks correlation coefficient data fusion dataset deep learning DSIEKF DTM embedded-systems evaluation exposure control F-CNN geometrical constraints georeferencing graph matching guidance Helmert variance component estimation IEKF imaging network design inception laser scanning lever arm Lidar LiDAR line feature matching method loop closure detection manhole cover mobile laser scanning Mobile Laser Scanning mobile mapping mobile mapping systems MSS Ouster OS-1-64 outdoor Pandar64 parking statistics path planning performance evaluation photogrammetry plane-based calibration field point and line features point cloud point cloud coverage point cloud density point clouds real-time RetinaNet RGB-D robot operating system scene completion semantic semantic topology graph smart city synthetic TLS reference point clouds transfer learning V-SLAM vehicle detection view planning visual SLAM visual-inertial odometry |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566470903321 |
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Lehtola Ville
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Vehicular Networks
| Advances in Vehicular Networks |
| Autore | Masini Barbara Mavì |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (138 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
5G
5G networks AODV automotive C-RAN collision probability connected vehicles convolutional neural networks cooperative driving damper deep learning diagnosis edge computing end-to-end delay fault detection field trials Fresnel lenses infrastructure-to-vehicle Intelligent Transportation Systems machine learning n/a optimization packet loss ratio pedestrian probabilistic flooding reconfigurable meta-surface resource allocation safety smart environment smart vehicles throughput VANET vehicle-to-everything communication vehicle-to-vehicle vehicles vehicular communication vehicular networks Visible Light Communication visible light communications vulnerable road user detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557786803321 |
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Masini Barbara Mavì
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Application of Multi-Sensor Fusion Technology in Target Detection and Recognition
| Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
| Autore | Heikkonen Jukka |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (168 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
automated image analysis
autonomous autonomous marine navigation autonomous vehicles AUV co-operative convolutional neural network convolutional neural networks deep chlorophyll maximum deep learning EKF inversion ITCOMP-SOM light field machine learning MAREDAT marine environment maritime vessel dataset multi-platform imaging multi-robot multi-sensor fusion multispectral polarimetric imagery object based map object detection ocean colour phytoplankton pigment vertical profile pigments Self Organizing Maps semantic SLAM ship detection spectral library spectral matching specular reflection detection specular reflection inpainting Tara Oceans target detection terrestrial-hyperspectral imagery transparent object USV YOLOv3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613903321 |
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Heikkonen Jukka
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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