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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 electronic resource (454 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
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 |
| 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 electronic resource (438 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
synthetic aperture radar
despeckling multi-scale LSTM sub-pixel high-resolution remote sensing imagery road extraction machine learning DenseUNet scene classification lifting scheme convolution CNN image classification deep features hand-crafted features Sinkhorn loss remote sensing text image matching triplet networks EfficientNets LSTM network convolutional neural network water identification water index semantic segmentation high-resolution remote sensing image pixel-wise classification result correction conditional random field (CRF) satellite object detection neural networks single-shot deep learning global convolution network feature fusion depthwise atrous convolution high-resolution representations ISPRS vaihingen Landsat-8 faster region-based convolutional neural network (FRCNN) single-shot multibox detector (SSD) super-resolution remote sensing imagery edge enhancement satellites open-set domain adaptation adversarial learning min-max entropy pareto ranking SAR Sentinel–1 Open Street Map U–Net desert road infrastructure mapping monitoring deep convolutional networks outline extraction misalignments nearest feature selector hyperspectral image classification two stream residual network Batch Normalization plant disease detection precision agriculture UAV multispectral images orthophotos registration 3D information orthophotos segmentation wildfire detection convolutional neural networks densenet generative adversarial networks CycleGAN data augmentation pavement markings visibility framework urban forests OUDN algorithm object-based high spatial resolution remote sensing Generative Adversarial Networks post-disaster building damage assessment anomaly detection Unmanned Aerial Vehicles (UAV) xBD feature engineering orthophoto unsupervised segmentation |
| 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 Sensing and Control for Connected and Automated Vehicles
| Advanced Sensing and Control for Connected and Automated Vehicles |
| Autore | Huang Chao |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (284 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
TROOP
truck platooning path planning kalman filter V2V communication string stability off-tracking articulated cargo trucks kabsch algorithm potential field sigmoid curve autonomous vehicles connected and autonomous vehicles artificial neural networks end-to-end learning multi-task learning urban vehicle platooning simulation attention executive control simulated driving task-cuing experiment electroencephalogram fronto-parietal network object vehicle estimation radar accuracy data-driven radar latency weighted interpolation autonomous vehicle urban platooning vehicle-to-vehicle communication in-vehicle network analytic hierarchy architecture traffic scenes object detection multi-scale channel attention attention feature fusion collision warning system ultra-wideband dead reckoning time to collision vehicle dynamic parameters Unscented Kalman Filter multiple-model electric vehicle unified chassis control unsprung mass autonomous driving trajectory tracking real-time control model predictive control tyre blow-out yaw stability roll stability vehicle dynamics model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566481403321 |
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Huang Chao
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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 electronic resource (258 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
tremor
essential tremor ataxia finger–nose–finger test H&E decellularization liver tissue engineering semantic segmentation convolutional neural networks segmentation lung CT image U-Net ResNet-34 BConvLSTM magnetic resonance images brain tissue segmentation multi-scale feature learning multi-branch pooling multi-branch dense prediction multi-branch output delay-and-sum (DAS) delay-multiply-and-sum (DMAS) signal coherence power doppler detection plane-wave (PW) imaging complementary subset transmit (CST) coherent plane-wave compounding (CPWC) robotic cell manipulation mechanical properties elasticity measurement viscosity measurement cell mechanics hemoglobin sensor bladder irrigation monitor absorption near infrared artificial intelligence bubble detection exercise EEG EMG ECG brain activity age exercise habit tinnitus auditory discrimination therapy EEG evaluation event-related synchronization event-related desynchronization convolutional neural network image registration cycle constraint multimodal features self-supervision rigid alignment magnetic resonance fingerprinting echo-planar imaging T1 and T2* relaxation times denoising convolutional neural network self-attention feature pyramid network image processing object detection blind braille system 3D body shapes body weights and measures postpartum period pregnancy period anthropometry machine learning vital sign invasive blood pressure feature engineering hypotension arterial hypotension |
| 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 Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021
| Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021 |
| Autore | Choras Michal |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (268 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
pointer instrumentation
image processing object detection K-fold cross-validation Faster-RCNN vein detection digital image processing correlation displacement measurement semantic segmentation farmland vacancy segmentation strip pooling crop growth assessment encoder-decoder monotone curve tangent circle adjacent circle area of location of the curve contour fingerprinting malware analysis malicious network traffic analysis HTTP protocol analysis pcap file analysis malware tracking malware identification graph theory smart meter smart metering wireless sensor network interpolation tangent line curvature error ellipse B-spline dynamic dedicated path protection generic Dijkstra algorithm elastic optical network modulation constraints ECG signal classification PTB-XL deep learning computer vision adversarial attacks adversarial defences image quality assessment stitched images panoramic images image analysis image entropy NetFlow network intrusion detection network behavior analysis data quality feature selection fronthaul Xhaul DSB-RFoF A-RoF B5G 6G DIPP optical channel selection |
| ISBN | 3-0365-5314-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619471903321 |
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Choras Michal
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| 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 electronic resource (386 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
CIELab
component Substitution Pan sharpening Pléiades VHR Image coal inertinite macerals classification multifractal analysis support vector machine block-based coding video coding H.265/HEVC affine motion compensation image registration homography matrix local homography transformation convolutional neural network moving direct linear transformation super-resolution (SR) convolution neural network (CNN) Gene Expression Programming (GEP) deep learning image preclassification suspicious behavior detection motion magnitude gradient reactivity saliency haze removal dark channel atmospheric-light estimation coarse-to-fine search strategy sparse dictionary stable recovery frame RIP local dimming retinex theory bi-histogram equalization contrast ratio details preservation pansharpening image fusion image quality Satellite Pour l'Observation de la Terre (SPOT) 6 spectral consistency spatial consistency synthesis artificial intelligence dental application images detection parseval frame transform sparse representation octave convolution bilingual scene text reading Ethiopic script attention nasal cytology automatic cell segmentation rhinology image analysis feature extraction shape context plant recognition DPCNN BOF numeral spotting historical document analysis convolutional neural networks deep transfer learning handwritten digit recognition spectrum correction intensity correction compressed sensing tradeoff process IKONOS remote sensing fine-tuning learning rate scheduler cyclical learning rates label smoothing classification accuracy neural networks salient object detection RGB-D object detection small object multi-scale sampling balanced sampling texture structure optical coke iron ore sinter image processing segmentation identification action recognition silhouette sequences shape features ambient assisted living active ageing |
| 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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Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
| Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods |
| Autore | Kim Cheonshik |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
data hiding
AMBTC BTC Hamming code LSB predicate encryption inner product encryption constant-size private key efficient decryption constant pairing computations watermarking self-embedding digital signature fragile watermarking constrained backtracking matching pursuit sparse reconstruction compressed sensing greedy pursuit algorithm image processing visual surveillance deep learning object detection latency optimization mobile edge cloud connected autonomous cars smart city video surveillance physical layer security secure transmission secrecy capacity secrecy capacity optimization artificial noise power allocation channel estimation error neural network transfer learning scalograms MFCC Log-mel pre-trained models seismic patch classification CNN-features data complexity handwritten text recognition Residual Network Transformer model named entity recognition |
| ISBN | 3-0365-5394-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469803321 |
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Kim Cheonshik
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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 electronic resource (168 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
target detection
multi-platform imaging spectral matching terrestrial-hyperspectral imagery automated image analysis spectral library multi-sensor fusion object detection deep learning convolutional neural networks autonomous vehicles marine environment co-operative autonomous multi-robot USV AUV semantic SLAM YOLOv3 object based map EKF specular reflection detection specular reflection inpainting transparent object multispectral polarimetric imagery light field maritime vessel dataset ship detection convolutional neural network autonomous marine navigation machine learning inversion ocean colour phytoplankton pigment vertical profile deep chlorophyll maximum Tara Oceans MAREDAT pigments ITCOMP-SOM Self Organizing Maps |
| 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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Artificial Intelligence for Multimedia Signal Processing
| Artificial Intelligence for Multimedia Signal Processing |
| Autore | Kim Byung-Gyu |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (212 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
human-height estimation
depth video depth 3D conversion artificial intelligence convolutional neural networks deep neural network convolutional neural network environmental sound recognition feature combination multimodal joint representation content curation social networks different recommend tasks content based recommend systems scene/place classification semantic segmentation deep learning weighting matrix speech enhancement generative adversarial network relativistic GAN lightweight neural network single image super-resolution image enhancement image restoration residual dense networks visual sentiment analysis sentiment classification graph convolutional networks generative adversarial networks traffic surveillance image processing image de-raining fluency evaluation speech recognition data augmentation variational autoencoder speech conversion heartbeat classification convolutional neural network (CNN) canonical correlation analysis (CCA) Indian Sign Language (ISL) natural language processing avatar sign movement context-free grammar object detection logical story unit detection (LSU) object re-ID computer vision image processing single image artifacts reduction dense networks residual networks channel attention networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595077003321 |
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Kim Byung-Gyu
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
| Artificial Intelligence for Smart and Sustainable Energy Systems and Applications |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (258 p.) |
| Soggetto non controllato |
artificial neural network
home energy management systems conditional random fields LR ELR energy disaggregation artificial intelligence genetic algorithm decision tree static young’s modulus price scheduling self-adaptive differential evolution algorithm Marsh funnel energy yield point non-intrusive load monitoring mud rheology distributed genetic algorithm MCP39F511 Jetson TX2 sustainable development artificial neural networks transient signature load disaggregation smart villages ambient assisted living smart cities demand side management smart city CNN wireless sensor networks object detection drill-in fluid ERELM sandstone reservoirs RPN deep learning RELM smart grids multiple kernel learning load feature extraction NILM energy management energy efficient coverage insulator Faster R-CNN home energy management smart grid LSTM smart metering optimization algorithms forecasting plastic viscosity machine learning computational intelligence policy making support vector machine internet of things sensor network nonintrusive load monitoring demand response |
| ISBN | 3-03928-890-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404078103321 |
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Lytras Miltiadis
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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