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 | ||
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Lo trovi qui: Univ. Federico II | ||
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Machine Learning for Biomedical Application |
Autore | Strzelecki Michał |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (198 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
depthwise separable convolution (DSC)
all convolutional network (ACN) batch normalization (BN) ensemble convolutional neural network (ECNN) electrocardiogram (ECG) MIT-BIH database cephalometric landmark X-ray deep learning ResNet registration electronic human-machine interface blindness gesture recognition inertial sensors IMU dynamic contrast-enhanced MRI kidney perfusion glomerular filtration rate pharmacokinetic modeling multi-layer perceptron parameter estimation instance segmentation computer vision retinal blood vessel image computer-aided diagnosis U-shaped neural network residual learning semantic gap intracranial hemorrhage computed tomography random forest sleep disorder obstructive sleep disorder overnight polysomnogram EEG EMG ECG HRV signals Electronic Medical Record (EMR) disease prediction Amyotrophic Lateral Sclerosis (ALS) weighted Jaccard index (WJI) lung cancer CT images CNN pulmonary fibrosis radiotherapy |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566475403321 |
Strzelecki Michał
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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