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Innovative Topologies and Algorithms for Neural Networks
| Innovative Topologies and Algorithms for Neural Networks |
| Autore | Xibilia Maria Gabriella |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (198 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
facial image analysis
facial nerve paralysis deep convolutional neural networks image classification Chinese text classification long short-term memory convolutional neural network Arabic named entity recognition bidirectional recurrent neural network GRU LSTM natural language processing word embedding CNN object detection network attention mechanism feature fusion LSTM-CRF model elements recognition linguistic features POS syntactic rules action recognition fused features 3D convolution neural network motion map long short-term-memory tooth-marked tongue gradient-weighted class activation maps ship identification fully convolutional network embedded deep learning scalability gesture recognition human computer interaction alternative fusion neural network deep learning sentiment attention mechanism bidirectional gated recurrent unit Internet of Things convolutional neural networks graph partitioning distributed systems resource-efficient inference pedestrian attribute recognition graph convolutional network multi-label learning autoencoders long-short-term memory networks convolution neural Networks object recognition sentiment analysis text recognition IoT (Internet of Thing) systems medical applications |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557553903321 |
Xibilia Maria Gabriella
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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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Integrated Applications of Geo-Information in Environmental Monitoring
| Integrated Applications of Geo-Information in Environmental Monitoring |
| Autore | Wu Weicheng |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
earthquake
damaged groups of buildings classification remote sensing images Convolution Neural Network (CNN) block vector data shoreline change landsat planet scope coastline morphological changes building extraction improved anchor-free instance segmentation high-resolution remote sensing images deep learning land use/land cover (LULC) GF-6 WFV object-oriented change detection double constraints REE mines mining and restoration assessment indicators (MRAIs) damage time trajectory effectiveness of management aeolian process desertification multi-sensor fusion interferometric SAR time-series analysis mussel farming high-resolution image transitional water management environmental pollution open source software synthetic aperture radar (SAR) target sea surface multiple scattering geo-hazard mapping Gaofen-1 satellite land cover environmental factors susceptibility post-classification differencing generalized difference vegetation index (GDVI) multiple linear regression logistic regression |
| ISBN | 3-0365-5756-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782003321 |
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Wu Weicheng
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Biosignal Analysis Methods
| Intelligent Biosignal Analysis Methods |
| Autore | Jović Alan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (256 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
sleep stage scoring
neural network-based refinement residual attention T-end annotation signal quality index tSQI optimal shrinkage emotion EEG DEAP CNN surgery image disgust autonomic nervous system electrocardiogram galvanic skin response olfactory training psychophysics smell wearable sensors wine sensory analysis accuracy convolution neural network (CNN) classifiers electrocardiography k-fold validation myocardial infarction sensitivity sleep staging electroencephalography (EEG) brain functional connectivity frequency band fusion phase-locked value (PLV) wearable device emotional state mental workload stress heart rate eye blinks rate skin conductance level emotion recognition electroencephalogram (EEG) photoplethysmography (PPG) machine learning feature extraction feature selection deep learning non-stationarity individual differences inter-subject variability covariate shift cross-participant inter-participant drowsiness detection EEG features drowsiness classification fatigue detection residual network Mish spatial transformer networks non-local attention mechanism Alzheimer's disease fall detection event-centered data segmentation accelerometer window duration |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557354803321 |
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Jović Alan
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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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Intelligent Biosignal Processing in Wearable and Implantable Sensors
| Intelligent Biosignal Processing in Wearable and Implantable Sensors |
| Autore | Costin Hariton-Nicolae |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (318 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
electrocardiogram
deep metric learning k-nearest neighbors classifier premature ventricular contraction dimensionality reduction classifications Laplacian eigenmaps locality preserving projections compressed sensing convolutional neural network EEG epileptic seizure detection RISC-V ultra-low-power sepsis atrial fibrillation prediction heart rate variability feature extraction random forest annotations myoelectric prosthesis sEMG grasp phases analysis grasp classification machine learning electronic nose liver dysfunction cirrhosis semiconductor metal oxide gas sensor vagus nerve intraneural decoding intrafascicular recording carbon nanotube artificial intelligence lens-free shadow imaging technique cell-line analysis cell signal enhancement deep learning ECG signal reconstruction dictionaries projection matrices signal classifications osteopenia sarcopenia XAI SHAP IMU gait analysis sensors convolutional neural networks Parkinson's disease biomedical monitoring accelerometer pressure sensor disease management electromyography correlation high blood pressure hypertension photoplethysmography electrocardiography calibration classification models COVID-19 ECG trace image transfer learning Convolutional Neural Networks (CNN) feature selection sympathetic activity (SNA) skin sympathetic nerve activity (SKNA) electrodes electrocardiogram (ECG) cardiac time interval dynamic time warping fiducial point detection heart failure seismocardiography wearable electroencephalography motor imagery motor execution beta rebound brain-machine interface EEG classification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580203203321 |
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Costin Hariton-Nicolae
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Computing for Big Data
| Intelligent Computing for Big Data |
| Autore | Wang Wei |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (100 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
multimodal data
behavior recognition dog detection fusion model deep learning older people long-term care artificial intelligence blockchain technology decentralized architecture autism spectrum disorder (ASD) big data bioinformatics machine learning classification bio-inspired algorithms Grey Wolf Optimization (GWO) Support Vector Machine (SVM) convolution neural network spatio-temporal document document classification big text data proxy re-encryption blockchain storage proof-of-replication |
| ISBN | 3-0365-5878-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637792303321 |
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Wang Wei
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Marine Robotics Modelling, Simulation and Applications
| Intelligent Marine Robotics Modelling, Simulation and Applications |
| Autore | Chin Cheng Siong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (242 p.) |
| Soggetto non controllato |
modeling
underwater vehicle gesture-based language text classification navigation and control motion constraints autonomy dynamics marine robotics unmanned surface vehicle field trials actuator constraints robust control fault detection and isolation remotely operated vehicle underwater manipulator intelligent control object obstacle avoidance submersible vehicles overcome strong sea current underwater robot maneuverability identification ROV Lyapunov stability VGI ocean research two-ray path loss obstacle avoidance parallel control approximated optimal control sliding mode control automation systems fault-tolerant control numerical calculation backstepping control deep learning unmanned underwater vehicle (UUV) underwater human–robot interaction aerial underwater vehicle thruster fault airmax position control cross-medium free space second path planning flow sensing underwater vehicle-manipulator system marine systems low-level control dynamic modelling kinematics vehicle dynamics WLAN viscous hydrodynamics fault accommodation RSSI nonlinear systems guidance simulation model artificial lateral system autonomous underwater vehicle typhoon disaster force control |
| ISBN | 3-03928-133-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404086003321 |
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Chin Cheng Siong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Processing on Image and Optical Information
| Intelligent Processing on Image and Optical Information |
| Autore | Yeom Seokwon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (324 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
change detection
NSCT variogram function structure similarity Dongting Lake ego-motion estimation hand-eye calibration IMU lidar odometry sensor fusion texture classification Gabor filter parameter optimization feature selection hybrid ant lion optimizer wireless multimedia sensor networks wildlife monitoring image extraction Hermite adaptive mean-shift biomedical imaging bone fracture calcaneus CT image segmentation zebrafish egg microscopy image processing convolutional neural network digital image correlation high-temperature measurement heat waves thermal disturbance background-oriented schlieren fermentation monitoring quality inspection process automation deep learning superellipsoid model fitting optical sensor multi-sensor face registration inner-distance Student's-t Mixtures Model image fusion continuous casting slabs surface defect classification discrete non-separable shearlet transform gray-level co-occurrence matrix kernel spectral regression block compressed sensing error resilience reconstruction image completion tensor decomposition models image interpolation image up-scaling numerical optimization ADAM machine learning stochastic gradient methods healthy and infected lemons Hyperspectral image Penicillium digitatum pathogen lemon skin dominant spectral wavelength spectral intensity ratio zebrafish larva microscopy image analysis deep neural network clustering evaluation clustering algorithm cluster validity index boundary point interior point radiographic image image processing feature extraction classifier defect detection generative models GAN (Generative adversarial networks) facial image generation database augmentation synthesis autofocus night vision goggles sparse and low-rank matrix decomposition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557104903321 |
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Yeom Seokwon
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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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Intelligent Sensors for Human Motion Analysis
| Intelligent Sensors for Human Motion Analysis |
| Autore | Krzeszowski Tomasz |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
gait recognition
biometrics regularized discriminant analysis particle swarm optimization grey wolf optimization whale optimization algorithm FMCW vital sign XGBoost MFCC COVID-19 3D human pose estimation deep learning generalization optical sensing principle modular sensing unit plantar pressure measurement gait parameters 3D human mesh reconstruction deep neural network motion capture neural networks reconstruction gap filling FFNN LSTM BILSTM GRU pose estimation movement tracking computer vision artificial intelligence markerless motion capture assessment kinematics development machine learning human action recognition features fusion features selection recognition fall risk detection balance Berg Balance Scale human tracking elderly telemedicine diagnosis precedence indicator knowledge measure fuzzy inference rule induction posture detection aggregation function markerless human motion analysis gait analysis data augmentation skeletal data time series classification EMG pattern recognition robot cyber-physical systems RGB-D sensors human motion modelling F-Formation Kinect v2 Azure Kinect Zed 2i socially occupied space facial expression recognition facial landmarks action units convolutional neural networks graph convolutional networks artifact classification artifact detection anomaly detection 3D multi-person pose estimation absolute poses camera-centric coordinates deep-learning |
| ISBN | 3-0365-5074-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469003321 |
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Krzeszowski Tomasz
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities
| Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| Autore | Li Tiancheng |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (266 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
clustering
data fusion target detection Grey Wolf Optimizer Fireworks Algorithm hybrid algorithm exploitation and exploration GNSS MIMU odometer state constraints simultaneous localization and mapping (SLAM) range-only SLAM sum of Gaussian (SoG) filter cooperative approach automatic fare collection system passenger flow forecasting time series decomposition singular spectrum analysis ensemble learning extreme learning machine wheeled mobile robot path panning laser simulator fuzzy logic laser range finder Wi-Fi camera sensor fusion local map odometry deep learning softmax decision-making classification sensor data Internet of Things extended target tracking gamma-Gaussian-inverse Wishart Poisson multi-Bernoulli mixture 5G IoT indoor positioning tracking localization navigation positioning accuracy single access point positioning fuzzy inference calibration car-following Takagi–Sugeno Kalman filter microscopic traffic model continuous-time model LoRa positioning LoRaWAN TDoA map matching compass automotive LFMCW radar radial velocity lateral velocity Doppler-frequency estimation waveform signal model tensor modeling smart community system power efficiency object-detection coprocessor histogram of oriented gradient support vector machine block-level once sliding detection window multi-shape detection-window |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557384803321 |
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Li Tiancheng
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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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Internet of Things and Artificial Intelligence in Transportation Revolution
| Internet of Things and Artificial Intelligence in Transportation Revolution |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (232 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
decision-making
autonomous navigation collision avoidance scene division deep reinforcement learning maritime autonomous surface ships internet of things crowdsourcing indoor localization data fusion security authentication Inertial Measurement Units road transportation traffic signal control speed guidance vehicle arrival time connected vehicle unmanned ships DDPG autonomous path planning end-to-end at-risk driving deep support vector machine driver drowsiness driver stress multi-objective genetic algorithm multiple kernel learning urban freeway hybrid dynamic system state transition unknown inputs observer vehicle density maritime vessel flows intelligent transportation systems deep learning automatic license plate recognition intelligent vehicle access histogram of oriented gradients artificial neural networks convolutional neural networks time-frequency Inertial Measurement Unit (IMU) road anomalies |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557134703321 |
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Lytras Miltiadis
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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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