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Advances of Future IoE Wireless Network Technology
| Advances of Future IoE Wireless Network Technology |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (190 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
advanced metering infrastructure
anomaly detection Artificial Neural Network autoencoder autonomous car carbon reduction computing in memory consensus mechanism convolution neural network Customer-to-Business data imbalance deep learning digital transformation distributed arithmetic donkey car edge computing energy saving enhanced machine type communication (eMTC) ensemble learning EU general data protection regulation (GDPR) face aging FaceNet GAN generative adversarial network image processing Internet of Things Internet of Things (IoT) k-nearest neighbor (KNN) lightweight neural network low-voltage users machine learning massive machine type communications (mMTC) missing child MRAM n/a processing in memory repetition ResNet SCADA self-driving car skin condition detection SOT-MRAM StyleGAN2 support vector machine (SVM) tool wear transfer learning vendor-managed inventory |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743278503321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Analysis for Power Quality Monitoring
| Analysis for Power Quality Monitoring |
| Autore | González de la Rosa Juan José |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (210 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
big data
computational solutions for advanced metering infrastructure (AMI) constant amplitude trend convolution neural network data compression data scalability DC power quality indices dense-mesh topology detection digital signal processing distribution networks dynamic phasor estimation embedded microcontroller embedded system energizing warning flicker fourth-order statistics FPGA harmonics higher-order statistics (HOS) improved principal component analysis induction machines IoT islanding operation Kalman filters limited resources hardware long-term low computational cost low cost monitor low-voltage DC networks machine learning modelling modulation municipal distribution network operation analysis phasor measurement phasor measurement units power distribution systems power event detection power quality power quality (PQ) power quality disturbance power quality disturbances power quality monitor power quality monitoring power system measurements PQ indices and thresholds reconfigurable computing reliability RMS voltage estimation sensor node sensors and instruments for PQ signal waveform compression smart grid smart grid (SG) applications smart grids soft computing spectral kurtosis statistical signal processing voltage fluctuations voltage ripple voltage sags wind-grid distribution wireless sensor network |
| ISBN | 3-03928-111-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080603321 |
González de la Rosa Juan José
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Neural Networks for IoT-Enabled Smart Applications
| Artificial Neural Networks for IoT-Enabled Smart Applications |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (268 p.) |
| Soggetto topico |
Medicine and Nursing
Neurosciences |
| Soggetto non controllato |
"dry" immersion
5G and beyond accelerometry ANN arrhythmia artificial intelligence (AI) bark detection biochemical and hematological biomarkers canine activity recognition cardiac chemical carcinogens child drowning prevention communication technologies convolution neural network convolutional neural network COVID-19 decentralized deep learning deep learning neural network distracted driving edge computing Electrocardiogram (ECG) electroencephalography ensemble learning fast forward neural network feature selection method gait hybrid neural network imaginary speech inertial measurement unit Internet of Medical Things IoT Kara One database LogNNet neural network machine learning machine learning sensors microprocessor n/a network slicing architecture Parkinson's disease point clouds remote sensing routine blood values search and rescue system signal processing smartphone stacking systematic literature review (SLR) TUG test water level prediction wearable computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911053081103321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Current Updates on Interventional Cardiac Electrophysiology
| Current Updates on Interventional Cardiac Electrophysiology |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (210 p.) |
| Soggetto topico | Medical equipment and techniques |
| Soggetto non controllato |
ablation
ablation index abnormal electrograms algorithm amiodarone antimicrobial therapy arrhythmogenic right ventricular cardiomyopathy atrial fibrillation atrial fibrillation (AF) atrioventricular synchrony cardiac computed tomography angiography cardiac implantable electronic device infection catheter ablation collateral circulation complication convolution neural network coronary sinus (CS) coronary sinus ostium (CSo) COVID-19 pandemic deep learning detection elderly patients electrocardiogram electrocardiography ethanol infusion ganglionated plexus high-frequency stimulation high-power iatrogenic atrial septal defect interventional therapy intracardiac echocardiography leadless dual-chamber pacemaker leadless single-chamber pacemaker left atrial appendage closure left atrial appendage occlusion left ventricular outflow tract non-pulmonary vein triggers outcomes paroxysmal atrial fibrillation paroxysmal supraventricular tachycardia percutaneous left atrial appendage occlusion peri-device leak pharmacotherapy pocket infection preventive strategies pulmonary vein reconnection radiofrequency ablation refractory ventricular tachycardia right-to-left shunt risk factors short-duration slow injection stereotactic body radiotherapy strategy selection syncope treatment vasovagal syncope vein of Marshall vein of Marshall (VOM) ventricular arrhythmias ventricular tachycardia younger patients |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743274603321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital Signal, Image and Video Processing for Emerging Multimedia Technology
| Digital Signal, Image and Video Processing for Emerging Multimedia Technology |
| Autore | Kim Byung-Gyu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (392 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D
acauisition function adversarial loss aerial imagery affine motion model bayesian optimization bit allocation block-compressive sensing (BCS) capacitive touchscreen CenterNet channel allocation character order preserving classification closed circuit television (CCTV) cloud computing cloud system coefficient of variation content-based image retrieval convolution neural network convolutional neural network (CNN) convolutional neural networks de-noising deep leaning deep learning deep neural architecture denoise dependency detection depth map edge preserving electrical insulator error analysis Faster R-CNN fire and smoke detection flexible partitioning focus maps frame complexity gaussian process generative adversarial network genetic algorithms image classification image deblurring image fusion image processing image restoration image retrieval image similarity image stabilization image steganalysis inter-component prediction learning rate lexicon low light machine learning marine leisure activities MCV and MLV filters motion compensation motion estimation moving object multi-focus multi-scale analysis multiple feature multiview high efficiency video coding MVD n/a noise reduction noise removal non-linear filters object detection optical flow pattern mining pattern recognition perceptual loss perspective motion model privacy risk public key cryptography (PKC) quantization (signal) rate control RetinaNet reversible data hiding reversible data hiding (RDH) RFCN saliency scalable video coding scene recognition security sentiment analysis SNIPER social media spatial and temporal SSD step-less adaptive sampling super-resolution surveillance surveillance system ternary classification texture trimaps UAVs UNIWARD vector of locally aggregated descriptor video coding video surveillance VisDrone2019 VVC Wasserstein distance wavelet analysis wavelet transform weakly supervised attention map Wiener-Granger causality WOW wrist-mounted DiverPAD YOLOv3 ρ model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557136003321 |
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Kim Byung-Gyu
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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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Entropy in Image Analysis II
| Entropy in Image Analysis II |
| Autore | Sparavigna Amelia Carolina |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (394 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
AMBTC
art history art statistics atmosphere background backscattered signals balance bit cube blind image quality assessment brain-computer interface (BCI) chaotic system chaotic systems chiaroscuro children chosen plaintext attack complexity compound chaotic system computer vision continuous wavelet transform (CWT) convolution neural network convolutional neural network convolutional neural network (CNN) crowd behavior analysis crowd motion detection cryptography data expansion data hiding declining quality deep neural network detectability dictionary-based coding diffusion direction entropy DNA coding DNA computing Duchenne muscular dystrophy electroencephalography (EEG) engine flame entropy feature distribution entropy feature fusion filtering Golomb-Rice codes human visual system hyperchaotic system image binarization image chaotic encryption image encryption image entropy image information entropy image preprocessing image processing image quality evaluation image retrieval image segmentation infrared radiation IoU Keras key space calculation key-point detection Latin cube local entropy filter lossless compression machine learning magnetic resonance images malaria infection medical color images medical image medical imaging Mordell elliptic curve motor imagery (MI) MXNet neural engineering neuroaesthetics node strength non-maximum suppression normalized entropy nuclear spin generator object detection optical character recognition pattern classification peak signal-to-noise ratio pixel value adjusting Pompe disease pooling method portrait paintings pseudo-random numbers Python quantitative muscle ultrasound quasi-resonant Rossby/drift wave triads renaissance repulsive force RGB RSNNS S-box saliency and distortion salient crowd motion detection security security analysis steganography stego image substitution box symmetry texture-feature parametric imaging thresholding ultrasound weld evaluation weld segmentation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557433403321 |
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Sparavigna Amelia Carolina
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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 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 online resource (100 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
artificial intelligence
autism spectrum disorder (ASD) behavior recognition big data big text data bio-inspired algorithms bioinformatics blockchain blockchain technology classification convolution neural network decentralized architecture deep learning document classification dog detection fusion model Grey Wolf Optimization (GWO) long-term care machine learning multimodal data n/a older people proof-of-replication proxy re-encryption spatio-temporal document storage Support Vector Machine (SVM) |
| 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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Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto topico | Computer science |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN |
9783038976851
3038976857 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755603321 |
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Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (363 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN |
9783038976998
3038976997 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755503321 |
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Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New Research in Children with Neurodevelopmental Disorders
| New Research in Children with Neurodevelopmental Disorders |
| Autore | Romero-Ayuso Dulce María |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (226 p.) |
| Soggetto topico |
Medicine and Nursing
Neurosciences |
| Soggetto non controllato |
activities of daily living
ADHD assessment attention attention deficit and hyperactivity disorder autism autism spectrum disorder autism spectrum disorder (ASD) autism spectrum disorders autoencoder causality cerebral palsy child children co-design co-production cognition complex interventions development convolution neural network death concept diagnosis emotional regulation equine-assisted therapy evaluation executive function executive functions family family impact grief gross motor function guideline health professionals healthcare satisfaction hippotherapy impulsivity inclusive education infantile hemiplegia irreversibility machine learning modified Constraint-Induced Movement Therapy motor coordination disorder n/a neurodevelopment neurodevelopmental neurodevelopmental disorders non-functionality occupational therapy pain participation pathway personal beliefs physical therapy physical therapy modalities play preschool teachers qualitative rehabilitation religious belief scale development school sensory processing social beliefs specific language disorder speech teachers universality upper extremity virtual reality Yemen |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580216103321 |
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Romero-Ayuso Dulce María
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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