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Artificial Intelligence Applications to Smart City and Smart Enterprise
| Artificial Intelligence Applications to Smart City and Smart Enterprise |
| Autore | Impedovo Donato |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (374 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
advance rate
ANFIS-GA Apache Spark Arabic language artificial intelligence artificial training dataset automated driving vehicle autonomous driving Bacterial Foraging algorithm bagging Better Life Index big data big data analysis bus traffic flow prediction cameras computer vision convolution convolutional neural network cyclic dynamics data analysis data mining decision support system deep learning detection diabetes prediction disaster management disease detection driver distraction driver's behavior detection DSS embeddings ensemble learning extreme learning machine Feature Adaptive graph convolutional network Grassmann manifold GRU healthcare high performance computing (HPC) homecare assistance information system image recognition integrated model intelligence transportation system Internet of Things Isolated Microgrid ITS knowledge preservation large-scale database life quality LSTM machine learning machine-learning message scheduling minimizing traffic congestion motion behavior multi-label learning muti-attribute analysis neural architecture search neural network neural networks online learning optimization pattern recognition pedestrian attributes potential pedestrian safety principal component analysis program management quality of life recurrent neural network residual networks risk assessment RNN routing SAEs Saudi dialect semantic attributes recognition sensors shield performance smart car smart cities smart city Smart city smart infotainment smart tourism spatial-temporal dependencies spatio-temporal state analysis surveillance image surveillance video Swarm Intelligence algorithm symptoms detection texting and driving traffic congestion detection traffic flow prediction traffic periodicity traffic prediction traffic speed prediction traffic surveillance video TrafficWave trajectories transfer learning tunnel urban mobility VDTN Vehicle-to-Infrastructure vehicular networks vehicular traffic wavenet |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295703321 |
Impedovo Donato
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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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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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Deep Learning Applications with Practical Measured Results in Electronics Industries
| Deep Learning Applications with Practical Measured Results in Electronics Industries |
| Autore | Kung Hsu-Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (272 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
A*
background model binary classification CNN compressed sensing computational intelligence content reconstruction convolutional network data fusion data partition deep learning digital shearography discrete wavelet transform dot grid target eye-tracking device faster region-based CNN forecasting foreign object GA gated recurrent unit generative adversarial network geometric errors geometric errors correction GSA-BP human computer interaction humidity sensor hyperspectral image classification image compression image inpainting image restoration imaging confocal microscope Imaging Confocal Microscope information measure instance segmentation intelligent surveillance intelligent tire manufacturing K-means clustering kinematic modelling lateral stage errors Least Squares method long short-term memory machine learning MCM uncertainty evaluation multiple constraints multiple linear regression multivariate temporal convolutional network multivariate time series forecasting neighborhood noise reduction network layer contribution neural audio caption neural networks neuro-fuzzy systems nonlinear optimization offshore wind optimization techniques oral evaluation recommender system reinforcement learning residual networks rigid body kinematics saliency information smart grid supervised learning tire bubble defects tire quality assessment trajectory planning transfer learning UAV underground mines unmanned aerial vehicle unsupervised learning update mechanism update occasion visual tracking |
| ISBN | 3-03928-864-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080403321 |
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Kung Hsu-Yang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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