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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 |
Kim Byung-Gyu
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensing and Signal Processing in Smart Healthcare
| Sensing and Signal Processing in Smart Healthcare |
| Autore | Zhao Wenbing |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (198 p.) |
| Soggetto topico |
Language
English language teaching (ELT) |
| Soggetto non controllato |
smart homes
Internet of Things (IoT) Wi-Fi human monitoring behavioral analysis ambient assisted living intelligent luminaires wireless sensor network indoor localisation indoor monitoring Graphics Processing Units (GPUs) CUDA OpenMP OpenCL K-means brain cancer detection hyperspectral imaging unsupervised clustering impaired sensor Structural Health Monitoring Time of Flight subharmonics Cascaded-Integrator-Comb (CIC) filter FPGA fixed point math data adaptive demodulator motion estimation inertial sensors simulation spline function Kalman filter eHealth software engineering gesture recognition Dynamic Time Warping Hidden Markov Model usability Cramér-Rao lower bound (CRLB) human motion Inertial Measurement Unit (IMU) Time of Arrival (TOA) wearable sensors endothelial dysfunction photoplethysmography machine learning computer-assisted screening sleep pose recognition keypoints feature matching Bayesian inference near-infrared images scale invariant feature transform heartbeat classification arrhythmia denoising autoencoder autoencoder deep learning auditory perception biometrics computer vision web control access web security human-computer interaction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557483503321 |
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Zhao Wenbing
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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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