Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 |
Lytras Miltiadis
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Zhao Wenbing
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||