Advances in Smart Vehicular Technology, Transportation, Communication and Applications : Proceedings of VTCA 2021 |
Autore | Wu Tsu-Yang |
Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2022 |
Descrizione fisica | 1 online resource (408 pages) |
Altri autori (Persone) |
NiShaoquan
ChuShu-Chuan ChenChi-Hua FavorskayaMargarita |
Collana | Smart Innovation, Systems and Technologies Ser. |
Soggetto genere / forma | Electronic books. |
ISBN |
9789811640391
9789811640384 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910510544103321 |
Wu Tsu-Yang | ||
Singapore : , : Springer Singapore Pte. Limited, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Applications of Internet of Things |
Autore | Chen Chi-Hua |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (162 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
urban traffic
grey relational membership degree traffic congestion judgment mobile positioning commercial vehicle operation data cellular network cloud computing location-based service Internet of Things distributed system architecture intelligent transportation system cellular networks vehicle positioning speed estimation machine learning road anomaly avoidance behavior recognition smartphone opportunistic sensing anklet monitoring and tracking detection algorithms geoprocessing Law Enforcement Telecommunications Systems (LETS) sensor data fusion camera coverage estimation multistage grid subdivision line of sight viewshed analysis obstacle k-anonymity location-based services location privacy the credible chain |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557585403321 |
Chen Chi-Hua | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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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 electronic resource (272 p.) |
Soggetto non controllato |
faster region-based CNN
visual tracking intelligent tire manufacturing eye-tracking device neural networks A* information measure oral evaluation GSA-BP tire quality assessment humidity sensor rigid body kinematics intelligent surveillance residual networks imaging confocal microscope update mechanism multiple linear regression geometric errors correction data partition Imaging Confocal Microscope image inpainting lateral stage errors dot grid target K-means clustering unsupervised learning recommender system underground mines digital shearography optimization techniques saliency information gated recurrent unit multivariate time series forecasting multivariate temporal convolutional network foreign object data fusion update occasion generative adversarial network CNN compressed sensing background model image compression supervised learning geometric errors UAV nonlinear optimization reinforcement learning convolutional network neuro-fuzzy systems deep learning image restoration neural audio caption hyperspectral image classification neighborhood noise reduction GA MCM uncertainty evaluation binary classification content reconstruction kinematic modelling long short-term memory transfer learning network layer contribution instance segmentation smart grid unmanned aerial vehicle forecasting trajectory planning discrete wavelet transform machine learning computational intelligence tire bubble defects offshore wind multiple constraints human computer interaction Least Squares method |
ISBN | 3-03928-864-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404080403321 |
Kung Hsu-Yang | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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