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Vehicular Sensor Networks : Applications, Advances and Challenges
| Vehicular Sensor Networks : Applications, Advances and Challenges |
| Autore | Kurugollu Fatih |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (238 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
barrier control
sensors platform vehicle detection license plate recognition raspberry-pi features extraction machine learning algorithms connected vehicles, internet of vehicles security IoT blockchain vehicular ad-hoc network wireless sensor networks wake-up radio medium access control protocol receiver-initiated MAC protocol traffic adaptation software-defined vehicular network vehicle-to-everything (V2X) modeling and implementation software defined network information-centric networking (ICN) client-cache (CC) video on demand (VoD) vehicular sensor network (VSN) smart city delay tolerant network infrastructure offloading opportunistic network vehicular mobility energy consumption carbon emission V2V communication message contents plausibility power control vehicle edge computing 5G cellular networks multi-receiver signcryption privacy PSO genetic algorithm ITS UAV simulation dynamic positioning 3D placement vehicular communications cross-validation anti-collaborative attack resource-saving trust computing Caching Named Data Networking Information Centric Networking Vehicular Ad Hoc Networks 5G D2D communication vehicle-to-vehicle communication mode selection vehicular social network vehicular sensor networks (VSN) vehicular ad-hoc networks (VANET) privacy and trust cyber security multimedia and cellular communication emerging IoT applications in VANET and VSN blockchain within VANET and VSN |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Vehicular Sensor Networks |
| Record Nr. | UNINA-9910557115103321 |
Kurugollu Fatih
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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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Virtual Reality in the Assessment, Understanding and Treatment of Mental Health Disorders
| Virtual Reality in the Assessment, Understanding and Treatment of Mental Health Disorders |
| Autore | Riva Giuseppe |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (316 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
Generalized Anxiety Disorder (GAD)
virtual reality exposure in virtual reality cognitive exposure standardized scenario personalized scenario spatial memory episodic memory enactment memory rehabilitation embodied cognition aging body image disturbances body anxiety fear of gaining weight full body illusion body representation obesity health navigation neurorehabilitation systematic review virtual environment cognitive and physical rehabilitation oldest old person Obsessive-compulsive disorders multiple errands test cognitive assessment executive functions computational models decision tree cross-validation real phobic images anxiety disorders specific phobia fMRI neuroimaging anorexia nervosa body image distortion body dissatisfaction embodiment interpersonal multisensory stimulation pain perception telescoped effect amputee patients emotion regulation treatment wellbeing intervention adults distraction systems dental anxiety pain autism spectrum disorder body movements repetitive behaviors machine learning dementia mild cognitive impairment electroencephalogram serious game Alzheimer disease digital biomarker hippocampus MRI cognitive rehabilitation computerized assessment sense of reality hallucinations psychosis derealization sense of agency metacognition stress bodily-self mental health presence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557760003321 |
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Riva Giuseppe
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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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Visual and Camera Sensors
| Visual and Camera Sensors |
| Autore | Park Kang Ryoung |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (274 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
self-assembly device
3D point clouds accuracy analysis VSLAM-photogrammetric algorithm portable mobile mapping system low-cost device BIM camera calibration DLT PnP weighted DLT uncertainty covariance robustness visual-inertial semi-direct SLAM multi-sensor fusion side-rear-view monitoring system automatic online calibration Hough-space unmanned aerial vehicle autonomous landing deep-learning-based motion deblurring and marker detection network slimming pruning model convolutional neural network convolutional filter classification multimodal human recognition blur image restoration DeblurGAN CNN facial expression recognition system computer vision multi-scale featured local binary pattern unsharp masking machine learning lens distortion DoF-dependent distortion partition vision measurement pathological site classification in vivo endoscopy computer-aided diagnosis artificial intelligence ensemble learning convolutional auto-encoders local image patch point pair feature plank recognition robotic grasping flying object detection drone image processing camera networks open-pit mine slope monitoring optimum deployment close range photogrammetry three-dimensional reconstruction OCD4M |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557360203321 |
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Park Kang Ryoung
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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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Wireless Rechargeable Sensor Networks 2019
| Wireless Rechargeable Sensor Networks 2019 |
| Autore | Yu Chang Wu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (108 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
wireless rechargeable sensor networks
multiple mobile chargers charge scheduling genetic algorithm sustainable networks Wireless Sensor Network Dijkstra routing algorithm load balance power consumption energy harvesting wireless sensor network environmental monitoring clustering energy efficiency network lifetime transmission power distributed networks fingerprinting localization ray-tracing wireless sensors hybrid method wireless charger deployment |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557528203321 |
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Yu Chang Wu
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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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