Emerging technologies for smart cities : select proceedings of EGTET 2020 / / Prabin K. Bora, Sukumar Nandi, Shakuntala Laskar, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (X, 209 p. 94 illus., 77 illus. in color.) |
Disciplina | 624 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Smart cities
Smart cities - Technological innovations |
ISBN | 981-16-1550-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Integration of Internet of Things and Blockchain Technology for Smart Cities -- An IoT and Machine Learning Based Crop Prediction System for Precision Agriculture -- A Smart Feature Reduction Approach to Detect Botnet Attack in IoT -- An approach to handle Heterogeneous Healthcare IoT data using Deep Convolutional Neural Network -- Designing of NimbleArm – A Low-Cost and Interactive Semi-Autonomous Robotic Arm -- Cascade-based Pedestrian Detector using Edge and Pattern features. |
Altri titoli varianti | EGTET 2020 |
Record Nr. | UNINA-9910484752003321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Emerging technologies for smart cities : select proceedings of EGTET 2020 / / Prabin K. Bora, Sukumar Nandi, Shakuntala Laskar, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (X, 209 p. 94 illus., 77 illus. in color.) |
Disciplina | 624 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Smart cities
Smart cities - Technological innovations |
ISBN | 981-16-1550-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Integration of Internet of Things and Blockchain Technology for Smart Cities -- An IoT and Machine Learning Based Crop Prediction System for Precision Agriculture -- A Smart Feature Reduction Approach to Detect Botnet Attack in IoT -- An approach to handle Heterogeneous Healthcare IoT data using Deep Convolutional Neural Network -- Designing of NimbleArm – A Low-Cost and Interactive Semi-Autonomous Robotic Arm -- Cascade-based Pedestrian Detector using Edge and Pattern features. |
Altri titoli varianti | EGTET 2020 |
Record Nr. | UNISA-996464416203316 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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