Paradigms of Smart and Intelligent Communication, 5G and Beyond [[electronic resource] /] / edited by Amrita Rai, Dinesh Kumar Singh, Amit Sehgal, Korhan Cengiz |
Autore | Rai Amrita |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (297 pages) |
Disciplina | 621.382028563 |
Altri autori (Persone) |
Kumar SinghDinesh
SehgalAmit CengizKorhan |
Collana | Transactions on Computer Systems and Networks |
Soggetto topico |
Artificial intelligence
Machine learning Telecommunication Artificial Intelligence Machine Learning Communications Engineering, Networks |
Soggetto non controllato |
Artificial Intelligence
Telecommunication Computers Technology & Engineering |
ISBN | 981-9901-09-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Artificial Cognitive Computing for Smart Communications -- Green IoT using Machine Learning, Deep Learning Models for 5G Networks -- Integration of IOT and 5G Communication -- Role of IoT in Smart Communication and 5G using Antenna Array -- Applications of Deep Reinforcement Learning in Wireless Networks -- Detection of Consumption of Alcohol Using Artificial Intelligence -- Analysis of Finger Vein Pattern Recognition Technique using Machine Learning -- Machine Learning Techniques for Anomaly Detection -- Application of AI & ML in 5G Communication -- Software Defined Network-based Management Architecture for 5G Network -- Reversible Logic Based Single Layer Flip Flops and Shift Registers in QCA Framework for the Application of Nano-communication -- Machine Learning Technique for Few-mode Fiber Design with Inverse Modelling for 5G and Beyond -- IoT for Landslides: Applications, Technologies and Challenges -- A Review: Dust Cleaning Approach of Solar Photovoltaic System Using Emerging Technology -- Prediction of Heart Disease Using Hybrid Machine Learning Technique. |
Record Nr. | UNISA-996546835703316 |
Rai Amrita | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Paradigms of Smart and Intelligent Communication, 5G and Beyond / / edited by Amrita Rai, Dinesh Kumar Singh, Amit Sehgal, Korhan Cengiz |
Autore | Rai Amrita |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (297 pages) |
Disciplina | 621.382028563 |
Altri autori (Persone) |
Kumar SinghDinesh
SehgalAmit CengizKorhan |
Collana | Transactions on Computer Systems and Networks |
Soggetto topico |
Artificial intelligence
Machine learning Telecommunication Artificial Intelligence Machine Learning Communications Engineering, Networks |
Soggetto non controllato |
Artificial Intelligence
Telecommunication Computers Technology & Engineering |
ISBN | 981-9901-09-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Artificial Cognitive Computing for Smart Communications -- Green IoT using Machine Learning, Deep Learning Models for 5G Networks -- Integration of IOT and 5G Communication -- Role of IoT in Smart Communication and 5G using Antenna Array -- Applications of Deep Reinforcement Learning in Wireless Networks -- Detection of Consumption of Alcohol Using Artificial Intelligence -- Analysis of Finger Vein Pattern Recognition Technique using Machine Learning -- Machine Learning Techniques for Anomaly Detection -- Application of AI & ML in 5G Communication -- Software Defined Network-based Management Architecture for 5G Network -- Reversible Logic Based Single Layer Flip Flops and Shift Registers in QCA Framework for the Application of Nano-communication -- Machine Learning Technique for Few-mode Fiber Design with Inverse Modelling for 5G and Beyond -- IoT for Landslides: Applications, Technologies and Challenges -- A Review: Dust Cleaning Approach of Solar Photovoltaic System Using Emerging Technology -- Prediction of Heart Disease Using Hybrid Machine Learning Technique. |
Record Nr. | UNINA-9910726277703321 |
Rai Amrita | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|