IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges : IOT, Data Science and Artificial Intelligence Technologies / / edited by Pradeep Kumar Singh, Sławomir T. Wierzchoń, Wiesław Pawłowski, Arpan Kumar Kar, Yugal Kumar |
Autore | Singh Pradeep Kumar |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (386 pages) |
Disciplina | 004.678 |
Altri autori (Persone) |
WierzchońSławomir T
PawłowskiWiesław KarArpan Kumar KumarYugal |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Engineering - Data processing
Cooperating objects (Computer systems) Big data Computational intelligence Data Engineering Cyber-Physical Systems Big Data Computational Intelligence |
ISBN | 3-031-35783-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Hybrid Compression Technique with Region of Interest for Medical Images in Wireless Sensor Networks -- Exploring IoT Applications in Industry 4.0 – Insights from Review of Literature -- Clustering IoT data using Machine Learning Methods: A Survey -- Towards the Improvement of Personalized Music Recommendation System using Deep Learning Techniques -- The Significance of IoT and Deep Learning in Activity Recognition -- Intelligent Monitoring of Disinfectants. |
Record Nr. | UNINA-9910742498003321 |
Singh Pradeep Kumar | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019) / / edited by Pradeep Kumar Singh, Wiesław Pawłowski, Sudeep Tanwar, Neeraj Kumar, Joel J. P. C. Rodrigues, Mohammad Salameh Obaidat |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (886 pages) |
Disciplina | 006.3 |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Computational intelligence
Machine learning Electrical engineering Data protection Computational Intelligence Machine Learning Communications Engineering, Networks Security |
ISBN | 981-15-3369-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1: Communication & Network Technologies -- Chapter 1. State Of The Art: A Review on Vehicular Communications, Impact of 5g, Fractal Antennas for Future Communication -- Chapter 2. Energy Enhancement of TORA and DYMO by Optimization of Hello Messaging using BFO for MANET's -- Chapter 3. Horseshoe Shaped Multiband Antenna for Wireless Application -- Chapter 4. A Review Paper on Performance Analysis of IEEE 802.11e -- Chapter 5. Voice Control IOT Devices Framework for Smart Home -- Chapter 6. Comprehensive Analysis of Social based Opportunistic Routing Protocol: A Study -- Chapter 7. An Efficient Delay based Load Balancing using AOMDV in MANET -- Chapter 8. Metaheuristic-based Intelligent Solutions Searching Algorithms of Ant Colony Optimization and Backpropagation in Neural Networks -- Chapter 9. Evaluating Cohesion Score with Email Clustering.-Chapter 10. Congestion Control for Named Data Networking Based Wireless Ad-hoc Network.-Chapter 11. A Comparative review of various techniques for Image Splicing Detection and Localization..-Chapter 12. Analysis and Synthesis of Performance Parameter of Rectangular Patch Antenna -- Part 2: Advanced Computing Technologies & Latest Electrical & Electronics Trends -- Chapter 13. Fog Computing Research Opportunities & Challenges: A Comprehensive Survey -- Chapter 14. IIGPTS: IoT-based framework for Intelligent Green Public Transportation System -- Chapter 15. Integrating the AAL CasAware platform within an IoT ecosystem, leveraging the INTER-IoT approach. . |
Record Nr. | UNINA-9910482986403321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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