Buch, Englisch, 546 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1009 g
Proceedings of ICACCP 2023
Buch, Englisch, 546 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1009 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-99-4283-1
Verlag: Springer Nature Singapore
This book presents high-quality, peer-reviewed papers from Fourth International Conference on Advanced Computational and Communication Paradigms (ICACCP 2023), organized by Department of Computer Science and Engineering (CSE), Sikkim Manipal Institute of Technology (SMIT), Sikkim, India, during February 16–18, 2023. ICACCP 2023 covers advanced computational paradigms and communications technique which provides failsafe and robust solutions to the emerging problems faced by mankind. Technologists, scientists, industry professionals, and research scholars from regional, national, and international levels are invited to present their original unpublished work in this conference.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
Weitere Infos & Material
Part 1: Soft Computing and Machine Learning.- Chapter 1. Performance Analysis of Clustering Using Modified Grey Wolf Optimization.- Chapter 2. Designing of Advanced Machine Learning based Predictive Model for Maternal Mortality.- Chapter 3. Multi-Criteria based Page Ranking using Metaheuristic Swarm Optimization.- Chapter 4. k-NN-SSc: An Effective Similarity Score for k-NN Classifier.- Chapter 5. Password Management System using Blockchain.- Chapter 6. Deep Reinforcement Learning Algorithms for D2D Communications: A Comparative Analysis.- Chapter 7. AI-enabled IDS for Identifying Malicious Traffics in Cloud Systems.- Chapter 8. NITSDN: Development of SDN dataset for ML-based Intrusion Detection System.- Chapter 9. Association Rule Mining in Distributed Environment: A Survey.- Chapter 10. Performance Analysis of the AdaGrad Family of Algorithms.- Chapter 11. Time-Related Natural Language Query Handling to Extract Autism Spectrum Disorder Information from Temporal Database.- Chapter12. Emotion-Based Music Recommendation.- Chapter 13. A Comprehensive Study on Natural Language Processing, It's Techniques and Advancements in Nepali Language.- Chapter 14. Quality Evaluation of Enterprise Architecture Frameworks.- Chapter 15. Natural Language Query Processing System to Extract Autism Spectrum Disorder Information from Database. etc.