Buch, Englisch, 769 Seiten, Format (B × H): 155 mm x 235 mm
Dosci 2025, Volume 2
Buch, Englisch, 769 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-968106-8
Verlag: Springer Nature Singapore
This book features high-quality research papers presented at Sixth Doctoral Symposium on Computational Intelligence (DoSCI 2025), jointly organized by Institute of Engineering & Technology, Lucknow, India, and School of Open Learning, University of Delhi in association with University of Calabria, Italy, during March 28 – 29, 2025. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1: The Spectrum of Data Aggregated by IoT Devices in Smart Cities.- Chapter 2: Research on Stability Regulation and Short-Term Prediction of New Energy Power Generation Based on ICEEMD-VMD Decomposition and Dynamic Threshold Optimization with Bi-LSTM.- Chapter3 : Prevention of Paper Leakage using Threshold Scheme.- Chapter 4: Leveraging Energy Constrained Smart Networks for Soil Data Insights and Harvest Optimization.- Chapter 5: Computational Modeling of Tourist Responsible Behavior: Mediating Effects of Service Quality,Satisfaction, and Place Attachment in Rural Tourism.- Chapter 6: Enhancing SME Performance through Cloud Computing Adoption: A Study on Technological and Environmental Capabilities in the Tourism Sector.- Chapter 7: Multipath Routing with Trust Analysis using TDMA Scheduling in MANETs.- Chapter 8: A Heuristic Approach for optimizing Scalability in Blockchain-Based Healthcare Application: A Review.- Chapter 9: Review on Ethnicity Classification using Images.- Chapter 10: Predictive Modeling of Lung Cancer using Advanced Machine Learning Techniques: A Holistic Approach.-




