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ORCIDAdvances in Computers, Volume 132
Volume 132, 2024
Applying Computational Intelligence for Social Good
- Preetha Evangeline David
, P. Anandhakumar:
Chapter One - Why is implementing computational intelligence for social good so challenging? Principles and its application. 1-17 - V. Cephas Paul Edward:
Chapter Two - Smart crisis management system for road accidents based on Modified Convolutional Neural Networks-Particle Swarm Optimization hybrid algorithm. 19-31 - G. Ramya, R. Ramaprabha:
Chapter Three - Residential energy management system (REMS) using machine learning. 33-47 - Ashok Kumar Jayaraman, Gayathri Ananthakrishnan, Tina Esther Trueman, Erik Cambria:
Chapter Four - Text-based personality prediction using XLNet. 49-65 - Preetha Evangeline David, P. Anandhakumar:
Chapter Five - Articulating the power of reasoning and gathering data for information security and justice. 67-83 - Sathiyamurthy Kuppuswamy, Lakshminarayana Kodavali:
Chapter Six - Bayesian network-based quality assessment of blockchain smart contracts. 85-110 - K. A. Alex Luke, Preetha Evangeline David, P. Anandhakumar:
Chapter Seven - Short-term wind power prediction using deep learning approaches. 111-139 - Preetha Evangeline David, Atma Sahu:
Chapter Eight - Cyber data trend and intelligent computing. 141-165 - Preetha Evangeline David, Pethuru Raj Chelliah, P. Anandhakumar:
Chapter Nine - Reshaping agriculture using intelligent edge computing. 167-204 - S. Muthurajkumar, B. Rahul, L. S. Sanjay Kumar, E. Gokkul:
Chapter Ten - An automatic path navigation for visually challenged people using deep Q learning. 205-218 - Preetha Evangeline David, V. Vivek, P. Anandhakumar:
Chapter Eleven - Delineating computational intelligence during epidemic emergencies and outbreaks. 219-234 - Preetha Evangeline David, P. Anandhakumar:
Chapter Twelve - ClubNet: Deep learning model for computation, calibration and estimation of biotic stress in crops. 235-250 - Preetha Evangeline David, S. Malathi, P. Anandhakumar:
Chapter Thirteen - Automatic programming (source code generator) based on an ontological model. 251-272
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