Applying Computational Intelligence for Social Good

<p>1. Why is implementing Computational Intelligence for social good so challenging? Principles and its Application<br>Preetha Evangeline and Anandhakumar P<br>2. Smart crisis management system for road accidents using Geo-Spacial Machine Learning Techniques<br>Cephas Paul Edward<br>3. Residential Energy Management System (REMS) Using Machine Learning<br>G Ramya and R Ramaprabha<br>4. Text-Based Personality Prediction using XLNet<br>Ashok Kumar Jayaraman and Gayathri Ananthakrishnan<br>5. Articulating the power of reasoning and gathering data for Information security and Justice<br>Preetha Evangeline and Anandhakumar P<br>6. Blockchain Smart Contracts Quality Measurement using Bayesian Networks<br>Lakshminarayana Kodavali I and K. Sathiyamurthy<br>7. Short-Term Wind Power Prediction Using Deep Learning Approaches<br>Anandhakumar P and Alex Luke K.A<br>8. Cyber Data Trend and Intelligent Computing<br>Atma Sahu and Preetha Evangeline<br>9. Demystifying the Edge Intelligence<br>Pethuru Raj Chelliah Sr. and Preetha Evangeline<br>10. An Automatic Path Navigation for Visually Challenged People using Deep Q Learning<br>Muthurajkumar S<br>11. Delineating Computational Intelligence during Epidemic Emergencies and Outbreaks<br>Preetha Evangeline and V. Vivek<br>12. Deep Learning Model for Computation, Calibration and Estimation of Biotic Stress in Crops<br>Preetha Evangeline and Anandhakumar P<br>13. Weather Nowcasting Model: A Rough Set Approach<br>S. Anbarasu and Anandhakumar P<br>14. Intelligent methodologies for Assessment of Plant exracts as protectants against storage pests<br>Gowthamy U. and Hemalatha G.<br>15. Automatic programming (source code generator) based on an ontological model<br>Preetha Evangeline and Rex Vinod. A</p>