Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering

Part 1: Artifitial Intelligence and Soft Computing.- Chapter 1. Face Mask Detection in the era of COVID-19 : A CNN Based Approach.- Chapter 2. A Weighted Average Ensemble Technique to Predict Heart Disease.- Chapter 3. Nutritious Menu Planning For Sinusitis Patient In Malaysian Through Optimization Approach.- Chapter 4. Nutritious Menu and Nutrient Planning For Avoiding Stroke Disease by Using Optimization Technique.- Chapter 5. Application of Machine Learning to Traditional System for Analyzing the Conditional Results of School and College Students.- Chapter 6. Machine Learning Classication Algorithms for detecting depressive symptoms among University Students in Bangladesh.- Chapter 7. Performance Analysis of Deep Neural Network Models for Weather Forecasting in Bangladesh.- Chapter 8. Instantaneous Communication between Cerebellum, Hypothalamus, and Hippocampus (C-H-H) during Decision-Making Process in Human Brain-III.- Chapter 9. Bangla Depressive Social Media Text Detection Using Hybrid Deep Learning Approach.- Chapter 10. Implementation of Automated Attendance System using Deep Learning.- Part 2: Cognitive Science and Computational Biology.- Chapter 11. Cognitive engineering for AI: an octave drawing test for building a mathematical structure of a subconscious mind .- Chapter 12. A Hybrid CNN-LSTM based Emotional Status Determination using Physiology Signals.- Chapter 13. Effect of Sample Volume in Escherichia Coli Detection in Water using Double-decker Resonator.- Chapter 14. A Probit Regression in Identifying the Risk Factors of Cervical Cancer in Malaysian Private Hospital.- Chapter 15. Binary Programming for Primary School Diet Among Autism Children in Malaysia.<div><br></div><div><br></div><div><br></div>