Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering : TCCE 2021 (Lecture Notes in Networks and Systems)

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Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering : TCCE 2021 (Lecture Notes in Networks and Systems)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 563 p.
  • 言語 ENG
  • 商品コード 9789811675966
  • DDC分類 621.39

Full Description

This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce, and industry. It is a collection of selected conference papers presented at the 3rd International Conference on Trends in Cognitive Computation Engineering (TCCE 2021), hosted online by Universiti Tun Hussein Onn Malaysia (UTHM) during October 21-22, 2021. It shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.

Contents

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.

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