Description
This book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2023), held at Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh, during December 26–27, 2023. The book is broadly divided into five sections—artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.
Table of Contents
A Deep Learning-based Framework for Detecting Depression from Electroencephalogram Signals.- A Review on Emotion Detection From Text: Opportunities and Challenges.- An Effective Combination of Deep and Machine Learning Models for Monkeypox Detection from dermatographic Image.- A Time-efficient and Effective Image Contrast Enhancement Technique using Fuzzification and Defuzzification.- An Ensemble Machine Learning-based Approach for Detecting Malicious Websites using URL Features.- The Multi-Class Paradigm: How Transformers are Reshaping Language Analysis in NLP.- Deep learning Precision Farming: Identification of Bangladeshi-Grown Fruits Using Transfer Learning-Based Detection.- Deep Learning Solutions for Detecting Bangla Fake News: A CNN-Based Approach.- A Two Stage Stacking Ensemble Learning for Employee Attrition Prediction.- Ensemble Learning Approaches for Alzheimers Disease Classification in Brain Imaging Data.- Pseudo-Knighted Cocktail Shaker Sort.
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