Proceedings of Trends in Electronics and Health Informatics : TEHI 2023 (Lecture Notes in Networks and Systems) （2024）

Mahmud, Mufti (EDT)/ Kaiser, M. Shamim (EDT)/ Bandyopadhyay, Anirban (EDT)

Springer Nature（2024/09発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 744 p.
• 言語 ENG
• 商品コード 9789819739363

Full 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.

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.