Applied Machine Learning on Sensing Technologies

Md Atiqur Rahman Ahad, Anton Nijholt, Md Abdus Samad Kamal, Björn Schuller, Matthew A. Turk

• Publisher: CRC Press
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9781040346549
• Subtopic: Computer Science General
• Index: Computer Science

This book explores applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. It includes a series of methodologies, exploration of new applications, presentations on relevant datasets, challenging applications, guidelines, ideas and future scopes. Edited by leading experts in these arenas, the book will be of great interest to academic researchers, graduate students and industry professionals in the fields of machine learning, deep learning, AI, sensing, computer vision and sensors.

Table of contents

• Cover
• Half-Title Page
• Series Page
• Title Page
• Copyright Page
• Table of Contents
• Foreword
• Preface
• About the Editors
• List of Contributors
• Chapter 1 A Tri-modal Fusion Network for Object Detection Using Small Amounts of Low-Quality Data
• Chapter 2 Arabic Music Classification and Generation using Deep Learning
• Chapter 3 An Experimental Study on Speech Emotion Recognition for Bangla Language
• Chapter 4 Performance Evaluation of Multi-class Bangla Public Sentiment Analysis Using Machine Learning and Embedding Techniques
• Chapter 5 Cross-Lingual Transfer Learning for Arabic Signature Verification: Dataset and Baseline Evaluation
• Chapter 6 Empowering Bengali Language in Drone Control with Artificial Neural Networks
• Chapter 7 Survival Analysis and Therapeutic Drug Targets Identification for Head and Neck Cancer and Chronic Lymphocytic Leukemia Cancer
• Chapter 8 Intracranial Hemorrhage Segmentation and Application of Interpretable Transfer Learning using Grad-CAM for Classification in Computed Tomography Images
• Chapter 9 Cervical Cancer Detection Using Multi-Branch Deep Learning Model
• Chapter 10 An Improved Framework for Classification of Skin Cancer Lesions using Transfer Learning
• Chapter 11 An Ensemble Learning Classifier to Predict Net Electricity Generation from Nuclear Power Plants
• Chapter 12 Deep Learning Optimizers: A Sustainability Perspective on Energy and Emissions
• Chapter 13 Exploration of Hyperledger Besu in Designing Private Blockchain-based Financial Distribution Systems
• Chapter 14 BlockCampus: A Blockchain-Based DApp for Enhancing Student Engagement and Reward Mechanisms in an Academic Community for E-JUST University
• Chapter 15 A Crop Recommendation System With a Transformer-Based Deep Learning Model
• Index