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Applied Machine Learning on Sensing Technologies: (Ubiquitous Computing, Healthcare and Well-being)

Applied Machine Learning on Sensing Technologies: (Ubiquitous Computing, Healthcare and Well-being)

          
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About the Book

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:
Chapter 1 A Tri-modal Fusion Network for Object Detection Using Small Amounts of Low-Quality Data Yusuke Watanabe, Yuma Yoshimoto and Hakaru Tamukoh Chapter 2 Arabic Music Classification and Generation using Deep Learning Mohamed Elshaarawy, Ashrakat Saeed, Mariam Sheta, Abdelrahman Said, Asem Bakr, Omar Bahaa and Walid Gomaa Chapter 3 An Experimental Study on Speech Emotion Recognition for Bangla Language Md. Mehedi Hasan, Sarker Tanveer Ahmed Rumee and Moinul Islam Zaber Chapter 4 Performance Evaluation of Multi-class Bangla Public Sentiment Analysis Using Machine Learning and Embedding Techniques Md Tazimul Hoque, Syed Tangim Pasha, Rubaiya Khanam, Ashraful Islam, Md Zahangir Alam and Mohammad Nurul Huda Chapter 5 Cross-Lingual Transfer Learning for Arabic Signature Verification: Dataset and Baseline Evaluation Tameem Bakr, Ahmed Abdullatif, Kareem Elzeky, Mohamed Elsayed and Rami Zewail Chapter 6 Empowering Bengali Language in Drone Control with Artificial Neural Networks Sajjad Hossain Talukder, Noortaz Rezoana, Tanjim Mahmud, Nanziba Basnin, Shourav Chowdhury , Mohammad Shahadat Hossain and Karl Andersson Chapter 7 Survival Analysis and Therapeutic Drug Targets Identification for Head and Neck Cancer and Chronic Lymphocytic Leukemia Cancer Md. Anayt Rabbi, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akter, Selina Sharmin Chapter 8 Intracranial Hemorrhage Segmentation and Application of Interpretable Transfer Learning using Grad-CAM for Classification in Computed Tomography Images Tazqia Mehrub and Mosabber Uddin Ahmed Chapter 9 Cervical Cancer Detection Using Multi-Branch Deep Learning Model Tatsuhiro Baba, Abu Saleh Musa Miah, Jungpil Shin, Md. Al Mehedi Hasan Chapter 10 An Improved Framework for Classification of Skin Cancer Lesions using Transfer Learning Tanjim Mahmud, Koushick Barua, Anik Barua, Sudhakar Das, Rishita Chakma, Nanziba Basnin, Nahed Sharmen, Mohammad Shahadat Hossain and Karl Andersson Chapter 11 An Ensemble Learning Classifier to Predict Net Electricity Generation from Nuclear Power Plants Mushfiqur Rashid Khan, Faiyaz Fahim, Nahid Hasan, Md. Parveg Plaban Chapter 12 Deep Learning Optimizers: A Sustainability Perspective on Energy and Emissions Md Asif Mahmod Tusher Siddique, Md Sakibul Islam, Dr. Ah-Lian Kor, Rashedul Kabir, Nusrath Jahan Happy Chapter 13 Exploration of Hyperledger Besu in Designing Private Blockchain-based Financial Distribution Systems Md. Raisul Hasan Shahrukha, Md. Tabassinur Rahmanb and Nafees Mansoorc Chapter 14 BlockCampus: A Blockchain-Based DApp for Enhancing Student Engagement and Reward Mechanisms in an Academic Community for E-JUST University Mariam Ayman, Youssef El-harty, Ahmed Rashed, Ahmed Fathy, Ahmed Abdullah, Omar Wassim, Walid Gomaa Chapter 15 A Crop Recommendation System With a Transformer-Based Deep Learning Model Md. Nabil Sadd Sammo, Humaira Anzum, Shamim Akhter


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Product Details
  • ISBN-13: 9781032766423
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Height: 234 mm
  • No of Pages: 216
  • Width: 156 mm
  • ISBN-10: 1032766425
  • Publisher Date: 27 Oct 2025
  • Binding: Hardback
  • Language: English
  • Series Title: Ubiquitous Computing, Healthcare and Well-being


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