Applied Machine Learning on Sensing Technologies by Ahad, Md Atiqur Rahman; Nijholt, Anton; Kamal, Md Abdus Samad;

Rövid leírás:

The book will be related to applied machine learning and deep learning in the field of sensing, vision and sensor-based applications.

Hosszú leírás:

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.

"This book highlights the cutting-edge research that bridges theoretical advancements with impactful real-world applications. Edited by a highly accomplished team, they have together ensured a well-rounded and visionary exploration of this evolving field. A defining strength of this volume lies in its focus on methodological advancements. Chapters explore cutting-edge techniques, showcasing their practical utility in diverse domains. By applying these advanced methodologies to real-world problems, the book offers readers a clear understanding of both current trends and future opportunities in the field. This volume offers a comprehensive and forward-looking perspective on the integration of machine learning with sensing technologies. It will undoubtedly inspire researchers and practitioners to push the boundaries of what is possible, transforming these innovations into solutions that shape the future."

--Professor Philip H. S. Torr, University of Oxford, UK

Tartalomjegyzék:

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, and 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, and 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, and 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, and Shamim Akhter