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

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  • 予約

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

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  • 製本 Hardcover:ハードカバー版/ページ数 216 p.
  • 言語 ENG
  • 商品コード 9781032766423

Full Description

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.

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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