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Full Description
This book focuses on applying intelligent computing techniques for sustainable development in precision agriculture, digital healthcare, renewable energy, smart cities, and autonomous systems. These areas are highly relevant in the current context, particularly for achieving sustainable development goals such as zero hunger, good health and well-being, and industry innovation and infrastructure.
It bridges the gap between artificial intelligence and sustainable solutions, providing readers with cutting-edge research and practical applications aimed at addressing environmental challenges. By highlighting real-world case studies, the book demonstrates how intelligent systems can drive transformation to meet global sustainability goals. Through its interdisciplinary approach, it encourages collaboration across sectors to create sustainable solutions.
It will serve as an invaluable resource for academicians, scientists, researchers, and industry experts worldwide, delving into research and development in the agriculture, healthcare, automation, and energy sectors.
Contents
1. Digital technologies for improving agricultural productivity.- 2. Analysis of Tomato Leaf Disease Using Deep Learning.- 3. An Improved Detection of Fetal Heart Disease Using Multilayer Perceptron.- 4. Alzheimer's Disease Detection Using Convolution Neural Networks.- 5. Intelligent Computing Techniques for Sustainable Cybersecurity.- 6. Cloud Based Attendance Management System Using Face Recognition.- 7. Architecture to Accurately Predict Housing Price for Smart Cities.
