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Artificial Intelligence (AI) Based Projects Designs and Implementations
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Artificial Intelligence (AI) Based Projects: Designs and Implementations present a collection of practical AI applications designed to address real-world challenges across multiple domains. This book highlights innovative projects that integrate artificial intelligence with technologies such as the Internet of Things (IoT), machine learning, image processing and optimization algorithms. The book includes an AI-powered smart waste sorting system for efficient recycling, an IoT-based smart farming platform for monitoring and predicting environmental conditions, and an intelligent irrigation system implemented in a Malaysian durian orchard that significantly reduces water usage. The book also explores digital image forgery detection using deep learning, active learning techniques for underwater image classification and a CNN-based handwritten character recognition system. Additional chapters focus on mango leaf disease detection using Support Vector Machines and a nature-inspired optimization algorithm for improving software testing efficiency. Overall, the book demonstrates how AI-driven solutions can enhance sustainability, productivity and technological innovation in real-world applications.
Penerbit Universiti Malaysia Perlis
Title: Artificial Intelligence (AI) Based Projects Designs and Implementations
Description:
Artificial Intelligence (AI) Based Projects: Designs and Implementations present a collection of practical AI applications designed to address real-world challenges across multiple domains.
This book highlights innovative projects that integrate artificial intelligence with technologies such as the Internet of Things (IoT), machine learning, image processing and optimization algorithms.
The book includes an AI-powered smart waste sorting system for efficient recycling, an IoT-based smart farming platform for monitoring and predicting environmental conditions, and an intelligent irrigation system implemented in a Malaysian durian orchard that significantly reduces water usage.
The book also explores digital image forgery detection using deep learning, active learning techniques for underwater image classification and a CNN-based handwritten character recognition system.
Additional chapters focus on mango leaf disease detection using Support Vector Machines and a nature-inspired optimization algorithm for improving software testing efficiency.
Overall, the book demonstrates how AI-driven solutions can enhance sustainability, productivity and technological innovation in real-world applications.
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