Artificial Intelligence Algorithms And Applications
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Artificial Intelligence Algorithms and Applications
This book constitutes the thoroughly refereed proceedings of the 11th International Symposium on Intelligence Computation and Applications, ISICA 2019, held in Guangzhou, China, in November 2019. The 65 papers presented were carefully reviewed and selected from the total of 112 submissions. This volume features the most up-to-date research in evolutionary algorithms, parallel computing and quantum computing, evolutionary multi-objective and dynamic optimization, intelligent multimedia systems, virtualization and AI applications, smart scheduling, intelligent control, big data and cloud computing, deep learning, and hybrid machine learning systems.The papers are organized according to the following topical sections: new frontier in evolutionary algorithms; evolutionary multi-objective and dynamic optimization; intelligent multimedia systems; virtualization and AI applications; smart scheduling; intelligent control; big data and cloud computing; statistical learning.
Artificial Intelligence
Author: ANSHUMAN. MISHRA
language: en
Publisher: Independently Published
Release Date: 2025
"Artificial Intelligence: Algorithms and Applications Unveiled" is an essential guide to understanding the vast and rapidly evolving field of Artificial Intelligence (AI). This book provides both newcomers and experienced professionals with a comprehensive, clear, and detailed exploration of the core algorithms and applications that power modern AI technologies. With the world becoming increasingly intertwined with intelligent systems, this book addresses the fundamental principles behind AI, its transformative capabilities, and how these algorithms can be applied to real-world challenges across various industries. The book is divided into carefully structured chapters that cover a wide range of AI topics-from the foundational concepts of machine learning, neural networks, and natural language processing, to cutting-edge applications in areas such as healthcare, finance, robotics, and ethics. Each chapter includes detailed explanations of the algorithms, techniques, and mathematical concepts that form the backbone of AI systems, ensuring readers gain a deep understanding of how these algorithms work and how they can be applied effectively. In addition to the technical discussions, the book delves into the social, ethical, and regulatory considerations surrounding the development of AI technologies. As AI continues to impact every facet of society, understanding its broader implications is critical for students, researchers, practitioners, and decision-makers alike. Key Features: Clear explanations of complex AI algorithms, making them accessible to readers with varying technical backgrounds. In-depth coverage of real-world AI applications in fields such as healthcare, business, finance, autonomous systems, and robotics. A focus on the ethical and societal challenges of AI, including bias, fairness, privacy, and the future of AI governance. Practical insights into the tools, frameworks, and techniques used by AI professionals to develop and deploy intelligent systems. A structured learning path, from fundamental concepts to advanced applications, with practical examples, case studies, and exercises to solidify understanding. Whether you are a student aiming to explore the world of AI, a developer looking to implement AI algorithms, or an industry professional wanting to understand AI's impact on your field, this book provides the knowledge and guidance you need to harness the power of Artificial Intelligence.
Artificial Intelligence and Machine Learning Algorithms for Engineering Applications
This book comprehensively covers core algorithms and techniques used in artificial intelligence (AI) and machine learning (ML) for engineering applications. It further explores the use of AI in civil and structural engineering, quality control, and product design. Features: Presents autonomous robots using onboard computing and artificial intelligence (AI) algorithms to process the data from their sensors and make real-time decisions. Discusses nature-based optimization-based computing techniques to enhance the computational speed for solving engineering problems. Provides conceptual and practical knowledge about the design of modern computation techniques with advanced tools and methodologies. Highlights the importance of using smart techniques including AI and ML in product design and development. Covers time series analysis and forecasting in engineering, robotic process automation, and autonomous robots in manufacturing. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, manufacturing engineering, and environmental engineering.