Artificial Intelligence And Knowledge Processing Methods And Applications


Download Artificial Intelligence And Knowledge Processing Methods And Applications PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence And Knowledge Processing Methods And Applications book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Artificial Intelligence and Knowledge Processing: Methods and Applications


Artificial Intelligence and Knowledge Processing: Methods and Applications

Author: Hemachandran K.

language: en

Publisher: Bentham Science Publishers

Release Date: 2023-11-24


DOWNLOAD





Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and machine learning to create knowledge, and facilitate different processes. The book starts by illuminating how AI is employed in robotics, IoT, marketing, and operations. It showcases how AI extracts insights from big data, optimizes museum management, and empowers automated garden path planning using reinforcement learning. The book also explores how AI can be used to predict heart disease using artificial neural networks. Furthermore, the book underscores how AI predicts crop suitability, manages crop systems, and can even help to detect violence in using computer vision. Chapters highlight specific techniques or systems such as recommendation systems and reinforcement learning where appropriate. Key Features: · Showcases a wide range of AI applications · Bridges theory and practice with real-word insights · Uses accessible language to explain complex AI concepts · Includes references for advanced readers This book is intended as a guide for a broad range of readers who want to learn about AI applications and the profound influence it has on our lives.

Artificial Intelligence and Knowledge Processing


Artificial Intelligence and Knowledge Processing

Author: Raul V Rodriguez

language: en

Publisher: Bentham Science Publishers

Release Date: 2023-11-24


DOWNLOAD





Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and machine learning to create knowledge, and facilitate different processes. The book starts by illuminating how AI is employed in robotics, IoT, marketing, and operations. It showcases how AI extracts insights from big data, optimizes museum management, and empowers automated garden path planning using reinforcement learning. The book also explores how AI can be used to predict heart disease using artificial neural networks. Furthermore, the book underscores how AI predicts crop suitability, manages crop systems, and can even help to detect violence in using computer vision. Chapters highlight specific techniques or systems such as recommendation systems and reinforcement learning where appropriate. Key Features: - Showcases a wide range of AI applications - Bridges theory and practice with real-word insights - Uses accessible language to explain complex AI concepts - Includes references for advanced readers This book is intended as a guide for a broad range of readers who want to learn about AI applications and the profound influence it has on our lives.

Artificial Intelligence and Knowledge Processing


Artificial Intelligence and Knowledge Processing

Author: Hemachandran K

language: en

Publisher: Springer Nature

Release Date: 2024-08-19


DOWNLOAD





This book constitutes the Revised Selected Papers of the Third International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2023, held in Hyderabad, India, during October 6–8, 2023. The 20 full papers and 8 short papers were carefully selected from 118 submissions. The research areas include: Artificial Intelligence and Machine Learning; Deep Learning and Computer Vision; Natural Language Processing; Intelligent Control.