Rashmi Priyadarshini – författare

Artificial Intelligence: Applications and Innovations is a book about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. This book provides a valuable resource for researchers, scientists, professionals, academicians and students dealing with the new challenges and advances in the areas of AI and innovations. This book also covers a wide range of applications of machine learning such as fire detection, structural health and pollution monitoring and control.

Key Features

Provides insight into prospective research and application areas related to industry and technology Discusses industry- based inputs on success stories of technology adoption Discusses technology applications from a research perspective in the field of AI Provides a hands- on approach and case studies for readers of the book to practice and assimilate learning

This book is primarily aimed at graduates and post- graduates in computer science, information technology, civil engineering, electronics and electrical engineering and management.

Artificial Intelligence: Applications and Innovations is a book about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. This book provides a valuable resource for researchers, scientists, professionals, academicians and students dealing with the new challenges and advances in the areas of AI and innovations. This book also covers a wide range of applications of machine learning such as fire detection, structural health and pollution monitoring and control.

Key Features

Provides insight into prospective research and application areas related to industry and technology Discusses industry- based inputs on success stories of technology adoption Discusses technology applications from a research perspective in the field of AI Provides a hands- on approach and case studies for readers of the book to practice and assimilate learning

This book is primarily aimed at graduates and post- graduates in computer science, information technology, civil engineering, electronics and electrical engineering and management.

Artificial Intelligence: Applications and Innovations is a book about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. This book provides a valuable resource for researchers, scientists, professionals, academicians and students dealing with the new challenges and advances in the areas of AI and innovations. This book also covers a wide range of applications of machine learning such as fire detection, structural health and pollution monitoring and control. Key FeaturesProvides insight into prospective research and application areas related to industry and technologyDiscusses industry- based inputs on success stories of technology adoptionDiscusses technology applications from a research perspective in the field of AIProvides a hands- on approach and case studies for readers of the book to practice and assimilate learningThis book is primarily aimed at graduates and post- graduates in computer science, information technology, civil engineering, electronics and electrical engineering and management.

Artificial Intelligence: Applications and Innovations is a book about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. This book provides a valuable resource for researchers, scientists, professionals, academicians and students dealing with the new challenges and advances in the areas of AI and innovations. This book also covers a wide range of applications of machine learning such as fire detection, structural health and pollution monitoring and control. Key FeaturesProvides insight into prospective research and application areas related to industry and technologyDiscusses industry- based inputs on success stories of technology adoptionDiscusses technology applications from a research perspective in the field of AIProvides a hands- on approach and case studies for readers of the book to practice and assimilate learningThis book is primarily aimed at graduates and post- graduates in computer science, information technology, civil engineering, electronics and electrical engineering and management.

The text discusses fundamental, advanced concepts and applications of robotics and autonomous systems. It further discusses important topics, such as robotics techniques in the manufacturing sector, applications of smart autonomous systems in the healthcare sector, resource optimization in mobile robotics, and smart autonomous transport systems.FeaturesCovers design and application aspects of robotic systems for implementing the concepts of smart manufacturing with reduced human intervention, better accuracy, and enhanced production capacityDiscusses techniques including supervised learning, unsupervised learning, and reinforced learning with real-life examplesHighlights a unified intermodal approach for automated transportation including cars, trucks, ships, and port managementExplains the mechanical design of planetary rovers, and the mechanical design of space manipulators, actuators, and sensorsPresents programming tools and platforms for autonomous robotic systemsThe book is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer science and engineering, and automotive engineering.

The text discusses fundamental, advanced concepts and applications of robotics and autonomous systems. It further discusses important topics, such as robotics techniques in the manufacturing sector, applications of smart autonomous systems in the healthcare sector, resource optimization in mobile robotics, and smart autonomous transport systems.FeaturesCovers design and application aspects of robotic systems for implementing the concepts of smart manufacturing with reduced human intervention, better accuracy, and enhanced production capacityDiscusses techniques including supervised learning, unsupervised learning, and reinforced learning with real-life examplesHighlights a unified intermodal approach for automated transportation including cars, trucks, ships, and port managementExplains the mechanical design of planetary rovers, and the mechanical design of space manipulators, actuators, and sensorsPresents programming tools and platforms for autonomous robotic systemsThe book is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer science and engineering, and automotive engineering.

The text discusses fundamental, advanced concepts and applications of robotics and autonomous systems. It further discusses important topics, such as robotics techniques in the manufacturing sector, applications of smart autonomous systems in the healthcare sector, resource optimization in mobile robotics, and smart autonomous transport systems.

Features

Covers design and application aspects of robotic systems for implementing the concepts of smart manufacturing with reduced human intervention, better accuracy, and enhanced production capacity Discusses techniques including supervised learning, unsupervised learning, and reinforced learning with real-life examples Highlights a unified intermodal approach for automated transportation including cars, trucks, ships, and port management Explains the mechanical design of planetary rovers, and the mechanical design of space manipulators, actuators, and sensors Presents programming tools and platforms for autonomous robotic systems

The book is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer science and engineering, and automotive engineering.

The text discusses fundamental, advanced concepts and applications of robotics and autonomous systems. It further discusses important topics, such as robotics techniques in the manufacturing sector, applications of smart autonomous systems in the healthcare sector, resource optimization in mobile robotics, and smart autonomous transport systems.

Features

Covers design and application aspects of robotic systems for implementing the concepts of smart manufacturing with reduced human intervention, better accuracy, and enhanced production capacity Discusses techniques including supervised learning, unsupervised learning, and reinforced learning with real-life examples Highlights a unified intermodal approach for automated transportation including cars, trucks, ships, and port management Explains the mechanical design of planetary rovers, and the mechanical design of space manipulators, actuators, and sensors Presents programming tools and platforms for autonomous robotic systems

The book is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer science and engineering, and automotive engineering.