Intelligent System Algorithms and Applications in Science and Technology

The volume covers a range of topics in intelligent systems, including healthcare, AI, IoT, data analytics, network systems, and process control.

Format: Hardback
Length: 398 pages
Publication date: 03 February 2022
Publisher: Apple Academic Press Inc.

The book delves into a wide range of diverse topics, encompassing various areas such as:

Machine learning-based intelligent systems for healthcare applications: This section explores the use of machine learning algorithms and techniques to develop intelligent systems that can assist healthcare professionals in diagnosis, treatment, and patient management. It discusses the development of predictive models, decision-making algorithms, and automated systems that can improve the efficiency and accuracy of healthcare delivery.

Applications of artificial intelligence: This section examines the various applications of artificial intelligence in different industries and sectors. It covers topics such as natural language processing, computer vision, robotics, and machine learning. It discusses how AI can be used to automate processes, improve decision-making, and enhance customer experiences.

The Internet of Things (IoT): This section explores the concept of IoT and its potential applications in various fields. It discusses the development of smart devices, sensors, and networks that can connect and communicate with each other, enabling the automation of processes and the collection of data for analysis.

Intelligent data analytics techniques: This section discusses the use of advanced data analytics techniques such as big data processing, data mining, and machine learning to extract valuable insights from large datasets. It covers topics such as data visualization, pattern recognition, and predictive modeling.

Intelligent network systems and applications: This section explores the development of intelligent network systems that can optimize network performance, manage traffic, and enhance communication between devices. It discusses the use of technologies such as network virtualization, software-defined networking, and network slicing.

Inequalities and process control systems: This section examines the issues of inequalities and their impact on various systems, including healthcare, education, and transportation. It discusses the development of algorithms and techniques to address these inequalities and improve the overall performance of these systems.

The book provides a comprehensive overview of the latest developments in these areas and offers insights into the potential applications and implications of these technologies. It is written in a clear and accessible style, making it suitable for both professionals and students interested in the field of intelligent systems and technology.

The book delves into a wide range of diverse topics, encompassing various areas such as:

Machine learning-based intelligent systems for healthcare applications: This section explores the use of machine learning algorithms and techniques to develop intelligent systems that can assist healthcare professionals in diagnosis, treatment, and patient management. It discusses the development of predictive models, decision-making algorithms, and automated systems that can improve the efficiency and accuracy of healthcare delivery.

Applications of artificial intelligence: This section examines the various applications of artificial intelligence in different industries and sectors. It covers topics such as natural language processing, computer vision, robotics, and machine learning. It discusses how AI can be used to automate processes, improve decision-making, and enhance customer experiences.

The Internet of Things (IoT): This section explores the concept of IoT and its potential applications in various fields. It discusses the development of smart devices, sensors, and networks that can connect and communicate with each other, enabling the automation of processes and the collection of data for analysis.

Intelligent data analytics techniques: This section discusses the use of advanced data analytics techniques such as big data processing, data mining, and machine learning to extract valuable insights from large datasets. It covers topics such as data visualization, pattern recognition, and predictive modeling.

Intelligent network systems and applications: This section explores the development of intelligent network systems that can optimize network performance, manage traffic, and enhance communication between devices. It discusses the use of technologies such as network virtualization, software-defined networking, and network slicing.

Inequalities and process control systems: This section examines the issues of inequalities and their impact on various systems, including healthcare, education, and transportation. It discusses the development of algorithms and techniques to address these inequalities and improve the overall performance of these systems.

The book provides a comprehensive overview of the latest developments in these areas and offers insights into the potential applications and implications of these technologies. It is written in a clear and accessible style, making it suitable for both professionals and students interested in the field of intelligent systems and technology.

Weight: 948g
Dimension: 234 x 156 (mm)
ISBN-13: 9781774630211