Artificial Intelligence Applied to Target Tracking, Phase II

Artificial Intelligence Applied to Target Tracking, Phase II
Author: Tarun Bhattacharya
Publisher:
Total Pages:
Release: 1995
Genre:
ISBN:

Describes the implementation of a multiple target tracker for marine vessels which incorporates radar, geographic, and vessel-specific information along with artificial intelligence techniques for resolving potential tracking errors. Features include: a multiple hypothesis tracking subsystem that maintains up to a user-specified number of tracking hypotheses at once, thus avoiding mis-associations and loss of track; a geographic information system subsystem, incorporating channel and vessel routing knowledge to main track as targets turn from one channel to the next; and a dynamic transmit model which implements an expert system that predicts how vessels will manoeuvre as they move through channels, along ferry routes, or into close proximity with each other. Sections of the document cover system functional descriptions, software requirements, development environment, software design, and test results using real radar data and simulations. Appendices include software documentation and specifications.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 0128184396

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data