Reset
Showing 8 of 188 academic articles

Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492

Artificial Intelligence with Uncertainty

Deyi Li, Yi Du • Chapman & Hall/CRC eBooks (2007)

The information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work. We must constantly separate trustworthy and required information from the massive amount of data we encounter ...

OPENALEX DOI: https://doi.org/10.1201/9781584889991

REVIEW OF THEORETICAL APPROACHES TO USING OF ARTIFICIAL INTELLIGENCE FOR PLANNING PROBLEMS IN ECONOMICS

Gocha Ugulava • ეკონომიკური პროფილი (2022)

Artificial intelligence methods and technologies are increasingly included in human's everyday life. Managing actors in the context of their activities, from the planning stage to the decision-making stage, are faced with the need to operat...

DOAJ Open Access (DOAJ) DOI: 10.52244/ep.2021.22.11

Artificial intelligence: a modern approach

Dr. Anil Kumar, Sivasubramanian Balasubramanian, Dr. Haewon Byeon, Prof. Ganesh Vasudeo Manerkar • Choice Reviews Online (1995)

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Search...

OPENALEX Open Access DOI: https://doi.org/10.5860/choice.33-1577

Introduction to artificial intelligence

• Choice Reviews Online (2011)

This book is an introduction on artificial intelligence. Topics include reasoning under uncertainty, robot plans, language understanding, and learning. The history of the field as well as intellectual ties to related disciplines are present...

OPENALEX DOI: https://doi.org/10.5860/choice.49-0903

Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks

Tong Liu, Xueping Gu, Shaoyan Li, Yansong Bai et al. • IET Renewable Power Generation (2023)

Abstract The existing static voltage stability margin evaluation methods cannot meet the actual demand of current power grid well in terms of calculation speed and accuracy. Thus, this paper proposes a static voltage stability margin predic...

DOAJ Open Access (DOAJ) DOI: 10.1049/rpg2.12731