Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
NEW YORK, NY / ACCESS Newswire / January 21, 2026 / With the recent Antitrust Judgment against legacy revenue management and the unlimited liability facing multifamily operators, it is not surprising ...
AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...
Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...
ABSTRACT: This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are ...
ABSTRACT: This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are ...
Manufacturing leaders can’t navigate today’s technological landscape without encountering artificial intelligence at every turn. From medical devices to aerospace systems, AI features are being ...
Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.
1 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia 2 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia Humanitarian aid ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results