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Algorithms are ubiquitous in medicine. They can take the form of a flowchart, a simple equation, or a complicated AI model, and are used to help clinicians diagnose diseases, predict the chances of ...
To address the issues of insufficient control parameter identification accuracy and convergence speed during the grid connection of distributed power sources, a control parameter identification method ...
Abstract: In this study, comprehensive approximate Bayesian computation (ABC) technique is explored, and develop for an innovative model. We practically demonstrate approximate Bayesian computation ...
Application Research of an Intelligent Detection Algorithm for Vehicle Trajectory Route Deviation ()
1 iTerm R & D Centre, Zhong Ke MeiLuo Technology Co., Ltd., Heifei, China. 2 Department of Army Armament, Nanjing Military Representative Bureau, Nanjing, China. 3 Institute of Technology Innovation, ...
Abstract: Based on dimensional memory mechanism and adaptive elite population, this paper proposes a satisfactory and efficient artificial bee colony algorithm (DMABC_elite) to solve optimization ...
In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.
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