Abstract: In this study, an automatic parameter extraction algorithm using particle swarm optimization (PSO) is introduced to model organic light-emitting diode (OLED). It is demonstrated both DC and ...

Introduction: This study presents a modified version of Particle Swarm Optimization (PSO) using an all-optical computational update mechanism. The primary innovation and objective of this ...

A next-generation technology developed in 2023, conversational swarm intelligence (CSI), combines the principles of ASI with the power of large language models. Humans are not the only species that ...

This After Effects tutorial shows how to create a dynamic particle explosion effect for music videos and visual edits. Learn how to use particles, motion, and compositing techniques to add high-impact ...

Learn how to create a stunning glowing particle 3D floating logo intro using Adobe After Effects. This step-by-step tutorial will help you design dynamic and eye-catching logo animations perfect for ...

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary ...

Currently OptimizationManopt is significantly under-documented and isn't really showcased. There should be something that is bumped up to being a tutorial, i.e. an ...

Abstract: The reversible residual neural network (RRNN) model is a bidirectional neural network model, which has recently gained attention in the design of various control methods in turntable servo ...

This study develops a particle swarm optimization (PSO)-based assessment system for evaluating upper extremity and shoulder joint muscle strength with potential application to stroke rehabilitation.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...