Results 21 to 30 of about 6,048,895 (335)

Dynamic Community Detection Based on Evolutionary DeepWalk

open access: yesApplied Sciences, 2022
To fully characterize the evolution process of the topological structure of dynamic communities, we propose a dynamic community detection based on Evolutionary DeepWalk (DEDW) for the high-dimensional data and dynamic characteristics.
Song Qu   +6 more
doaj   +1 more source

Design of a Low-Power Embedded System Based on a SoC-FPGA and the Honeybee Search Algorithm for Real-Time Video Tracking

open access: yesSensors, 2022
Video tracking involves detecting previously designated objects of interest within a sequence of image frames. It can be applied in robotics, unmanned vehicles, and automation, among other fields of interest.
Carlos Soubervielle-Montalvo   +7 more
doaj   +1 more source

Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms

open access: yesInternational Journal of Computer Science in Sport, 2022
This review explores the avenues for the application of meta-heuristics in sports. The necessity of sophisticated algorithms to investigate different NP hard problems encountered in sports analytics was established in the recent past.
Ariyaratne M.K.A., Silva R.M.
doaj   +1 more source

A Novel ECG Noise Reduction Technique Employing the Chaotic Adaptive Fish Migration Optimization Algorithm

open access: yesIEEE Access, 2023
Optimization problems are ubiquitous, and obtaining ideal solutions to optimization problems is a challenging task. In terms of denoising the electrocardiogram (ECG) signal, the weight parameters of the adaptive filtering algorithm determine the quality ...
Qing-Wei Chai   +3 more
doaj   +1 more source

Single- versus Multiobjective Optimization for Evolution of Neural Controllers in Ms. Pac-Man

open access: yesInternational Journal of Computer Games Technology, 2013
The objective of this study is to focus on the automatic generation of game artificial intelligence (AI) controllers for Ms. Pac-Man agent by using artificial neural network (ANN) and multiobjective artificial evolution.
Tse Guan Tan, Jason Teo, Kim On Chin
doaj   +1 more source

Artificial Intelligence, Accelerated in Parallel Computing and Applied to Nonintrusive Appliance Load Monitoring for Residential Demand-Side Management in a Smart Grid: A Comparative Study

open access: yesApplied Sciences, 2020
A smart grid is a promising use-case of AIoT (AI (artificial intelligence) across IoT (internet of things)) that enables bidirectional communication among utilities that arises with demand response (DR) schemes for demand-side management (DSM) and ...
Yu-Chen Hu, Yu-Hsiu Lin, Chi-Hung Lin
doaj   +1 more source

Speeding up Smartphone-Based Dew Computing: In Vivo Experiments Setup Via an Evolutionary Algorithm

open access: yesSensors, 2023
Dew computing aims to minimize the dependency on remote clouds by exploiting nearby nodes for solving non-trivial computational tasks, e.g., AI inferences.
Virginia Yannibelli   +5 more
doaj   +1 more source

Epigenetic opportunities for evolutionary computation [PDF]

open access: yesRoyal Society Open Science, 2023
Evolutionary computation is a group of biologically inspired algorithms used to solve complex optimization problems. It can be split into evolutionary algorithms, which take inspiration from genetic inheritance, and swarm intelligence algorithms, that take inspiration from cultural inheritance.
Sizhe Yuen   +2 more
openaire   +5 more sources

Risk Identification, Assessments, and Prediction for Mega Construction Projects: A Risk Prediction Paradigm Based on Cross Analytical-Machine Learning Model

open access: yesBuildings, 2021
Risk identification and management are the two most important parts of construction project management. Better risk management can help in determining the future consequences, but identifying possible risk factors has a direct and indirect impact on the ...
Debalina Banerjee Chattapadhyay   +2 more
doaj   +1 more source

Efficient Novelty Search Through Deep Reinforcement Learning

open access: yesIEEE Access, 2020
Novelty search, which was inspired by the nature that evolves creatures with diversity, has shown great potential in solving reinforcement learning (RL) tasks with sparse and deceptive rewards.
Longxiang Shi   +4 more
doaj   +1 more source

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