Results 21 to 30 of about 6,048,895 (335)
Dynamic Community Detection Based on Evolutionary DeepWalk
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
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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
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Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms
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.
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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
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Single- versus Multiobjective Optimization for Evolution of Neural Controllers in Ms. Pac-Man
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
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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
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Speeding up Smartphone-Based Dew Computing: In Vivo Experiments Setup Via an Evolutionary Algorithm
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
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Epigenetic opportunities for evolutionary computation [PDF]
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
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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
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Efficient Novelty Search Through Deep Reinforcement Learning
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
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