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EM-Psychiatry: An Ambient Intelligent System for Psychiatric Emergency
Published 2016“…A modified Viterbi, a machine-learning algorithm, is used to generate the most probable psychiatric state sequence based on such observations; then, from the most likely psychiatric state sequence, the emergency psychiatric state is predicted through the proposed algorithm. …”
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Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review
Published 2025“…EMS strategies; AI-based algorithms categories, functions and hybridization; the state-of-art and future direction of AI-based algorithms and HFCEVs? …”
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Stereo matching algorithm based on deep learning: a survey
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Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)
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Expectation maximization clustering algorithm for user modeling in web usage mining system
Published 2009“…In this study we advance a model for mining of user’s navigation pattern. The model is based on expectation-maximization (EM) algorithm and it is used for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. …”
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Optimization of wind energy conversion systems � an artificial intelligent approach
Published 2023Article -
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Energy Management System For Three-Wheel Light Electric Vehicle Using Multi-Sources Energy Models
Published 2016“…A rule-based control algorithm which contains eight states in EMS is designed to control power switches and to ensure sufficient energy is delivered to the load. …”
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New Energy Management System Based on Intelligent Digital Power Monitoring
Published 2009“…This paper introduces a new Energy Management System (EMS) based on intelligent digital power monitoring. …”
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Employing Artificial Intelligence to Minimize Internet Fraud
Published 2009“…Today, pre-empting or preventing fraud before it happens occurs in the manual, non-computer based business transactions because of the natural intelligence of both seller and buyer. …”
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Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning
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A Hybrid Soft Computing Framework for Electrical Energy Optimization
Published 2021“…The scarcity of these resources demands a highly efficient and robust energy management system (EMS). In the recent literature, many artificial intelligence algorithms have been proposed to cater to the need for efficient and real-time decision-making. …”
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Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid
Published 2013“…At first, in producing a good optimization algorithm, a hybridization technique was proposed for adopting the finest features of two different algorithms; namely the Genetic Algorithm (GA) and continuous domain Ant Colony Optimization (ACOr). …”
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DNA sequence design for direct-proportional length-based DNA computing: Particle swarm optimization vs population based ant colony optimization
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