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EM-Psychiatry: An Ambient Intelligent System for Psychiatric Emergency
Published 2016“…In this paper, an ambient intelligent system of in-home psychiatric care service for emergency psychiatry (EM-psychiatry) is proposed for the remote monitoring of psychiatric emergency patients. …”
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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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Expectation maximization clustering algorithm for user modeling in web usage mining system
Published 2009“…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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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“…Currently, even with advances in computing techniques, near human levels of intelligence is not the strength of any computing system, yet techniques are available which may reduce the occurrences of fraud, and are usually referred to as artificial intelligence systems. …”
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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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Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)
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A Hybrid Soft Computing Framework for Electrical Energy Optimization
Published 2021“…In this paper, a hybrid soft-computing-based framework has been proposed for intelligent energy management and optimization. …”
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Optimization of wind energy conversion systems � an artificial intelligent approach
Published 2023Article -
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Farmland fertility optimization for designing of interconnected multi-machine power system stabilizer
Published 2020“…This study describes the process of interconnected multi-machine power system stabilizer (PSS) optimization using a new intelligent technique called farmland fertility algorithm (FFA) to increase the stability of IEEE three machine nine bus power system and offset the low-frequency oscillations (LFOs) during a symmetrical 100 ms three-phase fault at bus 9. …”
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A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification
Published 2006“…The comparison made showed that LM learning algortihm is a faster training algorithm compared to BR training algorithm meanwhile BR learning algorithm capable of building a superior intelligent system in term of the overall system performance.…”
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Intelligent energy systems using the barnacles mating optimizer and evolutionary mating algorithm: Foundations, methods, and applications
Published 2026“…Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. …”
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Intelligent examination timetabling system using hybrid intelligent water drops algorithm
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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Healthy Lifestyle Management System
Published 2011“…The intelligent algorithm that used in this application is Rule-Based algorithm. …”
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A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems
Published 2019“…Multi-purpose advanced systems are considered a complex problem in water resource management, and the use of data-intelligence methodologies in operating such systems provides major advantages for decision-makers. …”
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