Search Results - (( intelligence based ems algorithm ) OR ( intelligence system thinking algorithm ))
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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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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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Thesis -
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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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Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)
Published 2023Short Survey -
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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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Music Recommender System Using Machine Learning Content-Based Filtering Technique
Published 2022“…Machine Learning is a form of Artificial Intelligence that will make systems to think like human being. …”
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Undergraduates Project Papers -
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An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid
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Agent architectures (building chatterbot) / Umi Aimah Abu Bakar
Published 2003“…Finally, this report also included the system development tools chosen plus, the details of system design for MILAH chatterbot. …”
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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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Predicting Diseases Using Multi-BackPropagation
Published 2002“…The computer becomes more important with the introduction of the intelligent system. The intelligent medical system increases the ability of medical practitioners in providing diagnosis and prognosis. …”
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A conceptual Malaysian private healthcare university-of-the-future business model: staying relevant in the digital and post-covid era
Published 2022“…The results from the analysis and design of the BMC and SC indicate that the principal changes required to digitally transform the university to a UotF include: the adoption of an open learning system for flexible and lifelong learning; transitioning the campus to a more 'smart', eco-friendly and sustainable campus; incorporating the latest artificial intelligence, machine learning algorithms, and data analytics to improve the university‘s management systems and enhance delivery mechanisms for teaching and learning; and to improve community engagement relationships and partnerships to deliver value to the economic, health and safety of the society, as well as to leverage the open learning system to provide curated courses to niche categories of students locally and globally.…”
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Artificial Neural Network Flood Prediction for Sungai Isap Residence
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