Search Results - (( intelligence system ems algorithm ) OR ( intelligence valid drops algorithm ))

Control strategies for energy management system in electric vehicle using high-level supervisory control by Abulifa, Abdulhadi Abdulsalam, Che Soh, Azura, Hassan, Mohd Khair, Raja Ahmad, Raja Mohd Kamil, Mohd Radzi, Mohd Amran

“…Applying EMS with HLSC control strategy with an intelligent management algorithm that is able reallocate the electrical power flow inside the EVs system to boost power efficiency and obtain optimum effectiveness. …”
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EM-Psychiatry: An Ambient Intelligent System for Psychiatric Emergency by Alam, M.G.R., Haw, R., Kim, S.S., Azad, A.K., Abedin, S.F., Hong, C.S.

“…The proliferation of the market in patient care services is attracting attention in the healthcare industry; however, a remote mental healthcare system is still unattainable. 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 by Oladosu T.L., Pasupuleti J., Kiong T.S., Koh S.P.J., Yusaf T.

“…Therefore, this study presents the prospect of artificial intelligence-based algorithms, control systems, and energy management strategies advances on HFCEVs performance optimization. …”

An electromagnetism-like mechanism algorithm approach for photovoltaic system optimization by Tan J.D., Koh S.P., Tiong S.K., Ali K., Koay Y.Y.

“…In this paper, an artificial intelligent approach is proposed for the optimization of a photovoltaic solar energy harvesting system. …”

Visualization of dengue incidences using expectation maximization (EM) algorithm by Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.

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Expectation maximization clustering algorithm for user modeling in web usage mining system by Mustapha, Norwati, Jalali, Manijeh, Jalali, Mehrdad

“…To provide intelligent personalized online services such as web recommender systems, it is usually necessary to model users’ web access behavior. …”
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Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique by Abulifa, Abdulhadi Abdulsalam

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Energy Management System For Three-Wheel Light Electric Vehicle Using Multi-Sources Energy Models by Azidin, Farid Arafat

“…A close loop vehicle system implemented with intelligent EMS is designed in MATLAB/Simulink. …”
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Optimization of wind energy conversion systems � an artificial intelligent approach by Koay Y.Y., Tan J.D., Koh S.P., Chong K.H., Tiong S.K., Ekanayake J.

Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED) by Muhammad Ikram, Mohd Rashid, Hamdan, Daniyal, Mohd Ashraf, Ahmad

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Employing Artificial Intelligence to Minimize Internet Fraud by Wong, E.S.K.

“…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. 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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Virtual power plant and microgrids controller for energy management based on optimization techniques by Abdolrasol M.G.M., Mohamed A., Hannan M.A.

New Energy Management System Based on Intelligent Digital Power Monitoring by Fakharuddin, Azhar, Nik Mohd Kamil, Nik Yusof, Muhammad, Rauf, Abdalla, Ahmed N.

“…This paper introduces a new Energy Management System (EMS) based on intelligent digital power monitoring. …”
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment by Perumal, Thinagaran

“…The third algorithm, named as Pro-Active Intelligence algorithm has inspired autonomous action triggering for each event interoperation, using a control action statement that is generated by SOAP packets required for joint execution of tasks among heterogeneous subsystems. …”
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Artificial intelligent power prediction for efficient resource management of WCDMA mobile network by Tee Y.K., Tinng S.K., Koh J., David Y.

“…This artificial intelligent call admission control (CAC) was validated using a dynamic WCDMA mobile network simulator. …”

2D Forward Modeling of Marine Controlled Source Electromagnetic (CSEM) Data for Salt-Dome and Stratigraphy Trap Reservoir by Hussain, Nazabat, Karsiti , Mohd Noh, Yahya, Noorhana, Yahya, Norashikin

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A Hybrid Soft Computing Framework for Electrical Energy Optimization by Akhtar, Shamim, Muhamad Zahim, Sujod, Rizvi, Syed Sajjad Hussain

“…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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Farmland fertility optimization for designing of interconnected multi-machine power system stabilizer by Sabo, Aliyu, Abdul Wahab, Noor Izzri, Othman, Mohammad Lutfi, Mohd Jaffar, Mai Zurwatul Ahlam, Beiranvand, Hamzeh

“…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 real-time integrated fire detection and alarm (FDA) system for network based building automation by Anwar, Farhat, Islam, Rounakul, Hussain, Sabahat, Rashid, Muhammad Mahbubur, Shaikh, Zuhaib

“…Objectives: An integrated Fire Detection and Alarm (FDA) systems with building automation was studied, to reduce cost and improve their reliability by preventing false alarm, signal drop and network breakdown. This work proposes an improved framework for FDA system to ensure a robust, intelligent network of FDA control panels in real-time. …”
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Blood cell classification using deep learning by Liaw, Mun Kin

“…As a result, the finalized model which consists of batch size of 16, learning rate of 0.0009, global pooling layer, 4 number of classes dropped to 3 number of classes and 3 dense layers achieved a testing accuracy of approximately 63% and validation accuracy of 99%.…”
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