Search Results - (( intelligence based ems algorithm ) OR ( intelligence based banking algorithm ))

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.

“…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 by Oladosu T.L., Pasupuleti J., Kiong T.S., Koh S.P.J., Yusaf T.

“…EMS strategies; AI-based algorithms categories, functions and hybridization; the state-of-art and future direction of AI-based algorithms and HFCEVs? …”

Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique by Abulifa, Abdulhadi Abdulsalam

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

“…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 by Koay Y.Y., Tan J.D., Koh S.P., Chong K.H., Tiong S.K., Ekanayake J.

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

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

Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim by Masmuhallim, Anis Athirah

“…The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
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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. …”
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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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Speech enhancement using deep neural network based on mask estimation and harmonic regeneration noise reduction for single channel microphone by Md Jamal, Norezmi

“…Moreover, the task of removing noises without causing speech distortion is also challenging, in which the quality and intelligibility of speech are affected. In order to overcome these issues, a supervised Deep Neural Network (DNN) algorithm predicted constrained Wiener Filter (cWF) target mask algorithm based on extracted Gammatone filter bank power spectrum (GF-TF) features and trained model is developed. …”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

“…This research explores the application of unsupervised learning, a subset of Artificial Intelligence (AI), to analyze customer behavior in accepting personal loans within the banking sector. …”
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Using Artificial Intelligence (AI) to improve accounting productivity and performance in business by Abdul Rahman, Samsuria, Wan Mustafa, Wan Muzlaina, Mat Jusoh, Yusri Huzaimi

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Adaptive Neural Subtractive Clustering Fuzzy Inference System for the Detection of High Impedance Fault on Distribution Power System by Tawafan, Adnan, Sulaiman , Marizan, Ibrahim, Zulkifilie

“…This paper proposes an intelligent algorithm using an adaptive neural- Takagi Sugeno-Kang (TSK) fuzzy modeling approach based on subtractive clustering to detect high impedance fault. …”
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Consumption-Based Priority Algorithm for Energy Consumption by Ahsan, Matiullah, Zainal, Zainab, Baharom, Md Nor Ramdon, Khalil, Ihsan Ullah, Mohd Ariffin, Azrul, Mohd Jamil, Nor Akmal, Ullah, Irshad, Mehmod, Luqman Hakim, Mohd Yousaf, Mohd Fairouz

“…The secret to creating energy-efficient processes is creating rules based on energy consumption priority algorithms. …”
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Consumption-Based Priority Algorithm for Energy Consumption by Ahsan, Matiullah, Zainal, Zainab, Baharom, Md Nor Ramdon, Khalil, Ihsan Ullah, Mohd Ariffin, Azrul, Mohd Jamil, Nor Akmal, Ullah, Irshad, Mehmod, Luqman Hakim, Mohd Yousaf, Mohd Fairouz

“…The secret to creating energy-efficient processes is creating rules based on energy consumption priority algorithms. …”
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Consumption-Based Priority Algorithm for Energy Consumption by Ahsan M., Zainal Z., Baharom M.N.R., Khalil I.U., Ariffin A.M., Jamil N.A.M., Ullah I., Mehmod L.H., Yousaf M.F.M.

“…The secret to creating energy-efficient processes is creating rules based on energy consumption priority algorithms. …”