Search Results - (( hindering optimization based algorithm ) OR ( java application learning algorithm ))

Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

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Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm by Ashraf, Erum

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Optimal demand response of solar energy generation using Genetic Algorithm / Muhammad Asyraaf Adlan by Adlan, Muhammad Asyraaf

“…The aim of this study is to optimize the demand response of solar energy generation using Genetic Algorithm (GA) to minimize the daily yield loss caused by load shedding. …”
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Chaotic Immune Symbiotic Organisms Search algorithm for solving optimisation problem by Zamani M.K.M., Musirin I., Suliman S.I., Mustaffa S.A.S.

“…Despite the performance of these algorithms, the flaws of these algorithms hinder them from producing high-quality results. …”

Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process by Chong K.L., Huang Y.F., Koo C.H., Sherif M., Ahmed A.N., El-Shafie A.

Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

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Hybrid Harmony Search Algorithm Integrating Differential Evolution and Lévy Flight for Engineering Optimization by Qin, Feng, Mohd Zain, Azlan, Yusup, Norfadzlan, Prasetya, Didik Dwi, Abdul Jalil, Rozita, Bahari, Mahadi, Kamin, Yusri, Abdul Majid, Mazlina

“…Harmony search algorithm (HSA) is extensively utilized in engineering optimization. …”
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Hybrid Harmony Search Algorithm Integrating Differential Evolution and Lévy Flight for Engineering Optimization by Qin, Feng, AZLAN, MOHD ZAIN, KAI-QING, ZHOU, Norfadzlan, Yusup, DIDIK DWI, PRASETYA, ROZITA, ABDUL JALIL, ZAHEERA, ZAINAL ABIDIN, MAHADI, BAHARI, YUSRI, KAMIN, MAZLINA, ABDUL MAJID

“…Harmony search algorithm (HSA) is extensively utilized in engineering optimization. …”
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An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications by Far Chen, Jong

“…Sarawak is transitioning to green energy adoption, yet progress is hindered by a lack of comprehensive spatial data to identify optimal locations, inadequate optimization techniques for effective integration of these sites, and insufficient robust Industrial Internet of Things-based real-time monitoring and automation strategies to manage the intermittent nature of green energy resources. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Partitioning Detection and Connectivity Restoration Algorithm for Wireless Sensor Actor Networks by Imran, Muhammad, Younis, Mohamed, Md Said, Abas, Hasbullah, Halabi

“…We present PCR, a hybrid novel distributed partitioning detection and connectivity restoration algorithm. It proactively identifies critical actors based on local topological information and designates appropriate backup nodes to handle their failure. …”
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Hybrid harmony search algorithm integrating differential evolution and lévy flight for engineering optimization by Qin, Feng, Azlan, Mohd Zain, Zhou, Kaiqing, Norfadzlan, Yusup, Dwi Prasetya, Didik, Rozita, Abdul Jalil, Zaheera, Zainal Abidin, Mahadi, Bahari, Yusri, Kamin, Mazlina, Abdul Majid

“…Harmony search algorithm (HSA) is extensively utilized in engineering optimization. …”
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Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations by Elsanabary A., Khairullah K., Aziz N.F.A., Mekhilef S.

“…The optimized tuning method using the proposed algorithm shows superior performance compared to other methods. …”

Adaptive medium access control protocol of Wifi-Halow for home machine-to-machine network by Liew, Jiun Terng

“…Firstly, this work proposed a novel algorithm known as probability-based opportunity dynamic adaptation (PODA) of CW for home M2M network. …”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

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Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources by Kumar, A., Ridha, S., Narahari, M., Ilyas, S.U.

“…The performance of the algorithm is validated with experimental datasets. …”
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Partitioning detection and connectivity restoration algorithm for WSAN by Muhammad, Imran, Md Said, Abas, Hasbullah, Halabi, Younis, Mohammed

“…This paper presents PCR, a novel distributed partitioning detection and connectivity restoration algorithm. PCR proactively identifies critical actors based on local topological information and designate appropriate backup nodes (preferably non-critical) to handle their failure. …”
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Balancing data utility versus information loss in data-privacy protection using k-Anonymity by Esmeel, Thamer Khalil, Hasan, Md Munirul, Kabir, Muhammad Nomani, Ahmad, Firdaus

“…Based on the classification accuracy, the optimal values of k and c are obtained, and thus, the optimal k and c can be used for kanonymity algorithm to anonymize optimal number of columns of the dataset.…”
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