Search Results - global contributing ((factor algorithm) OR (based algorithm))

Optimal power flow based on fuzzy linear programming and modified Jaya algorithms by Alzihaymee, Warid Sayel Warid

“…In this work, a considerable contribution has been made in terms of modifying Jaya algorithm for handling MOOPF problems. …”
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A Framework of Rough Reducts Optimization Based on PSO/ACO Hybridized Algorithms by Pratiwi, Lustiana, Choo, Yun Huoy, Draman @ Muda, Azah Kamilah

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CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING by ISLAM, BADAR UL ISLAM

“…In this research work, a modified backpropagation neural network is combined with a modified chaos-search genetic algorithm for STLF of one day and a week ahead. Multiple modifications are carried out on the conventional back-propagation (BP) algorithm such as, improvements in the momentum factor and adaptive learning rate. …”
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Performance optimization of simultaneous machine and automated guided vehicle scheduling using fuzzy logic controller based genetic algorithm. by Sulaiman, Shamsuddin, Mohd Ariffin, Mohd Khairol Anuar, Badakshian, Mostafa

“…Integrated scheduling ofAGVs and machines is an essential factor contributing to the efficiency of the manufacturing system inFMS environment. …”
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A review of assembly line balancing optimisation with energy consideration using meta-heuristic algorithms by Mohd Fadzil Faisae, Ab Rashid, Ariff Nijay, Ramli

“…It was found that the contribution in future ALB with energy research will be human-oriented, either social factor consideration in optimisation or energy utilisation modelling for workers. …”
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Comparative analysis of image search algorithm using average RGB, local color histogram, global color histogram and color moment HSV by H.M Alzoubi, Amera

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Machine learning in predicting anti-money laundering compliance with protection motivation theory among professional accountants by Masrom, S., Tarmizi, M.A., Halid, S., Rahman, R.A., Abd Rahman, A.S., Ibrahim, R.

“…The research elaborates on the design and implementation of machine learning models based on three algorithms: Decision Tree, Gradient Boosted Tree, and Support Vector Machine. …”
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Simultaneous localization and mapping and tag-based navigation for unmanned aerial vehicles by Ramli, Rizauddin, Amiri, Mohammad Soleimani, Faizal, Aiman Hakimi

“…On the other hand, navigation in SLAM was achieved using a global and local planner algorithm. For localization, an Adaptive Monte-Carlo Localization (AMCL) technique has been used to identify factors contributing to inconsistent mapping results, such as heavy computational load, grid mapping accuracy, and inadequate UAV localization. …”
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An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification by Wan Azman,, Wan Nur Fadhlina Syamimi, Ku Azir, Ku Nurul Fazira, Mohd Khairuddin, Adam

“…In conclusion, the work demonstrates a novel method for using machine learning algorithms to classify, identify, and predict the contamination level of leftover cooked food, contributing to reducing food waste generated primarily by Malaysians…”
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Efficient beamforming and spectral efficiency maximization in a joint transmission LTE-A system by Faisal, Ali Raed

“…As a contribution of this thesis, diversity loss can be solved by replacing the inactive particles adaptively based on the difference between local best and global best optimization criterion. …”
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A pilot study on the validation of vis-screen mobile application for vision test by Abdul Mutalib, Othman, Nyi Nyi, Naing, Atif Amin, Baig

“…Visual impairment and blindness is a global concern. Poor awareness and late detection are the significant factors contributing to the large number of visually impaired people worldwide. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

“…Therefore, this was not incorporated in BBN models. Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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Optimizing carbon emission analysis for sustainable environmental impact / Nazatul Adibah Tham Iskandar Nasruddin Tham by Iskandar Nasruddin Tham, Nazatul Adibah Tham

“…The objectives are to democratize carbon emission calculations and optimize emission values using advanced swarm-based algorithms. The methodology includes designing an accessible application, performing a comprehensive carbon emission analysis for Engineering Tower 2 in accordance with GHG Protocol and ISO 14064 guidelines, and incorporating participation factors and utilization indices to refine emission values. …”
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Validation of vis-screen mobile application for easy vision test by general public: a pilot study by Abdul Mutalib, Othman, Naing, N.N., Atif Amin, Baig, Siti Nor Aishah, Abdul Rahman

“…Visual impairment and blindness is a serious global concern. Poor awareness and late detection are significant factors contributing to the vast number of visually impaired people worldwide. …”
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Determination of tree stem volume : A case study of Cinnamomum by Noraini Abdullah

“…Comparisons between the MR and PR models of the case studies are analyzed based on the eight selection criteria (8SCs). Factors contributing to the stem volume estimation are identified as tree height (T) and diameter at base (Db) as main contributors, while diameter at the middle (Dm), breast height (Dbh) and top (Dt) are significant contributors. …”
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Does organizational culture matter in the relationship between trust and SMEs performance by Gorondutse, Abdullahi Hassan, Abdullah, Haim Hilman

“…Design/methodology/approach – The hypotheses of the study were tested using personally administered survey questionnaires; the study obtained 486 valid questionnaires, which were evaluated using SmartPLS Algorithm and bootstrapping functions. Findings – The research findings were established using SmartPLS Algorithm and bootstrapping functions. …”
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Analyses Of Aerosol Optical Properties And Development Of Its Algorithm During Seasonal Monsoon Circulation by Tan , Fuyi

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High-Resolution Downscaling with Interpretable Relevant Vector Machine: Rainfall Prediction for Case Study in Selangor by Abdul Rashid, Raghdah Rasyidah, Shaharudin, Shazlyn Milleana, Sulaiman, Nurul Ainina Filza, Zainuddin, Nurul Hila, Mahdin, Hairulnizam, Mohd Najib, Summayah Aimi, Hidayat, Rahmat

“…The Principal Component Analysis (PCA) technique was employed to choose relevant environmental variables as input for the machine learning model, and various imputation methods were utilized to manage missing data, such as mean imputation and the KNN algorithm. To assess the performance of the RVM-based rainfall model, we collected a dataset from the Department of Irrigation and Drainage Malaysia. …”
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Monitoring the Quality of Ozone towards the Prevention of Further Global Warming by Abas, M. Amir, Azim, M.Khusairy, Fadzil, M.Helmi, M.Dahlui, UniKL BMI

“…This article discusses the issue of Ozone depletion in global warming, factors causing Ozone depletion and the design of monitoring system. …”

A novel GeoAI-based multidisciplinary model for SpatioTemporal Decision-Making of utility-scale wind–solar installations: to promote green infrastructure in Iraq by Sachit, Mourtadha Sarhan, Mohd Shafri, Helmi Zulhaidi, Abdullah, Ahmad Fikri, Mohd Rafie, Azmin Shakrine, A. Gibril, Mohamed Barakat

“…Unique global weightings for decision factors were derived using Random Forest (RF) and SHapley Additive exPlanations (SHAP) algorithms supported by sample inventories of wind and solar plants worldwide. …”
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