Search Results - global contributing ((((factor algorithm) OR (bat algorithm))) OR (detection algorithm))

New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems by Nor Shuhada, Ibrahim

“…The Modified Adaptive Bats Sonar Algorithm (MABSA), initially designed for single objective optimization and inspired by colony bats' echolocation, has demonstrated efficiency with its simple structure and reduced computation time. …”
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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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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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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 paper offers two types of comparisons from distinct perspectives: firstly, the performance of each algorithm in predicting real cases of anti-money laundering compliance, and secondly, the contribution of attributes measured by weights of correlation in different algorithms. …”
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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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A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites by Din, Fakhrud

“…Many test data generation strategies based on meta-heuristic algorithms such as Simulated Annealing (SA), Tabu Search (TS), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Harmony Search (HS), Cuckoo Search (CS), Bat Algorithm (BA) and Bees Algorithm have been developed in recent years. …”
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Building norms-adaptable agents from Potential Norms Detection Technique (PNDT) by Mahmoud M.A., Ahmad M.S., Ahmad A., Mustapha A., Yusoff M.Z.M., Hamid N.H.A.

“…This paper presents a contribution to research on norms detection by proposing a technique, which is called the Potential Norms Detection Technique (PNDT). …”

A review of deep learning-based defect detection and panel localization for photovoltaic panel surveillance system by Mohamed Ameerdin, Muhammad Irshat, Jamaluddin, Muhammad Herman, Shukor, Ahmad Zaki, Mohamad, Syazwani

“…As the photovoltaic (PV) systems expands globally, robust defect detection and precise localization technologies becomes crucial to ensure their operational efficiency. …”
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Enhancing Oil Palm Fruit Detection: A Comparative Analysis Of Yolo Algorithms by Ainul Hakim Fizal Sabillah, Hafizal Mohamad, Sagaya Sabestinal Amalathas, Seung Hwan Won, Muhammad Hakim Ahmad Sobri

Enhanced computational methods for detection and interpretation of heart disease based on ensemble learning and autoencoder framework / Abdallah Osama Hamdan Abdellatif by Abdalla Osama , Hamdan Abdellatif

“…Heart disease remains the primary cause of mortality globally, and its early detection is critical for reducing mortality rates. …”
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A comparative analysis of machine learning algorithms for diabetes prediction by Alansari, Waseem Abdulmahdi, Masnizah Mohd

“…The study contributes insights into the importance of pre-processing and feature selection in improving algorithm performance. …”
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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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Building norms-adaptable agents from Potential Norms Detection Technique (PNDT) by Mahmoud, Moamin Ahmed, Ahmad, Mohd Sharifuddin, Ahmad, Azhana, Mustapha, Aida, Mohd Yusoff, Mohd Zaliman, Abdul Hamid, Nurzeatul Hamimah

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Concrete surface inspection by using Unmanned Aerial Vehicle (UAVs) and deep learning algorithms Yolov7 by Rusdinaidi, Saffa Nasuha, Hashim, Khairil Afendy, Ahmad Dahlan, Zaki

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Prediction of breast cancer diagnosis using machine learning in Malaysian women by Mokhtar, Tengku Muhammad Hanis Tengku

“…The three frequently used ML algorithms were deep learning, support vector machine (SVM), and cluster analysis. …”
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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. …”

Evaluating the Performance of a Visual Support System for Driving Assistance using a Deep Learning Algorithm by Beg, Mohammad Sojon, Muhammad Yusri, Ismail, Miah, M. Saef Ullah

“…This article presents the evaluation of an object detection model for University of Malaysia Pahang (UMP) roadside conditions, focusing on the detection of vehicles, motorcycles, and traffic lamps. …”
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Halal authentication of alcohol in food and beverages products: a review by Mohamad Ikhiwan, Nur Hanisah, Tukiran, Nur Azira

“…Although innovative techniques have been developed, the intricacies of analyzing alcohol within complex food matrices stem from various contributing factors. The presence of sugars introduces molecular interactions that can affect the stability and detection of alcohol, which pose challenges to inaccurate quantification. …”
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Halal authentication of alcohol in food and beverages products: a review / Nur Hanisah Mohamad Ikhiwan and Nur Azira Tukiran by Mohamad Ikhiwan, Nur Hanisah, Tukiran, Nur Azira

“…Although innovative techniques have been developed, the intricacies of analyzing alcohol within complex food matrices stem from various contributing factors. The presence of sugars introduces molecular interactions that can affect the stability and detection of alcohol, which pose challenges to inaccurate quantification. …”
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Modeling of road geometry and traffic accidents by hierarchical object-based and deep learning methods using laser scanning data by Sameen, Maher Ibrahim

“…This model also could identify the most influential factors contributing to the number of accidents. …”
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