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

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. …”
Get full text
Get full text

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…”
Get full text
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

Analyses Of Aerosol Optical Properties And Development Of Its Algorithm During Seasonal Monsoon Circulation by Tan , Fuyi

Get full text
Get full text

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

Get full text
Get full text

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

Get full text
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

Review paper on centroiding algorithm for lunar navigation by Razaman, Anis Hannani, Ahmad, Yasser Asrul, Khalifa, Othman Omran, Saidin, Norazlina, Azman, Amelia Wong

“…By addressing these gaps, this study aims to contribute to the development of more robust and accurate centroiding algorithms, advancing lunar navigation technologies for future exploration missions.…”
Get full text
Get full text
Get full text
Get full text

A real-time traffic sign recognition system for autonomous vehicle using Yolo / Nurul Paudziah Aida Mohd Paudzi by Mohd Paudzi, Nurul Paudziah Aida

“…Test results reached real-time object detection with 96% accuracy on both traffic sign detection and recognition. …”
Get full text
Get full text