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

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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Enhancing performance of global path planning for mobile robot through Alpha–Beta Guided Particle Swarm Optimization (ABGPSO) algorithm by Ahmad, Javed, Ab Wahab, Mohd Nadhir, Ramli, Ahmad, Misro, Md Yushalify, Ezza, Wan Zafira, Wan Hasan, Wan Zuha

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

“…The key functionalities are including traffic sign recognition, parking space detection, pedestrian crash avoidance and blind spot detection. …”
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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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The reliability of halal product transportation using GPS tracking system by Mohamad, Maizatul Akma, Mansor, Shattri, Ahmad, Noordin, Wan Adnan, Wan Azizun, Muhammad Wali, Islam

“…Aiming at monitoring and reducing the possibility of cross contamination that might occur during the transportation process, the Halaltracer tracking system was developed using the combinations of Global Positioning System (GPS) and geofence algorithm. …”
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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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Analysis of Traffic Accident Patterns Using Association Rule Mining by Yudy, Pranata, Tri Basuki, Kurniawan, Edi Surya, Negara, Ahmad Haidar, Mirza

“…This study analyzed the levels of minor, moderate, and severe traffic accidents in the Palembang Police area from 2015 to 2020 using association rule mining and the apriori algorithm. The study established valuable insights into accident trends and contributing factors by leveraging traffic accident data and determining variable relationships. …”
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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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Application of target detection method based on convolutional neural network in sustainable outdoor education by Yang, Xiaoming, Samsudin, Shamsulariffin, Wang, Yuxuan, Yuan, Yubin, Tengku Kamalden, Tengku Fadilah, Yaakob, Sam Shor Nahar

“…The acquisition system of underwater camera information of manned submersibles is designed through the Single Shot-MultiBox Detector algorithm of deep learning. Furthermore, CNN is adopted to classify the underwater target images, which realizes the intelligent detection and classification of underwater targets. …”
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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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Improved Cheating Detection in Examinations using YOLOv8 with Attention Mechanism by YAN, ZUO

“…This thesis presents an innovative approach to enhance examination fairness through automated cheating detection using an improved YOLOv8 algorithm integrated with an attention mechanism. …”
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The development of spatio-temporal data model for dynamic visualization of virtual geographical information system by Mohd. Rahim, Mohd. Shafry, Daman, Daut

“…Developing an efficient spatiotemporal data model is very important in contributing to the functionality improvement of the VGIS. …”
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PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions by Nafrizuan, Mat Yahya, Nur Iffah, Mohamed Azmi

“…The proposed algorithm will hold a better exploration–exploitation equilibrium if the contributions of convergence and diversity and global and individual bests in attracting particles are maintained in balance. …”
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Chaos search in fourire amplitude sensitivity test by Koda, Masato

“…Work in Artificial Intelligence (AI) often involves search algorithms. In many complicated problems, however, local search algorithms may fail to converge into global optimization and global search procedures are needed. …”
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Chaos Search in Fourier Amplitude Sensitivity Test by Koda, Masato

“…Work in Artificial Intelligence (AI) often involves search algorithms. In many complicated problems, however, local search algorithms may fail to converge into global optimization and global search procedures are needed. …”
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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). …”

The prevalence and functional impact of rare genomic copy number variation in hypertension-related left ventricular hypertrophy / Julia Ashazila Mat Jusoh by Mat Jusoh, Julia Ashazila

“…In conclusion, more than a quarter of hypertensive male Malaysians had LVH and genetic factor (rare CNV) plays a contributing factor to the development of HT LVH+ through alteration of the functional regulation of foetal cardiac gene programme. …”
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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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