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Advancements and challenges in mobile robot navigation: a comprehensive review of algorithms and potential for self-learning approaches
Published 2024“…In this review paper, a comprehensive review of mobile robot navigation algorithms has been conducted. The findings suggest that, even though the self-learning algorithms require huge amounts of training data and have the possibility of learning erroneous behavior, they possess huge potential to overcome challenges rarely addressed by the other traditional algorithms. …”
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Article -
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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…Support Vector Machine (SVM) is among the popular learning algorithm for classification in soft computing techniques. …”
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Research Reports -
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Crosstalk-Free Scheduling Algorithms for Routing in Optical Multistage Interconnection Networks
Published 2009“…Extended from the FastZ algorithms, another three new algorithms called the FastRLP, BRLP and FastBRLP algorithms are developed to achieve different performance goals. …”
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A novel navigation algorithm for collaborative multi robots
Published 2010“…But present unique challenges for developing collaborative navigation algorithm and coordination among themselves are not sufficient for autonomous collaborative tasks. …”
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Development of task distribution algorithm for multi-robot coordination system
Published 2022“…Hence, an effective task distribution algorithm is important to allocate tasks correctly among the robots with optimum cost and time utilization. …”
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Final Year Project / Dissertation / Thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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A collaborative navigation algorithm for multi-agent robots in autonomous reconnaissance mission
Published 2010“…But present unique challenges for developing collaborative navigation algorithm and coordination among themselves are not sufficient for autonomous collaborative tasks. …”
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Proceeding Paper -
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Heuristic task scheduling algorithms for optimal resource utilisation in grid computing
Published 2020“…The main goal of this work is to present an evaluation of resources utilisation for certain heuristic scheduling algorithms in Grid Computing Environment. The results of the two experimental scenarios showed that suf rage algorithm produced the best resource utilisation among the three investigated heuristic scheduling algorithms.…”
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Development Of Control Algorithm For Spot Cooling System
Published 2017“…This project’s aim is to develop a Control Algorithm for Spot Cooling system. …”
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Development of automatic pest sampling and detection system for cash crops
Published 2019“…However, among various biotic issues of agricultural production, pest infestation is the major challenge with the warm humid environment surrounding the crops that encourage the existence survival and proliferation of the pests. …”
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Thesis -
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Examination invigilation timetable using Genetic Algorithm / Mohamad Fakhrullah Ibrahim
Published 2025“…To overcome these issues, a system utilizing a Genetic Algorithm (GA) was developed to automate and optimize the timetabling process. …”
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An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif
Published 2016“…However, limited studies were found in bio-inspired algorithms especially immune based algorithm in talent prediction. …”
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Research Reports -
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A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm
Published 2019“…The desirable functionalities of CP-AGCM are showcased through formulation and development of an efficient global search strategy exploiting a wide range of collaboration among network agents. …”
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Development of cell formation algorithm and model for cellular manufacturing system
Published 2011“…In addition, one of the main challenges has been development of efficient algorithm for solving aforementioned model to find exact feasible optimal solution. …”
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Hybrid of convolutional neural network algorithm and autoregressive integrated moving average model for skin cancer classification among Malaysian
Published 2021“…This paper focuses on the classification of skin cancer to identify whether it is basal cell carcinoma, melanoma or squamous cell carcinoma by using the development of hybrid convolutional neural network algorithm and autoregressive integrated moving average model (CNN-ARIMA). …”
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