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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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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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Campus study buddy : collaborative learning and resource sharing app
Published 2024“…The application is developed using Flutter and uses a tag recommendation algorithm to push content that users may be interested in, thereby intelligently providing users with an online learning environment that suits them and improving their learning efficiency. …”
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Final Year Project / Dissertation / Thesis -
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A machine learning approach to tourism recommendations system
Published 2025“…This project aims to develop a tourism attractions recommendation system by integrating machine learning recommendation algorithms. …”
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Final Year Project / Dissertation / Thesis -
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Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology
Published 2024“…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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The integration of Voip and e-Learning system in a collaborative learning environment / Ahmad Zulkhair Zakaria
Published 2006“…Derived from this ability, the idea to make an Integration of VoIP and E-Learning System in a Collaborative Learning Environment appears. …”
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Student Project -
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Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
Published 2015“…Despite the availability of conventional resources for this purpose, according to our detailed investigation, no empirical research has explored the possibilities of emerging adaptive and intelligent systems for collaborative learning to address this challenge. The goals of this research are: (a) to determine the applicability of learner corpus research through automated pattern extraction from available Qur'anic corpora (b) to investigate declarative memory modeling approaches in order to develop a quantitative algorithm to maximize learning and (c) to explore the possibilities of utilizing existing social networks to enhance learner motivation.…”
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Monograph -
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Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool
Published 2019“…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
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Final Year Project -
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Improving Patient Rehabilitation Performance In Exercise Games Using Collaborative Filtering Approach
Published 2024journal::journal article -
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AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm
Published 2025“…The research employs Extreme Programming (XP) methodologies to ensure high-quality code, agility, and collaborative development. The methodology focusing on simplicity and fast development process that suitable for simple and small project in a short time. …”
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Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin
Published 2023“…It encompasses different types, such as rule-based AI using if-then statements for decision-making, machine learning which employs algorithms to analyze and learn from data, and deep learning utilizing artificial neural networks to learn from extensive datasets. …”
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Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024)
Published 2025“…Ultimately, the study underscores the need for interdisciplinary collaboration among educators, policymakers, and technology developers to foster sustainable and inclusive learning environments. …”
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Integrating of web 2.0 technologies for interactive courseware : data structure and algorithm as case study
Published 2013“…The intention of the developed courseware is not to replace conventional class, but the develop courseware main objective is to assist students of FCSIT for better understanding towards Data Structure and Algorithms Course (TMC1433) through interactive delivering information.…”
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Final Year Project Report / IMRAD -
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Design, development and evaluation of a game-based learning application for room housekeeping
Published 2024“…The paper concludes with a discussion on potential enhancements such as incorporating adaptive learning algorithms and multiplayer features to support collaborative learning. …”
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A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata
Published 2019“…In recent years, there has been much focus on the design and development of personalized news recommendation systems that observe and learn user behavior and generate news set based on this behavior. …”
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Thesis -
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Deep learning based human presence detection
Published 2020“…This study entails developing a deep learning-based human presence detector for deployment in smart factory environments to overcome dimensionality limitations. …”
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Smart agriculture: precision farming through sensor-based crop monitoring and control system
Published 2024“…Notably, prevalent smart agriculture systems predominantly emphasize either IoT components for data monitoring and control or machine learning components for data analysis. Consequently, this project endeavours to develop a system that seamlessly integrates both IoT and machine learning components, culminating in an advanced system capable of real-time crop monitoring and growth prediction. …”
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