Search Results - (( java implementation force algorithm ) OR ( framework collaborative learning algorithm ))

Improved rsync algorithm to minimize communication cost using multi-agent systems for synchronization in multi-learning management systems by Mwinyi, Amir Kombo

“…This model enhances the interoperability and collaboration of HLIs in terms of synchronization and sharing of learning contents. …”
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A COLLABORATIVE FRAMEWORK FOR ANDROID MALWARE IDENTIFICATION USING DYNAMIC ANALYSIS by Thayaaleni, Rajandran

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A collaborative filtering approach using machine learning and business intelligence: a critical review by Muhamad Ibrahim, Najhan, Abiduzzaman, S M, Abdul Raziff, Abdul Rafiez, Shah, Asadullah

“…Specifically, we discovered that combining deep learning techniques with reinforcement learning algorithms enhanced recommendation reliability by 35% while improving user engagement measures by 25%. …”
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Distributed learning based energy-efficient operations in small cell networks by Mughees, Amna

“…The thesis proposed a solution that employs unique characteristics of machine learning and game-theoretic framework to enable a model-free and energy-efficient small cell network. …”
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A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata by Darvishy, Asghar

“…HYPNER combines both the collaborative filtering-based and the Content-based filtering methods in its framework. …”
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Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin by Samsudin, Fahmi

“…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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AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm by Salim, Nur Saadah, Saad, Shahadan

“…The SVM algorithm, a supervised learning model, plays a crucial role in improving the efficiency of tool selection, ultimately enhancing the speed and adaptability of vulnerability detection processes. …”
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Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024) by Ibrahim Brian, Muhammad Shyazzwan

“…Grounded in constructivist and socio-cultural theories, these technologies promote collaboration, creativity, and learner autonomy through adaptive learning pathways and real-time feedback. …”
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Integrating of web 2.0 technologies for interactive courseware : data structure and algorithm as case study by Mohd Nurhafeezi, Nordin

“…It also has a greater potential for teaching and learning activities and how these technologies impact the education sector. …”
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The effectiveness of problem-based serious games on learning and learning motivation in the context of 3D computer graphics / Meisam Moradi by Meisam , Moradi

“…Prior to that, a problem-based SG was designed by considering principles of problem-based learning (i.e., higher order thinking, collaborative learning, and cognitive thinking) and serious games (playing for learning). …”
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Robotics in Education by Norashikin, M. Thamrin, Addie, Irawan, Zurita, Zulkifli, Syed Abdul Mutalib, Al Junid, Megat Syahirul Amin, Megat Ali, Anwar P. P., Abdul Majeed

“…The AI section discusses machine learning, path-planning algorithms (e.g., A* search, SLAM), and classroom case studies. …”
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FURIA stacking ensemble for ASD classification by Ainie Hayati, Noruzman, Ngahzaifa, Ab Ghani, Nor Saradatulakmar, Zulkifli

“…Instead of relying on conventional domain expert rules, one possible solution is adapting fuzzy rules by proposing the Fuzzy Unordered Rule Induction Algorithm (FURIA) and the machine learning algorithms by collaborating them into the stacking ensemble framework. …”
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UiTM research supervisor recommendation system / Ahmad Adam Ahmad Muzzlini by Ahmad Muzzlini, Ahmad Adam

“…In terms of future work, an implementation of collaborative filtering can be used to learn data from past recommendation of users but would need a large dataset of users to work properly.…”
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Digital assistant for workspace apps by See, Ling Xuan

“…Workspace app, or a digital workspace is a technology framework used to deliver, manage, and centrally controls the components of the IT assets of an organization including apps, data, and endpoints. …”
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A Survey on Information-Centric Networking with Cloud Internet of Things and Artificial Intelligence by Farhan Ahmed Karim, Azana Hafizah Mohd Aman, Rosilah Hassan, Kashif Nisar

“…As data rates rise and the Internet becomes a requirement for any technology, we require IoT settings in which data can be cached locally, which is possible when ICN collaborates with cloud or edge computing. To make this arrangement more intelligent, we require AI, and machine learning algorithms can help to overcome many obstacles. …”
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The level of effectiveness of healthcare education on TikTok by Khairul Azli, Najmi Nafis, Mohd Rizal, Siti Hana Natasya, Ridzuan, Abdul Rauf, Baharuddin, Nur Umairah Bazla, Mahlin, Muhamad Aiman, Sataria, Iskhandar Ishraf, Jamri, Mohamad Hafifi

“…This research highlights TikTok's evolution into a hub for credible healthcare information, fostering active viewer participation and creating a dynamic learning environment. It serves as a valuable resource for social media users seeking reliable healthcare information and provides content creators with a framework for developing impactful healthcare content. …”
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Form four chemistry teachers’ conceptualization of pedagogical content knowledge / Chien Lee Shing by Chien, Lee Shing

“…A framework of collaboration was iii proposed to help the chemistry teachers develop and expand their PCK evenly and holistically. …”
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Applying (ACTFL) Standards to Arabic Language Education and the Challenges of Artificial Intelligence An Analytical Study by Abdallah, Abdallah Saleh, Al-Haddad, Abdulwahab Abdulaziz Kassem, Talib, Noor Husna, Ibrahim Youssef, Mohamed Abdelrahman, Zolmaily, Muhammad Akmal

“…Only some of the analyzed papers explicitly focused on Arabic education, and even fewer engaged with ACTFL-aligned frameworks. While AI has shown promise in areas such as personalized learning, grammar feedback, and pronunciation support, it struggles with capturing dialectal nuance and cultural subtleties central to ACTFL’s five Cs (Communication, Cultures, Connections, Comparisons, and Communities). …”
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