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Developing an intelligent system to acquire meeting knowledge in problem-based learning environments
Published 2006“…MALESAbrain1-3 is an intelligent algorithm which originally is designed for problem-based learning (PBL) environment. …”
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Heuristic factors in ant system algorithm for course timetabling problem
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Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging
Published 2016“…Rapid growth in network services and vast usage of Internet worldwide have led to an increase in network traffic and created bottleneck over the internet. …”
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An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…The objective of this study was to solve the robot dynamic hybrid control problem using intelligent computational processes. In the course of problem- solving, biologically inspired models were used. …”
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Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study
Published 2024“…Purpose/Objectives: Admission into dental school involves selecting applicants for successful completion of the course. This study aimed to predict the academic performance of Kulliyyah of Dentistry, International Islamic University Malaysia pre-clinical dental students based on admission results using artificial intelligence machine learning (ML) models, and Pearson correlation coefficient (PCC). …”
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Machine learning and deep learning approaches for cybersecurity: a review
Published 2022“…The rapid evolution and growth of the internet through the last decades led to more concern about cyber-attacks that are continuously increasing and changing. …”
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Hybrid Metaheuristic Algorithm and Metaheuristic Performance Measurement for Solving University Course Timetabling Problem
Published 2007“…Metaheuristics have received considerable interest in the fields of applied artificial intelligence and combinatorial optimization such as university course timetabling problem (UCTP). …”
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Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph
Published 2023“…The course was divided into two groups, an experimental group and a control group. …”
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Intelligent traffic lights using Q-learning
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Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis
Published 2025“…Complementary K-Means clustering grouped the data into two major clusters, indicating that a clear differentiation between economic-based and entrepreneurship-based courses in terms of student enrolment volume and approval distribution. …”
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Teaching and learning via chatbots with immersive and machine learning capabilities
Published 2019“…The paper describes the development of intelligent chatbots that had been built for Java programming course. …”
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Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…The continuous growth in wireless communication demands has led to a rapid increase in energy consumption and spectrum utilization. …”
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15
Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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Handbook of Machine Learning for Computational Optimization: Applications and Case Studies
Published 2021“…Individuals looking for machine learning-based knowledge will find interest in this handbook. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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