Search Results - (( evolution optimization max algorithm ) OR ( program implication _ algorithm ))

Performance comparison of differential evolution and particle swarm optimization in constrained optimization by Iwan, Mahmud, Akmeliawati, Rini, Faisal, Tarig, Al-Assadi, Hayder M.A.A.

“…Particle swarm optimization (PSO) and differential evolution (DE) are among the well-known modern optimization algorithms. …”
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Dynamic transmit antenna shuffling scheme for hybrid multiple-input multiple-output in layered architecture by Chong, Jin Hui

“…Two dynamic transmit antenna shuffling schemes, namely ‘Optimal’ and ‘Max STBC’, are proposed to enhance the V-BLAST/STBC transceiver scheme with LC-QR proposed in the first part. …”
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Virtual Reality in Algorithm Programming Course: Practicality and Implications for College Students by Hafizul Fahri bin Hanafi

“…Virtual Reality in Algorithm Programming Course: Practicality and Implications for College Students by Hafizul Fahri bin Hanafi…”
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Virtual reality in algorithm programming course: practicality and implications for college students by Dewi, Ika Parma, Ambiyar, Mursyida, Lativa, Effendi, Hansi, Giatman, Muhammad, Efrizon, Hanafi, Hafizul Fahri, Ali, Siti Khadijah

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A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization by Ean, Kate Nee Goh, Jeng, Feng Chin, Wei, Ping Loh, Chea, Ling Tan

“…Purpose: The manuscript presents an investigation into a constraint programming-based genetic algorithm for capacity output optimization in a back-end semiconductor manufacturing company. …”
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Electromagnetic fields policy implications for risk assessment by Farag A., Hussain H., Said I., Ahmad A.S.

Assessment of using EZ-Prog: an easy color schematic model for programming problem solving by Siti Nordianah Hai Hom, Hasnul Hadi Ibrahim, Abrizah Ibrahim, Mudiana Mokhsin, Corrienna Abdul Talib

“…The implications of this study indicate that EZ-Prog can be used in learning and teaching algorithms, especially programming problems. …”
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Evolutionary algorithm for forecastng mean sea level based on meta-heuristic approach by Lai, V., Ahmed, Ali Najah, Malek, Marlinda Abdul, El-Shafie, Ahmed, El-Shafie, Amr

“…Genetic Programming (GP) algorithm is an example of an evolutionary algorithm (EA) in the field of evolutionally computation (EC) and, more broadly, in Artificial Intelligence. …”
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Evolutionary algorithm for forecastng mean sea level based on meta-heuristic approach by Lai V., Ahmed A.N., Malek M.A., El-Shafie A., El-Shafie A.

“…Genetic Programming (GP) algorithm is an example of an evolutionary algorithm (EA) in the field of evolutionally computation (EC) and, more broadly, in Artificial Intelligence. …”

Standardizing and weighting the evaluation criteria of many-objective optimization competition algorithms based on fuzzy delphi and fuzzy-weighted zero-inconsistency methods by Salih, Rawia Tahrir

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Industrial Training Kit for Education by Ahmad Syahmi Naqiuddin Mohamad

A framework for a multi-layered security of an automated programming code assessment tool by Mohd Fadzli Marhusin, Kafli M.F.Z., Sulaiman R., Ismail S., Abdullah Z.H.

Cognitive benefits of employing multiple AI voices as specialist virtual tutors in a multimedia learning environment by Liew, Tze Wei, Tan, Su Mae, Chan, Tak Jie, Tian, Yang, Ahmad, Faizan

“…To address this gap, we draw on multimedia learning and cognitive models to investigate the effects of using multiple AI voices as specialist virtual tutors for distinct programming algorithm subtopics on cognitive load and learning outcomes. …”
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Analyzing surface settlement factors in single and twin tunnels : A review study by Huat, Chia Yu, Danial Jahed, Armaghani, Lai, Sai Hin, Hossein, Motaghedi, Panagiotis G., Asteris, Pouyan, Fakharin

“…The study underscores the importance of proper management of tunneling operations, including optimizing face pressure, to mitigate SS risks. Practical implications for practicing engineers include thorough site investigations, risk assessments and comprehensive monitoring programs. …”
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Bridging Mayer’s cognitive theory of multimedia learning and computational thinking in tackling the cognitive load issues among young digital natives : a conceptual framework by Wan Nor Ashiqin Wan Ali, Wan Ahmad Jaafar Wan Yahaya

“…This paper provides several implications and highlights for further studies through a comprehensive and wide-ranging literature review.…”
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Exploring the ethical dimensions of artificial intelligence and robotics in dental education by Sim, Galvin Siang Lin, Foo, Jia Yee, Goh, Shu Meng, Alam, Mohammad Khursheed

“…Professional development programs should prioritize ethics training, considering emerging technologies such as AI-powered learning and diagnostic assistance. …”
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Drowsiness detection and alert system using face recognition with Raspberry Pi / Nur Syazwina Mohd Fadzalisham, Nor Adora Endut and Muhammad Nizamuddin Rosli by Mohd Fadzalisham, Nur Syazwina, Endut, Nor Adora, Rosli, Muhammad Nizamuddin

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Drowsiness detection and alert system using face recognition with Raspberry Pi / Nur Syazwina Mohd Fadzalisham, Nor Adora Endut and Muhammad Nizamuddin Rosli by Mohd Fadzalisham, Nur Syazwina, Endut, Nor Adora, Rosli, Muhammad Nizamuddin

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Exploring the impact of social media utilization on perceived information overload: the mediating role of information disorder experiences by Masrek, Mohamad Noorman, Baharuddin, Mohammad Fazli, Heriyanto

“…These findings have practical implications for social media designers, policymakers, and educators. …”
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A concept paper on readiness in artificial intelligence (AI) mastery and its impact on 21st century pedagogy among pre-service history teachers by Arzizul Bin Antin, Dg Norizah binti Ag Kiflee Dzulkifli

“…Preliminary observations suggest that while awareness of AI is relatively high among pre-service teachers, there is limited understanding of its pedagogical applications and ethical implications. Key barriers include insufficient training, limited access to digital infrastructure, and lack of institutional support, alongside concerns about data privacy and algorithmic bias. …”
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