Search Results - (( evolution classification parallel algorithm ) OR ( program implication _ algorithm ))
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Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm
Published 2011“…Artificial Neural Network (ANN) is a new information processing system with large quantity of highly interconnected neurons or elements processing parallel to solve problems.Recently, evolutionary computation technique, Artificial Fish Swarm Algorithm (AFSA) is chosen to optimize global searching of ANN.In optimization process, each Artificial Fish (AF) represents a neural network with output of fitness value.The AFSA is used in this study to analyze its effectiveness in enhancing Multilayer Perceptron (MLP) learning compared to Particle Swarm Optimization (PSO) and Differential Evolution (DE) for classification problems.The comparative results indeed demonstrate that AFSA show its efficient, effective and stability in MLP learning.…”
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Virtual Reality in Algorithm Programming Course: Practicality and Implications for College Students
Published 2024“…Virtual Reality in Algorithm Programming Course: Practicality and Implications for College Students by Hafizul Fahri bin Hanafi…”
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Recognizing complex human activities using hybrid feature selections based on an accelerometer sensor
Published 2017“…Wearable sensor technology is evolving in parallel with the demand for human activity monitoring applications. …”
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A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
Published 2014“…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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Assessment of using EZ-Prog: an easy color schematic model for programming problem solving
Published 2020“…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
Published 2018“…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
Published 2023“…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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Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows
Published 2026“…This research holds significant implications for the fields of Communication, Radio, and Television, as it enhances content moderation strategies in emotionally charged programming through intelligent cross-media data fusion.…”
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Selective exposure in the digital age: a systematic review of the mechanisms, contexts, and sociopsychology implications for media ecosystems(2013-2023)
Published 2025“…This study shows the relevance of selective exposure research for the understanding of media behaviors, cognitive processes, and sociopolitical dynamics for future research as well its implications as sensitive to media literacy programs and policy interventions. …”
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A framework for a multi-layered security of an automated programming code assessment tool
Published 2024journal::journal article -
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Cognitive benefits of employing multiple AI voices as specialist virtual tutors in a multimedia learning environment
Published 2025“…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
Published 2024“…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
Published 2022“…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
Published 2024“…Professional development programs should prioritize ethics training, considering emerging technologies such as AI-powered learning and diagnostic assistance. …”
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