Search Results - (( java implication based algorithm ) OR ( using game learning algorithm ))
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1
Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis
Published 2017“…This project is about developing a Dam Haji game using A* search algorithm. Dam Haji is an abstract strategy board game which played by two players. …”
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2
Autonomous Visual Navigation using Deep Reinforcement Learning: An Overview
Published 2019“…Reinforcement Learning (RL) algorithm with deep learning techniques helps to solve many complex problems of today's world, such as to play a video game and autonomous navigation in the robots using the raw image as an input. …”
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3
Autonomous Visual Navigation using Deep Reinforcement Learning: An Overview
Published 2019“…Reinforcement Learning (RL) algorithm with deep learning techniques helps to solve many complex problems of today's world, such as to play a video game and autonomous navigation in the robots using the raw image as an input. …”
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4
Enhancing programming language learning with 3D game-based programming for MSU students: codadventure / Abdullah Adib Aditia Wirawan and Nur Suhana Mohd Redzo
Published 2024“…The instructor's methodology also guides the students in teaching and learning programming language using the Logic Learning method in the game. …”
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5
Automating commercial video game development using computational intelligence
Published 2011“…Conclusion: Overall, the proposed algorithm has a very good performance with a high probability of automatically generating successful game AI controllers for the video game.…”
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6
Enhancing understanding of programming concepts through physical games
Published 2017“…We regularly discussed and improved on how the steps of the games should be executed especially regarding the sorting algorithm. …”
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Sentiment analysis on YouTube comments using machine learning techniques based on video games content
Published 2026“…The pre-processed data underwent classification using machine learning algorithms, including Naïve Bayes, Logistic Regression, and Support Vector Machine (SVM). …”
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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
Published 2022“…To this end, the researcher designed a quantitative study with a between subject design and aimed at implementing a treatment course using the problem-based SG. 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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10
Predicting Cheaters in PlayerUnknown’s Battlegrounds (PUBG) using Random Forest Algorithm
Published 2023“…The primary goal is to use the Random Forest algorithm, an effective machine learning technique, to predict instances of cheating based on the behavioural patterns of participants. …”
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11
Evolution strategies for evolving artificial neural networks in an arcade game
Published 2010“…The aim of this paper is to use a simple but powerful evolutionary algorithm called Evolution Strategies (ES) to evolve the connection weights and biases of feed-forward artificial neural networks (ANN) and to examine its learning ability through computational experiments in a non-deterministic and dynamic environment, which is the well-known arcade game called Ms. …”
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12
Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…Later, we investigate the game based-FQL algorithm by combining the game theoretic approach and the fuzzy Q-learning algorithm. …”
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13
Modeling a problem solving approach through computational thinking for teaching programming / Zebel Al Tareq
Published 2021“…The problem-based and the game-based programming workshops utilizing our problem-solving model using sorting algorithms were the experimental groups. …”
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14
Mapping Computational Thinking Skills Through Digital Games Co-Creation Activity Amongst Malaysian Sub-urban Children Sub-urban Children
Published 2022“…The empirical study has successfully produced a new checklist that can be used as a tool to describe the learning of CT skills when children co-create digital games. …”
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Automated bilateral negotiation with incomplete information in the e-marketplace.
Published 2011“…The MGT algorithm is useful to explore the properties of the Pareto-optimal offers. …”
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16
Distributed learning based energy-efficient operations in small cell networks
Published 2023“…Simulation results demonstrate improved performance in power consumption, load, sum rate, utility, learning rate, convergence, and energy efficiency for small base stations (SBSs) and user equipment (UEs) compared to four benchmarked algorithms, including WMMSE, game theory, Q-learning, and DRL. …”
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Improving Patient Rehabilitation Performance In Exercise Games Using Collaborative Filtering Approach
Published 2024journal::journal article -
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BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier
Published 2008“…This paper reports on the application of sequence analysis algorithms for agents in robotic soccer and a suitable representation is proposed to achieve this mapping.The objective of this research is to generate novel better in-game strategies with the aim of faster adaptation to the changing environment.A homogeneous non-communicating multi-agent architecture using the representation is presented.To achieve real-time learning during a game, a bucket brigade algorithm is used to reinforce Cellular Automata Based Classifier. …”
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Nature-Inspired cognitive evolution to play Ms. Pac-Man
Published 2011“…So far however, there has been little discussion about the effectiveness of the application of these models to computer and video games in particular. The focus of this research is to explore the hybridization of nature-inspired computation methods for optimization of neural network-based cognition in video games, in this case the combination of a neural network with an evolutionary algorithm. …”
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Immersive AR pet game with hand motion
Published 2023“…ManoMotion is a hand-tracking software that uses machine learning algorithms to track and recognise hand movements in real-time. …”
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Final Year Project / Dissertation / Thesis
