Search Results - (( process using game algorithm ) OR ( java application using algorithm ))
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1
Network game (Literati) / Chung Mei Kuen
Published 2003“…Java applet is a well-known and widely used example of mobile code (a variation on the traditional client-server model). …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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Network monopoly / Tan Kean Yeap
Published 2002“…With the powerful networking features of Java, it is expected that this project would produce a "real" game engine. …”
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4
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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5
RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Provider independent cryptographic tools
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Monograph -
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Enhanced 3D terrain visualization process using game engine
Published 2018“…Furthermore, operating system resource needs to be used before it goes online. The main finding of this study is the new algorithm of enhancing 3D terrain visualization process using Unity3D game engine. …”
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9
Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game
Published 2015“…These problem can be solved using AI technology. Reinforcement is the process of strengthening an army and it is a crucial issue in gaming design as well. …”
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10
Artificial neural controller synthesis for TORCS
Published 2015“…NPC is an important factor in a game. Player can easily complete the game if the NPC used is too easy to be defeated. …”
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11
Application of minimax algorithm in dots and boxes game
Published 2025“…For the highest difficulty setting, an iterative deepening Minimax approach was utilized alongside a heuristic evaluation function that considers score difference and strategic board positions like chains and potential opponent scoring opportunities. The research process included designing and developing a functional Dots and Boxes game prototype using C# and the Universal Windows Platform (UWP), featuring a user-friendly interface and customizable settings. …”
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Final Year Project / Dissertation / Thesis -
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Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan
Published 2016“…In PSO algorithm, it solved the problem by using their own process such as particle initialization, evaluate fitness, convergence and other things. …”
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Student Project -
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A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming
Published 2014“…Evolutionary programming is the core Evolutionary Algorithm (EA) used in this study where it is hybridized with Interactive Evolutionary Algorithm (IEA) to generate different rulesets that was played on a custom arcade-type mobile game. …”
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Article -
14
Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
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Direct approach for mining association rules from structured XML data
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Real-Time Voice-Controlled Game Interaction using Convolutional Neural Networks
Published 2021“…Voice-controlled interaction made gaming much more accessible to a wider audience. However, the use of voice to control games requires real-time processing to avoid unwanted delay. …”
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Proceeding Paper -
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The impact of population size on knowledge acquisition in genetic algorithms paradigm: Finding solutions in the game of Sudoku
Published 2010“…Population size is an important component in genetic algorithms (GAs).The concept of population in GAs has contributed to a unique searching strategy which empower its search process through the massive volume of the data in a population.The purpose of this study is to see how the impact of population size on genetic algorithms in producing correct solution for a Sudoku puzzle.Sudoku is a Japanese number puzzle game that has become a worldwide phenomenon.The puzzle involves completing a grid of cells by assigning a single number to each cell.The numbers in a row or a column must consist of any one of the numbers from 1 to 9; no repetition is allowed.GA will be used to generate the correct solution of Sudoku puzzles.The mechanism to produce legal Sudoku grid will follow the requirements needed and meet all the constraints.A fitness function is designed to evaluate legal grids and GA will be tested for performance and time efficiency.The challenges lie on how GA will represent a Sudoku grid in the process and the effectiveness of its operators such as crossover and mutation.The results show how different population size can produce different solutions.The best performance is observed at 500 population size.The paper will conclude with an insight of this value and its significance to the knowledge acquisition in GA paradigm..…”
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Online Game Outcome Prediction Model Using Weighted-Based Feature Approach
Published 2024“…The data preparation process includes a weighted algorithm calculation and then evaluation using Naïve Bayes and Support Vector Machine algorithm. …”
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Predicting game-induced emotions using EEG, data mining and machine learning
Published 2024“…Most of the recent studies using the Gameemo public dataset have not clarifed the relationship between the EEG signal’s changes and the emotion elicited using computer games. …”
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Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach
Published 2024“…To address the limitations of uncovering an optimized continuous-time Hammerstein model, researchers have explored the practical application of the Augmented Sine Cosine Algorithm-Game Theoretic (ASCA-GT). By combining the Game Theoretic (GT) and Sine Cosine Algorithm (SCA), this hybrid approach aims to achieve a nonlinear position-updated process for improved exploration and exploitation, while effectively overcoming issues like local optima trapping. …”
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