Search Results - (( variable activation function algorithm ) OR ( ais implementation using algorithm ))
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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Application of minimax algorithm in dots and boxes game
Published 2025“…The methodology involved implementing the Minimax algorithm as the primary decision-making engine for the AI. …”
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Final Year Project / Dissertation / Thesis -
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Car dealership web application
Published 2022“…In this project, a web application and a web service were proposed and implemented. The used car dealership web application was implemented with ASP.NET Core. …”
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Active intelligent control of vibration of flexible plate structures
Published 2011“…The approach is realised within SISO and SIMO AVC structures using RCGA, PSO and AIS algorithms. These are implemented on the flexible plate structure with various disturbance signals. …”
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Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing
Published 2011“…Recently, researchers have started to explore the use of Artificial Intelligence (AI)-based algorithms as t-way (where t indicates the interaction strength) and variable-strength testing strategies. …”
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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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Application of machine learning and artificial intelligence in detecting SQL injection attacks
Published 2024“…The main aim of this work is focusing on solving the IT-related challenge lack-of-adequate knowledge bases and tools for security practitioners to monitor and mitigate SQL Injection attacks with AI/ML techniques. The study uses a mixed-methods approach to evaluate how well different AI and ML algorithms identify SQL injection attacks by combining algorithmic evaluation with empirical investigation. …”
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AI recommendation penetration testing tool for SQL injection: linear regression
Published 2025“…Based on this, the research employ a linear regression technique in the AI penetration testing. This technique involves the development and implementation of an algorithm designed to improve the efficiency of security evaluations by suggest the suitable penetration testing tools. …”
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Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…The weights and biases generated through the training process is depended on the training algorithm, initial weights and biases for training and the dataset used in the process. …”
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Monograph -
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The Implementation of Genetic Algorithm in Path Optimization
Published 2005“…In this project, TSP will be used to model and easy visualize the path optimization problem and Genetic Algorithm (GA) was chosen to be implemented in resolving the problem. …”
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Final Year Project -
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Processing time estimation in precision machining industry using AI / Lim Say Li
Published 2017“…Neural Network (NN) model is chosen as the artificial intelligence approach used in this research. Levenberg-Marquardt algorithm is used as the training algorithm. …”
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Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman
Published 2012“…A variety of automatic knowledge acquisition or learning and adaptation concepts need to be established in speech recognition using AI approaches. These key concepts can only be implemented using artificial neural networks (ANNs) approach. …”
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Book Section -
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Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations
Published 2022“…The RBFNN model with softmax as the hidden layer activation function and identity as the outer layer activation function has the least predictive performance, as indicated by an R2 of 0.403 and a RMSE of 301.55. …”
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…AI algorithms rely on data or information to learn, analyze, and reach conclusions. …”
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…AI algorithms rely on data or information to learn, analyze, and reach conclusions. …”
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Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement
Published 2016“…Utilization of soft-computing algorithms in the operation of Shunt Active Power Filters (SAPFs) becomes a latest trend. …”
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