Search Results - (( intelligence ai testing algorithm ) OR ( intelligence system shell algorithm ))
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Active intelligent control of vibration of flexible plate structures
Published 2011“…In this work active intelligent control comprises a set of control techniques based on particle swarm optimisation (PSO), real coded genetic algorithm (RCGA) and artificial immune system (AIS). …”
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Prediction of Optimum Cutting Conditions in Dry Turning Operations of S45C Mild Steel using AIS and PSO Intelligent Algorithm
Published 2014“…The results predicted by AIS and PSO were compared with the experimental values derived from the testing data set. …”
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Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
Published 2020“…The precision of Artificial Intelligence (AI) models can be improved by using hybrid AI models which consist of coupled models. …”
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Transform of Artificial Immune System algorithm optimization based on mathematical test function
Published 2023Conference Paper -
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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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A kidney algorithm with elitism for combinatorial testing problem
Published 2020“…Adopting Artificial Intelligence (AI) algorithms as the main algorithm for CIT strategies to generate the most optimal test lists. …”
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Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…One of the solution for the problem is to create an Artificial Intelligent (AI) cart follower. Therefore, this research is to create an AI system for the AI cart follower with a visual based sensor. …”
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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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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing
Published 2022“…The proposed AI algorithm integrates two deep learning models which are object detection algorithm and reinforcement learning. …”
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Students’ perceptions towards the ethical considerations of using artificial intelligence algorithms in clinical decision-making
Published 2024“…Abstract Aim: The present study aimed to explore the perceptions of dental students regarding the ethical considerations associated with the use of artificial intelligence (AI) algorithms in clinical decision-making. …”
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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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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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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…This knowledge is then converted into computer program or by utilizing exhaustively trained and tested Artificial Intelligence (AI) algorithm. With these methods of development, prior to deployment the system must be prepared to handle all unanticipated circumstances that will occur during deployment. …”
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Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game
Published 2015“…After that, a bi-objectives algorithm is tested for comparing purposes and this contributed for the next two sub-objectives that is 3) to test the feasibility for implementing the PDE hybrid FFNN. 4) to compare single objective and multi-objective optimization algorithms performances. …”
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Artificial Intelligence (AI) to predict dental student academic performance based on pre university results
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Chaos search in fourire amplitude sensitivity test
Published 2012“…Work in Artificial Intelligence (AI) often involves search algorithms. In many complicated problems, however, local search algorithms may fail to converge into global optimization and global search procedures are needed. …”
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Chaos Search in Fourier Amplitude Sensitivity Test
Published 2012“…Work in Artificial Intelligence (AI) often involves search algorithms. In many complicated problems, however, local search algorithms may fail to converge into global optimization and global search procedures are needed. …”
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