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ICS cyber attack detection with ensemble machine learning and DPI using cyber-Kit datasets
Published 2021“…Digitization has pioneered to drive exceptional changes across all industries in the advancement of analytics, automation, and Artificial Intelligence (AI) and Machine Learning (ML). …”
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Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin
Published 2023“…For instance, in healthcare, AI algorithms can analyze medical images for early disease detection. …”
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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…The idea is proposed in effort of accessing the functionality of the proposed algorithm to improve the smoothness of traffic flow in a network. …”
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AI recommendation penetration testing tool for SQL injection: linear regression
Published 2025“…This project addresses to the urgent need for enhanced security assessments by incorporate artificial intelligence (AI) into penetration testing. This approach is essential because of the evolving landscape of cyber threats and the continuous advancement of technology. …”
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WiMAX Traffic Forecasting Based On Artificial Intelligence Techniques
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A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…A thematic analysis of 40 peer-reviewed articles was conducted using ATLAS.ti, revealing three dominant research themes: intelligent algorithms, building performance simulation techniques, and adaptive design for climate change. …”
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Bat algorithm and neural network for monthly streamflow prediction
Published 2023“…The applications of artificial intelligence (AI) have been proved to have better performance as compared to conventional statistical method in streamflow prediction. …”
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Application of phi (Φ), the golden ratio, in computing: a systematic review
Published 2024“…This article systematically examines φ’s diverse applications in computing, focusing on its role in enhancing visual appeal, optimizing algorithms, system design, and influencing fields such as biometrics, machine intelligence, and engineering. …”
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Empirical modeling of hydrate formation prediction in deepwater pipelines
Published 2016“…The petroleum industry spends millions of dollars yearly to minimize the effects of hydrate formation on flow assurance. In this scenario, on the basis of experimental data from Sloan and Avlonits work, an artificial intelligence (AI) for methane gas hydrate of deepwater gas pipelines has been developed. …”
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