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Titlebook: Computational Intelligence in Machine Learning; Proceedings of the 2 Vinit Kumar Gunjan,Amit Kumar,Sri Niwas Singh Conference proceedings 2

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Strategien zur Bewahrung von WissenDigital Twin technology and explore the opportunities of twins protecting themselves. Additionally, we look at the implementation of Secure Software Development Life-Cycle (SSDLC) on Digital Twins and Cyber Physical Systems for mitigating the proposed risks from the very roots.
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Management des Organisationsgedächtnissesature set. After feature selection, machine learning–based classifiers retain a classification accuracy of more than 94 percent despite operating on a significantly smaller feature dimension, reducing computing cost of learning classifiers.
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,Cyber-Attacks and Anomaly Detection in Networking Based on Deep Learning—A Survey, traffic detection framework. In this paper, different machine learning algorithms were studied in detecting the anomalies and cyber-attacks in network and to identify the problem in existing solutions.
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Hate Text Finder Using Logistic Regression,f disputes due to aspiration freedom abuse in social media. In this project, we developed a social blog to demonstrate this entire process and it shows good results. We are testing that whether the post contains offensive content or not at the time of posting itself.
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Power Quality Enhancement with PSO-Based Optimisation of PI-Based Controller for Active Power Filteit comes to nonlinear optimisation issues, PSO is one of the most popular solutions. The triggering pulses for the IGBT in the inverter are generated by a hysteresis current regulator, which is also a part of the system.
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Secure Software Development Life Cycle: An Approach to Reduce the Risks of Cyber Attacks in Cyber PDigital Twin technology and explore the opportunities of twins protecting themselves. Additionally, we look at the implementation of Secure Software Development Life-Cycle (SSDLC) on Digital Twins and Cyber Physical Systems for mitigating the proposed risks from the very roots.
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