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Found 7 papers, 0 papers with code
Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling
In this work, we introduce an enhanced approach for DDoS attack detection by leveraging the capabilities of Deep Residual Neural Networks (ResNets) coupled with synthetic oversampling techniques.
A Decentralized Cooperative Navigation Approach for Visual Homing Networks
Visual homing is a lightweight approach to visual navigation.
Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis
Mitigating Denial-of-Service (DoS) attacks is vital for online service security and availability.
Explainable Artificial Intelligence for Drug Discovery and Development -- A Comprehensive Survey
This review article provides a comprehensive overview of the current state-of-the-art in XAI for drug discovery, including various XAI methods, their application in drug discovery, and the challenges and limitations of XAI techniques in drug discovery.
Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques
We also discuss the technical details related to the automatic driving comfort system, the response time of the AV driver, the comfort level of the AV, motion sickness, and related optimization technologies.
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks
Many state-of-the-art ML models have outperformed humans in various tasks such as image classification.
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
In this paper, we provide a comprehensive overview of different aspects of AI and Big Data in Industry 4. 0 with a particular focus on key applications, techniques, the concepts involved, key enabling technologies, challenges, and research perspective towards deployment of Industry 5. 0.
