[PDF][PDF] Strengthening smart grid cybersecurity: An in-depth investigation into the fusion of machine learning and natural language processing

RK Jha - Journal of Trends in Computer Science and Smart …, 2023 - researchgate.net
Smart grid technology has transformed electricity distribution and management, but it also
exposes critical infrastructures to cybersecurity threats. To mitigate these risks, the …

A survey of research on several problems in the RoboCup3D simulation environment

Z Gao, M Yi, Y Jin, H Zhang, Y Hao, M Yin, Z Cai… - Autonomous Agents and …, 2024 - Springer
In the process of robot research and development, due to the vulnerability of hardware,
simulation environment is often used to verify and test algorithms first. RoboCup3D …

Cooperative Encirclement Strategy for Multiple Drones Based on ATT-MADDPG

Y Wang, T Zhu, Y Duan - 2023 IEEE 6th International …, 2023 - ieeexplore.ieee.org
Aiming to address the challenges related to robustness, adaptability, and cooperative
performance in the context of multi-drone cooperative encirclement of airborne evasive …

Intelligent Caching and Offloading Technique for Dew-assisted Mobile IoTs: A Distributed Deep Reinforcement Learning Framework

A Mahapatra, R Pradhan, SK Majhi, K Mishra - 2024 - researchsquare.com
Cloud computing including mobile IoT devices infrastructure have grown to be a key
component of future high-performance computing networks because they can supply …

A Quantitative Portfolio Management Method with Machine Learning Optimization Algorithm

J Cui - Proceedings of the 5th International Conference on …, 2024 - eudl.eu
In financial trading, an effective trading strategy is key to determining profit and loss. Due to
the complexity and dynamics of financial markets, the automated selection of trading …

Towards novel financial risk prediction method with machine learning model

K Xiong - Highlights in Business, Economics and Management, 2024 - drpress.org
Among the multiple risks faced by enterprises, financial risk is particularly prominent in the
big data environment. Serious data imbalance has become a major challenge in the …