过去一年中添加的文章，按日期排序
Emerging Technologies for Privacy Preservation in Energy Systems
U Cali, SNG Gourisetti… - European …, 2024 - dl.acm.org
15 天前 - … -level technologies such as Electric Vehicles or Advanced … data analysis, where
machine learning models are trained … for the energy sector, this study aims to contribute to the …
machine learning models are trained … for the energy sector, this study aims to contribute to the …
Learning and Unlearning to Operate Profitable Secure Electric Vehicle Charging
S Lee, DH Choi - IEEE Transactions on Industrial Informatics, 2024 - ieeexplore.ieee.org
22 天前 - … To this end, various data-driven machine learning … features, this study aims to
develop a learning and unlearning … of the proposed privacypreserving MuL method based on the …
develop a learning and unlearning … of the proposed privacypreserving MuL method based on the …
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
56 天前 - … to the emergence of Tiny Machine Learning (TinyML) as a … , and transfer learning
for privacy preservation. On the … this paper includes a case study on using TinyML in EVCI …
for privacy preservation. On the … this paper includes a case study on using TinyML in EVCI …
… -Resilient Economical Operation Strategy Based on Federated Deep Reinforcement Learning for Multiple Electric Vehicle Charging Stations Considering Data Privacy
B Feng, H Xu, G Huang, Z Liu, C Guo… - Journal of Modern …, 2024 - ieeexplore.ieee.org
76 天前 - … preserving data privacy and defending against Byzantine attacks. Therefore, this
paper proposes the byzantine-resilient federated deep reinforcement learning (… The case study …
paper proposes the byzantine-resilient federated deep reinforcement learning (… The case study …
Computational Methods for Sustainable Mobility-Interpretation and Prediction of Tracking Data using Graphs and Machine Learning
H Martin - 2023 - research-collection.ethz.ch
191 天前 - … Furthermore, it also includes a study showing that owners of battery electric
vehicles can meet most of their charging demand using power generated from their own rooftop …
vehicles can meet most of their charging demand using power generated from their own rooftop …
Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
195 天前 - … The research contributions of this study encompass a … real-world implementation,
the study emphasizes the crucial yet … from self-driving electric vehicles navigating city streets to …
the study emphasizes the crucial yet … from self-driving electric vehicles navigating city streets to …
[HTML][HTML] Using fine-tuned large language models to parse clinical notes in musculoskeletal pain disorders
237 天前 - … In contrast, deep learning uses neural … study, provided critical feedback, approved
the final draft, and had final responsibility for the decision to submit for publication. This study …
the final draft, and had final responsibility for the decision to submit for publication. This study …
UAV-Assisted IoT Applications, Cybersecurity Threats, AI-Enabled Solutions, Open Challenges With Future Research Directions
293 天前 - … Therefore, in this paper, we provide a comprehensive survey … a detailed survey
regarding machine learning techniques … summarized different machine learning techniques that …
regarding machine learning techniques … summarized different machine learning techniques that …