[HTML][HTML] Advanced Deep Learning Techniques for Battery Thermal Management in New Energy Vehicles
S Qi, Y Cheng, Z Li, J Wang, H Li, C Zhang - Energies, 2024 - mdpi.com
In the current era of energy conservation and emission reduction, the development of
electric and other new energy vehicles is booming. With their various attributes, lithium …
electric and other new energy vehicles is booming. With their various attributes, lithium …
[PDF][PDF] Ethical Considerations and Best Practices for Using Large Language Models in Decision-Making
A Saxena - International Journal of Science and Research (IJSR), 2024 - researchgate.net
Large language models (LLMs) like GPT-4 and BERT have revolutionized the way critical
sectors make decisions. Independent of the ability to train such models with multiple data …
sectors make decisions. Independent of the ability to train such models with multiple data …
AI-Enhanced Honeypots: Leveraging LLM for Adaptive Cybersecurity Responses
Honeypots have long been used as decoy systems to lure and study attackers, providing
valuable intelligence on emerging cybersecurity threats. However, with the increasing …
valuable intelligence on emerging cybersecurity threats. However, with the increasing …
Drug-likeness Prediction and Fragment Extraction using Transformer-based Graph Neural Network on Traditional Chinese Medicine Molecules
M Colangelo - 2024 - webthesis.biblio.polito.it
The use of Traditional Chinese Medicine spans thousands of years, yet its integration into
modern pharmaceutical research has been limited. A major challenge is the lack of …
modern pharmaceutical research has been limited. A major challenge is the lack of …
[PDF][PDF] Drug-likeness Prediction and Fragment Extraction using Transformer-based Graph Neural Network on Traditional Chinese Medicine Molecules
S Di Carlo - 2024 - webthesis.biblio.polito.it
Abstract The use of Traditional Chinese Medicine spans thousands of years, yet its
integration into modern pharmaceutical research has been limited [1]. A major challenge is …
integration into modern pharmaceutical research has been limited [1]. A major challenge is …