Neural networks have emerged as powerful tools in cybersecurity, offering advanced
capabilitiesfor anomaly detection and prevention in complex and dynamic network …

This analysis provides a preliminary exploration of the potential use of Generative AI (GenAI)
by evaluating the summarization ability of what we consider to be some of the most popular …

In the rapidly evolving landscape of e-commerce, scalability stands as a paramount concern
forbusinesses striving to accommodate exponential growth, fluctuating demands, and …

In the rapidly evolving e-commerce landscape, real-time data processing has become
crucial forenhancing customer experiences and optimizing business operations. This paper …

Reinforcement Learning (RL) is emerging as a critical component in the developmentof
dynamic cyber defense strategies. As cyber threats become increasingly sophisticated …

Mobility analysis is a crucial element in the research area of transportation systems.
Forecasting traffic information offers a viable solution to address the conflict between …

Predicting condition monitoring signals has become a critical task for health status
assessment and monitoring of industrial systems. It is crucial to incorporate correlated …

Future intelligent robots are expected to process multiple inputs simultaneously (such as
image and audio data) and generate multiple outputs accordingly (such as gender and …

Various parameter-efficient fine-tuning (PEFT) techniques have been proposed to enable
computationally efficient fine-tuning while maintaining model performance. However …

Precise crop yield predictions are of national importance for ensuring food security and
sustainable agricultural practices. While AI-for-science approaches have exhibited …