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

To develop the most appropriate control strategy and monitor, maintain, and evaluate the
traffic performance of the freeway weaving areas, state and local Departments of …

Current techniques for deep neural network (DNN) pruning often involve intricate multi-step
processes that require domain-specific expertise making their widespread adoption …

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 …

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 …

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

Urban transportation networks are vital for the efficient movement of people and goods,
necessitating effective traffic management and planning. An integral part of traffic …