This repository contains a comparative study of various optimization algorithms for task scheduling in fog computing environments, focusing on energy efficiency, response time, deadline satisfaction, ...

This project presents a comparative study and implementation of control system techniques for regulating the speed of a DC motor. The primary focus is the ...

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

As vehicle architectures evolve toward centralized and software-defined systems, automotive developers require flexible toolchains that support heterogeneous hardware platforms, modern programming ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...

Abstract: Optimization algorithms are widely employed to tackle complex problems, but designing them manually is often labor-intensive and requires significant expertise. Global placement is a ...

Xiang Li is currently an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University. She received her Ph.D. degree from the University of Florida. Her research ...

Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy technology, and design and implementation of technical systems. The strength of our school lies ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...