Master Thesis: Building an Uncertainty-Robust Reinforcement Learning-based model for UAV self-separation under Uncertainty ...
MATLAB courses explain programming, simulations, and data analysis used in engineering and research work.Online platforms and ...
Engineers know that energy modeling is a moving target. Trying to both design sustainable buildings and meet more-stringent government and client-imposed clean energy and carbon reduction goals has ...
The Modelling-Informed Medicine Centre will create computer models or digital twins of organs and diseases to better understand how diseases of the lungs, liver, and kidneys progress, to discover and ...
In physical systems where errors carry tangible consequences, AI creates value through reliability and first-time-right performance.
A Coma Pattern-Based Autofocusing Method Resolves Bacterial Cold Shock Response at Single-Cell Level
Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...
As vehicle architectures evolve toward centralized and software-defined systems, automotive developers require flexible toolchains that support heterogeneous hardware platforms, modern programming ...
This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.
Collaboration supports engineers building AI models in MATLAB and PyTorch, integrating them into system simulations, and deploying to embedded devices .
This project will develop universally lithium-selective polymer-based membranes through bottom-up molecular design to process-scale modelling, enabling efficient lithium recovery across diverse feed ...
Abstract: Motor efficient design is an important measure to reduce the energy consumption of servo motor system. Existing methods typically focus on optimizing the efficiency at specific operating ...
Abstract: This article investigates the robust fault estimation (FE) scheme for a class of discrete-time nonlinear dynamics subject to simultaneous bounded disturbances, sensor and actuator/process ...
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