The statistical supervised learning framework assumes an input-output set with a joint probability distribution that is reliably represented by the training dataset. The learner is then required to output a prediction rule learned from the training dataset. Unfortunately, most supervised...
This seminar presents a detailed thermomechanical comparison between fatigue pre-cracked and sharp-notched Ti-6Al-4V specimens under dynamic mode II loading. Using a single-point impact experiment, the response of these specimens was investigated through synchronized high-speed thermal and visual imaging. Frictional heating...
Effective robotic manipulation requires adaptability to varied objects and dynamic settings. Traditional rigid hands, while accurate, face limitations in cost, fragility, and control complexity. Underactuated, compliant hands offer a simpler, more adaptable alternative but introduce uncertainties in hand-object interactions. This...
Cryogenics is the science of producing and maintaining cold power at very low temperatures. The practical products of cryogenics are closed-cycle refrigerators, or "Cryocoolers" in short. There are several types of cryocoolers, the most common being the Stirling type cryocooler....
Urban canopies, with their heterogeneous heights, exhibit complex flow phenomena essential for understanding urban airflow dynamics. Our study employs implicit large eddy simulations (ILES) using the flux reconstruction method and the artificial compressibility approach in the PyFR open-source library. These...
As the need for sustainable, high-performance materials grows, creating eco-friendly alternatives to traditional composites has become increasingly critical. Renewable biomaterials, including bioplastics and natural fibers, offer a promising pathway toward sustainability. However, their incorporation in composites typically necessitates high-energy processing...