The Francis College of Engineering, Department of Mechanical Engineering, invites you to attend a Doctoral Dissertation defense by Elyas Irankhah on: "Machine Learning and Causal Inference for ...

Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

Aligned with Duke Engineering’s Character Forward initiative, Professor Siobhan Oca’s Ethics in Robotics and Automation course (ME 490) challenges students to see beyond technical skills and practice ...

It is an art of mechanical genius, a gun that does not simply shoot, but plays a symphony of accuracy and control, and ...

Two machines resembling robotic vacuum cleaners sped around a ring colliding, shooting sparks and catching fire, as Iranian ...

Advanced Display and Control Architecture Accelerates Industrial Product Design NTX Embedded, a leader in embedded display and control solutions, today announced the launch of its Octolux® Industrial ...

What started as a packet of old blueprints has now turned into a fully functioning solar-powered table on UC Santa Barbara’s campus — the result of two years of persistence, problem-solving and ...

Hypersonic vehicles — aircraft that can reach speeds of Mach 5 and beyond — are subject to extreme conditions while they are in flight, requiring strong yet aerodynamic materials to keep them both ...

Machine Design’s Motion Systems Takeover Week mapped advances driving faster, smarter engineering in hardware (kinematics) ...

Abstract: Automated feature engineering (FE) has gained considerable attention in academia and industry. Nevertheless, existing systems often lack practical scalability and efficiency. This article ...

Human-machine interfaces (HMIs) facilitate interaction between a human operator and a machine, allowing users to control machinery and receive feedback while ensuring smooth and efficient operation.

Abstract: With the rapid advancement of technology and the increasing demand for user-centric products, the integration of machine learning techniques has become imperative. This paper explores the ...