When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some ...

Quantum Hermite transform is a new quantum algorithm that could improve AI, simulations, and future quantum computing ...

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

This requires an algorithm: students are taught to stack one number atop another and multiply each digit of the bottom number ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one ...

Abstract: This article presents an approximation algorithm for a Task Allocation, Sequencing and Scheduling Problem (TASSP) involving a team of human operators and robots. The robots have to travel to ...

1 Department of Industrial and Production Engineering, Basaveshwar Engineering College, Bagalkot, India. 2 Basaveshwar Engineering College, Bagalkot, India. 3 Gogte Institute of Technology, Belagavi, ...