Abstract: The optimization of double wishbone suspension system is highly important for high performance vehicles, as such vehicles have specific needs in term of wheel control and also subject to ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...

How machine intelligence changes the rules of business by Marco Iansiti and Karim R. Lakhani In 2019, just five years after the Ant Financial Services Group was launched, the number of consumers using ...

Abstract: The advent of artificial intelligence (AI) has catalyzed transformative changes across diverse domains, establishing itself as a disruptive technology. Traditional methods often fall short ...

This is not deep RL: no agent training, no neural networks. RL is the motivation; the technical core is constrained nonlinear optimization. A Python solver suite emits a results.json artifact, and a ...

A buyer placing a year's order across several suppliers faces three coupled decisions where "cheapest" and "safest" pull in opposite directions: This project answers all three on one forecast: demand ...