Abstract: In this article, the problem of autonomous vehicle trajectory optimization with flexible final time is concerned under the consideration of stochastic disturbances. Stochastic differential ...

Abstract: dynamic flexible job shop scheduling (DFJSS) is a critical combinatorial optimization problem known for its dynamic nature and flexibility of machines. Traditional scheduling methods face ...

Hydrogels—soft, water-rich polymer networks—have evolved far beyond their early biomedical uses. By integrating dynamic ...

Smart Home Assistant integration for heat pump optimization based on electricity price and temperature. Developed a reinforcement learning framework using Deep Q-Networks (DQN) to optimize scheduling ...

A Python high-frequency intraday trading engine for simulating the rolling intrinsic strategy on the European market, solved as a dynamic program. See our paper (tbd, Schaurecker & Wozabal et al.

Omnicom Media, an Omnicom (NYSE: OMC) connected capability, and NBCUniversal have co-developed a new solution to bring greater contextual intelligence and creative relevance to CTV advertising. The ...

Organic traffic is down, but one marketer says revenue is up. This AEO dissection unpacks why fewer site visits might mean ...

The radio broadcast “air chain” is rapidly evolving from a linear, hardware-defined signal path into a flexible, software-driven ecosystem.

This transition moves inventory planning away from static safety stock rules toward more flexible policy structures that ...

This year marks the 11th annual awarding of the Wood Industry 40 Under 40 by Woodworking Network, celebrating the next generation of industry professionals who are making an impact on North American ...