Dynamic optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a time-varying ...

A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...

Under the new quality productive forces, enterprise supply chain management is confronted with novel challenges and ...

Abstract: Motivated by a renewed interest in cis-lunar space vehicle operations and other Lunar missions, we consider how to make judicious use of the invariant manifolds associated with the periodic ...

Human-centric innovations, like virtual and augmented reality (VR/AR), IoT-driven adaptive systems, and genetic algorithms ...

Craft Bank Co., Ltd., a beer brewer in Kyoto Prefecture, and Yokogawa Digital Corp. reported Sept. 26 that they’ve proof ...

By implementing automated gas-lift systems, AI-powered pump response prioritization, and real-time process modeling, ...

Exploring the Future of Metabolic Optimization As we advance into 2026, the pursuit of optimal health and performance continues to evolve with the development of innovative metabolic optimization ...

The second article in a two-part series exploring how medium-sized mining operations can address the growing challenges of ...