Abstract: Machine learning (ML) with approximation and numerical simulations plays an important role in aircraft design. ML techniques, such as deep learning and reinforcement learning, are ...

The spelling crisis can't be fixed by relying on digital spelling tools. Credit: Ian Moore / Mashable Composite; J Studios / DigitalVision / FatCamera / E+ / Catherine Falls Commercial / Moment / ...

Comprehensive Logistics (CLI) is celebrating 30 years of delivering innovative, technology-driven inbound-to-manufacturing logistics solutions. Since its founding in 1995, CLI has evolved from ...

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Operations research (OR) and machine learning (ML) techniques, when used in isolation, are often inadequate for addressing complex optimization problems. While OR struggles with combinatorial ...

Cambridge, MA – Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is flowing to the right areas at the exact time when it is ...

Department of Chemical Engineering, School of Chemical and Materials Engineering, National University of Sciences and Technology, H-12, Islamabad 44000, Pakistan Department of Chemical Engineering, ...

In modern retail logistics, where distribution centers support omnichannel fulfillment strategies, the complexity of outbound pallet loads has surged. Mixed-SKU pallets—combining products that vary by ...