IEEE

Predictor-Based Adaptive Iterative Learning Control of MASs With Distributed Error Compensation

Abstract: This paper proposes an adaptive iterative learning control (AILC) scheme for multiagent systems (MASs) to improve the containment control performance. To deal with the uncertain nonlinearity ...
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
Governing

Can the Right Tech and Training Lower Mississippi’s SNAP Error Rates?

States will have to start paying a portion of SNAP benefit costs if their error rates exceed a level set in the One Big Beautiful Bill Act (OBBBA). Most states ...
Frontiers

Integrating Sustainable Material Performance and Project Success Factors: Insights from the Lebanese Construction Sector

The final, formatted version of the article will be published soon. The construction industry is undergoing a rapid transformation driven by the global urgency to minimize carbon emissions, improve ...
IEEE

Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer

Abstract: Deep learning-based approaches to metal artifact reduction have recently been proposed, yet these methods still struggle to effectively remove metal artifacts in head and neck computed ...
Hosted on MSN

Flow training that builds strength, grace, and flexibility

In this challenge, flow training builds strength, grace, and flexibility. Judge Delivers Final Blow to Trump Case Dozens of spouses detained during 'green card' interviews China has planted so many ...