Multiple research fronts saw major advances on April 24, 2026, with AI models driving new capabilities in protein interaction prediction, automated protein design, and earthquake engineering ...
Federal, state, and local agencies are increasingly deploying AI to enhance wildfire suppression, disaster preparedness, and emergency communications. Applications range from predictive fire modeling ...
Enterprises are quickly discovering that their wireless infrastructure is the real barrier to AI readiness. To achieve true ...
Abstract: This article presents a more robust model predictive direct speed control based on the third-order extended state observer (RMPDSC-TESO) method for surface-mounted permanent magnet ...
Predictive maintenance fails not from bad models, but broken handoffs. Here's the integration architecture that closed the ...
Recent advances in hydrological science highlight the urgent need for robust and adaptive modeling approaches to support effective disaster management in ...
Predictive technologies require a more enlightened approach to decision-making. The unpredictability of significant life ...
It is being envisioned that the transition toward 6G networks would require a paradigm shift where in addition to the concept of "connected things" the ...
Abstract: Permanent magnet synchronous motors (PMSMs) are widely used in industrial applications. However, conventional finite-control-set model predictive control (FCS-MPC) often faces challenges in ...
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