The proposed intelligent analysis method bridges high-fidelity modeling and computational efficiency. It uses an iterative algorithm to identify optimal mode shapes ...
The abundance analysis in the tutorial (https://github.com/soedinglab/MMseqs2/wiki/Tutorials#abundance-analysis) suggests mmseqs prefilter to be set at -s 2 since ...
Why predicting power behavior is getting harder for AI chips. Dynamic Power Analysis: Closing the pre- versus post-silicon gap. The massive complexity and computational needs of today’s most advanced ...
HOUSTON--(BUSINESS WIRE)--PROS Holdings, Inc. (NYSE: PRO), a leading provider of AI-powered SaaS pricing, CPQ, revenue management and digital offer marketing solutions, today announced that Lufthansa ...
Abstract: Predicting subsurface temperatures is critical for comprehending ocean dynamics and climate shifts. This study presents an incremental stable/dynamic (SD) disentanglement learning framework ...
At one time a relatively infrequent occurrence, voltage drop is now a major impediment to reliability at advanced nodes. Decades ago, voltage drop was only an issue for very large and high-speed ...
ABSTRACT: The quadrotor unmanned aerial vehicle is a great platform for control systems research as its nonlinear nature and under-actuated configuration make it ideal to synthesize and analyze ...
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