Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...
Abstract: Sphere decoding (SD) can achieve the maximum-likelihood performance for short polar codes. However, the hardware architecture of the SD algorithm devoted to short polar codes has seldom been ...
Abstract: Approximately 30% of stage II and 70% of stage III colorectal cancer (CRC) patients suffer postoperative recurrence owing to delayed diagnosis. However, Existing diagnostic ap proaches, ...
Abstract: Power flow analysis is a cornerstone of power system planning and operation, involving the solution of nonlinear equations to determine the steady-state operating conditions of the power ...
The Community Resource Center of Stanwood-Camano partnered with Snohomish and Island counties Tuesday, Jan. 27, to conduct the annual Point-in-Time Homeless Count at the CRC’s Little Green House.
Abstract: Guessing random additive noise decoding (GRAND) is a noise-centric universal algorithm that is suitable for linear block codes. Using the guessing decoding independence of GRAND-Markov order ...
Official PyTorch implementation of the paper ''A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration'' accepted by NeurIPS 2024 as poster. We present a ...
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