CISOs must prepare for AI-powered cyberattacks as Anthropic's Mythos speeds up vulnerability discovery and exploitation, ...
Better healthcare outcomes and lower costs begin with subtraction, not addition. Here's why less is more when it comes to ...
CivicScience engages directly with consumers, collecting over one million survey responses daily, to turn real-time insights ...
Abstract: In recent years, several deep learning techniques have been applied to the problem of seismic facies segmentation. However, there is a lack of an authoritative protocol for evaluating such ...
ABSTRACT: Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency ...
Hello, I am currently working on a thorough benchmark for Rust FM-Indices. I am including the library AWRY, which uses sufr to construct the suffix array. I got a segmentation fault when running the ...
Abstract: We address the problem of agricultural image segmentation by introducing a novel loss formulation called Adaptive Select Loss (ASL), inspired by the Top-k loss strategy. While Top-k loss was ...
Some readers are fed up with me! “Don’t guilt trip me” is a refrain I heard from many readers of my recent columns from West Africa and South Sudan about children dying because of cuts in American ...
U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...
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