Experiments at Lawrence Livermore National Laboratory's National Ignition Facility (NIF) require breathtaking precision. Each ...

Pre-trained vision foundation models (VFMs), such as DINO and CLIP, provide strong transferable semantic representations. However, their patch-level features are usually spatially coarse because ...

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Understanding how machines interpret visual information starts with two fundamental concepts in image processing: convolution and correlation. These techniques are often mentioned in textbooks, but ...

This paper examines the conditions for the existence and nonexistence of positive solutions to a class of nonlinear Riemann-Liouville fractional boundary value problems of order α+2n, where α∈(m−1,m] ...

In in situ capturing-based spatial transcriptomics, spots of the same size and printed at fixed locations cannot precisely capture the randomly-located single cells, therefore inherently failing to ...

Intestinal parasitic infections (IPIs) caused by protozoan and helminth parasites are among the most common infections in humans in low-and-middle-income countries. IPIs affect not only the health ...

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Accurate detection and segmentation of the object fruit is the key part of orchard production measurement and automated picking. Affected by light, weather, and operating angle, it brings new ...

Some real life examples of problem solving for your #smallbusiness or #midsizebusiness that 90% of the time translates to more profit, how to begin by asking questions to coming up with the problem, ...

In this paper, a hybrid deep neural network scheduler (HDNNS) is proposed to solve job-shop scheduling problems (JSSPs). In order to mine the state information of schedule processing, a job-shop ...