The proposed shift of the National Eligibility-cum-Entrance Test (NEET) from a single-session pen-and-paper (PnP) examination to multi-session computer-based testing (CBT) is primarily driven by ...

The Graduate Aptitude Test in Engineering (GATE) scores and raw marks show sharp extremes in candidates’ performances across disciplines. In 2025, Computer Science and Information Technology (CS) ...

ABSTRACT: Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy ...

An overview of the proposed GraFIQs for assessing the quality of unseen testing samples. Sample I is passed into the pretrained face recognition model and Batch ...

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Abstract: We prove normalization for (univalent, Cartesian) cubical type theory, closing the last major open problem in the syntactic metatheory of cubical type theory. Our normalization result is ...

Sensory neurons must remain selective for specific features in a scene, even when many stimuli fall within their receptive fields (RFs). In natural vision, this selectivity is preserved by a process ...

Abstract: Convolutional neural networks are fundamental to deep learning, especially in computer vision. However, their computational demands, particularly during batch normalization, create ...

Recent college graduates are having a harder time finding work, despite their higher education degrees, which usually give job-seekers a leg up in the labor market. That's according to a new report ...

Ambient lighting normalization is an important computer vision task that aims to remove shadows and standardize illumination across an entire image. While previous approaches have primarily focused on ...

Histopathological images provide crucial information for understanding diseases and their effects at the cellular level 1. Staining techniques significantly highlight and enhance the contrast of ...