Abstract: Despite the significant success of deep learning in computer vision tasks, cross-domain tasks still present a challenge in which the model’s performance will degrade when the training set ...

With supply chain inventory normalization largely complete, Sonix Technology (Sonix) has seen business momentum recover. The MCU supplier is benefiting from resilient demand for microcontrollers used ...

Following the release of the CUET UG 2026 results, many students have raised questions regarding the normalization process.

Officials say the language shift will curb the "normalization" of LGBTQ identity, while rights groups warn it will fuel discrimination.

Attackers can chain three already fixed vulnerabilities in the Ubiquiti UniFi OS server to execute remote code with root privileges and without authentication. The security issues are tracked as ...

The Staff Selection Commission is conducting one of the country's largest recruitment drives through the SSC GD Constable 2026 examination. The selection process is being carried out to fill 25,487 ...

Emily Long is a freelance writer based in Salt Lake City. After graduating from Duke University, she spent several years reporting on the federal workforce for Government Executive, a publication of ...

Abstract: With the advent of computer-assisted diagnosis (CAD), the accuracy of cancer detection from histopathology images is significantly increased. However, color variation in the CAD system is ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...

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 ...

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ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...