Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...

Abstract: Data normalization is a fundamental part of preprocessing in decision-making problems. It enables aggregating and comparing different decision attributes using Multi-Criteria Decision Making ...

1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia 2 All-Russian Institute of Plant Protection, Saint Petersburg, Russia However, despite rapid methodological advances, ...

Research in self-supervised learning (SSL) with natural images has progressed rapidly in recent years and is now increasingly being applied to and benchmarked with datasets containing remotely sensed ...

1 School of Physics, Changchun University of Science and Technology, Changchun, China 2 Engineering Tech, R&D Center Changchun Guanghua College, Changchun, China This study overcomes the limitations ...

Some format handlers modify input text (e.g., encoding fixes, page joins), but line numbers used for insights are computed before normalization. This causes mismatches between reported lines and ...

PEN America's report found 6,870 instances of book bans in 2024 and 2025. Books bans in public schools have become a "new normal" in the U.S., escalating since 2021, according to one advocacy group.

Hi, great tool btw! I had a question, in your preprocessing step, before sending the image to the dinov2 encoder, I see that generate_features brings the image back to 0-255 RGB space. Why is that? I ...