This is an instance-based self-adaptive scale fusion implementation built on PyTorch. In ./model/adaptiveScaleFusion.py, hybrid weights are assigned across two instance scales, and the method has been ...

Li, H. (2026) A Study on the Impact of New Media on College Students’ Oral English Learning —Taking English Content Creators on Bilibili as an Example. Open Access Library Journal, 13, 1-18. doi: ...

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

"The ChatGPT moment for physical AI is here — when machines begin to understand, reason, and act in the real world," Nvidia ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

Abstract: Brain-computer interface (BCI) technology is emerging as a valuable tool for diagnosing and treating epilepsy, with deep learning-based feature extraction methods demonstrating remarkable ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Background: Histopathology images are critical for medical diagnosis, e.g., cancer and its treatment. A standard histopathology slice can be easily scanned at a high resolution of, say, 200, 000 × 200 ...

Abstract: Deep learning models have achieved remarkable performance in image classification tasks, but their black-box nature limits their applications in high-security domains. This paper proposes a ...