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 ...

Abstract: In the field of computational pathology, multiple instance learning (MIL) has become a critical modeling framework for analyzing gigapixel whole-slide images (WSIs). Data scarcity, ...

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: ...

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

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 ...