Abstract: Knowledge distillation has emerged as a primary solution for anomaly detection, leveraging feature discrepancies between teacher–student (T–S) networks to locate anomalies. However, previous ...

Abstract: Knowledge distillation (KD) has recently demonstrated remarkable potential in developing lightweight convolutional neural networks for remote sensing image (RSI) scene classification tasks.

This is the repository for the tutorial Biomedical Knowledge Graphs meet LLM. See the link here This tutorial focuses on the complementary nature of Biomedical Knowledge Graphs (KGs) and Large ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Ebony Howard is a certified public accountant and a QuickBooks ProAdvisor tax expert. She ...

The Knowledge Hub provides a single centralized platform for global education data, research and good practices. It provides national-level data, including country profiles that highlight commitments, ...

The industrial and commercial expansion of bottled water hinges on advancements in purification technology. As the pivotal ...

Taking a private company public through an Initial Public Offering (IPO) is a complex journey involving multiple steps. In India, this transition goes beyond just raising funds. It’s a major milestone ...