IEEE

Mid-Term Load Forecasting with Minimal Data: An In-Context-Learning-Aware Approach Using Large Language Models

Abstract: Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require ...

From pathology image to biological discovery: LazySlide uses foundation models to connect tissue images and RNA data

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their ...
IEEE

C-HIDE: A Steganographic Framework for Robust Data Hiding and Advanced Security Using Coverless Hybrid Image Encryption With AES and ECC

Abstract: Coverless image steganography conceals information without modifying the carrier image, addressing vulnerabilities in traditional methods. However, existing approaches often require ...
GitHub

Saeed-dev2/poultry_Form_Disease_Deep-Learning-Machine-Learning-Computer-vision

“Prevention Is Better Than Cure” – The Dutch philosopher Desiderius Erasmus. In this project, we aim to develop an application that can help to detect the disease of poultry via poultry birds by deep ...