Abstract: This paper presents BAM-Net, a hardware-efficient binarization algorithm designed for associative memory (AM) implementation. BAM-Net aims to reduce memory overhead, power consumption, and ...
Threshold selection plays a crucial role in detecting complex and irregular surface features, such as the Swiss Cheese formations found in the south polar region of Mars. This study aims to evaluate ...
Abstract: The disease happening rate in human kind is gradually rising in alarming rate and early detection is and treatment is essential. In women, the breast-cancer (BC) is recognised to be a harsh ...
Background: Viral Respiratory Tract Infections (VRTIs) are a major public health threat. Early detection and preventive measures are key to controlling their spread. Current machine learning ...