Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
IEEE

Improving Camouflage Object Detection Using U-NET and VGG16 Deep Neural Networks and CBAM Attention Mechanism

Abstract: Camouflaged object detection is an essential concern in computer vision and is commonly applied in military, security, biological, and various other fields. In machine vision, camouflage ...
IEEE

Android Based Malware Detection Technique Using Machine Learning Algorithms

Abstract: The threat landscape has drastically become immense due to the increasing number of Android devices and applications. Android malware detection is an area of research that has seen increased ...