Because Promova works across smartphones and computers, you can keep your E-ink reader focused on the text while using a ...

Abstract: Landmine detection using aerial imagery is relatively new area of remote sensing and computer vision, but due to rapid development of both aerial vehicles and object classification and ...

Abstract: Workflow Scheduling is a crucial challenge in cloud computing as different task dependencies involved in workflows which makes task scheduling process more complex and incurs huge energy ...

During early development, tissues and organs begin to form through the shifting, splitting, and growing of many thousands of cells. A team of researchers headed by MIT engineers has now developed a ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

BioCompNet: a dual-channel deep learning framework for automated body composition analysis from fat-water MRI sequences. (A) Schematic of the dual-channel 2-dimensional (2D) U-Net architecture used to ...

The echocardiography in PAH deep learning workflow demonstrated good accuracy and acceptable precision for peak TRV, RV basal diameter, TAPSE, and RA area. A fully automated deep learning (DL) ...

Imagine a tool that not only processes your data but also crafts polished presentations, generates detailed reports, and visualizes trends, all without switching between multiple apps. Sounds like a ...

An underwater voyage has revealed a network of creatures thriving at the bottom of deep-sea ocean trenches, researchers said in a newly published paper. The deep-sea trenches, also called Hadal ...

As virtual reality technology continues to develop, more colleges and universities are integrating it into the student experience inside and outside of the classroom. A recent survey of chief ...

Remote sensing is a key tool to derive glacier surface velocities but existing mapping methods, such as cross-correlation techniques, can fail where surface properties change temporally or where large ...