The Cardiology Advisor

Deep Learning Echocardiography Workflow May Be Effective in PAH

A fully automated deep learning workflow for echocardiography in pulmonary arterial hypertension (PAH) is accurate and feasible.

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Psychology Today

Why AI Cheats: The Deep Psychology Behind Deep Learning

A few months ago, I asked ChatGPT to recommend books by and about Hermann Joseph Muller, the Nobel Prize-winning geneticist who showed how X-rays can cause mutations. It dutifully gave me three titles ...
Hosted on MSN

10-Min Yogalates Deep Stretch Flow

This 10-minute yogalates session blends yoga and pilates-inspired movements for a deep full-body stretch. Perfect for releasing tension, increasing flexibility, and starting your day with calm and ...
Scientific Research Publishing

Li, M., Jiang, Y., Zhang, Y. and Zhu, H. (2023) Medical Image Analysis Using Deep Learning Algorithms. Frontiers in Public Health, 11, Article 1273253.

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
IEEE

Energy-efficient Distributed Heterogeneous Hybrid Flow-shop Scheduling Using Graph Neural Network and Deep Reinforcement Learning

Abstract: With growing environmental awareness and increasing energy demands, sustainable manufacturing has become a focal point in the industry. Meanwhile, globalization has propelled distributed ...
IEEE

Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems

Abstract: Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road ...
Frontiers

Research on mobile ultrasonic stratified flow velocity measurement based on machine learning algorithms

A mobile ultrasonic stratified flow velocity measurement device, which utilizes a pair of ultrasonic transducers, was characterized by its low power consumption and the ability to measure multi-layer ...