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

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...

AI has transformed the forex market by reshaping trading strategies and outcomes. Traders now approach currency markets differently, and AI tools help create better trading platforms. Algorithmic ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...

AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...

Abstract: In the realm of millimeter wave (mmWave) communication, massive multiple-input-multiple-output (mMIMO) systems have grabbed greater attention due to advancements in the 5G cellular networks.

Background: A vision-based gait analysis system using deep learning algorithms for simple monocular videos was validated to estimate temporo-spatial gait parameters in idiopathic normal-pressure ...

Abstract: Task offloading strategies in Mobile Edge Computing (MEC) aim to reduce computation delay and energy consumption of mobile devices by offloading tasks to edge servers, which is key to ...

This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...