Ever wondered how your incredible brain effortlessly navigates the vast sea of information that bombards you every day? Picture this: You are scrolling through a whirlwind of Facebook posts and photos ...

Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

a notebook-first introduction to QSVT and QSP a reusable Python package for polynomial design, spectral transforms, and small PennyLane QSVT checks where the backend can synthesize the transform ...

In this repo you will find ... ... SHAPY, a state-of-the-art network that predicts the body shape of a person from a single image. The body shape is represented as ...

Abstract: Estimation of State-of-Charge (SoC) of a battery pack is an essential function of Battery Management System in Electric Vehicles. This letter proposes a hybrid dual-stage estimation approach ...

Simple biometrics such as peak heart rate and exercise duration remain core predictors of cardiovascular disease (CVD). Commercial wearable devices track physical and cardiac electrical activity.

Nowadays, the deep learning methods are widely applied to analyze and predict the trend of various disaster events and offer the alternatives to make the appropriate decisions. These support the water ...