Abstract: Toxic comment classification presents a significant challenge in the current era, characterized by widespread internet access and the potential for misuse of free speech, frequently ...

Abstract: Sentiment analysis has lately become very useful for tracking the amount of opinion content that people post online through their social media updates, product reviews, and via any other ...

Short-term air conditioning load forecasting in industrial buildings plays a key role in energy management and carbon neutrality efforts. Yet internal disturbances, latent heat variations, and ...

ABSTRACT: In today’s data-driven business environment, small and medium-sized enterprises (SMEs) struggle to implement effective knowledge management (KM) due to limited financial, technical, and ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Introduction: Coronary heart disease (CHD) remains a leading global health burden. Cine cardiovascular magnetic resonance (CMR), the gold standard for evaluating left ventricular (LV) structure and ...

This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP), a convolutional neural network (CNN), a long short-term memory ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...