Molecular dynamics (MD) simulations are a key computational chemistry technique that
provide dynamic insight into the underlying atomic-level processes in the system under …

Incorporating artificial intelligence (AI) to support academic faculty is the main topic of the
systematic literature review. The purpose of the study is to examine the potential advantages …

The implementation of artificial intelligence (AI) techniques in industrial applications,
especially solid-state welding (SSW), has transformed modeling, optimization, forecasting …

OpenAI's ChatGPT, is a conversational chatbot that uses Generative Pre-trained
Transformer or GPT language model to mimic human-like responses. Here we evaluated its …

Explainability in artificial intelligence (AI) is crucial for ensuring transparency, accountability,
and risk mitigation, thereby addressing digital responsibility, social, ethical and ecological …

Geotechnical engineering spans a wide range of applications, including tunnels,
foundations, dams, and retaining structures. It deals with a material known to be difficult to …

Deep learning has made many advances in data classification using electrocardiogram
(ECG) waveforms. Over the past decade, data science research has focused on developing …

RESUMEN La Inteligencia Artificial (IA) ofrece soluciones transformadoras para abordar los
desafíos actuales en el ámbito educativo. Este capítulo explora cómo la integración de la IA …

Law enforcement and police service are, related to the proposed AI Act of the European
Commission, part of the high-risk area of artificial intelligence (AI). As such, in the area of …

The amount of digital data has grown exponentially in the past decade, leading to
challenges in managing and analyzing data. People using the data face several data …