Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

Abstract: T- Data classification and extraction are fundamental tasks in the field of computer vision and data analysis. This abstract presents an overview of these concepts along with the utilization ...

Green transformation in manufacturing is becoming a global focus. To address shortcomings in current single-dimensional energy evaluation methods, the study ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Note The agentic-doc Python library is now legacy. Please migrate to the new landingai-ade library, which is now the official Python library for Agentic Document Extraction and supports our newer API ...

Imagine being able to extract precise, actionable data from any website, without the frustration of sifting through irrelevant search results or battling restrictive platforms. Traditional web search ...

Department Preclinical Development and Validation, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig 04103, Germany Institute for Computational Systems Biology, University of Hamburg, ...

pepbench presents a framework for the automated extraction of the pre-ejection period (PEP) from electrocardiogram (ECG) and impedance cardiography (ICG) signals. The package includes a variety of ...

Forbes contributors publish independent expert analyses and insights. Lars Daniel covers digital evidence and forensics in life and law. When a multi-million dollar trucking case hinges on what ...

Data were extracted and processed using distinct data processing pipelines. This allowed for the evaluation of the impact of different processing methods by comparing the two datasets in a three-step ...