Governments that value effective policymaking should be alert to the perils of falling survey-response rates, inadequate ...

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools ...

Previously, coding demanded extensive software and mathematical knowledge. Today, languages like Python are as simple to learn as new languages like English or French.

Statsmodels helps analyze data using Python, especially for statistics, regression, and forecasting.The best Statsmodels ...

Abstract: More accurate extraction of invisible building footprints from very-high-resolution (VHR) aerial images relies on roof segmentation and roof-to-footprint offset extraction. Existing methods ...

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local ...

This project is designed to process Azure Data Factory (ADF) JSON files, standardize their structure, and store them as Delta files in a specified Azure Data Lake Storage account. The project is ...

Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, caused by proliferation of residual lens epithelial cells (LECs). Metformin, a ...

ABSTRACT: Construction safety continues to be a significant concern in developing countries, like Ghana, which is characterised by elevated accident rates, inadequate enforcement, fragmented ...

Abstract: Emerging transistors lack the statistical compact models needed to evaluate the yield of integrated circuits. To address this, we propose a novel framework combining a variational ...