Inspired by kirigami, a type of Japanese paper art, researchers have created a new material that transforms from a grid into ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
The Hindu’s Data Team recently published an article detailing discrepancies in voter deletions across polling booths in Tamil ...
This tool has been developed using both LM Studio and Ollama as LLM providers. The idea behind using a local LLM, like Google's Gemma-3 1B, is data privacy and low cost. In addition, with a good LLM a ...
Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...
Content chunking is a technique for breaking down information into smaller, focused sections that make content more scannable, comprehensible, and actionable for both human readers and AI systems. And ...
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12 Structural Inspections, 1 Wing Failure Pattern: How Fatigue Shaped Late C-123 Operations
Repeated inspections revealed fatigue concentrations around the C-123’s wing roots and spars, especially on aircraft operating from rough forward strips. These findings resulted in revised maintenance ...
Abstract: Design patterns provide reusable solutions to recurring software design problems. Since their introduction by the Gang of Four in 1994, identifying these patterns in object-oriented programs ...
Abstract: Low-level texture feature/knowledge is also of vital importance for characterizing the local structural pattern and global statistical properties, such as boundary, smoothness, regularity, ...
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