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 ...

James Webb Space Telescope has delivered stunning views of the "gravitationally distorted realms" of the El Gordo galaxy ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Abstract: Clustering is a way to discover groupings in a dataset without using supervised learning. It is an NP-hard problem to cluster data. In most cases, machine learning approaches are necessary ...

Abstract: Multiview clustering task groups objects using multiple properties, such as RGB images, infrared images, and texture information. However, incomplete multi-view clustering faces significant ...

We present an unsupervised deep clustering framework based on Deep Embedded Clustering (DEC) to identify traffic-induced signal segments from high-frequency seismic noise recorded by a single seismic ...

Thiyagu is a DevOps Lead with expertise in cloud technologies, automation, Kubernetes and CI/CD pipelines. He is the founder of dotnet-helpers.com, where he shares insights on Kubernetes, Azure, Power ...

Wind Engineering, Vol. 45, No. 4, Special Issue 2019 IREC Conference (August 2021), pp. 807-821 (15 pages) The optimized siting of grid-scale renewable generation is a viable technique to minimize the ...

structure_clustering is a Python package to cluster molecular structures into groups of similar ones. Our approach involves analysing the intermolecular distances to represent each structure's ...