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 ...
Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.
Abstract: This article introduces a novel approach to data structure visualization through the development of a new programming language, utilizing Python’s Lex-YACC library for lexical analysis and ...
Abstract: In this paper, we develop a novel gray-box modeling approach for distribution systems with inverter-based resources (IBRs). The proposed gray-box modeling method aims to improve estimation ...
At the moment, Typst supports main vector and raster image formats. Namely, images in PNG, JPEG, GIF, or SVG format can be easily emplaced in a document with Typst. However, it is not possible to keep ...
Bruker's Acquifer Imaging Machine (IM) is a fully automated widefield microscope with both brightfield and fluorescence imaging capabilities. It is best suited for high-content screening (HCS) and ...
UADAPy is a Python library to support an easy analysis of uncertain data. @INPROCEEDINGS{UADAPy, author={Paetzold, Patrick and Hägele, David and Evers, Marina and Weiskopf, Daniel and Deussen, Oliver} ...
The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.
This video exposes how mystery box companies leverage risk mechanics and intermittent rewards to keep buyers spending. High-priced boxes may offer premium surprises—but they also disguise low-value ...
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