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 ...
A set of mysterious grooves on a cave floor in France has turned out to be far more than abstract art. Archaeologists now ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Abstract: Due to the intrinsic complexity of time series forecasting within power systems, artificial intelligence has emerged as a promising pathway for predictive analytics. Although time series ...
This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...
Abstract: For the sake of complex analysis requirements of drilling fluid analysis system, this paper proposes a multidimensional data model and implement the solution of data mart due to the ...
Introduction: The decision regarding the supply of emergency equipments for power emergencies requires timeliness, efficiency, and accuracy. The multi-agent supply ...
The current paper underscores the critical need for the deployment of innovative drug discovery platforms capable of engineering precise solutions for diseases with high-unmet medical need when ...
State-Space Models (SSMs) have gained attention as a powerful and efficient alternative to transformer architectures. However, existing SSM designs are often rooted in biases inherited from their ...