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 ...
Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...
1 Key Laboratory of Neuromolecular Biology, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China 2 Department of Neurology, The ...
A complete end-to-end pipeline for collecting IoT sensor data and running real-time AI inference on edge devices. This project demonstrates how to build production-ready IoT systems with machine ...
This project provides a robust framework for analyzing health and environmental data, with a particular focus on air quality metrics. It includes tools for data preprocessing, address processing, and ...
Abstract: Data preprocessing is a crucial phase in the data science and machine learning pipeline, often demanding significant time and expertise. This step is vital for enhancing data quality by ...
Abstract: This paper introduces fProcessor, a tool designed for nonintrusive, on-the-fly preprocessing of data being written to files. “Nonintrusive” means that fProcessor requires no modifications to ...
ABSTRACT: This paper focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...
For lithologic oil reservoirs, lithology identification plays a significant guiding role in exploration targeting, reservoir evaluation, well network adjustment and optimization, and the establishment ...
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