Now, the biggest change involves incorporating AI tools to speed analysis and catch anomalies or outliers that humans could miss. “There have been very significant improvements around deep ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

Chiranjeevi Devi's research focuses on building reliable data systems through anomaly detection, DevSecOps automation, and policy-as-code for compliance.

aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...

1 Clinical Laboratory Center of People's Hospital, Xinjiang, Urumuqi, China 2 Department of Anesthesiology and Perioperative Medicine, Fourth Clinical College of Xinxiang Medical College, Xinxiang ...

Introduction: Fish keypoint detection is a prerequisite for accurate fish behavior analysis and biomass weight estimation, and is therefore crucial for efficient and intelligent offshore aquaculture.

Ms. Hochschild, a sociologist, spent seven years getting to know people in eastern Kentucky for her most recent book, “Stolen Pride.” “We’re losing our best and brightest,” Roger Ford, the 58-year-old ...

This repository contains the Python code for the Master's Thesis: "Uncertainty Quantification for Deep Learning in Sleep Apnea Detection: A Comparative Evaluation of Monte Carlo Dropout and Deep ...

Abstract: The automatic detection of pedestrian heads in crowded environments is essential for crowd analysis and management tasks, particularly in high-risk settings such as high dense railway ...

A deep learning based research to encourage healthy online information sharing by detecting and removing deep-fakes to avoid the spread of misleading information on the internet.