IEEE

A Comparative Study of Classical Machine Learning and Deep Learning Approaches for Human Behavior Detection Using Multisensor Data

Abstract: Human behavior detection using multisensor data is increasingly important in healthcare, assistive technologies, and smart environments. This study provides a systematic comparative analysis ...
The Lancet

Leveraging deep learning applied to chest radiograph images to identify individuals at high risk of chronic obstructive pulmonary disease: a retrospective model validation study

aCardiovascular Imaging Research Center (CIRC), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA bPulmonary and Critical Care Division, Massachusetts ...
Frontiers

Deep learning and high-resolution magnetic resonance vascular wall imaging: current challenges and future perspectives

High-resolution magnetic resonance vessel wall imaging (HR-VWI) is an advanced MR imaging technique that can directly visualize intracranial vessel walls and detect subtle pathological changes. HR-VWI ...
IEEE

Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data

Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...
Wall Street Journal

How Jet Engines Are Powering Data Centers

Shares of Caterpillar, the maker of mining and construction machinery, are up more than 30% since year-end, making it the biggest contributor to the Dow Jones Industrial Average. WSJ’s Jonathan Weil ...
WLNS.com

Deep Green data center in Lansing postponed by ‘procedural issue’

LANSING, Mich. (WLNS) — The vote to approve rezoning for a planned data center in downtown Lansing has been postponed as the project’s United Kingdom-based developer, Deep Green, works to address a ...