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SVM directed machine learning classifier for human action recognition network.
Sci Rep
January 2025
Department of Electrical and Computer Engineering, Hawassa University, Hawassa 05, Ethiopia.
Understanding human behavior and human action recognition are both essential components of effective surveillance video analysis for the purpose of guaranteeing public safety. However, existing approaches such as three-dimensional convolutional neural networks (3D CNN) and two-stream neural networks (2SNN) have computational hurdles due to the significant parameterization they require. In this paper, we offer HARNet, a specialized lightweight residual 3D CNN that is built on directed acyclic graphs and was created expressly to handle these issues and achieve effective human action detection.
View Article and Find Full Text PDFDevelopment and Validation of a Neurosurgical Phantom for Simulating External Ventricular Drain Placement.
J Med Syst
January 2025
Department of Neurosurgery, University Medical Centre Utrecht, Utrecht, The Netherlands.
This study aimed to develop and validate a cost-effective, customizable patient-specific phantom for simulating external ventricular drain placement, combining image segmentation, 3-D printing and molding techniques. Two variations of the phantom were created based on patient MRI data, integrating a realistic skin layer with anatomical landmarks, a 3-D printed skull, an agarose polysaccharide gel brain, and a ventricular cavity. To validate the phantom, 15 neurosurgeons, residents, and physician assistants performed 30 EVD placements.
View Article and Find Full Text PDFExhaled Breath Analysis Using a Novel Electronic Nose for Different Respiratory Disease Entities.
Lung
January 2025
Department of Internal Medicine, National Taiwan University Hospital, No.7, Chung Shan S. Rd., Zhongzheng District, Taipei City, 100225, Taiwan.
Purpose: Electronic noses (eNose) and gas chromatography mass spectrometry (GC-MS) are two important breath analysis approaches for differentiating between respiratory diseases. We evaluated the performance of a novel electronic nose for different respiratory diseases, and exhaled breath samples from patients were analyzed by GC-MS.
Materials And Methods: Patients with lung cancer, pneumonia, structural lung diseases, and healthy controls were recruited (May 2019-July 2022).
Basic Science and Pathogenesis.
Alzheimers Dement
December 2024
Massachusetts Alzheimer's Disease Research Center, Charlestown, MA, USA.
Background: In cerebral amyloid angiopathy, amyloid beta accumulates within the walls of blood vessels and contributes to impaired vascular integrity and function. In this work, we observe that tau protein similarly builds up along blood vessels in Alzheimer's disease brain.
Method: We obtained frozen inferior temporal cortex from the Massachusetts Alzheimer's Disease Research Center from n = 7 neuropathological confirmed Alzheimer's disease donors and n = 6 normal aging controls.
A novel method for intelligent operation and maintenance of transformers using deep visual large model DETR + X and digital twin.
Sci Rep
January 2025
School of Intelligent Manufacturing Modern Industry, Xinjiang University, Urumqi, 830046, Xinjiang, China.
To achieve real-time monitoring and intelligent maintenance of transformers, a framework based on deep vision and digital twin has been developed. An enhanced visual detection model, DETR + X, is proposed, implementing multidimensional sample data augmentation through Swin2SR and GAN networks. This model converts one-dimensional DGA data into three-dimensional feature images based on Gram angle fields, facilitating the transformation and fusion of heterogeneous modal information.
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