Results 91 to 100 of about 627,413 (249)

Robot perception learning [PDF]

, 1977
Leonard Friedman
openalex   +1 more source

Pulse Pressure, White Matter Hyperintensities, and Cognition: Mediating Effects Across the Adult Lifespan

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To investigate whether pulse pressure or mean arterial pressure mediates the relationship between age and white matter hyperintensity load and to examine the mediating effect of white matter hyperintensities on cognition. Methods Demographic information, blood pressure, current medication lists, and Montreal Cognitive Assessment ...
Jade Hannan, Sarah Newman‐Norlund, Natalie Busby, Sarah C. Wilson, Roger Newman‐Norlund, Chris Rorden, Julius Fridriksson, Leonardo Bonilha, Nicholas Riccardi   +8 more
wiley   +1 more source

A novel ResNet50-based attention mechanism for image classification

Journal of Applied Science and Engineering
Image classification tasks often compress the neural network model to reduce the number of parameters, which leads to a decrease in classification accuracy.
Jingsi Zhang, Xiaosheng Yu, Xiaoliang Lei, Chengdong Wu   +3 more
doaj   +1 more source

A REVIEW REGARDING DEEP LEARNING TECHNOLOGY IN MOBILE ROBOTS [PDF]

, 1970
Vlad Ovidiu Mihalca, Flaviu Birouaș, Florin Avram, Arnold Nilgesz   +3 more
openalex   +1 more source

3D MRI Tract‐Specific Spinal Cord Lesion Pattern Improves Prediction of Distinct Neurological Recovery

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To distinguish lateralized motor‐ and sensory‐tract damage after acute spinal cord injury (SCI) and explore its predictive power for motor and sensory recovery. Methods Thirty‐five SCI patients (two female) from a multi‐center data set (placebo‐arm of the Nogo‐A‐Inhibition in SCI trial) underwent routine T2‐weighted sagittal MRI ...
Lynn Farner, Tim M. Emmenegger, Simon Schading‐Sassenhausen, Julia Berroth, Maryam Seif, Armin Curt, Patrick Freund, The Nogo Inhibition in Spinal Cord Injury Study Group   +7 more
wiley   +1 more source

A deep learning framework based on structured space model for detecting small objects in complex underwater environments

Communications Engineering
Regular monitoring of marine life is essential for preserving the stability of marine ecosystems. However, underwater target detection presents several challenges, particularly in balancing accuracy with model efficiency and real-time performance.
Yaoming Zhuang, Jiaming Liu, Haoyang Zhao, Longyu Ma, Zirui Fang, Li Li, Chengdong Wu, Wei Cui, Zhanlin Liu   +8 more
doaj   +1 more source

Real-Time Transformer Detection of Underwater Objects Based on Lightweight Gated Convolutional Network

水下无人系统学报
To address the challenges in underwater object detection algorithms, including difficult image feature processing, redundant model architectures, and excessive parameter numbers, this paper proposed a real-time Transformer detection method for underwater
Yuhui LI, Huixia CUI, Yaomin LI, Senping JIA   +3 more
doaj   +1 more source

Robots, productivity and quality [PDF]

, 1972
C. A. Rosen
openalex   +1 more source

SARS‐CoV‐2 Is Linked to Brain Volume Loss in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The impact of SARS‐CoV‐2 infection on brain and spinal cord pathology in patients with multiple sclerosis (pwMS) remains unclear. We aimed to describe changes in brain lesion activity and brain and spinal cord volumes following SARS‐CoV‐2 infection.
Tomas Uher, Dominika Stastna, Ingrid Menkyova, Vaclav Capek, Jiri Lindner, Petra Nytrova, Jan Krasensky, Eliza Varju, Miguel D'haeseleer, Eva Kubala Havrdova, Dana Horakova, Manuela Vaneckova, Niels Bergsland   +12 more
wiley   +1 more source

Detecting rs‐fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Preserved resting‐state functional MRI (rs‐fMRI) networks are typically observed in Disorders of Consciousness (DOC). Despite the widespread use of rs‐fMRI in DOC, a systematic assessment of networks is needed to improve the interpretability of data in clinical practice.
Jean Paul Medina Carrion, Mario Stanziano, Ludovico D'Incerti, Davide Sattin, Stefania Ferraro, Davide Rossi Sebastiano, Francesca Giulia Magnani, Alice Deruti, Davide Fedeli, Ludovico Minati, Francesca Epifani, Marina Grisoli, Matilde Leonardi, Maria Grazia Bruzzone, Anna Nigri, Cristina Rosazza   +15 more
wiley   +1 more source