Results 41 to 50 of about 1,457,471 (199)

RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers

Sensors, 2022
The latest research in computer vision highlighted the effectiveness of the vision transformers (ViT) in performing several computer vision tasks; they can efficiently understand and process the image globally unlike the convolution which processes the ...
Hatem Ibrahem, Ahmed Salem, Hyun-Soo Kang   +2 more
doaj   +1 more source

A Survey of Techniques for Optimizing Transformer Inference [PDF]

, 2023
Recent years have seen a phenomenal rise in performance and applications of transformer neural networks. The family of transformer networks, including Bidirectional Encoder Representations from Transformer (BERT), Generative Pretrained Transformer (GPT ...
Chitty-Venkata, Krishna Teja, Mittal, Sparsh, Somani, Arun, Vishwanath, Venkatram, Emani, Murali   +4 more
core  

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin, Binbin Xue, Dewei Xie, Jia Li, Juyuan Pan, Lanbing Zhu, Qiaowen Tong, Jing Lin, Ruofan Zhu, Xu Zhang, Junhui Xia, Xiang Li   +11 more
wiley   +1 more source

Leveraging Transfer Learning for Accurate CRP Level Prediction in Diabetic Patients

Zanco Journal of Pure and Applied Sciences
This study addresses the challenge of predicting C-reactive protein (CRP) levels in patients with type 2 diabetes mellitus by integrating tabular-to-image transformation techniques with transfer learning architectures.
Alaa J. Albaqal, Mardin A. Anwar
doaj   +1 more source

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru, Akansha Chandrasekar, Kyla Blasingame, Jonathan Rosen, Jesse M. Levine, Karla Salazar, Madhuri Chilakapati, Rod Foroozan, Victoria Hardwick, Jonathan M. Yarimi, Nikita Shukla, Timothy E. Lotze, Kristen S. Fisher, Alexander J. Sandweiss   +13 more
wiley   +1 more source

Experimental studies of influence of DC and AC electric fields on bridging in contaminated transformer oil

, 2015
Analysis of real operating condition revealed that HVDC transformers experience combined effect of DC biased AC electric field. The dynamics of pressboard particle in contaminated transformer oil under the influence of DC, AC and DC biased AC electric ...
Mahmud, S., Golosnoy, I.O., Chen, G., Wilson, G., Jarman, P.   +4 more
core   +1 more source

Equivalent Permeability of Step-Lap Joints of Transformer Cores: Computational and Experimental Considerations [PDF]

, 2011
The paper develops an efficient computational method for establishing equivalent characteristics of magnetic joints of transformer cores, with special emphasis on step-lap design.
Napieralska-Juszczak, E., Napieralska-Juszczak, Ewa, Komeza, Krzysztof, Ewa Napieralska-Juszczak, Sykulski, J.K., Jan K. Sykulski, Sykulski, Jan, Hihat, N., Hihat, Nabil, Lecointe, Jean-Philippe, Jean-Philippe Lecointe, Lecointe, J-P., Nabil Hihat, Komeza, K., Krzysztof Komeza   +14 more
core   +2 more sources

Transformer-Based Fusion of Body and Context for Emotion Recognition [PDF]

EPJ Web of Conferences
This paper investigates using image-based features, combining body posture and context, to automatically detect emotions in natural settings. We focus on seven emotions: happy, sad, disgust, neutral, surprise, anger, and fear , from the NCAER dataset. We
Elkorchi Merieme, Hdioud Boutaina, Thami Rachid Oulad Haj, Merzouk Safae   +3 more
doaj   +1 more source

Factors Associated With the Rising Trend in Self‐Reported Cognitive Disability Among U.S. Adults Aged 18–39 From 2013–2024

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon, Ka‐Ho Wong, Mirriam Mananah, Christopher D. Anderson, Ada Fenick, Amy Arnsten, Arman Fesharaki‐Zadeh, James C. McPartland, Mary L. Adams, Kevin N. Sheth   +9 more
wiley   +1 more source

Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics

Axioms
Models based on vision transformer architectures are considered state-of-the-art when it comes to image classification tasks. However, they require extensive computational resources both for training and deployment.
Eyup B. Unlu, Marçal Comajoan Cara, Gopal Ramesh Dahale, Zhongtian Dong, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva   +10 more
doaj   +1 more source