Multi-View Occluded License Plate Recognition: A Feature Fusion Method Based on Spatial Wavelet Transform. [PDF]
Sensors (Basel)Pan N, Zhang K, Ghaffar MA, Peng L.
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Arthritis Care &Research, EarlyView.Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim +2 more
wiley +1 more source
Less can be better: decomposing clinical data modalities in large language model-based healthcare applications. [PDF]
J Am Med Inform AssocPeng C, Lyu M, Chen Z, Wu Y.
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Arthritis Care &Research, Accepted Article.Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
Multi-view graph-regularized deep metric subspace clustering network. [PDF]
PLoS OneLuo P, Yang M, Peng C, Wang Q.
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Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Review: Techniques in Egocentric Multi-View Image Analysis: Advances, Challenges, and Future Directions. [PDF]
J ImagingPhan DT, Nguyen HD.
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Multi-view AI output variability as a teaching resource in a micro-course for thyroid TI-RADS interpretation among ultrasound residents: a randomized controlled trial. [PDF]
Front Med (Lausanne)Fu C, Cui K, Si C, Yu J, Zhang Y.
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