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Impairment of Microcirculation Parameters in Patients with a History of Diabetic Foot Ulcers
Published 2024-12-01Get full text
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602
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603
A Hidden Surveillant Transmission Line Protection Layer for Cyber-Attack Resilience of Power Systems
Published 2025-01-01Get full text
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604
Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar
Published 2025-02-01Get full text
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605
The Walk of Guilt: Multimodal Deception Detection from Nonverbal Motion Behaviour
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A deep learning based model for diabetic retinopathy grading
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The Prevalence of Occult Celiac Disease among Patients with Functional Dyspepsia: A Study from the Western Region of Iran
Published 2010-01-01“…According to Rome II criteria, all twelve patients with positive tests had “dysmotility type dyspepsia.” Based on Marsh classification, six patients were consistent with “Marsh I,” four with “Marsh II,” and two with the “Marsh III” classification. …”
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611
Prostate Cancer Detection from MRI Using Efficient Feature Extraction with Transfer Learning
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The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data
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THEORETICAL CONSIDERATIONS REGARDING THE USE OF SEMICONDUCTOR DIODES
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Tensor weight structures and t-structures on the derived categories of schemes
Published 2023-07-01“…More precisely, for a Noetherian separated scheme $X$, we give a bijection between the set of compactly generated $\otimes ^c$-weight structures on $\mathbf{D} (\mathrm{Qcoh}\, X)$ and the set of Thomason filtrations of $X$. We achieve this classification in two steps. First, we show that the bijection [12, Theorem 4.10] restricts to give a bijection between the set of compactly generated $\otimes ^c$-weight structures and the set of compactly generated tensor t-structures. …”
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Closed-form interpretation of neural network classifiers with symbolic gradients
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The real-time data processing framework for blockchain and edge computing
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620