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Automatic diagnosis of selected retinal diseases based on OCT B-scan
Published 2023-04-01“…This study aims to present the possibility of using artificial intelligence techniques to classify diseases of the posterior segment of the eye, which are visible on type B OCT cross-sections. The datasets of retinal images available on the Internet are discussed, with particular emphasis on datasets useful for learning artificial neural networks, allowing for the automatic classification process. …”
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2382
Alzheimer's disease image classification based on enhanced residual attention network.
Published 2025-01-01“…The experimental results indicate that the Enhanced Residual Attention Network has achieved excellent performance on the Alzheimer's disease test dataset, providing strong support for the early diagnosis and treatment of Alzheimer's disease.…”
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2386
The “ $$B\rightarrow K\pi $$ B → K π puzzle”: a new perspective
Published 2024-12-01“…Abstract A phenomenological analysis based on the published branching fractions and CP asymmetry observables of the $$B\rightarrow K\pi $$ B → K π , $$B\rightarrow \pi \pi $$ B → π π and $$B\rightarrow KK$$ B → K K dataset is performed. The amplitude decomposition by the topological diagrams and the SU(3) irreducible representation is used. …”
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2387
Verification of a Torsional Behaviour Prediction Model for Reinforced Recycled Aggregate Concrete Beams
Published 2022-01-01Get full text
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2388
Design and Simulation of Eight-Rotor Unmanned Aerial Vehicle Based on Hybrid Control System
Published 2018-01-01Get full text
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2389
Resource Allocation in a Cognitive Radio System with Imperfect Channel State Estimation
Published 2010-01-01Get full text
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2391
Program for Studying Intergenerational Transmissions in Infant Mortality Using the Intermediate Data Structure (IDS)
Published 2018-05-01“…The current work presents two programs that were developed in STATA to construct a dataset for analysis and run statistical models to study intergenerational transfers in infant mortality using databases that are stored in the IDS. …”
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2392
Early Results From the ‘Diggers to Veterans’ Longitudinal Study of Australian Men who Served in the First World War. Short- and Long-Term Mortality of Early Enlisters
Published 2019-12-01“…This paper reports on the first iteration of a cradle-to-grave dataset of men who enlisted and served overseas in the First World War from the state of Victoria, Australia. …”
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2393
Zaolzie (Olsaland) 1945. On Polish historiography and historiographical controversions
Published 2015-01-01Get full text
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2394
Flatwoods Citrus Best Management Practice: Minimizing Direct Deposition of Pesticides into Waterways
Published 2006-08-01Get full text
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2395
Series-Based Solution for Analysis of Simply Supported Rectangular Thin Plate with Internal Rigid Supports
Published 2017-01-01Get full text
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2396
Improving the Accuracy of Batik Classification using Deep Convolutional Auto Encoder
Published 2024-12-01“…This research investigates the development of model deep convolutional autoencoders to enhance the classification of digital batik images. The dataset used was sourced from Kaggle. The autoencoder was employed to enrich the image data prior to convolutional processing. …”
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Using Activity Recognition for Building Planning Action Models
Published 2013-06-01“…To test our approach, a new dataset from a kitchen domain has been generated. …”
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2399
Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging
Published 2025-02-01“…Despite advances in acquisition technologies and segmentation architectures, one of the main challenges of subacute stroke lesion segmentation in computed tomography (CT) imaging is image contrast.MethodsTo address this issue, we propose a method to assess the contrast quality of an image dataset with a ML trained model for segmentation. …”
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Identification and Analysis of Key Immune- and Inflammation-Related Genes in Idiopathic Pulmonary Fibrosis
Published 2025-02-01“…This study aims to identify key genes associated with immune response and inflammation in IPF using bioinformatics.Methods: We identified differentially expressed genes (DEGs) in the GSE93606 dataset and GSE28042 dataset, then obtained differentially expressed immune- and inflammation-related genes (DE-IFRGs) by overlapping DEGs. …”
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