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AS CONDIÇÕES DE POSSIBILIDADE DO CONHECIMENTO DO OBJETO E O OBJETO DO CONHECIMENTO NA SOCIOLOGIA
Published 2014-04-01“…A partir de uma leitura crítica da epistemologia histórica de L. Dumont e M. Gauchet, ele associa a sociologia aos teóricos anti-utilitaristas da ação. …”
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Research on Pneumothorax Classification Model of DenseNet Based on Multilayer Network Optimization
Published 2024-01-01“…This article establishes the DenseNet based on multilayer network optimization (DenseNet-MNO) using a binary dataset of pneumothorax. This method optimizes multiple network layers and ensures the convergence of the neural network by reducing the learning rate with each iteration. …”
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L’apport de la sculpture à la compréhension des fonctions liturgiques
Published 2021-11-01Get full text
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Consumer Purchasing Habits of Florida Environmental Horticulture Products
Published 2004-03-01Get full text
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Design and Validation of a Biomimetic Leg-Claw Mechanism Capable of Perching and Grasping for Multirotor Drones
Published 2024-12-01“…Additionally, its foldable, parallelogram-shaped legs bend under external forces, stretching the main tendon. A ratchet and pawl mechanism at the knee joint locks the leg in the bent position, thereby enhancing the gripping force of the claw. …”
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Gastrointestinal Symptoms in Marfan Syndrome and Hypermobile Ehlers-Danlos Syndrome
Published 2018-01-01Get full text
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qPRF: A system to accelerate population receptive field modeling
Published 2025-02-01“…Both hemispheres of the 181 subjects in the HCP dataset (a total of 10,753,572 vertices, each with a unique BOLD time series of 1800 frames) were analyzed by qPRF in 12.82 h on an ordinary CPU. …”
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Predictive models for the implementation of targeted reproductive management in multiparous cows on automatic milking systems
Published 2025-02-01“…Using data derived solely from the AMS (RBT dataset) a binary random forest classification model was constructed for both outcomes of interest. …”
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SAlexNet: Superimposed AlexNet using residual attention mechanism for accurate and efficient automatic primary brain tumor detection and classification
Published 2025-03-01“…Our results show that SAlexNet-1 achieved an accuracy of (98.78 ± 0.80 %) and (98.07± 0.02 %) on the multi-class and binary classification datasets, respectively. In comparison, SAlexNet-2 achieved outstanding accuracy of (99.69 ± 0.22 %) and (99.17 ± 0.00 %) on the multi-class and binary classification MRI datasets, respectively. …”
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Pancreatic cancer mortality in South Africa: A case-control study
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Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study
Published 2025-01-01“…Moreover, a hybrid model that combines YOLO11n and MobileNetV2 is developed for multi-class classification. The dataset used in this study is a combination of five existing public datasets with additional manually annotated images, to create a new dataset covering the five fire classes, which was then validated by a firefighting specialist. …”
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Migraine and subsequent chronic kidney disease risk: a nationwide population-based cohort study
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Application of artificial intelligence brain structure-based paradigm to predict the slip condition impact on magnetized thermal Casson viscoplastic fluid model under combined temp...
Published 2025-02-01“…Finally, developed dataset features were applied to the artificial intelligence-based LMT-ABPNN procedure to validate the numerical results for radiative Casson fluid. …”
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Vis/NIR Spectroscopy and Vis/NIR Hyperspectral Imaging for Non-Destructive Monitoring of Apricot Fruit Internal Quality with Machine Learning
Published 2025-01-01“…In contrast, the optimal predictive ability was found for models of the HSI dataset (TSS: R<sup>2</sup> = 0.904; DM: R<sup>2</sup> = 0.918, TA: R<sup>2</sup> = 0.811), as confirmed by external validation. …”
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