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A Tunnel Crack Segmentation and Recognition Algorithm Using SPGD-and-Generative Adversarial Network Fusion
Published 2025-04-01“…The SPGD algorithm can enhance the detail and edge information of a tunnel crack image, which improves the clarity of the tunnel crack image. …”
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USING QUANTITATIVE APPROACHES FOR DETERMINATION THE OPTIMUM ECONOMIC ROTATION OF PLATANUS ORIENTALIS L. ARTIFICIAL STANDS IN NENAVAH FOREST
Published 2012-01-01“…In comparison between these methods and the first method the results showed the optimum cutting rotation for the three models are(10) years. at the same time the equation of net present value was used and by making discount on the data information that is concerned with the studied costs, incomes and stands, and they all showed the following best rotations of cutting: (10) years at 5% discount rate. (10) years at 10% discount rate…”
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A human single-neuron dataset for object recognition
Published 2025-01-01“…The human amygdala and hippocampus play a key role in object recognition, contributing to both the encoding and retrieval of visual information. Here, we recorded single-neuron activity from the human amygdala and hippocampus when neurosurgical epilepsy patients performed a one-back task using naturalistic object stimuli. …”
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Ensemble-based eye disease detection system utilizing fundus and vascular structures
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Avaliação da vulnerabilidade e do risco à contaminação das águas subterrâneas da bacia hidrográfica do Rio gramame (Pb) / Assessment of vulnerability and risk to contamination of G...
Published 2014-04-01“…The contamination vulnerability maps of groundwater, created with help of Geographic Information Systems (GIS), are being increasingly used to support environmental management plans of governmental and non-governmental organizations. …”
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A Two-Stage Method for Diagnosing COVID-19, Leveraging CNN, and Transfer Learning on CT Scan Images
Published 2023-07-01“…Furthermore, a comparative analysis is conducted between this method and six other architectures (Inception, InceptionResNetV2, ResNet101, ResNet152, VGG16, VGG19), with and without transfer learning. …”
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Narrowband Radar Micromotion Targets Recognition Strategy Based on Graph Fusion Network Constructed by Cross-Modal Attention Mechanism
Published 2025-02-01“…To fully utilize the information embedded within narrowband radar waveforms, it is necessary to conduct in-depth research on multi-dimensional features of micromotion targets, including radar cross-sections (RCSs), time frequency (TF) images, and cadence velocity diagrams (CVDs). …”
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