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721
Unveiling the functional connectivity of astrocytic networks with AstroNet, a graph reconstruction algorithm coupled to image processing
Published 2025-01-01“…To address this, we developed AstroNet, a data-driven algorithm that uses two-photon calcium imaging to map temporal correlations in astrocyte activation. …”
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722
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723
DSMF-Net: Dual Semantic Metric Learning Fusion Network for Few-Shot Aerial Image Semantic Segmentation
Published 2025-01-01“…On the one hand, we consider the inherent semantic gap between the feature of graph and grid structures and metric learning of few-shot segmentation. …”
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724
The role of OCO-3 XCO<sub>2</sub> retrievals in estimating global terrestrial net ecosystem exchanges
Published 2025-01-01“…<p>Satellite-based column-averaged dry-air CO<span class="inline-formula"><sub>2</sub></span> mole fraction (XCO<span class="inline-formula"><sub>2</sub></span>) retrievals are frequently used to improve the estimates of terrestrial net ecosystem exchanges (NEEs). The Orbiting Carbon Observatory 3 (OCO-3) satellite, launched in May 2019, was designed to address important questions about the distribution of carbon fluxes on Earth, but its role in estimating global terrestrial NEE remains unclear. …”
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725
LEAF-Net: A Unified Framework for Leaf Extraction and Analysis in Multi-Crop Phenotyping Using YOLOv11
Published 2025-01-01“…This study evaluates YOLOv11-based models for automated leaf detection and segmentation across spring barley, spring wheat, winter wheat, winter rye, and winter triticale. …”
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726
IMTLM-Net: improved multi-task transformer based on localization mechanism network for handwritten English text recognition
Published 2025-01-01“…As an example, Optical Character Recognition (OCR) can be used in smart education scenarios such as online homework correction and teaching data analysis. One of the fundamental yet challenging tasks is to recognize images of handwritten English text as editable text accurately. …”
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727
Deep-Reticular Pseudodrusen-Net: A 3-Dimensional Deep Network for Detection of Reticular Pseudodrusen on OCT Scans
Published 2025-03-01“…Objective: To propose Deep-RPD-Net, a 3-dimensional deep learning network with semisupervised learning (SSL) for the detection of reticular pseudodrusen (RPD) on spectral-domain OCT scans, explain its decision-making, and compare it with baseline methods. …”
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728
Chloride Diffusivity and Life Prediction of Cracked RC Beams Exposed to Different Wet-Dry Ratios and Exposure Duration
Published 2017-01-01“…Chloride contents of RC beams were tested every 32 d (or 16 d) of wet-dry cycles. Results show that chloride content increased significantly when crack width was larger than 90 microns and wet-dry ratio was 1 : 3, and it increased slightly when crack width was 120 microns and wet-dry ratio was 1 : 7, 1 : 11, and 1 : 15. …”
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729
Wnt1 Accelerates an Ex Vivo Expansion of Human Cord Blood CD34+CD38− Cells
Published 2013-01-01“…Altogether, our findings highlight the role of Wnt1 and the new culture condition in stimulating hematopoietic stem/progenitor cells expansion which may offer a new therapeutic avenue for cord blood transplantation, regenerative medicine, stem cell bank applications, and other clinical applications in the future.…”
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730
Behavior of Lime-Stabilized Red Bed Soil after Cyclic Wetting-Drying in Triaxial Tests and SEM Analysis
Published 2020-01-01“…Most red beds demonstrate inferior geotechnical properties in natural conditions and need to be improved when used as construction material. In this study, a serious of triaxial tests, permeability tests, and scanning electron microscopy (SEM) analysis were carried out on lime-stabilized and untreated red bed soil after experiencing different wetting-drying (W-D) cycles. …”
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731
Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images
Published 2020-06-01Subjects: “…COVID-19, Chest X-Ray Images, CNN, AlexNet, Deep Learning.…”
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732
TDR-Model: Tomato Disease Recognition Based on Image Dehazing and Improved MobileNetV3 Model
Published 2025-01-01“…However, in greenhouse tomato cultivation environments, many techniques neglect the foggy image caused by wet conditions, adversely affecting the performance of disease recognition models, which still remains unresolved. …”
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733
Edge and texture aware image denoising using median noise residue U-net with hand-crafted features
Published 2025-01-01Subjects: Get full text
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734
MicroNET-covered stent ‘sandwich’ technique to seal carotid artery perforation in a highly-calcific lesion
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735
QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning-quantum transfer learning
Published 2025-06-01“…While classical deep learning (DL) models like CNNs and ResNet's are widely used, they face resource and accuracy limitations. …”
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736
Modified Stochastic Petri Net-Based Modeling and Optimization of Emergency Rescue Processes during Coal Mine Accidents
Published 2021-01-01“…The triangular fuzzy strategy is used to analyze the change value of the total time in the ER system at the unit transition speed when the firing rate of each transition is changed, which finds the most time-consuming key activities in the ER process. …”
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737
Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier
Published 2023-01-01“…There are several disease kinds in global populations that may be related to human lifestyles, social, genetic, economic, and other factors related to the nature of the country they live in. …”
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738
Application of Double Frequency Star Chain Difference NavCom GPS to High Grade Construction Control Net
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739
Vitrectomy for full-thickness macular hole developed during aflibercept treatment for wet age-related macular degeneration
Published 2024-12-01Subjects: Get full text
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740
The presence of disease in growing spiny lobster Panulirus spp. in floating net cages at Tanjung Putus Island, Lampung
Published 2024-01-01“…The purpose of this study was to investigate infectious diseases in rearing spiny lobster Panulirus spp. that were kept in floating net cages at Tanjung Putus, Lampung. The research method involved sampling five spiny lobsters in floating net cages, observation of clinical symptoms, bacterial isolation, identification of bacteria, detection of Milky Hemolymph Disease of Spiny Lobster (MHD-SL) through polymerase chain reaction (PCR) analysis and histopathology. …”
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