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1741
Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset
Published 2025-02-01“…Specifically, we introduced a novel modification to the network structure, where the feature map M5 is processed by the ReLU function prior to the original convolution kernel. This strategic adjustment was designed to prevent the loss of resolution for small mass features. …”
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1742
A Lightweight Method for Detecting Bearing Surface Defects Based on Deep Learning and Ontological Reasoning
Published 2025-01-01“…First, the dynamic convolution is fused with the Ghost module and the combined structure is embedded into the C3 module, thus constructing a new module named C3-GhostDynamicConv (C3-GDConv) module, which achieves network lightweighting while maintaining efficient computation. …”
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1743
DAU-YOLO: A Lightweight and Effective Method for Small Object Detection in UAV Images
Published 2025-05-01“…To maintain an extremely lightweight architecture, the bottom-most Bottom–Up layer is removed, reducing model complexity without compromising detection accuracy. …”
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1744
Design and synthesis of reversible Vedic multiplier using cadence 180 nm technology for low-power high-speed applications
Published 2025-05-01“…Thus, the proposed work can be applied to the most promising fields such as Microprocessors to design MAC units, to find the convolution in Digital signal processing applications, Communication, RF sensing applications, etc.…”
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1745
VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection
Published 2025-12-01“…Convolution Neural Networks (CNN) are best in their ability to detect rice diseases but still face challenges in generalizing equally well for all classes of disease in multiclass classification. …”
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1746
LAVID: A Lightweight and Autonomous Smart Camera System for Urban Violence Detection and Geolocation
Published 2025-04-01“…Our proposed system, named LAVID, is based on a depthwise separable convolution model (DSCNN) combined with a bidirectional long-short-term memory network (BiLSTM) and implemented on a lightweight smart camera. …”
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1747
MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data
Published 2024-12-01“…Recent advances have highlighted the effectiveness and ability of Machine Learning (ML) models in analyzing Remote Sensing (RS) data for this purpose. However, most of these models do not fully consider multi-source RS data for prediction, as processing these increases complexity and limits their accuracy and generalizability. …”
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1748
Epidemics In The 21st Century: A Multifaceted Challenge
Published 2023-12-01“…The advent of novel viruses like SARS-CoV, MERS-CoV, and most notably, the unprecedented COVID-19 pandemic, underscores the unpredictability and rapid global spread inherent in emerging infectious diseases. …”
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1749
The study of the influence of <i>Thlaspi arvense</i> L. on the characteristics of the reproductive system of male rats
Published 2024-06-01“…The arsenal of medicinal plants used in traditional medicine for the treatment of diseases in men is mainly represented by phytoadaptogens, most of which have a small resource potential in Russia, therefore, it is relevant to search for plants with a sufficient raw material base and with the potential for cultivation. …”
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1750
Modern options of endoscopic retrograde stenting of bile ducts in treatment of obstructive jaundice at malignant pancreatobiliary tumors
Published 2014-11-01“…Acute obstructive jaundice developed on background of malignant pancreatobiliary neoplasms is one of the most complex and dramatic problems of modern abdominal surgery. …”
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1751
Adaptation of the microflora of pig farms to the disinfectant “Sviteco PIP Multi” and the antagonistic activity of the probiotic bacilli contained in its composition
Published 2025-03-01“…At the same time, adding “Sviteco PIP Multi” to the medium gave growth to most microorganisms at 49–50 subcultures and significantly lower concentrations. …”
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1752
The Management of Cardiometabolic Risk in MAFLD: Therapeutic Strategies to Modulate Deranged Metabolism and Cholesterol Levels
Published 2025-02-01“…Among these, Pro-protein Convertase Subtilisin/Kexin type 9 inhibitors (PCSK9i) show the most promising efficacy profile but data on liver fibrosis are lacking. …”
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1753
ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits
Published 2025-01-01“…One of the highest concerns of worldwide fruit and vegetable enterprises is the rapid and accurate separation of fresh apples from damaged ones, where efficiency and cost-effectiveness are critical. Most recent studies have neglected the speed and cost of separation, both of which are crucial in the fruit and vegetable business, in favor of accuracy alone. …”
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1754
STYLISTIC MEANS OF IMPLEMENTING THE IDEA OF THE WORLD’S IRIDESCENCE IN PH.K. DICK’S “UBIK” IN THE CONTEXT OF TRANSLATION TRANSFORMATIONS
Published 2024-12-01“…Grammatical transformations com- pose nearly two fifths (39.8 %) of the researched body of units, the most efficient ones being substitution and word order change. …”
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1755
YOLOv8-Scm: an improved model for citrus fruit sunburn identification and classification in complex natural scenes
Published 2025-07-01“…Citrus ranks among the most widely cultivated and economically vital fruit crops globally, with southern China being a major production area. …”
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1756
One Health interventions and challenges under rural African smallholder farmer settings: A scoping review
Published 2025-06-01“…This has led to more convoluted health challenges, for which African smallholder farmers bear the brunt. …”
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1757
Continuous Estimation of Hand Kinematics From Electromyographic Signals Based on Power-and Time-Efficient Transformer Deep Learning Network
Published 2025-01-01“…RNN series models, Convolution series models, and Transformer series models were used as reference models for comparison. …”
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1758
Severe hyperchloremic metabolic acidosis with SGLT2 inhibitors in patients with urinary diversion
Published 2025-05-01“…Urinary diversion after cystectomy using autologous intestinal segments has been the gold standard treatment in several urinary tract diseases. The most frequent metabolic consequence is hyperchloremic metabolic acidosis, due to ammonium hydrogen and chloride ions absorption in exchange for the excretion of bicarbonate and sodium ions in the bowel conduit.Sodium-glucose co-transporter-2 (SGLT2) inhibitors are a class of antihyperglycemic agents that block the reabsorption of filtered glucose in the renal proximal convoluted tubules, promoting greater urinary glucose and sodium excretion.The authors describe two cases of patients with bowel conduit and mild/severe hyperchloremic metabolic acidosis, after starting SGLT2 inhibitors. …”
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1759
Severe hyperchloremic metabolic acidosis with SGLT2 inhibitors in patients with urinary diversion
Published 2025-05-01“…Urinary diversion after cystectomy using autologous intestinal segments has been the gold standard treatment in several urinary tract diseases. The most frequent metabolic consequence is hyperchloremic metabolic acidosis, due to ammonium hydrogen and chloride ions absorption in exchange for the excretion of bicarbonate and sodium ions in the bowel conduit.Sodium-glucose co-transporter-2 (SGLT2) inhibitors are a class of antihyperglycemic agents that block the reabsorption of filtered glucose in the renal proximal convoluted tubules, promoting greater urinary glucose and sodium excretion.The authors describe two cases of patients with bowel conduit and mild/severe hyperchloremic metabolic acidosis, after starting SGLT2 inhibitors. …”
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1760
AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks
Published 2025-01-01“…Comparative experiments indicated that AGW-YOLO outperformed several mainstream object detection algorithms, including Faster R-CNN, YOLOv8n, YOLOv9-tiny, YOLOv10n, RT-DETR-R50, and TPH-YOLO, across most evaluation metrics, offering high recognition accuracy with lower computational complexity. …”
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