Showing 1,741 - 1,760 results of 1,766 for search 'most convolutional', query time: 0.10s Refine Results
  1. 1741

    Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

    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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  2. 1742

    A Lightweight Method for Detecting Bearing Surface Defects Based on Deep Learning and Ontological Reasoning by Xiaolin Shi, Haisong Xu, Han Zhang, Yi Li, Xinshuo Li, Fan Yang

    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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    Article
  3. 1743

    DAU-YOLO: A Lightweight and Effective Method for Small Object Detection in UAV Images by Zeyu Wan, Yizhou Lan, Zhuodong Xu, Ke Shang, Feizhou Zhang

    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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    Article
  4. 1744

    Design and synthesis of reversible Vedic multiplier using cadence 180 nm technology for low-power high-speed applications by Narayanan Mageshwari, Periyasamy Sakthivel, Ramasamy Seetharaman

    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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    Article
  5. 1745

    VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection by Sanam Salman Kazi, Bhakti Palkar, Dhirendra Mishra

    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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    Article
  6. 1746

    LAVID: A Lightweight and Autonomous Smart Camera System for Urban Violence Detection and Geolocation by Mohammed Azzakhnini, Houda Saidi, Ahmed Azough, Hamid Tairi, Hassan Qjidaa

    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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    Article
  7. 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 by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

    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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    Article
  8. 1748

    Epidemics In The 21st Century: A Multifaceted Challenge by Shawana Sharif

    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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    Article
  9. 1749

    The study of the influence of <i>Thlaspi arvense</i> L. on the characteristics of the reproductive system of male rats by R. G. Farkhutdinov, K. A. Pupykina, L. A. Sharafutdinova, A. M. Fedorova, Z. R. Hismatullina, M. I. Garipova, E. F. Koroleva, A. A. Yamaleeva, T. D. Rendyuk

    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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    Article
  10. 1750

    Modern options of endoscopic retrograde stenting of bile ducts in treatment of obstructive jaundice at malignant pancreatobiliary tumors by S. A. Budzinsky, S. G. Shapovalyants, Ye. D. Fedorov, A. G. Mylnikov, D. V. Bakhtiozina

    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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    Article
  11. 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 by V. O. Myronchuk, R. A. Peleno

    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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    Article
  12. 1752

    The Management of Cardiometabolic Risk in MAFLD: Therapeutic Strategies to Modulate Deranged Metabolism and Cholesterol Levels by Annalisa Pezzoli, Ludovico Abenavoli, Marialaura Scarcella, Carlo Rasetti, Gianluca Svegliati Baroni, Jan Tack, Emidio Scarpellini

    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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    Article
  13. 1753

    ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits by Nashaat M. Hussain Hassan, Mohamed M. Hassan Mahmoud, Mohamed A. Ismeil, M. Mourad Mabrook, A. A. Donkol, A. M. Mabrouk

    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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  14. 1754

    STYLISTIC MEANS OF IMPLEMENTING THE IDEA OF THE WORLD’S IRIDESCENCE IN PH.K. DICK’S “UBIK” IN THE CONTEXT OF TRANSLATION TRANSFORMATIONS by Svitlana F. Aleksenko, Larysa I. Taranenko

    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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    Article
  15. 1755

    YOLOv8-Scm: an improved model for citrus fruit sunburn identification and classification in complex natural scenes by Guoxun Cong, Guoxun Cong, Xinghong Chen, Xinghong Chen, Zongyu Bing, Zongyu Bing, Wenhuan Liu, Wenhuan Liu, Xiangling Chen, Qun Wu, Zheng Guo, Zheng Guo, Yongqiang Zheng, Yongqiang Zheng

    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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  16. 1756
  17. 1757

    Continuous Estimation of Hand Kinematics From Electromyographic Signals Based on Power-and Time-Efficient Transformer Deep Learning Network by Chuang Lin, Chunxiao Zhao, Jianhua Zhang, Chen Chen, Ning Jiang, Dario Farina, Weiyu Guo

    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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    Article
  18. 1758

    Severe hyperchloremic metabolic acidosis with SGLT2 inhibitors in patients with urinary diversion by Carolina Gomes, João Barbosa Barroso, Ana Isabel Oliveira, Sofia Guerreiro Cruz, Liliana Cunha, Ana Azevedo

    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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    Article
  19. 1759

    Severe hyperchloremic metabolic acidosis with SGLT2 inhibitors in patients with urinary diversion by Carolina Gomes, João Barbosa Barroso, Ana Isabel Oliveira, Sofia Guerreiro Cruz, Liliana Cunha, Ana Azevedo

    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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    Article
  20. 1760

    AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

    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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    Article