Showing 5,241 - 5,260 results of 6,418 for search '"Architecture"', query time: 0.09s Refine Results
  1. 5241

    Rapid Detection of Hybrid Maize Parental Lines Using Stacking Ensemble Machine Learning by M. Aqil, M. Azrai, M. J. Mejaya, N. A. Subekti, F. Tabri, N. N. Andayani, Rahma Wati, S. Panikkai, S. Suwardi, Z. Bunyamin, E. Roy, M. Muslimin, M. Yasin, E. Prakasa

    Published 2022-01-01
    “…Among all the evaluated CNN architecture and stacking models, Inception V3-embedded images with logistic regression metaclassifier outperformed other models with accuracy of about 98%. …”
    Get full text
    Article
  2. 5242

    Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN) by Theopilus Bayu Sasongko, Haryoko Haryoko, Agit Amrullah

    Published 2023-08-01
    “…In the era of deep learning models such as the complex Convolutional Neural Network (CNN) as it is today, it has new challenges such as gradient vanishing, overfitting due to dataset limitations, parameter optimization to hardware limitations. The MobileNet architecture was coined in 2017 by Howards, et al, which is one of the convolutional neural networks (CNN) architectures that can be used to overcome the need for excessive computing resources. …”
    Get full text
    Article
  3. 5243
  4. 5244
  5. 5245
  6. 5246

    Integrated SegFlow, µSIA, and UPLC for Online Sialic Acid Quantitation of Glycoproteins Directly from Bioreactors by Letha Chemmalil, Tanmay Kulkarni, Mathura Raman, Priya Singh, Yueming Qian, Chris Chumsae, Kyle McHugh, Zhuangrong Huang, Eric Hodgman, Michael C. Borys, Julia Ding, Gloria Li, Anthony Leone

    Published 2025-01-01
    “…The fully automated architecture exemplifies the execution of online sampling, automatic sample preparation, and subsequent online UPLC analysis. …”
    Get full text
    Article
  7. 5247

    Automatic detection, identification and counting of deep-water snappers on underwater baited video using deep learning by Florian Baletaud, Florian Baletaud, Florian Baletaud, Sébastien Villon, Antoine Gilbert, Jean-Marie Côme, Sylvie Fiat, Corina Iovan, Laurent Vigliola

    Published 2025-02-01
    “…To address this issue, we used a Region-based Convolutional Neural Network (Faster R-CNN), a deep learning architecture to automatically detect, identify and count deep-water snappers in BRUVS. …”
    Get full text
    Article
  8. 5248
  9. 5249
  10. 5250

    MSF-GhostNet: Computationally Efficient YOLO for Detecting Drones in Low-Light Conditions by Maham Misbah, Misha Urooj Khan, Zeeshan Kaleem, Ali Muqaibel, Muhamad Zeshan Alam, Ran Liu, Chau Yuen

    Published 2025-01-01
    “…To address these challenges, we present an improved YOLOv5 architecture named multiscale feature map GhostNet (MSF-GhostNet) by introducing GhostConv and C3Ghost modules to reduce the redundant operations in the head and neck. …”
    Get full text
    Article
  11. 5251

    Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

    Published 2024-12-01
    “…Moreover, the shared cache architecture reduces data redundancy and conserves on-chip resources. …”
    Get full text
    Article
  12. 5252

    CSGD-YOLO: A Corn Seed Germination Status Detection Model Based on YOLOv8n by Wenbin Sun, Meihan Xu, Kang Xu, Dongquan Chen, Jianhua Wang, Ranbing Yang, Quanquan Chen, Songmei Yang

    Published 2025-01-01
    “…Simultaneously, a detection module dubbed Ghost_Detection, leveraging the GhostConv architecture, is devised to boost detection efficiency while simultaneously reducing parameter counts and computational overhead. …”
    Get full text
    Article
  13. 5253
  14. 5254

    Collaboration-Based BIM Model Development Management System for General Contractors in Infrastructure Projects by Yu-Cheng Lin, Nan-Hai Lo, Hsin-Tzu Hu, Ya-Ting Hsu

    Published 2020-01-01
    “…The increasing application of BIM in the architecture, engineering, and construction (AEC) industries has strengthened the need for effective construction management for general contractors (GC) for BIM implementation during the construction phase. …”
    Get full text
    Article
  15. 5255
  16. 5256

    Effect of Genetic Predisposition on Blood Lipid Traits Using Cumulative Risk Assessment in the Korean Population by Min Jin Go, Joo-Yeon Hwang, Dong-Joon Kim, Hye-Ja Lee, Han Byul Jang, Kyung-Hee Park, Jihyun Song, Jong-Young Lee

    Published 2012-06-01
    “…Taken together, our findings demonstrate that the genetic architecture of circulating lipid levels (TG and HDL-C) overlap to a large extent in childhood as well as in adulthood. …”
    Get full text
    Article
  17. 5257
  18. 5258

    Fetal Cartilage Progenitor Cells in the Repair of Osteochondral Defects by Bruno C. Menarim, DVM, PhD, Chan Hee Mok, PhD, Kirsten E. Scoggin, PhD, Alexis Gornik, DVM, Emma N. Adam, DVM, PhD, Shavahn C. Loux, PhD, James N. MacLeod, VMD, PhD

    Published 2025-03-01
    “…IZN and ANL repair tissues exhibited some evidence of zonal architecture such as native cartilage and the best bone integration; nonetheless, they developed exuberant growth, often causing patellar instability and osteoarthritis. …”
    Get full text
    Article
  19. 5259

    Evaluation for an Open Society: Then and Now by Robert Picciotto

    Published 2018-10-01
    “…Ominous environmental threats loom. The architecture of international relations designed in the mid-1940’s has become obsolete. …”
    Get full text
    Article
  20. 5260

    Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks by Muhammad Shoaib, Ghassan Husnain, Nasir Sayed, Yazeed Yasin Ghadi, Masoud Alajmi, Ayman Qahmash

    Published 2025-01-01
    “…Moreover, we address ethical considerations inherent in AI-driven educational assessment, ensuring fairness, transparency, and accountability in the MCQ generation process. The cGAN architecture facilitates the generation of contextually relevant MCQs across various proficiency levels and subject domains, enhancing the educational assessment process. …”
    Get full text
    Article