Mostrando 59,061 - 59,080 Resultados de 59,720 Para Buscar '"architecture"', tiempo de consulta: 0.35s Limitar resultados
  1. 59061
    “…We formally analyze the complexity of the algorithms in terms of performance metrics and provide guidelines and recommendations for adapting architectures that deal with private data. Furthermore, we confirm the theoretical analysis with practical experimentation. …”
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  2. 59062
    “…Based on a human breast cancer dataset (i.e., BreakHis) (accuracy from 0.86 to 0.91), our models were applied to the CMT dataset, showing accuracy from 0.63 to 0.85 across all architectures. The EfficientNet framework coupled with SVM resulted in the best performances with an accuracy from 0.82 to 0.85. …”
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  3. 59063
    por George, Amala, Kundu, Manab
    Publicado 2023
    “…[Image: see text] A systematic synthetic method involving the anion exchange process was designed and developed to fabricate the superior functioning three-dimensional (3-D) urchin-architectured copper cobalt oxide (CuCo(2)O(4); CCO) and copper cobalt sulfide (CuCo(2)S(4); CCS) electrode materials from copper–cobalt carbonate double hydroxide [(CuCo)(2)(CO(3))(OH)(2); CCH]. …”
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  4. 59064
  5. 59065
    “…In comparison to more conventional deep learning architectures, the GraMNets generated here have a low computational difficulty. …”
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  6. 59066
    “…With this study we aimed to investigate the correlation between fascicle arching and contraction, muscle–tendon complex length and their associated architectural parameters in gastrocnemius muscles to develop hypotheses concerning the fundamental mechanism of fascicle curving. …”
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  7. 59067
    “…The modelled structures of these IgaA variants uncovered one periplasmic and two cytoplasmic conserved β-rich architectures forming partially closed small β-barrel (SBB) domains. …”
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  8. 59068
    “…Abnormalities in wing vein architectures were also detected in dBHMT-targeted flies, thereby justifying their notably reduced negative geotaxis capacities herein observed mainly in the brain–(mid)gut axis. …”
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  9. 59069
    “…LAs were stratified into 3 categories (traditional, hybrid, and household) based primarily on architectural/interior features. Three evaluators rated each LA using the Therapeutic Environment Screening Scale (TESS-NH), Professional Environmental Assessment Protocol (PEAP), Environmental Audit Tool (EAT-HC), and EASE. …”
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  10. 59070
    “…We developed a two-tier method using deep learning architectures to classify images and make accurate landmark predictions. …”
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  11. 59071
    “…A metabolic signature predictive of primary Sjögren’s syndrome status was explored using linear (logistic regression with elastic-net regularization) and non-linear (random forests) machine learning architectures, after splitting the data set into training, validation, and test sets. …”
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  12. 59072
    “…Our study attempts to address this gap by combining the existing U-Net and HD-Staining architectures for segmenting the oral epithelium and introducing a novel algorithm that we call Onion Peeling for counting the epithelium layer number. …”
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  13. 59073
    “…Our models were trained on 215 microscopic images at 400× and 438 images at 1000× magnification using the ResNet 50 and Inception–ResNet v2 architectures. These models distinctly recognized micro-changes in the PM of AR sperms. …”
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  14. 59074
    “…Different detector architectures for upstream detections (You Only Look Once (YOLOv5), Faster Region Proposal Convolutional Neural Network (Faster R-CNN), and RetinaNet) are investigated in a comparative study to optimize performance. …”
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  15. 59075
    “…In this work, two different architectures of artificial networks were used for CCEIT image reconstruction: a fully connected deep neural network and a conditional generative adversarial network (cGAN). …”
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  16. 59076
    “…We conducted experiments using the cardiac imaging dataset from the ACDC challenge of MICCAI 2017, and four different architectures were shown to be successful for cardiac image segmentation problems. …”
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  17. 59077
    “…As previously demonstrated on the Sitophilus family, Convolutional Neural Networks demonstrate distinct advantages over other model architectures in detecting Tribolium. Our CNN model, MCSNet+, integrates Soft-NMS for better recall in dense object detection, a Position-Sensitive Prediction Model to handle translation issues, and anchor parameter fine-tuning for improved matching and speed. …”
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  18. 59078
  19. 59079
    “…Future research should focus on optimizing architectures and incorporating novel biomarkers. CNN integration in glaucoma detection revolutionizes ophthalmology, improving patient outcomes and access to care. …”
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  20. 59080
    “…In recent years, the deep learning revolution, particularly Convolutional Neural Networks (CNNs), has reshaped the field of computer vision and LULC classification. Deep architectures have consistently outperformed traditional methods, offering greater accuracy and efficiency. …”
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