Showing 3,761 - 3,780 results of 9,218 for search 'Datchet~', query time: 2.28s Refine Results
  1. 3761

    Effect of the Cash Support from the Vision Umurenge Programme on Household Financial Behaviour in Rwanda: The Case of Direct Support (DS) by Emmanuel Munyemana, Charles Ruranga, Joseph K. Mung’atu

    Published 2024-12-01
    “…The analysis utilises a nationally representative panel dataset of 1642 respondents, collected between 2013 and 2017. …”
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    Article
  2. 3762

    A Deep Learning-Based Approach to Garbage Detection in urban centers by Slvar Abdulazeez Arif, Abubakar M. Ashir

    Published 2024-06-01
    “…The application leverages the powerful Residual Network 101(ResNet101) model, trained on a dataset of over 3000 images, to accurately classify and analyze environmental issues depicted in user-submitted images. …”
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    Article
  3. 3763
  4. 3764

    An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis by Subhash Mondal, Ranjan Maity, Amitava Nag

    Published 2025-02-01
    “…The proposed ANN model is trained using the Framingham Heart Study (FHS) dataset, which comprises 4240 data instances and 15 potential risk factors. …”
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  5. 3765
  6. 3766

    Polarimetric image recovery method with domain-adversarial learning for underwater imaging by Fei Tian, Jiuming Xue, Zhedong Shi, Hongling Luo, Wanyuan Cai, Wei Tao

    Published 2025-01-01
    “…In this paper, we collect, to the best of our knowledge, the richest polarization color image dataset with different water types and present a specially designed neural network UPD-Net firstly employing the domain-adversarial learning strategy to recover the degraded color images. …”
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  7. 3767
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  11. 3771

    Optimized sequential model for superior classification of plant disease by Yogesh Chimate, Sangram Patil, K. Prathapan, Jaydeep Patil, Jayendra Khot

    Published 2025-01-01
    “…Furthermore, image processing contributes to enhancing the dataset through normalization, resizing, and augmentation for better classification results. …”
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    Article
  12. 3772

    Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals by Hyojin Lee, You Rim Choi, Hyun Kyung Lee, Jaemin Jeong, Joopyo Hong, Hyun-Woo Shin, Hyung-Sin Kim

    Published 2025-01-01
    “…Tested on KISS–a PSG image dataset from 7745 patients across four hospitals–SleepXViT achieved a Macro F1 score of 81.94%, outperforming baseline models and showing robust performances on public datasets SHHS1 and SHHS2. …”
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  13. 3773

    AdaEcoFusion: Adaptive Ecological Feature Fusion for Enhancing Postgraduate Training Work in the Context of “Ecological Civilization” by Jue Lu

    Published 2025-01-01
    “…Experiments conducted on a dataset of postgraduate mentors from 29 prominent universities demonstrate the model’s effectiveness in improving training programs. …”
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  15. 3775

    Digital framework for georeferenced multiplatform surveillance of banana wilt using human in the loop AI and YOLO foundation models by Juan Jose Mora, Guy Blomme, Nancy Safari, Sivalingam Elayabalan, Ramasamy Selvarajan, Michael Gomez Selvaraj

    Published 2025-01-01
    “…In terms of ground level images, we organized the dataset based on disease occurrence in Africa, Latin America, India, Asia and Australia. …”
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  16. 3776
  17. 3777

    A High-Efficiency Charge-Domain Compute-in-Memory 1F1C Macro Using 2-bit FeFET Cells for DNN Processing by Nellie Laleni, Franz Muller, Gonzalo Cunarro, Thomas Kampfe, Taekwang Jang

    Published 2024-01-01
    “…The macro achieves 111.6 TOPS/W, highlighting its energy efficiency, and demonstrates robust performance on the CIFAR-10 dataset, achieving 89% accuracy with a VGG-8 neural network. …”
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    Article
  18. 3778

    GNN-EADD: Graph Neural Network-Based E-Commerce Anomaly Detection via Dual-Stage Learning by Zhouhang Shao, Xuran Wang, Enkai Ji, Shiyang Chen, Jin Wang

    Published 2025-01-01
    “…Extensive experiments on a large-scale Amazon dataset demonstrate that GNN-EADD significantly outperforms state-of-the-art baselines in terms of anomaly detection accuracy, precision, and recall, while showing robustness to various types of anomalies and scalability to large networks.…”
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