يعرض 1 - 10 نتائج من 59 نتيجة بحث عن '"Jha, Dipendra"', وقت الاستعلام: 0.90s تنقيح النتائج
  1. 1
    تقرير
    An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations

    المؤلفون: Jha, Dipendra, Narayanachari, K. V. L. V., Zhang, Ruifeng, Liao, Justin, Keane, Denis T., Liao, Wei-keng, Choudhary, Alok, Chung, Yip-Wah, Bedzyk, Michael, Agrawal, Ankit

    مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2211.04011

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  2. 2
    تقرير
    Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection

    المؤلفون: Jha, Dipendra, Mahjoubfar, Ata, Joshi, Anupama

    مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2205.13060

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  3. 3
    مؤتمر
    Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns

    المؤلفون: Jha, Dipendra, Kusne, Aaron Gilad, Al-Bahrani, Reda, Nguyen, Nam, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit

    المصدر: 2019 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2019 International Joint Conference on. :1-8 Jul, 2019

    Relation: 2019 International Joint Conference on Neural Networks (IJCNN)

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  4. 4
    مؤتمر
    Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening

    المؤلفون: Paul, Arindam, Jha, Dipendra, Al-Bahrani, Reda, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit

    المصدر: 2019 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2019 International Joint Conference on. :1-8 Jul, 2019

    Relation: 2019 International Joint Conference on Neural Networks (IJCNN)

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  5. 5
    تقرير
    A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design

    المؤلفون: Yang, Zijiang, Jha, Dipendra, Paul, Arindam, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit

    مصطلحات موضوعية: Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2101.10553

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  6. 6
    مؤتمر
    Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication

    المؤلفون: Lee, Sunwoo, Jha, Dipendra, Agrawal, Ankit, Choudhary, Alok, Liao, Wei-keng

    المصدر: 2017 IEEE 24th International Conference on High Performance Computing (HiPC) HIPC High Performance Computing (HiPC), 2017 IEEE 24th International Conference on. :183-192 Dec, 2017

    Relation: 2017 IEEE 24th International Conference on High Performance Computing (HiPC)

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  7. 7
    دورية أكاديمية
    Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design

    المؤلفون: Mao, Yuwei, Yang, Zijiang, Jha, Dipendra, Paul, Arindam, Liao, Wei-keng, Choudhary, Alok, Agrawal, AnkitAff1, IDs40192022002850_cor7

    المصدر: Integrating Materials and Manufacturing Innovation. 11(4):637-647

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  8. 8
    مؤتمر
    PinterNet: A thematic label curation tool for large image datasets

    المؤلفون: Liu, Ruoqian, Palsetia, Diana, Paul, Arindam, Al-Bahrani, Reda, Jha, Dipendra, Liao, Wei-keng, Agrawal, Ankit, Choudhary, Alok

    المصدر: 2016 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2016 IEEE International Conference on. :2353-2362 Dec, 2016

    Relation: 2016 IEEE International Conference on Big Data (Big Data)

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  9. 9
    تقرير
    IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery

    المؤلفون: Jha, Dipendra, Ward, Logan, Yang, Zijiang, Wolverton, Christopher, Foster, Ian, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit

    مصطلحات موضوعية: Physics - Computational Physics, Computer Science - Machine Learning, Statistics - Machine Learning

    URL الوصول: http://arxiv.org/abs/1907.03222

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  10. 10
    تقرير
    CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations

    المؤلفون: Paul, Arindam, Jha, Dipendra, Al-Bahrani, Reda, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit

    مصطلحات موضوعية: Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/1811.08283

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