يعرض 1 - 10 نتائج من 160 نتيجة بحث عن '"Kumar, Lov"', وقت الاستعلام: 1.86s تنقيح النتائج
  1. 1
    مؤتمر
    Refactoring Prediction Improvement using Various Feature Selection and Data Sampling Techniques

    المؤلفون: Panigrahi, Rasmita, Kumar, Lov, Padhy, Neelamadhab

    المصدر: 2024 International Conference on Emerging Systems and Intelligent Computing (ESIC) Emerging Systems and Intelligent Computing (ESIC), 2024 International Conference on. :579-583 Feb, 2024

    Relation: 2024 International Conference on Emerging Systems and Intelligent Computing (ESIC)

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  2. 2
    مؤتمر
    An Empirical Framework for Malware Prediction Using Multi-Layer Perceptron

    المؤلفون: Singh, Vikram, Kumar, Lov, Patel, Anoop Kumar, Krishna, Aneesh

    المصدر: 2023 OITS International Conference on Information Technology (OCIT) Information Technology (OCIT), 2023 OITS International Conference on. :485-490 Dec, 2023

    Relation: 2023 OITS International Conference on Information Technology (OCIT)

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  3. 3
    مؤتمر
    SU-MMIMO in Correlated Fading Channel

    المؤلفون: Kota, Surendra, Vasudevan, K, Kumar, Lov, Mishra, Himanshu B

    المصدر: 2023 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), 2023 IEEE International Conference on. :304-310 Oct, 2023

    Relation: 2023 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

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  4. 4
    مؤتمر
    Comparative Analysis of Word Embedding and Machine Learning Techniques for Classification of Software Developer Communications on Gitter

    المؤلفون: Akshar, Tumu, Kumar, Lov, Yogita, Murthy, Lalita Bhanu

    المصدر: 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS) Computer Science and Intelligence Systems (FedCSIS), 2023 18th Conference on. :335-346 Sep, 2023

    Relation: 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS)

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  5. 5
    تقرير
    Turbo Coded OFDM-OQAM Using Hilbert Transform

    المؤلفون: Vasudevan, Kasturi, Kota, Surendra, Kumar, Lov, Mishra, Himanshu Bhusan

    مصطلحات موضوعية: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing

    URL الوصول: http://arxiv.org/abs/2309.09620

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  6. 6
    مؤتمر
    Software Requirements Classification using Deep-learning Approach with Various Hidden Layers

    المؤلفون: Vijayvargiya, Sanidhya, Kumar, Lov, Murthy, Lalita Bhanu, Misra, Sanjay

    المصدر: 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS) Computer Science and Intelligence Systems (FedCSIS), 2022 17th Conference on. :895-904 Sep, 2022

    Relation: 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS)

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  7. 7
    مؤتمر
    Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques

    المؤلفون: Chandra Mula, Venkata Krishna, Kumar, Lov, Murthy, Lalita Bhanu, Krishna, Aneesh

    المصدر: 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS) Computer Science and Intelligence Systems (FedCSIS), 2022 17th Conference on. :873-882 Sep, 2022

    Relation: 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS)

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  8. 8
    تقرير
    New Results on Single User Massive MIMO

    المؤلفون: Vasudevan, Kasturi, Kota, Surendra, Kumar, Lov, Mishra, Himanshu Bhusan

    مصطلحات موضوعية: Computer Science - Information Theory

    URL الوصول: http://arxiv.org/abs/2303.13309

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  9. 9
    كتاب إلكتروني
    Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom

    المؤلفون: Akash, Bathini SaiAff3, Singh, VikramAff4, Krishna, AneeshAff5, Murthy, Lalita BhanuAff3, Kumar, LovAff4

    المساهمون: Xhafa, Fatos, Series EditorAff1, Barolli, Leonard, editorAff2

    المصدر: Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 2. 200:292-302

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  10. 10
    كتاب إلكتروني
    An Empirical Analysis on Leveraging User Reviews with NLP-Enhanced Word Embeddings for App Rating Prediction

    المؤلفون: Mishra, PratyushAff3, Singh, VikramAff3, Aff4, Krishna, AneeshAff4, Kumar, LovAff3

    المساهمون: Xhafa, Fatos, Series EditorAff1, Barolli, Leonard, editorAff2

    المصدر: Advanced Information Networking and Applications : Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 3. 201:234-244

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