يعرض 1 - 10 نتائج من 114 نتيجة بحث عن '"Rajendran, Surendran"', وقت الاستعلام: 0.95s تنقيح النتائج
  1. 1
    مؤتمر
    Deep Learning-Based Intelligent Model for Neonatal Cyanosis Identification Using SSGNN

    المؤلفون: Nelson, Madhusundar, Rajendran, Surendran

    المصدر: 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2023 International Conference on. :282-287 Nov, 2023

    Relation: 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

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  2. 2
    مؤتمر
    Intelligent Multi-Agent Reinforcement Learning Based Disease Prediction and Treatment Recommendation Model

    المؤلفون: Rajesh, Thota Radha, Rajendran, Surendran

    المصدر: 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Augmented Intelligence and Sustainable Systems (ICAISS), 2022 International Conference on. :216-221 Nov, 2022

    Relation: 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)

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  3. 3
    مؤتمر
    Identification of Cyber Threats and Parsing of Data

    المؤلفون: J, Goutham Kumar, S, Gowri, Rajendran, Surendran, Vimali, J.S., Jabez, J., Srininvasulu, Senduru

    المصدر: 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI) Trends in Electronics and Informatics (ICOEI), 2021 5th International Conference on. :556-564 Jun, 2021

    Relation: 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)

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  4. 4
    دورية أكاديمية
    Archimedes optimisation algorithm quantum dilated convolutional neural network for road extraction in remote sensing images

    المؤلفون: Selvi Sundarapandi, Arun Mozhi, Alotaibi, Youseef, Thanarajan, Tamilvizhi, Rajendran, Surendran

    المصدر: In Heliyon 15 March 2024 10(5)

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  5. 5
    دورية أكاديمية
    An efficient colorectal cancer detection network using atrous convolution with coordinate attention transformer and histopathological images

    المؤلفون: Khalid, Majdi, Deivasigamani, Sugitha, V, Sathiya, Rajendran, SurendranAff4, IDs4159802470117y_cor4

    المصدر: Scientific Reports. 14(1)

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  6. 6
    دورية أكاديمية
    Empowering coffee farming using counterfactual recommendation based RNN driven IoT integrated soil quality command system

    المؤلفون: Selvanarayanan, Raveena, Rajendran, SurendranAff1, IDs4159802456954x_cor2, Algburi, Sameer, Ibrahim Khalaf, Osamah, Hamam, Habib

    المصدر: Scientific Reports. 14(1)

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  7. 7
    مؤتمر
    WiFi RSSI and inertial sensor based indoor localisation system: A simplified hybrid approach

    المؤلفون: Vikas, C. M., Rajendran, Surendran, Pattar, Adarsh, Jamadagni, H. S., Budihal, Ramachandra

    المصدر: 2016 International Conference on Signal and Information Processing (IConSIP) Signal and Information Processing (IConSIP), International Conference on. :1-6 Oct, 2016

    Relation: 2016 International Conference on Signal and Information Processing (IConSIP)

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  8. 8
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

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  9. 9
    دورية أكاديمية
    Endemic parasitic disease - Expert group opinion for South Asia for solid-organ transplantation − Leishmaniasis, malaria, toxoplasmosis, filariasis, and strongyloidiasis

    المؤلفون: Venkatasubramanian Ramasubramanian, Rajendran Surendran, Nitin Bansal, Sowmya Sridharan, Natarajan Gopalakrishnan, Suba Guru Prasad, Muhibur Rahman, Shyam Bihri Bansal

    المصدر: Indian Journal of Transplantation, Vol 16, Iss 5, Pp 57-62 (2022)

    مصطلحات موضوعية: filariasis, leishmaniasis, malaria, parasite, solid-organ transplant, south asia, strongyloides, toxoplasmosis, Surgery, RD1-811

    وصف الملف: electronic resource

    Relation: http://www.ijtonline.in/article.asp?issn=2212-0017;year=2022;volume=16;issue=5;spage=57;epage=62;aulast=Ramasubramanian; https://doaj.org/toc/2212-0017; https://doaj.org/toc/2212-0025

    URL الوصول: https://doaj.org/article/450c7c38514e4fbf922508618f48a0c3

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  10. 10
    دورية أكاديمية
    Deep-learning-based intelligent neonatal seizure identification using spatial and spectral GNN optimized with the Aquila algorithm.

    المؤلفون: Nelson, Madhusundar, Rajendran, Surendran, Khalaf, Osamah Ibrahim, Hamam, Habib

    المصدر: AIMS Mathematics (2473-6988); 2024, Vol. 9 Issue 7, p19645-19669, 25p

    مصطلحات موضوعية: DEEP learning, GRAPH neural networks, NEONATAL intensive care units, SEIZURES (Medicine), ALGORITHMS

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