يعرض 1 - 10 نتائج من 476 نتيجة بحث عن '"Manogaran, Gunasekaran"', وقت الاستعلام: 0.91s تنقيح النتائج
  1. 1
    دورية أكاديمية
    A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset

    المؤلفون: Khalifa, Nour Eldeen M., Smarandache, Florentin, Manogaran, GunasekaranAff3, Aff4, Loey, MohamedAff5, IDs12559020098029_cor4

    المصدر: Cognitive Computation. 16(4):1602-1611

    Find this article in full text from Springer Verlag. Full Text Finder
    أضف إلى المفضلة
  2. 2
    مؤتمر
    An Efficient eNB Selection and Traffic Scheduling Method for LTE Overlay IoT Communication Networks

    المؤلفون: Manogaran, Gunasekaran, Rawal, Bharat S.

    المصدر: 2021 IEEE Global Communications Conference (GLOBECOM) Global Communications Conference, (GLOBECOM) 2021 IEEE. :1-6 Dec, 2021

    Relation: GLOBECOM 2021 - 2021 IEEE Global Communications Conference

    أضف إلى المفضلة
  3. 3
    مؤتمر
    Implementation of a secure multi-cloud storage framework with next-generation cryptosystems and split-protocol

    المؤلفون: Rawal, Bharat S, Manogaran, Gunasekaran

    المصدر: 2021 International Symposium on Networks, Computers and Communications (ISNCC) Networks, Computers and Communications (ISNCC), 2021 International Symposium on. :1-6 Oct, 2021

    Relation: 2021 International Symposium on Networks, Computers and Communications (ISNCC)

    أضف إلى المفضلة
  4. 4
    دورية أكاديمية
    Retraction Note: Stealthy attack detection in multi-channel multi-radio wireless networks

    المؤلفون: Varatharajan, R.Aff1, IDs11042024195670_cor1, Preethi, Angelin Peace, Manogaran, Gunasekaran, Kumar, Priyan Malarvizhi, Sundarasekar, Revathi

    المصدر: Multimedia Tools and Applications: An International Journal. 83(23):64063-64063

    Find this article in full text from Springer Verlag. Full Text Finder
    أضف إلى المفضلة
  5. 5
    مؤتمر
    Replication based Crowd Sensing for Optimal Service Response in 5G Communications using Information-Centric Wireless Sensor Networks

    المؤلفون: Manogaran, Gunasekaran, Alshaikh, Amani, Alsabet, Reham, Rawat, Danda B.

    المصدر: 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI) IRI Information Reuse and Integration for Data Science (IRI), 2021 IEEE 22nd International Conference on. :107-114 Aug, 2021

    Relation: 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI)

    أضف إلى المفضلة
  6. 6
    مؤتمر
    Network Augmentation by Dynamically Splitting the Switching Function in SDN

    المؤلفون: Rawal, Bharat S, Manogaran, Gunasekaran, Singh, Raman, M, Poongodi, Hamdi, Mounir

    المصدر: 2021 IEEE International Conference on Communications Workshops (ICC Workshops) Communications Workshops (ICC Workshops), 2021 IEEE International Conference on. :1-6 Jun, 2021

    Relation: 2021 IEEE International Conference on Communications Workshops (ICC Workshops)

    Full Text Finder
    أضف إلى المفضلة
  7. 7
    مؤتمر
    Machine Learning based Trust Model for Secure Internet of Vehicle Data Exchange

    المؤلفون: Manogaran, Gunasekaran, Rawal, Bharat S.

    المصدر: 2020 IEEE Globecom Workshops (GC Wkshps Globecom Workshops (GC Wkshps), 2020 IEEE. :1-6 Dec, 2020

    Relation: 2020 IEEE Globecom Workshops (GC Wkshps)

    أضف إلى المفضلة
  8. 8
    كتاب إلكتروني
    Case Studies for Diabetic Retinopathy with a Deep Learning System

    المؤلفون: Shanthini, A.Aff4, Manogaran, GunasekaranAff5, Vadivu, G.Aff4

    المساهمون: Shanthini, A.Aff1, Manogaran, GunasekaranAff2, Vadivu, G.Aff3

    المصدر: Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy. :61-67

    أضف إلى المفضلة
  9. 9
    كتاب إلكتروني
    Multi-Platform Deployment for Prognosis System

    المؤلفون: Shanthini, A.Aff4, Manogaran, GunasekaranAff5, Vadivu, G.Aff4

    المساهمون: Shanthini, A.Aff1, Manogaran, GunasekaranAff2, Vadivu, G.Aff3

    المصدر: Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy. :57-60

    أضف إلى المفضلة
  10. 10
    كتاب إلكتروني
    Deep Convolutional Neural Network Applications and Visualization Tools

    المؤلفون: Shanthini, A.Aff4, Manogaran, GunasekaranAff5, Vadivu, G.Aff4

    المساهمون: Shanthini, A.Aff1, Manogaran, GunasekaranAff2, Vadivu, G.Aff3

    المصدر: Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy. :47-56

    أضف إلى المفضلة
أدوات البحث: أحصل على تغذية RSS – أرسل هذا البحث بالبريد الإلكتروني – حفظ البحث – جدول التنبيهات: لا شيء