يعرض 1 - 10 نتائج من 66 نتيجة بحث عن '"Theerthagiri, Prasannavenkatesan"', وقت الاستعلام: 1.00s تنقيح النتائج
  1. 1
    مؤتمر
    ARIMA Time Series Modelling for Energy Forecasting in Wireless Sensor Networks

    المؤلفون: Pugalendhi, Ganeshkumar, Theerthagiri, Prasannavenkatesan, Ruby, A. Usha

    المصدر: 2024 IEEE Conference on Artificial Intelligence (CAI) CAI Artificial Intelligence (CAI), 2024 IEEE Conference on. :220-225 Jun, 2024

    Relation: 2024 IEEE Conference on Artificial Intelligence (CAI)

    أضف إلى المفضلة
  2. 2
    مؤتمر
    Deepfake Face Detection Using Deep InceptionNet Learning Algorithm

    المؤلفون: Theerthagiri, Prasannavenkatesan, Nagaladinne, Ghouse basha

    المصدر: 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) Electrical, Electronics and Computer Science (SCEECS), 2023 IEEE International Students' Conference on. :1-6 Feb, 2023

    Relation: 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)

    Full Text Finder
    أضف إلى المفضلة
  3. 3
    مؤتمر
    Performance Analysis of AI-based Learning Models on Leaf Disease Prediction

    المؤلفون: Tabassum, Husna, Theerthagiri, Prasannavenkatesan

    المصدر: 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C) Circuits, Control, Communication and Computing (I4C), 2022 4th International Conference on. :85-88 Dec, 2022

    Relation: 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C)

    أضف إلى المفضلة
  4. 4
    دورية أكاديمية
    RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification

    المؤلفون: Theerthagiri, PrasannavenkatesanAff1, IDs11042023178251_cor1, Devarayapattana Siddalingaiah, Sahana

    المصدر: Multimedia Tools and Applications: An International Journal. 83(20):59021-59042

    Find this article in full text from Springer Verlag. Full Text Finder
    أضف إلى المفضلة
  5. 5
    دورية أكاديمية
    Forecasting PM2.5 Concentration Using Gradient-Boosted Regression Tree with CNN Learning Model

    المؤلفون: Usha Ruby, A., Chandran, J. George Chellin, Theerthagiri, PrasannavenkatesanAff3, IDS1060992X24010107_cor3, Patil, Renuka, Chaithanya, B. N., Jain, T. J. Swasthika

    المصدر: Optical Memory and Neural Networks: (Information Optics). 33(1):86-96

    Find this article in full text from Springer Verlag. Full Text Finder
    أضف إلى المفضلة
  6. 6
    دورية أكاديمية
    Prediction and classification of minerals using deep residual neural network

    المؤلفون: Theerthagiri, PrasannavenkatesanAff1, IDs00521023091414_cor1, Ruby, A. Usha, George Chellin Chandran, J.

    المصدر: Neural Computing and Applications. 36(4):1539-1551

    Find this article in full text from Springer Verlag. Full Text Finder
    أضف إلى المفضلة
  7. 7
    دورية أكاديمية
    D-Resnet: deep residual neural network for exploration, identification, and classification of beach sand minerals

    المؤلفون: Theerthagiri, PrasannavenkatesanAff1, IDs11042023160853_cor1, Ruby, A. Usha, Chaithanya, B. N., Patil, Renuka R, Jain, Swasthika

    المصدر: Multimedia Tools and Applications: An International Journal. 83(5):14539-14563

    Find this article in full text from Springer Verlag. Full Text Finder
    أضف إلى المفضلة
  8. 8
    دورية أكاديمية
    A deep learning model to assist visually impaired in pothole detection using computer vision

    المؤلفون: Paramarthalingam, Arjun, Sivaraman, Jegan, Theerthagiri, Prasannavenkatesan, Vijayakumar, Balaji, Baskaran, Vignesh

    المصدر: In Decision Analytics Journal September 2024 12

    Full Text Finder
    أضف إلى المفضلة
  9. 9
    دورية أكاديمية
    Seasonal learning based ARIMA algorithm for prediction of Brent oil Price trends

    المؤلفون: Theerthagiri, PrasannavenkatesanAff1, IDs1104202314819x_cor1, Ruby, A. Usha

    المصدر: Multimedia Tools and Applications: An International Journal. 82(16):24485-24504

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  10. 10
    تقرير
    Cardiovascular Disease Prediction using Recursive Feature Elimination and Gradient Boosting Classification Techniques

    المؤلفون: Theerthagiri, Prasannavenkatesan, J, Vidya

    مصطلحات موضوعية: Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2106.08889

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