Gösterilen 1 - 10 sonuçlar arası kayıtlar. 10 sonuç. Aranan kelime 'R. Menaka', Sorgu süresi: 0.03s Sonuçları Daraltın
  1. 1
    An Explainable Machine Learning Network for Classification of Autism Spectrum Disorder Using Optimal Frequency Band Identification From Brain EEG

    An Explainable Machine Learning Network for Classification of Autism Spectrum Disorder Using Optimal Frequency Band Identification From Brain EEG Yazar: S. Saranya, R. Menaka

    Baskı/Yayın Bilgisi 2025-01-01
    Tam Metin Erişim
    Makale
  2. 2
    A Quantum-Based Machine Learning Approach for Autism Detection Using Common Spatial Patterns of EEG Signals

    A Quantum-Based Machine Learning Approach for Autism Detection Using Common Spatial Patterns of EEG Signals Yazar: S. Saranya, R. Menaka

    Baskı/Yayın Bilgisi 2025-01-01
    Tam Metin Erişim
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  3. 3
    Neuro-Inspired Spiking Classifier for Trajectory-Optimized Diastasis Recti Rehabilitation With Wearable IMU Sensor

    Neuro-Inspired Spiking Classifier for Trajectory-Optimized Diastasis Recti Rehabilitation With Wearable IMU Sensor Yazar: P. Vinitha Joshy, R. Menaka

    Baskı/Yayın Bilgisi 2024-01-01
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  4. 4
    IMAGE PROCESSING FOR DETECTION OF ORAL WHITE SPONGE NEVUS LESIONS

    IMAGE PROCESSING FOR DETECTION OF ORAL WHITE SPONGE NEVUS LESIONS Yazar: Rajdeep Mitra, R Karthik, Koushik Pal, R Menaka

    Baskı/Yayın Bilgisi 2016-12-01
    Tam Metin Erişim
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  5. 5
    Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment

    Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment Yazar: R. Karthik, R. Menaka, P. Kishore, R. Aswin, Charan Vikram

    Baskı/Yayın Bilgisi 2024-01-01
    Tam Metin Erişim
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  6. 6
    A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network

    A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network Yazar: R. Karthik, R. Menaka, Shivansh Atre, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

    Baskı/Yayın Bilgisi 2024-01-01
    Tam Metin Erişim
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  7. 7
    Optimized Sample Adaptive Offset Filter in HEVC

    Optimized Sample Adaptive Offset Filter in HEVC Yazar: N. Archana, R. Menaka, P. T. Vasanth Raj, G. Keerthivasan, N. Kumar

    Baskı/Yayın Bilgisi 2022-01-01
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  8. 8
    GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification

    GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification Yazar: R. Karthik, R. Menaka, S. Ompirakash, P. Bala Murugan, M. Meenakashi, Sindhia Lingaswamy, Daehan Won

    Baskı/Yayın Bilgisi 2024-01-01
    Tam Metin Erişim
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  9. 9
    Corrections to “GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification”

    Corrections to “GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification” Yazar: R. Karthik, R. Menaka, S. Ompirakash, P. Bala Murugan, M. Meenakashi, Sindhia Lingaswamy, Daehan Won

    Baskı/Yayın Bilgisi 2025-01-01
    Tam Metin Erişim
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  10. 10
    A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases

    A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases Yazar: R. Karthik, Gadige Vishnu Vardhan, Shreyansh Khaitan, R. N. R. Harisankar, R. Menaka, Sindhia Lingaswamy, Daehan Won

    Baskı/Yayın Bilgisi 2024-06-01
    Tam Metin Erişim
    Makale

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