Rezultati - Akash Kumar Bhoi

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  1. 1
    Machine Learning Methods with Decision Forests for Parkinson’s Detection

    Machine Learning Methods with Decision Forests for Parkinson’s Detection od Moumita Pramanik, Ratika Pradhan, Parvati Nandy, Akash Kumar Bhoi, Paolo Barsocchi

    Izdano 2021
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  2. 2
    An Augmented Modulated Deep Learning Based Intelligent Predictive Model for Brain Tumor Detection Using GAN Ensemble

    An Augmented Modulated Deep Learning Based Intelligent Predictive Model for Brain Tumor Detection Using GAN Ensemble od Saswati Sahoo, Sushruta Mishra, Baidyanath Panda, Akash Kumar Bhoi, Paolo Barsocchi

    Izdano 2023
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  3. 3
    SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN

    SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN od Saswati Sahoo, Sushruta Mishra, Biswajit Brahma, Paola Barsocchi, Akash Kumar Bhoi

    Izdano 2024
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  4. 4
    Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal

    Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal od Santosh Kumar Satapathy, Akash Kumar Bhoi, D. Loganathan, Bidita Khandelwal, Paolo Barsocchi

    Izdano 2021
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  5. 5
    An Improvised Deep-Learning-Based Mask R-CNN Model for Laryngeal Cancer Detection Using CT Images

    An Improvised Deep-Learning-Based Mask R-CNN Model for Laryngeal Cancer Detection Using CT Images od Pravat Kumar Sahoo, Sushruta Mishra, Ranjit Panigrahi, Akash Kumar Bhoi, Paolo Barsocchi

    Izdano 2022
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  6. 6
    Machine learning-empowered sleep staging classification using multi-modality signals

    Machine learning-empowered sleep staging classification using multi-modality signals od Santosh Kumar Satapathy, Biswajit Brahma, Baidyanath Panda, Paolo Barsocchi, Akash Kumar Bhoi

    Izdano 2024
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  7. 7
    EAGA-MLP—An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis

    EAGA-MLP—An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis od Sushruta Mishra, Hrudaya Kumar Tripathy, Pradeep Kumar Mallick, Akash Kumar Bhoi, Paolo Barsocchi

    Izdano 2020
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  8. 8
    Performance Evaluation of a Proposed Machine Learning Model for Chronic Disease Datasets Using an Integrated Attribute Evaluator and an Improved Decision Tree Classifier

    Performance Evaluation of a Proposed Machine Learning Model for Chronic Disease Datasets Using an Integrated Attribute Evaluator and an Improved Decision Tree Classifier od Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy, Akash Kumar Bhoi, Alfonso González‐Briones

    Izdano 2020
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  9. 9
    Modified U-NET Architecture for Segmentation of Skin Lesion

    Modified U-NET Architecture for Segmentation of Skin Lesion od Vatsala Anand, Sheifali Gupta, Deepika Koundal, Soumya Ranjan Nayak, Paolo Barsocchi, Akash Kumar Bhoi

    Izdano 2022
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  10. 10
    An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes

    An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes od M. Jishnu Sai, Pratiksha Chettri, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Paolo Barsocchi

    Izdano 2023
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  11. 11
    Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

    Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM od Parvathaneni Naga Srinivasu, Jalluri Gnana SivaSai, Muhammad Fazal Ijaz, Akash Kumar Bhoi, Wonjoon Kim, James Jin Kang

    Izdano 2021
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