Ngā hua rapu - 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 mā Moumita Pramanik, Ratika Pradhan, Parvati Nandy, Akash Kumar Bhoi, Paolo Barsocchi

    I whakaputaina 2021
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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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 mā Saswati Sahoo, Sushruta Mishra, Baidyanath Panda, Akash Kumar Bhoi, Paolo Barsocchi

    I whakaputaina 2023
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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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 mā Saswati Sahoo, Sushruta Mishra, Biswajit Brahma, Paola Barsocchi, Akash Kumar Bhoi

    I whakaputaina 2024
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    Artigo
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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 mā Santosh Kumar Satapathy, Akash Kumar Bhoi, D. Loganathan, Bidita Khandelwal, Paolo Barsocchi

    I whakaputaina 2021
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    Artigo
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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 mā Pravat Kumar Sahoo, Sushruta Mishra, Ranjit Panigrahi, Akash Kumar Bhoi, Paolo Barsocchi

    I whakaputaina 2022
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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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 mā Santosh Kumar Satapathy, Biswajit Brahma, Baidyanath Panda, Paolo Barsocchi, Akash Kumar Bhoi

    I whakaputaina 2024
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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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 mā Sushruta Mishra, Hrudaya Kumar Tripathy, Pradeep Kumar Mallick, Akash Kumar Bhoi, Paolo Barsocchi

    I whakaputaina 2020
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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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 mā Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy, Akash Kumar Bhoi, Alfonso González‐Briones

    I whakaputaina 2020
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  9. 9
    Modified U-NET Architecture for Segmentation of Skin Lesion

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

    I whakaputaina 2022
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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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 mā M. Jishnu Sai, Pratiksha Chettri, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Paolo Barsocchi

    I whakaputaina 2023
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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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 mā Parvathaneni Naga Srinivasu, Jalluri Gnana SivaSai, Muhammad Fazal Ijaz, Akash Kumar Bhoi, Wonjoon Kim, James Jin Kang

    I whakaputaina 2021
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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