Sökresultat - "Disease severity"

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  1. 1
    Revolutionizing Healthcare: Advance AI-Driven Multi-Disease Prediction and Personalized Nutrition Guidance through Retinal Biomarkers

    Revolutionizing Healthcare: Advance AI-Driven Multi-Disease Prediction and Personalized Nutrition Guidance through Retinal Biomarkers

    S, Sree Subha, K R, Sowmia, V, Nikhilesh, K P, Nithya Shree

    2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)

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  2. 2
    Leaf Level Ash Dieback Disease Detection and Online Severity Estimation With UAVs

    Leaf Level Ash Dieback Disease Detection and Online Severity Estimation With UAVs

    Bates, E., Popovic, M., Marsh, C., Clark, R., Kovac, M., Bahadir Kocer, B.

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  3. 3
    Redefining Disease Assessment in Raspberries: A Hybrid GAN-SVM Model for Detailed Intensity Measurement

    Redefining Disease Assessment in Raspberries: A Hybrid GAN-SVM Model for Detailed Intensity Measurement

    Arora, Dinesh, Sharma, Deepika, Sharma, Avinash, Goyal, Parul

    2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS)

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  4. 4
    Identification and severity classification of tomato diseases based on two-stage network model

    Identification and severity classification of tomato diseases based on two-stage network model

    Liu, Kai, Wu, Mingge, Shen, Yunde

    2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

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  5. 5
    Optimized Feature Engineering and Machine Learning Methods for Heart Disease Prediction

    Optimized Feature Engineering and Machine Learning Methods for Heart Disease Prediction

    Naureen, Irum, Srilatha, P.

    2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)

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  6. 6
    Branching Out: A Simple 5-Level Classification of Magnolia Scale Diseases Using a Combination of CNN and DT Models

    Branching Out: A Simple 5-Level Classification of Magnolia Scale Diseases Using a Combination of CNN and DT Models

    Sharma, Rishabh, Nagpal, Manish

    2024 5th IEEE Global Conference for Advancement in Technology (GCAT)

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  7. 7
    Quantifying Cherry Leaf Spot Disease Severity: Using a mix of CNN and Gradient Boosting in Deep Learning Model

    Quantifying Cherry Leaf Spot Disease Severity: Using a mix of CNN and Gradient Boosting in Deep Learning Model

    Sharma, Rishabh, Minhas, Deepak

    2024 5th IEEE Global Conference for Advancement in Technology (GCAT)

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  8. 8
    GAN and MobileNet Based Classification of Disease Severity of Septoria Leaf Spot in Tomato Crop

    GAN and MobileNet Based Classification of Disease Severity of Septoria Leaf Spot in Tomato Crop

    Patil, Shristhi, Mallika, H., Indira, K., Hegde, Gurudatt, M R, Swati

    2024 5th International Conference on Circuits, Control, Communication and Computing (I4C)

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  9. 9
    Predicting Lung Disease Severity via Image-Based AQI Analysis using Deep Learning Techniques

    Predicting Lung Disease Severity via Image-Based AQI Analysis using Deep Learning Techniques

    Mahajan, Anvita, Mate, Sayali, Vaidya, Himadri, Kulkarni, Chinmayee, Sawant, Suraj

    2024 Asian Conference on Intelligent Technologies (ACOIT)

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  10. 10
    Elevating Precision in Eucalyptus Rust Severity Classification: CNN-GNN Integration

    Elevating Precision in Eucalyptus Rust Severity Classification: CNN-GNN Integration

    Sharma, Rishabh, Grover, Madhur

    2024 4th Asian Conference on Innovation in Technology (ASIANCON)

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  11. 11
    Smart Wearable Devices for Prediction Using Machine Learning Techniques: Depth Exploration

    Smart Wearable Devices for Prediction Using Machine Learning Techniques: Depth Exploration

    Mary, L. William, Antony Raj, S. Albert

    2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT)

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  12. 12
    A Regression Framework for Predicting Cognitive Decline in Frontotemporal Dementia using Recurrent Neural Networks

    A Regression Framework for Predicting Cognitive Decline in Frontotemporal Dementia using Recurrent Neural Networks

    Poonam, Km, Guha, Rajlakshmi, Chakrabarti, Partha P

    2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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  13. 13
    Utilizing CNN and RF Models for Multi-Level Classification: Understanding Beetroot Aphid Disease Severity

    Utilizing CNN and RF Models for Multi-Level Classification: Understanding Beetroot Aphid Disease Severity

    Kaur, Arshleen, Sharma, Rishabh, Thapliyal, Nitin, Manwal, Manika

    2024 2nd World Conference on Communication & Computing (WCONF)

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  14. 14
    Enhancing English Oak Disease Detection and Classification Using CNN-RNN Hybrid Model: A Comprehensive Five-Class Approach

    Enhancing English Oak Disease Detection and Classification Using CNN-RNN Hybrid Model: A Comprehensive Five-Class Approach

    Sharma, Rishabh, Singh, Satyendra

    2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)

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  15. 15
    Fine-Grained Analysis of Birch Leafminer Disease: Varying Severity Five Class Ensemble Twin CNN Model

    Fine-Grained Analysis of Birch Leafminer Disease: Varying Severity Five Class Ensemble Twin CNN Model

    Yashu, Kukreja, Vinay, Tiwari, Pallavi, Aeri, Manisha, Sharma, Rishabh

    2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)

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  16. 16
    Combining CNN and VGG16: A Novel Deep Learning Approach to Onion Purple Blotch Disease Severity Classification

    Combining CNN and VGG16: A Novel Deep Learning Approach to Onion Purple Blotch Disease Severity Classification

    Rana, Samir, Manwal, Manika, Kukreja, Vinay, Sharma, Rishabh

    2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)

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  17. 17
    Overstepping Existing Classifications: Deciphering Five Severity Tiers in Sugar Maple Tar Spot Disease Through Integrated CNN-GAN Models

    Overstepping Existing Classifications: Deciphering Five Severity Tiers in Sugar Maple Tar Spot Disease Through Integrated CNN-GAN Models

    Yashu, Kukreja, Vinay, Kumar, Mukesh, Manwal, Manika

    2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)

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  18. 18
    Enhancing Green Bean Anthracnose Severity Detection via Integrated CNN-LSTM Models

    Enhancing Green Bean Anthracnose Severity Detection via Integrated CNN-LSTM Models

    Dhawan, Nikhil, Sharma, Rishabh, Chattopadhyay, Saumitra, Choudhary, Ankur, Jain, Vishal

    2024 4th International Conference on Intelligent Technologies (CONIT)

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  19. 19
    Integrating Convolutional Neural Networks and Random Forest for Accurate Grading of Rice Spot Disease Severity

    Integrating Convolutional Neural Networks and Random Forest for Accurate Grading of Rice Spot Disease Severity

    Kaur, Arshleen, Sharma, Rishabh, Upadhyay, Deepak, Aeri, Manisha

    2024 5th International Conference for Emerging Technology (INCET)

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  20. 20
    Hybrid CNN-RNN Modelling for Precisely Classifying the Seriousness of Mustard White Rust Disease at Five Levels

    Hybrid CNN-RNN Modelling for Precisely Classifying the Seriousness of Mustard White Rust Disease at Five Levels

    Jain, Raghav, Kukreja, Vinay, Chattopadhyay, Saumitra, Verma, Aditya, Sharma, Rishabh

    2024 5th International Conference for Emerging Technology (INCET)

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