يعرض 1 - 10 نتائج من 12 نتيجة بحث عن '"Khan, Safdar Sardar"', وقت الاستعلام: 0.86s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Analysis for Predicting Respiratory Diseases from Air Quality Attributes Using Recurrent Neural Networks and Other Deep Learning Techniques.

    المؤلفون: Deo, Arpit1 arpit.deo@medicaps.ac.in, Khan, Safdar Sardar1, Doohan, Nitika Vats1, Jain, Aviral1, Nighoskar, Mitali1, Dandawate, Aditi1

    المصدر: Ingénierie des Systèmes d'Information. Apr2024, Vol. 29 Issue 2, p731-739. 9p.

    مصطلحات موضوعية: *AIR quality, *STANDARD deviations, RECURRENT neural networks, DEEP learning, FEDERATED learning, RESPIRATORY diseases


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  2. 2
    دورية أكاديمية
    A Review of EEG Artifact Removal Methods for Brain-Computer Interface Applications.

    المؤلفون: Khan, Safdar Sardar safdar.cse@gmail.com, Sudan, Jaskirat Singh1, Pathak, Anuj1, Pandit, Rakesh1, Rane, Pinky1, Kumawat, Ashish Kumar1

    المصدر: Ingénierie des Systèmes d'Information. Feb2024, Vol. 29 Issue 1, p247-252. 6p.

    مصطلحات موضوعية: ELECTROENCEPHALOGRAPHY, BRAIN-computer interfaces


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  3. 3
    دورية أكاديمية
    Hybrid Deep Learning Approach for Enhanced Animal Breed Classification and Prediction.

    المؤلفون: Khan, Safdar Sardar1, Doohan, Nitika Vats2, Gupta, Manish2 manish.gupta@gla.ac.in, Jaffari, Sakina2, Chourasia, Ankita2, Joshi, Kriti2, Panchal, Bhupendra3

    المصدر: Traitement du Signal. Oct2023, Vol. 40 Issue 5, p2087-2099. 13p.

    مصطلحات موضوعية: ANIMAL classification, ANIMAL breeding, ANIMAL breeds, DEEP learning, IMAGE recognition (Computer vision), OBJECT recognition (Computer vision)


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  4. 4
    مؤتمر
    Recognising Human Actions Using Long-Term Recurrent Convolutional Network (LRCN)

    المؤلفون: Khan, Safdar Sardar, Deo, Arpit, Baraskar, Kailash Kumar, Gangrade, Aadity, Verma, Aman, Jain, Ansh

    المصدر: 2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG)

    الإتاحة: https://doi.org/10.1109/ictbig59752.2023.10456254Test
    http://xplorestaging.ieee.org/ielx7/10455093/10455752/10456254.pdf?arnumber=10456254Test

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  5. 5
    مؤتمر
    Development of Machine Learning Model for Detection and Diagnosis of Alzheimer's disease. A Comprehensive Review

    المؤلفون: Khan, Safdar Sardar, Patil, Sunil

    المصدر: 2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG)

    الإتاحة: https://doi.org/10.1109/ictbig59752.2023.10455973Test
    http://xplorestaging.ieee.org/ielx7/10455093/10455752/10455973.pdf?arnumber=10455973Test

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  6. 6
    مؤتمر
    Deep Learning Based IDS to Detect Anomaly Over Social Networking Site: Comprehensive Review

    المؤلفون: Khan, Safdar Sardar, Deo, Arpit, Baraskar, Kailash Kumar, Patel, Amit, Pathak, Amritansh, Joshi, Aditya Kumar

    المصدر: 2023 International Conference on Integration of Computational Intelligent System (ICICIS)

    الإتاحة: https://doi.org/10.1109/icicis56802.2023.10430316Test
    http://xplorestaging.ieee.org/ielx7/10430202/10430203/10430316.pdf?arnumber=10430316Test

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  7. 7
    Risks for Conversational AI Security

    المؤلفون: Bhardwaj, Vivek, Khan, Safdar Sardar, Singh, Gurpreet, Patil, Sunil, Kuril, Devendra, Nahar, Sarthak

    المصدر: Conversational Artificial Intelligence ; page 557-587 ; ISBN 9781394200566 9781394200801

    الإتاحة: https://doi.org/10.1002/9781394200801.ch32Test

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  8. 8
    مؤتمر
    A Review on Automatic Parking Space Occupancy Detection

    المؤلفون: Singh, Twinkle, Khan, Safdar Sardar, Chadokar, Surendra

    المصدر: 2018 International Conference on Advanced Computation and Telecommunication (ICACAT)

    الإتاحة: https://doi.org/10.1109/icacat.2018.8933644Test
    http://xplorestaging.ieee.org/ielx7/8931668/8933531/08933644.pdf?arnumber=8933644Test

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  9. 9
    Quantum Computing Anomalies in Communication

    المؤلفون: Ayachit, Anushka, Sharma, Jahanvee, Panchal, Bhupendra, Patil, Sunil, Khan, Safdar Sardar, Beg, Rijvan

    المصدر: Quantum Computing in Cybersecurity ; page 425-439 ; ISBN 9781394166336 9781394167401

    الإتاحة: https://doi.org/10.1002/9781394167401.ch25Test

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  10. 10
    دورية أكاديمية
    Deep Learning-Based Red Blood Cell Classification for Sickle Cell Anemia Diagnosis Using Hybrid CNN-LSTM Model.

    المؤلفون: Deo, Arpit1 (AUTHOR) arpit.deo@medicaps.ac.in, Pandey, Ish1 (AUTHOR), Khan, Safdar Sardar1 (AUTHOR), Mandlik, Aditi1 (AUTHOR), Doohan, Nitika Vats1 (AUTHOR), Panchal, Bhupendra2 (AUTHOR)

    المصدر: Traitement du Signal. Jun2024, Vol. 41 Issue 3, p1293-1301. 9p.

    مصطلحات موضوعية: SICKLE cell anemia, ERYTHROCYTES, THRESHOLDING algorithms, MACHINE learning, DEEP learning, DATA augmentation, FETAL hemoglobin, FEATURE extraction, DEEP brain stimulation


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