Classification of ECG arrhythmia using recurrent neural networks SK Pandey, S Singh, U Pawar, RR Janghel Procedia computer science 132, 1290-1297, 2018 | 254 | 2018 |
Recent deep learning techniques, challenges and its applications for medical healthcare system: a review SK Pandey, RR Janghel Neural Processing Letters 50 (2), 1907-1935, 2019 | 114 | 2019 |
Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE SK Pandey, RR Janghel Australasian physical & engineering sciences in medicine 42 (4), 1129-1139, 2019 | 80 | 2019 |
Patient specific machine learning models for ECG signal classification SK Pandey, RR Janghel, V Vani Procedia Computer Science 167, 2181-2190, 2020 | 73 | 2020 |
ECG arrhythmia classification using artificial neural networks SK Pandey, RR Janghel Proceedings of 2nd International Conference on Communication, Computing and …, 2019 | 32 | 2019 |
Automatic arrhythmia recognition from electrocardiogram signals using different feature methods with long short-term memory network model SK Pandey, RR Janghel Signal, Image and Video Processing 14 (6), 1255-1263, 2020 | 31 | 2020 |
Automated detection of arrhythmia from electrocardiogram signal based on new convolutional encoded features with bidirectional long short-term memory network classifier SK Pandey, RR Janghel Physical and Engineering Sciences in Medicine 44 (1), 173-182, 2021 | 22 | 2021 |
Automated arrhythmia detection from electrocardiogram signal using stacked restricted Boltzmann machine model SK Pandey, RR Janghel, AV Dev, PK Mishra SN Applied Sciences 3 (6), 624, 2021 | 18 | 2021 |
Classification of electrocardiogram signal using an ensemble of deep learning models SK Pandey, RR Janghel Data Technologies and Applications 55 (3), 446-460, 2021 | 15 | 2021 |
ECG arrhythmia detection with machine learning algorithms SK Pandey, VR Sodum, RR Janghel, A Raj Data Engineering and Communication Technology: Proceedings of 3rd ICDECT …, 2020 | 15 | 2020 |
A static machine learning based evaluation method for usability and security analysis in e-commerce website B Kumar, S Roy, KU Singh, SK Pandey, A Kumar, A Sinha, S Shukla, ... IEEE Access, 2023 | 14 | 2023 |
Detection of arrhythmia heartbeats from ECG signal using wavelet transform-based CNN model SK Pandey, A Shukla, S Bhatia, TR Gadekallu, A Kumar, A Mashat, ... International Journal of Computational Intelligence Systems 16 (1), 80, 2023 | 13 | 2023 |
An AI-based medical chatbot model for infectious disease prediction S Chakraborty, H Paul, S Ghatak, SK Pandey, A Kumar, KU Singh, ... Ieee Access 10, 128469-128483, 2022 | 11 | 2022 |
Real-time survivor detection system in SaR missions using robots K Sharma, R Doriya, SK Pandey, A Kumar, GR Sinha, P Dadheech Drones 6 (8), 219, 2022 | 11 | 2022 |
Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities A Kumar, SB Khan, SK Pandey, A Shankar, C Maple, A Mashat, ... Journal of Cloud Computing 12 (1), 92, 2023 | 9 | 2023 |
Automated epilepsy seizure detection from EEG signal based on hybrid CNN and LSTM model SK Pandey, RR Janghel, PK Mishra, MK Ahirwal Signal, Image and Video Processing 17 (4), 1113-1122, 2023 | 9 | 2023 |
Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm GP Shukla, S Kumar, SK Pandey, R Agarwal, N Varshney, A Kumar Big Data Mining and Analytics 6 (4), 504-512, 2023 | 7 | 2023 |
Classification of electrocardiogram signals based on hybrid deep learning models S Bhatia, SK Pandey, A Kumar, A Alshuhail Sustainability 14 (24), 16572, 2022 | 6 | 2022 |
Early detection of obstacle to optimize the robot path planning K Sharma, C Swarup, SK Pandey, A Kumar, R Doriya, KU Singh, T Singh Drones 6 (10), 265, 2022 | 6 | 2022 |
Runoff prediction using Big Data analytics based on ARIMA Model V Dhote, S Mishra, JP Shukla, SK Pandey NISCAIR-CSIR, India, 2018 | 6 | 2018 |