A review on mental stress detection using wearable sensors and machine learning techniques S Gedam, S Paul IEEE Access 9, 84045-84066, 2021 | 337 | 2021 |
Classification of Pima indian diabetes dataset using naive bayes with genetic algorithm as an attribute selection DK Choubey, S Paul, S Kumar, S Kumar Communication and computing systems: proceedings of the international …, 2017 | 140 | 2017 |
Classification of depression patients and normal subjects based on electroencephalogram (EEG) signal using alpha power and theta asymmetry S Mahato, S Paul Journal of medical systems 44, 1-8, 2020 | 135 | 2020 |
Detection of major depressive disorder using linear and non-linear features from EEG signals S Mahato, S Paul Microsystem Technologies 25, 1065-1076, 2019 | 116 | 2019 |
Task scheduling in cloud computing RM Singh, S Paul, A Kumar International Journal of Computer Science and Information Technologies 5 (6 …, 2014 | 114 | 2014 |
GA_MLP NN: a hybrid intelligent system for diabetes disease diagnosis DK Choubey, S Paul International Journal of Intelligent Systems and Applications 8 (1), 49-59, 2016 | 96 | 2016 |
Big Data analysis: Challenges and solutions PS Duggal, S Paul International conference on cloud, big data and trust 15, 269-276, 2013 | 90 | 2013 |
Detection of depression and scaling of severity using six channel EEG data S Mahato, N Goyal, D Ram, S Paul Journal of medical systems 44, 1-12, 2020 | 86 | 2020 |
Electroencephalogram (EEG) signal analysis for diagnosis of major depressive disorder (MDD): a review S Mahato, S Paul Nanoelectronics, Circuits and Communication Systems: Proceeding of NCCS 2017 …, 2019 | 72 | 2019 |
GA_RBF NN: a classification system for diabetes DK Choubey, S Paul International Journal of Biomedical Engineering and Technology 23 (1), 71-93, 2017 | 58 | 2017 |
Classification techniques for diagnosis of diabetes: a review DK Choubey, S Paul International Journal of Biomedical Engineering and Technology 21 (1), 15-39, 2016 | 49 | 2016 |
Ensemble learning framework with GLCM texture extraction for early detection of lung cancer on CT images SA Althubiti, S Paul, R Mohanty, SN Mohanty, F Alenezi, K Polat Computational and Mathematical Methods in Medicine 2022 (1), 2733965, 2022 | 46 | 2022 |
Soft computing and data mining techniques for thunderstorms and lightning prediction: a survey K Bala, DK Choubey, S Paul 2017 international conference of Electronics, Communication and Aerospace …, 2017 | 43 | 2017 |
Message transmission based on DNA cryptography T Anwar, S Paul, SK Singh International Journal of Bio-Science and Bio-Technology 6 (5), 215-222, 2014 | 37 | 2014 |
GA_J48graft DT: a hybrid intelligent system for diabetes disease diagnosis DK Choubey, S Paul International Journal of Bio-Science and Bio-Technology 7 (5), 135-150, 2015 | 36 | 2015 |
Automatic stress detection using wearable sensors and machine learning: A review S Gedam, S Paul 2020 11th International Conference on Computing, Communication and …, 2020 | 33 | 2020 |
Deep learning approach for negation handling in sentiment analysis PK Singh, S Paul IEEE Access 9, 102579-102592, 2021 | 32 | 2021 |
Rule based diagnosis system for diabetes DK Choubey, S Paul, VK Dhandhenia An International Journal of Medical Sciences 28 (12), 5196-5208, 2017 | 30 | 2017 |
Variations of the anterior cerebral artery in human cadavers: a dissection study S Paul, S Mishra J Anat Soc India 53 (1), 15-16, 2004 | 30 | 2004 |
DNA cryptography based on symmetric key exchange T Anwar, A Kumar, S Paul International Journal of Engineering and Technology (IJET’15) 7 (3), 938-950, 2015 | 29 | 2015 |