Predicting anxiety, depression and stress in modern life using machine learning algorithms A Priya, S Garg, NP Tigga Procedia Computer Science 167, 1258-1267, 2020 | 336 | 2020 |
Prediction of type 2 diabetes using machine learning classification methods NP Tigga, S Garg Procedia Computer Science 167, 706-716, 2020 | 317 | 2020 |
Breast cancer prediction using varying parameters of machine learning models P Gupta, S Garg Procedia Computer Science 171, 593-601, 2020 | 133 | 2020 |
Assessment of anxiety, depression and stress using machine learning models P Kumar, S Garg, A Garg Procedia Computer Science 171, 1989-1998, 2020 | 96 | 2020 |
Multilevel medical image fusion using segmented image by level set evolution with region competition S Garg, KU Kiran, R Mohan, US Tiwary 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 7680-7683, 2006 | 47 | 2006 |
Comparison of content based image retrieval systems using wavelet and curvelet transform S Das, S Garg, G Sahoo The International Journal of Multimedia & Its Applications 4 (4), 137, 2012 | 35 | 2012 |
Ai-based resource allocation techniques in wireless sensor internet of things networks in energy efficiency with data optimization QW Ahmed, S Garg, A Rai, M Ramachandran, NZ Jhanjhi, M Masud, ... Electronics 11 (13), 2071, 2022 | 33 | 2022 |
Optimizing cellulase production from Aspergillus flavus using response surface methodology and machine learning models A Singhal, N Kumari, P Ghosh, Y Singh, S Garg, MP Shah, PK Jha, ... Environmental Technology & Innovation 27, 102805, 2022 | 32 | 2022 |
Autoregressive integrated moving average model based prediction of bitcoin close price S Garg 2018 international conference on smart systems and inventive technology …, 2018 | 27 | 2018 |
Predicting type 2 diabetes using logistic regression NP Tigga, S Garg Proceedings of the Fourth International Conference on Microelectronics …, 2021 | 20 | 2021 |
Comparison of machine learning algorithms for content based personality resolution of tweets S Garg, A Garg Social Sciences & Humanities Open 4 (1), 100178, 2021 | 17 | 2021 |
An overlapping sliding window and combined features based emotion recognition system for EEG signals S Garg, RK Patro, S Behera, NP Tigga, R Pandey Applied Computing and Informatics, 2021 | 16 | 2021 |
Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals NP Tigga, S Garg Health Information Science and Systems 11 (1), 1, 2022 | 9 | 2022 |
A comparison of prediction capabilities of Bayesian regularization and Levenberg–Marquardt training algorithms for cryptocurrencies A Priya, S Garg Smart Intelligent Computing and Applications: Proceedings of the Third …, 2020 | 9 | 2020 |
Automatic text summarization of video lectures using subtitles S Garg Recent Developments in Intelligent Computing, Communication and Devices …, 2017 | 9 | 2017 |
Optimizing pretreatment of Leucaena leucocephala using artificial neural networks (ANNs) N Kumari, S Garg, A Singhal, M Kumar, M Bhattacharya, PK Jha, ... Bioresource technology reports 7, 100289, 2019 | 8 | 2019 |
Assessment of the Impact of Personality Characteristic on Emotion Resilience S Garg, R Pandey, A Gara 2022 8th International Conference on Advanced Computing and Communication …, 2022 | 6 | 2022 |
Crack classification and interpolation of old digital paintings S Garg, G Sahoo Journal of Computer Sciences and Applications 1 (5), 85-90, 2013 | 6 | 2013 |
A comparative study of classification methods for cracks in old digital paintings S Garg, G Sahoo Int. Conf. on Emerging Trends in Engineering and Technology, 2013 | 6 | 2013 |
S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram A Abgeena, S Garg Health Information Science and Systems 11 (1), 40, 2023 | 5 | 2023 |