Deep learning techniques for biomedical and health informatics S Dash, BR Acharya, M Mittal, A Abraham, A Kelemen Springer International Publishing, 2020 | 98 | 2020 |
A Neuro-fuzzy approach for user behaviour classification and prediction S Dash, AK Luhach, N Chilamkurti, S Baek, Y Nam Journal of Cloud Computing 8 (1), 1-15, 2019 | 85 | 2019 |
BIFM: big-data driven intelligent forecasting model for COVID-19 S Dash, C Chakraborty, SK Giri, SK Pani, J Frnda IEEE Access 9, 97505-97517, 2021 | 68 | 2021 |
Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics S Dash, C Chakraborty, SK Giri, SK Pani Pattern Recognition Letters 151, 69-75, 2021 | 67 | 2021 |
Edge and fog computing in healthcare–A review S Dash, S Biswas, D Banerjee, AUR Rahman Scalable Computing: Practice and Experience 20 (2), 191-206, 2019 | 60 | 2019 |
Predicting and diagnosing of heart disease using machine learning algorithms SK Sen International Journal of Engineering and Computer Science 6 (6), 21623-21631, 2017 | 54 | 2017 |
Application of meta learning algorithms for the prediction of diabetes disease SK Sen, S Dash International Journal of Advance Research in Computer Science and Management …, 2014 | 50 | 2014 |
A deep learning approach to intelligent fruit identification and family classification NM Ibrahim, DGI Gabr, A Rahman, S Dash, A Nayyar Multimedia Tools and Applications 81 (19), 27783-27798, 2022 | 42 | 2022 |
Dynamic MODCOD and power allocation in DVB-S2: a hybrid intelligent approach A Rahman, S Dash, AK Luhach Telecommunication Systems 76 (1), 49-61, 2021 | 38 | 2021 |
Data mining for student’s trends analysis using Apriori algorithm A Rahman, S Dash International Journal of Control Theory and Applications 10 (18), 107-115, 2017 | 34 | 2017 |
Detection of defects in fabrics using topothesy fractal dimension features M Hanmandlu, D Choudhury, S Dash Signal, Image and video processing 9, 1521-1530, 2015 | 34 | 2015 |
A hybrid data mining technique for improving the classification accuracy of microarray data set S Dash, B Patra, BK Tripathy International Journal of Information Engineering and Electronic Business 4 …, 2012 | 34 | 2012 |
Hybrid chaotic firefly decision making model for Parkinson’s disease diagnosis S Dash, A Abraham, AK Luhach, J Mizera-Pietraszko, JJPC Rodrigues International Journal of Distributed Sensor Networks 16 (1), 1550147719895210, 2020 | 33 | 2020 |
Mobile cloud computing: a green perspective S Dash, M Ahmad, T Iqbal Intelligent Systems: Proceedings of ICMIB 2020, 523-533, 2021 | 32 | 2021 |
Ensemble based hybrid machine learning approach for sentiment classification-a review RN Behera, M Roy, S Dash International Journal of Computer Applications 146 (6), 31-36, 2016 | 30 | 2016 |
Ensemble comparative study for diagnosis of breast cancer datasets B Sahu, S Dash, SN Mohanty, SK Rout International Journal of Engineering & Technology 7 (4.15), 281-285, 2018 | 27 | 2018 |
Evaluation of Azolla caroliniana for inclusion in carp diet. SN Mohanty, SP Dash | 26 | 1995 |
Blockchain technology: introduction, applications, challenges AK Jena, SP Dash Blockchain Technology: Applications and Challenges, 1-11, 2021 | 25 | 2021 |
Modified firefly algorithm with chaos theory for feature selection: A predictive model for medical data S Dash, R Thulasiram, P Thulasiraman International Journal of Swarm Intelligence Research (IJSIR) 10 (2), 1-20, 2019 | 25 | 2019 |
AI, edge and IoT-based smart agriculture A Abraham, S Dash, JJPC Rodrigues, B Acharya, SK Pani Academic Press, 2021 | 22 | 2021 |