Sujata Dash, IEEE Senior Member
Sujata Dash, IEEE Senior Member
Professor, Nagaland University, Dimapur, Nagaland
Verified email at - Homepage
Cited by
Cited by
Deep learning techniques for biomedical and health informatics
S Dash, BR Acharya, M Mittal, A Abraham, A Kelemen
Springer International Publishing, 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
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
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
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
Predicting and diagnosing of heart disease using machine learning algorithms
SK Sen
International Journal of Engineering and Computer Science 6 (6), 21623-21631, 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
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
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
Mobile cloud computing: a green perspective
S Dash, M Ahmad, T Iqbal
Intelligent Systems: Proceedings of ICMIB 2020, 523-533, 2021
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
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
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
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
Ensemble based hybrid machine learning approach for sentiment classification-a review
RN Behera, R Manan, S Dash
International Journal of Computer Applications 146 (6), 31-36, 2016
Evaluation of Azolla caroliniana for inclusion in carp diet.
SN Mohanty, SP Dash
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
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
Blockchain technology: introduction, applications, challenges
AK Jena, SP Dash
Blockchain Technology: Applications and Challenges, 1-11, 2021
AI, edge and IoT-based smart agriculture
A Abraham, S Dash, JJPC Rodrigues, B Acharya, SK Pani
Academic Press, 2021
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