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Subhranginee Das
Subhranginee Das
Assistant professor,KL University
Verified email at klh.edu.in
Title
Cited by
Cited by
Year
Modeling and forecasting cryptocurrency closing prices with rao algorithm-based artificial neural networks: A machine learning approach
SK Nayak, SC Nayak, S Das
FinTech 1 (1), 47-62, 2021
132021
Tlbo-fln: Teaching-learning based optimization of functional link neural networks for stock closing price prediction
SC Nayak, S Das, MD Ansari
International Journal of Sensors Wireless Communications and Control 10 (4 …, 2020
132020
Towards crafting optimal functional link artificial neural networks with RAO algorithms for stock closing prices prediction
S Das, SC Nayak, B Sahoo
Computational Economics 60 (1), 1-23, 2022
102022
Smart sales prediction of pharmaceutical products
SR Dutta, S Das, P Chatterjee
2022 8th International Conference on Smart Structures and Systems (ICSSS), 1-6, 2022
82022
Development and performance analysis of fireworks algorithm-trained artificial neural network (FWANN): A case study on financial time series forecasting
SC Nayak, S Das, BB Misra
Research Anthology on Artificial Neural Network Applications, 146-165, 2022
62022
AEFA-ANN: Artificial electric field algorithm-based artificial neural networks for forecasting crude oil prices
SC Nayak, S Das, B Sahoo, B Satyanarayana
Embracing Machines and Humanity Through Cognitive Computing and IoT, 87-94, 2023
42023
A GA-based polynomial FLANN with exploration and incorporation of virtual data points for financial time series forecasting
BS Sanjib Kumar Nayak Subhranginee Das, Sarat Chandra Nayak
International Journal of Recent Technology and Engineering 7 (6S), 9, 2019
4*2019
An elitist artificial electric field algorithm based random vector functional link network for cryptocurrency prices forecasting
SC Nayak, S Das, S Dehuri, SB Cho
IEEE Access, 2023
32023
Modeling and forecasting stock closing prices with hybrid functional link artificial neural network
S Das, SC Nayak, B Sahoo
Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021, 249-259, 2022
22022
Estimation of compressive strength of concrete cement using random vector functional link networks: a case study
SC Nayak, S Das, BB Misra, SB Cho
Soft Computing, 1-16, 2023
2023
Predictive Ability of FLANN on BSE Index
BS SC Nayak S Das
Journal of Pure and Applied Mathematics 118 (special issue), 2018
2018
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