Suivre
Indranil Ghosh
Indranil Ghosh
IT & ANALYTICS Area, IMT Hyderabad
Adresse e-mail validée de imthyderabad.edu.in
Titre
Citée par
Citée par
Année
Artificial neural network and time series modeling based approach to forecasting the exchange rate in a multivariate framework
TD Chaudhuri, I Ghosh
arXiv preprint arXiv:1607.02093, 2016
1112016
Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms
I Ghosh, RK Jana, MK Sanyal
Applied Soft Computing 82, 105553, 2019
612019
A differential evolution-based regression framework for forecasting Bitcoin price
RK Jana, I Ghosh, D Das
Annals of Operations Research 306 (1), 295-320, 2021
562021
Co-movement and dynamic correlation of financial and energy markets: An integrated framework of nonlinear dynamics, wavelet analysis and DCC-GARCH
I Ghosh, MK Sanyal, RK Jana
Computational Economics 57 (2), 503-527, 2021
562021
Introspecting predictability of market fear in Indian context during COVID-19 pandemic: An integrated approach of applied predictive modelling and explainable AI
I Ghosh, MK Sanyal
International Journal of Information Management Data Insights 1 (2), 100039, 2021
522021
Dynamical effects of electromagnetic flux on chialvo neuron map: nodal and network behaviors
SS Muni, HO Fatoyinbo, I Ghosh
International Journal of Bifurcation and Chaos 32 (09), 2230020, 2022
512022
Taming energy and electronic waste generation in bitcoin mining: Insights from Facebook prophet and deep neural network
RK Jana, I Ghosh, MW Wallin
Technological Forecasting and Social Change 178, 121584, 2022
492022
FEB-stacking and FEB-DNN models for stock trend prediction: a performance analysis for pre and post covid-19 periods
I Ghosh, TD Chaudhuri
Decision Making: Applications in Management and Engineering 4 (1), 51-84, 2021
492021
A granular deep learning approach for predicting energy consumption
RK Jana, I Ghosh, MK Sanyal
Applied Soft Computing 89, 106091, 2020
472020
Forecasting volatility in Indian stock market using artificial neural network with multiple inputs and outputs
TD Chaudhuri, I Ghosh
arXiv preprint arXiv:1604.05008, 2016
452016
Prediction and interpretation of daily NFT and DeFi prices dynamics: Inspection through ensemble machine learning & XAI
I Ghosh, E Alfaro-Cortés, M Gámez, N García-Rubio
International Review of Financial Analysis 87, 102558, 2023
402023
An ensemble machine learning framework for Airbnb rental price modeling without using amenity-driven features
I Ghosh, RK Jana, MZ Abedin
International Journal of Contemporary Hospitality Management 35 (10), 3592-3611, 2023
342023
A comparative analysis of multi-criteria decision models for ERP package selection for improving supply chain performance
I Ghosh, S Biswas
Asia-Pacific Journal of Management Research and Innovation 12 (3-4), 250-270, 2016
342016
A hybrid approach to forecasting futures prices with simultaneous consideration of optimality in ensemble feature selection and advanced artificial intelligence
I Ghosh, TD Chaudhuri, E Alfaro-Cortés, M Gámez, N García
Technological Forecasting and Social Change 181, 121757, 2022
332022
Fractal inspection and machine learning-based predictive modelling framework for financial markets
I Ghosh, MK Sanyal, RK Jana
Arabian Journal for Science and Engineering 43 (8), 4273-4287, 2018
332018
Critical linkages between quality management practices and performance from Indian IT enabled service SMEs
R Basu, P Bhola, I Ghosh, PK Dan
Total Quality Management & Business Excellence 29 (7-8), 881-919, 2018
332018
A residual driven ensemble machine learning approach for forecasting natural gas prices: Analyses for pre-and during-COVID-19 phases
RK Jana, I Ghosh
Annals of Operations Research, 1-22, 2022
292022
Determinants of electronic waste generation in Bitcoin network: Evidence from the machine learning approach
RK Jana, I Ghosh, D Das, A Dutta
Technological Forecasting and Social Change 173, 121101, 2021
282021
Using structural equation modelling to integrate human resources with internal practices for lean manufacturing implementation
P Basu, I Ghosh, P Dan
Management Science Letters 8 (1), 51-68, 2018
272018
Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook’s prophet framework for stock market prediction: An application in Indian context
I Ghosh, TD Chaudhuri
Expert systems with applications 210, 118391, 2022
262022
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