Indranil Ghosh

According to our database, Indranil Ghosh authored at least 26 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A bivariate geometric distribution via conditional specification: properties and applications.

Indranil Ghosh, Filipe Marques, Subrata Chakraborty

Commun. Stat. Simul. Comput., December, 2023

Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI.

Indranil Ghosh, Esteban Alfaro Cortés, Matías Gámez, Noelia García Rubio

Expert Syst. Appl., June, 2023

Modelling Predictability of Airbnb Rental Prices in Post COVID-19 Regime: An Integrated Framework of Transfer Learning, PSO-Based Ensemble Machine Learning and Explainable AI.

Indranil Ghosh, Manas K. Sanyal, Dragan Pamucar

Int. J. Inf. Technol. Decis. Mak., May, 2023

Hidden truncation in multivariate Pareto (II) data: properties and inference.

Indranil Ghosh

Commun. Stat. Simul. Comput., May, 2023

2022

Dynamical Effects of Electromagnetic Flux on Chialvo Neuron Map: Nodal and Network Behaviors.

Sishu Shankar Muni, Hammed Olawale Fatoyinbo, Indranil Ghosh

Int. J. Bifurc. Chaos, 2022

Renormalization of the Two-Dimensional Border-Collision Normal Form.

Indranil Ghosh, David J. W. Simpson

Int. J. Bifurc. Chaos, 2022

Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook's prophet framework for stock market prediction: An application in Indian context.

Indranil Ghosh, Tamal Datta Chaudhuri

Expert Syst. Appl., 2022

A physics-driven study of dominance space in soccer.

Costas J. Efthimiou, Gregory DeCamillis, Indranil Ghosh

CoRR, 2022

Inferences of a Mixture Bivariate Alpha Power Exponential Model with Engineering Application.

Refah Mohammed Alotaibi, Mazen Nassar, Indranil Ghosh, Hoda Rezk, Ahmed Elshahhat

Axioms, 2022

A Modified Iterative Algorithm for Numerical Investigation of HIV Infection Dynamics.

Indranil Ghosh, Muhammad Mahbubur Rashid, Shukranul Mawa, Rupal Roy, Md. Manjurul Ahsan, Muhammad Ramiz Uddin, Kishor Datta Gupta, Pallabi Ghosh

Algorithms, 2022

2021

Measuring the Pollutants in a System of Three Interconnecting Lakes by the Semianalytical Method.

Indranil Ghosh, M. S. H. Chowdhury, Suazlan Mt Aznam, Muhammad Mahbubur Rashid

J. Appl. Math., 2021

Introspecting predictability of market fear in Indian context during COVID-19 pandemic: An integrated approach of applied predictive modelling and explainable AI.

Indranil Ghosh, Manas K. Sanyal

Int. J. Inf. Manag. Data Insights, 2021

Parameter estimation methods for the Weibull-Pareto distribution.

Sanku Dey, Ayman Alzaatreh, Indranil Ghosh

Comput. Math. Methods, 2021

A differential evolution-based regression framework for forecasting Bitcoin price.

R. K. Jana, Indranil Ghosh, Debojyoti Das

Ann. Oper. Res., 2021

2020

A granular deep learning approach for predicting energy consumption.

Rabin K. Jana, Indranil Ghosh, Manas K. Sanyal

Appl. Soft Comput., 2020

Effort: A New Metric for Roadside Unit Placement in 5G Enabled Vehicular Networks.

Sarath Babu, Indranil Ghosh, B. S. Manoj

Proceedings of the 3rd IEEE 5G World Forum, 2020

2019

Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms.

Indranil Ghosh, Rabin K. Jana, Manas K. Sanyal

Appl. Soft Comput., 2019

2018

A note on Sum, Difference, Product and Ratio of Kumaraswamy Random Variables.

Avishek Mallick, Indranil Ghosh, G. G. Hamedani

J. Stat. Theory Appl., 2018

2017

Analysis of Causal Interactions and Predictive Modelling of Financial Markets Using Econometric Methods, Maximal Overlap Discrete Wavelet Transformation and Machine Learning: A Study in Asian Context.

Indranil Ghosh, Manas K. Sanyal, R. K. Jana

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

2016

Artificial Neural Network and Time Series Modeling Based Approach to Forecasting the Exchange Rate in a Multivariate Framework.

Tamal Datta Chaudhuri, Indranil Ghosh

CoRR, 2016

Using Clustering Method to Understand Indian Stock Market Volatility.

Tamal Datta Chaudhuri, Indranil Ghosh

CoRR, 2016

Forecasting Volatility in Indian Stock Market using Artificial Neural Network with Multiple Inputs and Outputs.

Tamal Datta Chaudhuri, Indranil Ghosh

CoRR, 2016

2015

On the Weibull-X family of distributions.

Ayman Alzaatreh, Indranil Ghosh

J. Stat. Theory Appl., 2015

Characterizations of Distributions Via Conditional Expectation of Function of Generalized Order Statistics.

Mohammad Ahsanullah, G. G. Hamedani, Indranil Ghosh

J. Stat. Theory Appl., 2015

2014

The Kumaraswamy-Half-Cauchy distribution: properties and applications.

Indranil Ghosh

J. Stat. Theory Appl., 2014

2009

An Advanced Partitioning Approach of Web Page Clustering utilizing Content & Link Structure.

Ruma Dutta, Indranil Ghosh, Anirban Kundu, Debajyoti Mukhopadhyay

J. Convergence Inf. Technol., 2009