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Chapter and Conference Paper
An Integrated Approach Incorporating Nonlinear Dynamics and Machine Learning for Predictive Analytics and Delving Causal Interaction
Development of predictive modeling framework for observational data, exhibiting nonlinear and random characteristics, is a challenging task. In this study, a neoteric framework comprising tools of nonlinear dy...
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Article
Fractal Inspection and Machine Learning-Based Predictive Modelling Framework for Financial Markets
This paper presents a novel framework to conduct empirical investigation and carry out predictive modelling on daily index prices of Bombay stock exchange, Dow Jones Industrial Average, Hang Seng Index, NIFTY ...
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Chapter and Conference Paper
Development of a Cardiovascular Replicator for Simulating Congestive Heart Diseases
Cardiovascular diseases are one of the greatest causes of death in society. Though the heart transplantation is one of the modern solutions of heart failure, its application is limited due to the availability ...
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Article
Open AccessCan financial stress be anticipated and explained? Uncovering the hidden pattern using EEMD-LSTM, EEMD-prophet, and XAI methodologies
Global financial stress is a critical variable that reflects the ongoing state of several key macroeconomic indicators and financial markets. Predictive analytics of financial stress, nevertheless, has seen ve...
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Article
Open AccessOn the analysis of a heterogeneous coupled network of memristive Chialvo neurons
We perform a numerical study on the application of electromagnetic flux on a heterogeneous network of Chialvo neurons represented by a ring-star topology. Heterogeneities are realized by introducing additive n...