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Our aim is to study Indian stock market data using matrix variate dynamic model (MVDM). We need a model which preserves non-linear structure and the complexity of stock market data. MVDM has some structure preserving property which helps in understanding behaviour of stock data. We model MVDM by taking latent and observed data as a matrix variate with Gaussian noise. We use expectation maximization iterative techniques for parameter estimation. MVDM prediction accuracy is more except during major political events and COVID-19 period.

Solar Photovoltaics have the ability to solve the power requirements that are being faced by various underwater power systems. Although, there are many challenges and constraints, yet the amount of power required for the sensors to monitor and surveillance the water in the ocean, rivers, lakes, etc., can be addressed by underwater Solar In this work the influence of the blue-green light underwater has been studied using a color glass filter to analyses the transfer of Solar radiation underwater. Further, the performance of the various silicon Solar cells also has been studied. Based on our earlier studies, these results have been compared without a filter as well.