MPSTME Chronicle , January 31,2022

 Research :

·        Prasad Ranade(PDSE & FBM, Mumbai), Sawankumar Naik (MPSTME, Mumbai) and Girish Bagale (PDSE & FBM, Mumbai); a research article titled "Relationship between Foreign Direct Investment and Gross Domestic Product: An Analytical Study on ASEAN Countries" published in the Empirical Economics Letters (ABDC/C) Journal. In this article, the authors evaluated the scope and importance of Foreign Direct Investment (FDI) in ASEAN countries and analyzed the relationship between FDI and the Gross Domestic Product (GDP) of the ASEAN countries. The study is purely based on the secondary data which have been collected from the ASEAN data portal and analyzed with appropriate statistical tools such as the ordinary least square model to reveal the relationship between the variables.http://www.eel.my100megs.com/volume-20-number-10.htm

·        Aafreen Kazi and Siba Prasad Panda (Data Science Department) published a paper title: “Determining the freshness of fruits in the food industry by image classification using transfer learning in Springer Multimedia Tools and Applications” with an impact factor of 2.75. Convolutional neural networks (CNNs) play a significant role in a number of computer vision applications like image classification and object detection. Past studies have focused on the application of deep neural networks and convolutional neural networks for detecting the freshness of perishable goods like fruits and vegetables. However, this study tries to explore the potential of transfer learning with respect to the CNN models in image classification of fruits rather than implementing the traditional CNN architectures. https://link.springer.com/article/10.1007/s11042-022-12150-5

Student Research

·        Payal Soni and Yogya Tewari (MBA Tech 5th Year Computer Engineering Students) along with Prof. Deepa Krishnan(Computer Engineering Department, MPSTME )published a research paper titled" Machine Learning Approaches in Stock Price Prediction: A Systematic Review". This paper is published in the Journal of Physics- A conference proceeding journal published by IOP and indexed in Scopus (Proceedings of 1st International Conference on Artificial Intelligence, Computational Electronics and Communication System, Manipal Institute of Technology, Manipal, India). In this paper, existing Machine learning and Deep learning approaches were systematically analysed for its efficiency in stock market prediction. https://iopscience.iop.org/article/10.1088/1742-6596/2161/1/012065