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School of Computing and Data Science

Two Papers from School of Computing and Data Science Accepted by AISC 2023: IEEE International Conference on Artificial Intelligence and Smart Communication

Published on January 30, 2023

Two papers from School of Computing and Data Science have been accepted by the AISC 2023: IEEE International Conference on Artificial Intelligence and Smart Communication, an international conference that brings researchers from interdisciplinary domains together for interaction and exchange of ideas.

Both projects were led by Dr. Burra Venkata Durga Kumar.

The project “Improving quantitative stock trading prediction based on MAD using Q-learning technology” was produced by Dr. Burra Venkata Durga Kumar, Dr. Teh Jia Yew, Zhao Pengcheng and Yin Siyuan from Software Engineering Programme, which attempted to employ reinforcement learning models to predict the change of stock trading. 

Stocks are proof of shares in an enterprise and represent the ownership of stockholders in the joint stock company. Considering the risk of stock trading, it is essential to provide an optimal prediction method to ensure stock trading security. This paper proposed the median absolute deviation method (MAD) and Q-learning model to build a more effective prediction model. Based on the data of NASDAQ Composite (^IXIC), the simulation results demonstrated that the new method is more conducive to predicting stocks. Despite the limitations, the research provided a good extension to the theoretical aspects of stock prediction analysis, thus providing investors with new research methods and perspectives.

Another accepted work, created by Dr. Burra Venkata Durga Kumar and Zhu Zhaoqi from Software Engineering Programme, is “Face detection and classification of sleep state of humans by Deep learning mechanisms”. 

One-third of a person’s lifetime is spent on sleep. However, modern people tend to lack sleep but are unaware of it due to various reasons. In view of this, this project strove to address this problem with the CNN model based on a deep learning mechanism. By exploring the factors that affect the accuracy of classification, the research aimed to provide a more convenient method for people to classify the sleep state in their daily life.

Hosted at GL Bajaj Institute of Technology and Management, India, AISC 2023: IEEE International Conference on Artificial Intelligence and Smart Communication intends to build up an international community of researchers through their innovative ideas and research work, towards the recent developments in the domain of Artificial Intelligence and Smart Communication Engineering.