The Internet revolution and Moore's Law drove the rapid expansion of connected consumer
electronics. As massive data is generated by Internet of Things (IoT) devices, edge …

Stability and security issues in energy management have become widespread research
topics, in which artificial intelligence techniques are often embedded in management …

Renewable energy generation has attracted the interest of researchers, but it is volatile, and
management systems are vulnerable to malicious attacks. Therefore, security issues are of …

Stock selection is an important issue in the stock market, and when assessing portfolio
performance, return and risk are important conditions. The Sharpe ratio is a well-known …

In this paper, we propose a Secure Energy Management System (SEMS) with anomaly
detection and Q-Learning decision modules for Automated Guided Vehicles (AGV). The …

In this research, we present a Q-learning based energy management system (DEQEMS) that
is able to make decisions by using unique states and intuitive actions while maintaining a …

While machine learning's role in financial trading has advanced considerably, algorithmic
transparency and explainability challenges still exist. This research enriches prior studies …

This report introduces an innovative stock market portfolio management approach, utilizing
reinforcement learning and sentiment analysis techniques. Unlike traditional methods, which …

An organised and transparent navigation system acts as a map to direct visitors to various
pages and information on the site. It is fundamental in encouraging visitors to stay, peruse …

Sequence data prediction is widely used in many fields. One of the most typical applications
is in the financial fields, eg, it can be used to predict the prices of assets. In this paper, we …