Recent Advances in Computer Science and Communications - Volume 16, Issue 1, 2023

Background: In reality, time series is composed of several basic components, which have linear, nonlinear and non-stationary characteristics at the same time. Directly using a single model will show some limitations and the prediction accuracy is difficult to improve. Methods: We propose a mixed forecasting model based on time series decomposition, namely STL-EEMD-LSTM model. First, we use STL filtering algorithm to de Read More

Background: Cloud computing refers to the computing capacities of remote computers, where the user has considerable computing power without having to own power units. The probability of failures, which can occur during execution, increases in the number of nodes. Since failures cannot be completely avoided, one solution is to use failure tolerance mechanisms. Predicting failures has become a major task for engineers and Read More

Objective: Natural disasters caused by landslides have done great harm to agricultural production, people's lives, and property. Considering the slope disaster caused by heavy rainfall, it is important to establish an early warning system to monitor rainfall disaster prevention. Huafang University Slope Sustainable Development Research Center (HUSSDRC) has set up a meteorological station equipped with many sensors Read More

Background: Software Measurement (SM) is pivotal for efficient planning, scheduling, tracking, and controlling software projects, which significantly affects the success or failure of a project. Machine Learning (ML) techniques have been applied for software measurements for the past three decades. Objective: This review aims to synthesize the studies conducted from the years 1990 to 2020 to provide a broad picture of the Read More

Background: The increasing demand for Internet of Things (IoT) devices has been accompanied by an increase in the amount of data generated by them that need to be transferred, processed, and stored. Transferring the data of these devices to cloud computing leads to the occurrence of bottlenecks in the data networks, and therefore, an increase in the delay. Edge computing is used to reduce the delay by executing the Read More

Background: Investors estimate how a company's stock or financial instrument will perform in the future, which is known as the stock market prediction. Stock markets are one of the many industries that have benefited substantially from the incredible breakthroughs in machine learning. To effectively estimate these markets, many researchers and companies are continually researching and developing various state-of-the Read More

Around trillions of data are uploaded to the internet every year. Extracting useful information using only a few keywords has become a major challenge. The field of Query Reformulation (QR) is focused on the efficient retrieval of information to overcome this. It is widely used in the domain of information retrieval (IR) and related fields such as search engines, multimedia IR, cross-language IR, recommender systems, and so Read More