Abstract With the development of a Software-defined Network (SDN), there will be a large number of devices to access the network, which may cause an incalculable burden to the communication […]
Abstract Machine learning has been pervasively used in a wide range of applications due to its technical breakthroughs in recent years. It has demonstrated significant success in dealing with various
Machine Learning Security: Threats, Countermeasures, and Evaluations Read More »
Abstract The diagnosis of heart disease by the classical medical approach takes a huge amount of time. Besides blood tests and X-ray, this approach includes multiple tests like MRI, Echocardiogram,
A Comparative Study on Machine Learning and Artificial Neural Networking Algorithms Read More »
Abstract Can we detect electric discharge states in gases based on the information on visual images? This article proposes a new kind of method where we build several detection models
A Corona Recognition Method Based on Visible Light Color and Machine Learning Read More »
Abstract This paper aims to develop a tool for predicting accurate and timely traffic flow Information. Traffic Environment involves everything that can affect the traffic flowing on the road, whether
Traffic Prediction for Intelligent Transportation System using Machine Learning Read More »
Abstract Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in perioperative outcomes to improve the decision making on the future course of actions. The ML models
COVID-19 Future Forecasting Using Supervised Machine Learning Models Read More »
