Abstract Rotating machinery fault diagnosis problems have been well-addressed when sufficient supervised data of the tested machine are available using the latest data-driven methods. However, it is still challenging to […]
Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning Read More »
Abstract The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are
The impact of artificial intelligence in medicine on the future role of the physician Read More »
Abstract Local feature extraction is one of the most im-portant tasks to build robust video representation in humanaction recognition. Recent advances in computing visual features,especially deep-learned features, have achieved excellent
Distributed Feature Extraction on Apache Spark for Human Action Recognition Read More »
Abstract Human activity recognition is a challenging problem with many applications including visual surveillance, human-computer interactions, autonomous driving, and entertainment. In this study, we propose a hybrid deep model to
Abstract Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression
AI Techniques for COVID-19 Read More »
Abstract Various attacks have emerged as the major threats to the success of a connected world like the Internet of Things (IoT), in which billions of devices interact with each
An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection Read More »
Abstract Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect on the global economy
Abstract Internet forums and public social media, such as online healthcare forums, provide a convenient channel for users (people/patients) concerned about health issues to discuss and share information with each
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 In today’s economic scenario, credit card use has become extremely commonplace. These cards allow the user to make payments of large sums of money without the need to carry
Supervised Machine Learning Algorithms for Credit Card Fraud Detection: A Comparison Read More »
