Abstract Modern smart city projects are evolving to the next level of data-centric situation awareness and decision makings, thereby requiring much intensive data integration over various data sources made from […]
Making IoT Data Ready for Smart City Applications Read More »
Abstract Recognition from faces is a popular and significant technology in recent years. Face alterations and the presence of different masks make it too much challenging. In the real world,
Masked Face Recognition Using Convolutional Neural Network 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 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 Human-Robot Interaction is an emerging field in the area of robotics and growth in this field finds application in several areas of society. In this paper, the initial progress
A Robotic System for Elderly Care and Monitoring using Human-Robot Interaction 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 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 »
Abstract Flight delay is a major problem in the aviation sector. During the last two decades, the growth of the aviation sector has caused air traffic congestion, which has caused
Predicting Flight Delays with Error Calculation using Machine Learned Classifiers Read More »
Abstract The multidisciplinary approach of artificial intelligence is revolutionizing the traditional technologies used in medical image computing, radiology imaging, medical diagnoses, and features based disease identification [1], [2]. In this
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 »
