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Prediction of sports attendance: A comparative analysis
(SAGE Publications, 2022)
In this study, a comparative analysis for predicting sports attendance demand is presented based on econometric, artificial intelligence, and machine learning methodologies. Data from more than 20,000 games from three major ...
Analysis of traffic accidents with fuzzy and crisp data mining techniques to identify factors affecting injury severity
(IOS Press, 2022)
Injury severity in motor vehicle traffic accidents is determined by a number of factors including driver, vehicle, and environment. Airbag deployment, vehicle speed, manner of collusion, atmospheric and light conditions, ...
Competency Gap Identification Through Customized I4.0 Education Scale
(Springer Science and Business Media Deutschland GmbH, 2022)
The key competencies and knowledge of employees in a new era of production systems based on the concept of Industry 4.0 are becoming increasingly important for business and education worldwide. The intensive interaction ...
A novel image Denoising approach using super resolution densely connected convolutional networks
(Springer, 2022)
Image distortion effects, called noise, may occur due to various reasons such as image acquisition, transfer, and duplication. Image denoising is a preliminary step for many studies in the field of image processing. The ...
Deep neural network model with Bayesian optimization for tuberculosis detection from X-Ray images
(Springer, 2023)
Tuberculosis is a chronic lung disease caused by bacterial infection, and more than 10 million people get this disease every year, especially in developing countries. Early diagnosis of tuberculosis is important for effective ...
A Sequential Test of Traffic Intensity for the M/M/1 Queueing System
(Taylor and Francis, 2023)
This paper deals with testing traffic intensity, which is the most important parameter of the (Formula presented.) queue system. The Wald-type sequential probability ratio test (SPRT) is performed to determine traffic ...