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Toplam kayıt 11, listelenen: 1-10
Retail analytics: store segmentation using Rule-Based Purchasing behavior analysis
(Taylor and Francis, 2021)
Retailers are facing challenges in making sense of the significant amount of data available for a better understanding of their customers. While retail analytics plays an increasingly important role in successful retailing ...
Testing traffic density of a heterogeneous stochastic queueing system using SPRT
(Taylor and Francis, 2021)
We aim to determine the traffic density of the system as a control method in queuing systems and to keep it at the desired level. This article expands the sequential probability ratio test (SPRT) method in the heterogeneous ...
Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM
(Elsevier, 2021)
Objectives: Middle ear inflammatory diseases are global health problem that can have serious consequences such as hearing loss and speech disorders. The high cost of medical devices such as oto-endoscope and oto-microscope ...
Optimization and analysis of a tandem queueing system with parallel channel at second station
(Taylor and Francis, 2021)
We consider a tandem queue consisting of two stations. We demonstrate that customer numbers and waiting times at both stations are independent of each other in the steady-state. As an optimal design, in the second station, ...
Wealthier is healthier? Healthier is wealthier? A comprehensive econometric analysis of the European countries
(Akademiai Kiado, 2021)
Healthier people contribute more to the development of the economy. Besides, in a better economy, people have a better quality and healthier life. At this stage, one has to ask which one precedes the other: health or wealth? ...
Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM
(Elsevier, 2022)
Objectives: Middle ear inflammatory diseases are global health problem that can have serious consequences such as hearing loss and speech disorders. The high cost of medical devices such as otoendoscope and oto-microscope ...
Classification of myositis from muscle ultrasound images using deep learning
(Elsevier, 2022)
Inflammatory myopathies, are rare muscle diseases. As a result of the body's own immune system attacking by targeting the muscle cells, muscle weakness develops due to inflammation in the muscles. Early and definitive ...
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, ...
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 ...