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Süresiz Ambargo

A holistic approach to artificial intelligence-related research in the transportation system: bibliometric analysis

Nil Konyalılar

Purpose Developments regarding the use of artificial intelligence (AI) in transportation systems, one of the important stakeholders of tourism, are remarkable. However, no review thus far has provided a comprehensive overview of research on AI in transportation systems.Design/methodology/approach To fill this gap, this study uses the VOSviewer software to present a bibliometric review of the current scientific literature in the field of AI-related tourism research. The theme of AI in transportation systems was explored in the Web of Science database.Findings The original search yielded 642 doc ...Daha fazlası

Süresiz Ambargo

Where is digital retailing evolving? An evaluation from the perspective of digital retailing technologies

Cansu Gökmen Köksal

This study delves into the intricacies of digitalization in the retail industry and how it has evolved with the onset of the industrial revolution. It explores the dynamics of this process and proposes several frameworks for categorizing digital retailing technologies. Additionally, the study highlights the core technologies that are integral to this transformation. Moreover, it examines the shift from conventional retail practices to metaverse retailing, showcasing the distinctive attributes of this model. Lastly, the research delves into the factors that are set to shape the future of retail ...Daha fazlası

Erişime Açık

Performance Comparison of Deep and Machine Learning Approaches Toward COVID-19 Detection

Buket İşler

The coronavirus (COVID-19) is a disease declared a global pan-demic that threatens the whole world. Since then, research has accelerated and varied to find practical solutions for the early detection and correct identification of this disease. Several researchers have focused on using the potential of Artificial Intelligence (AI) techniques in disease diagnosis to diagnose and detect the coronavirus. This paper developed deep learning (DL) and machine learning (ML)-based models using laboratory findings to diagnose COVID-19. Six different methods are used in this study: K -nearest neighbor (KN ...Daha fazlası

Süresiz Ambargo

Automated Detection of Pulmonary Embolism Using CT and Perfusion Spectral Images

Gökalp Tulum | Onur Osman

This research endeavors to automate the detection of pulmonary embolism in lung perfusion scintigraphy images using image processing and artificial intelligence methods, aiming to assess embolism levels through localization and various statistical calculations. The study utilizes CT and perfusion images from 37 individuals, with 20 diagnosed with pulmonary embolism and 17 classified as normal. Employing a threshold of −150 HU (Hounsfield Unit) and morphological operations, including opening and closing with a 5-voxel disc-shaped structuring element, the lungs are segmented to remove air and bl ...Daha fazlası

Süresiz Ambargo

Detection of Printing Errors in 3D Printers Using Artificial Intelligence and Image Processing Methods

Harun Baydoğan

This article aims to employ artificial intelligence and image processing methods for the detection of print errors in three-dimensional (3D) printers. 3D printers represent a technology that offers various advantages; however, errors may occur during or after the printing process. These errors can impact the print quality, reliability, and functionality. Therefore, it is crucial to detect and prevent printing errors. In this research, image processing and artificial intelligence methods will be utilized to automatically identify, classify, and measure printing errors. These methods will take i ...Daha fazlası

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