作者：
Oleksandra BulgakovaViacheslav ZosimovAutomation
Robotics and Computer Programming P.M Platonov Educational and Scientific Institute of Computer Engineering Odesa National University of Technology Odesa Ukraine
This paper presents the impact of external factors on consumer purchasing behavior in e-commerce. It examines how variables such as time of day, weather conditions, economic fluctuations, social influences, cultural t...
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ISBN:
(数字)9798331542634
ISBN:
(纸本)9798331542641
This paper presents the impact of external factors on consumer purchasing behavior in e-commerce. It examines how variables such as time of day, weather conditions, economic fluctuations, social influences, cultural trends, seasonal events, and others can influence online purchasing decisions. Using data from an e-commerce website, a model was built using GIA GMDH to analyze the impact of these factors on consumer purchasing behavior. The study found significant correlations between seemingly minor external factors and consumer behavior, highlighting the importance of holistic analysis for companies to adapt their strategies and improve e-commerce performance.
The production of metal pipes is an important component of metallurgy and the entire industry as a whole. Traditional surface quality control is carried out by human inspectors, which is unsatisfactory due to low prod...
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Educational, online learning has become a common practice due to rapid digitalization and recent global events. This study focuses on developing a comprehensive online learning platform that addresses users' needs...
详细信息
ISBN:
(数字)9798331542634
ISBN:
(纸本)9798331542641
Educational, online learning has become a common practice due to rapid digitalization and recent global events. This study focuses on developing a comprehensive online learning platform that addresses users' needs by integrating advanced AI capabilities for personalized support and adaptive learning. The platform supports user registration and authentication, course and lesson management, and offers interactive features like AI-driven chat support. In this study, we show the importance of creating user-friendly online learning platforms with the implementation of modern AI trends. The development and testing of this platform is ongoing to determine the adaptation of the system to different learning styles.
The production of metal pipes is an important component of metallurgy and the entire industry as a whole. Traditional surface quality control is carried out by human inspectors, which is unsatisfactory due to low prod...
The production of metal pipes is an important component of metallurgy and the entire industry as a whole. Traditional surface quality control is carried out by human inspectors, which is unsatisfactory due to low productivity, reliability and economy. Therefore, the introduction of an automatic visual inspection system into this production allows you to quickly find defects in products and reduce economic losses. To solve this problem, an algorithm based on the neural networks of the YOLOv5 and Unet architectures has been created, which allows finding the bounding frames of defects and their segmentation mask from the image. The created algorithm was applied to two control sites: mandrel defectoscopy and pipe defectoscopy. For mandrel defectoscopy, the accuracy for mAP 0.5 detection is 0.785, for iou_score segmentation – 0.562. For pipe defectoscopy, the accuracy for mAP 0.5 detection is 0.693, for iou_score segmentation - 0.526.
This article presents a comprehensive methodology for enhancing the capabilities of conversational AI systems, focusing on ChatGPT, through the integration of ontology-driven structured prompts and meta-learning techn...
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Modern manufacturing processes are constantly under observation to improve efficiency and reduce costs. In many cases new materials like CFK need a different approach to check part tolerances which in general increase...
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