At the end of the 20th century, the 3D printing technology developed from the United States introduced new blood to the field of traditional sculpture, many countries slowly began to try to combine 3D printing technol...
详细信息
Demand prediction in transportation systems plays a critical role in optimizing resources and improving service efficiency. This study explores demand prediction for Ulaanbaatar's public transportation network usi...
详细信息
ISBN:
(纸本)9791188428137
Demand prediction in transportation systems plays a critical role in optimizing resources and improving service efficiency. This study explores demand prediction for Ulaanbaatar's public transportation network using Graph Attention Networks (GATs), Convolutional Neural Networks (CNNs), and Generative Adversarial Networks (GANs). GATs effectively capture spatial relationships, achieving the best performance while GANs struggle with stability and convergence issues. The findings emphasize the potential of using graph-based methods that incorporate key stations in the analysis of public transportation networks for predicting transit demand. Copyright 2025 Global IT research Institute (GIRI). All rights reserved.
The rapid spread of COVID-19 misinformation on social media poses challenges in detection and analysis. There has been extensive discussion about the roles of online and offline campaigns in spreading misinformation. ...
详细信息
ISBN:
(纸本)9783031785375;9783031785382
The rapid spread of COVID-19 misinformation on social media poses challenges in detection and analysis. There has been extensive discussion about the roles of online and offline campaigns in spreading misinformation. Recognizing the analytical gap between online and offline behaviors during the COVID-19 pandemic, we propose a systematic and multidisciplinary approach. This approach utilizes agent-based modeling to interpret the spread of misinformation and the actions of users/communities on social media networks. Our model was tested on a Twitter network concerning a demonstration against COVID-19 lockdowns in Michigan in May 2020. We implemented the one-median problem to categorize and simplify the Twitter network, measured the response time to the spread of misinformation, employed a cybernetic organizational method to manage the process of mitigating misinformation spread in the network, and optimized the allocation of agents to reduce the response time to misinformation spread. The study demonstrates the effectiveness of our proposed approach in delaying information diffusion, thereby mitigating the spread of COVID-19 misinformation on social media.
In the context of contemporary vehicle dashboard systems, advanced In-Vehicle information Systems (IVIS) often employ touchscreen functionalities, and multi-layered menu structures. However, these solutions have been ...
详细信息
In the context of contemporary vehicle dashboard systems, advanced In-Vehicle information Systems (IVIS) often employ touchscreen functionalities, and multi-layered menu structures. However, these solutions have been identified as more distracting for drivers compared to traditional tactile switches and buttons with single, dedicated functions. Our primary focus is on exploring the design capabilities of dynamic vehicle center console interfaces, leading to the inception of the Dynamic Human-computer Interface System (DHCIS). DHCIS employs a context-aware, adaptive functional framework structure, which, rather than relying on deep menu layers, enhances the safety level in varied traffic situations by simplifying controls to one-touch features. The design concept has been compared with a generic user interface in terms of the handling method, operational steps and layout design.
This paper presents a novel pencil beam generation method based on computational holography. The method generates intensity maps through computer simulation, obtains a computed hologram using a computational holograph...
详细信息
With the accelerated development of globalization, the international trade activities of Hainan Free Trade Port are becoming more frequent, and Enterprises face the challenge of processing large amounts of manifest in...
详细信息
This paper delves into the application of prompt engineering within the context of Business Process Management (BPM), focusing on the creation of a meticulously designed meta-prompt to facilitate the generation of pro...
详细信息
ISBN:
(纸本)9783031720406;9783031720413
This paper delves into the application of prompt engineering within the context of Business Process Management (BPM), focusing on the creation of a meticulously designed meta-prompt to facilitate the generation of process reference models via ChatGPT-4, a leading-edge Large Language Model (LLM). By exploring the methodology and efficacy of our approach, we demonstrate the significant potential of utilizing AI to streamline and optimize BPM. Our research highlights the critical role of precise prompt engineering in achieving accurate, relevant, and cost-effective process models, paving the way for broader application and integration with BPM tools for enhanced functionality. This study not only advances the understanding of AI's capacity to revolutionize BPM but also sets the stage for future explorations into the adaptability and scalability of AI-driven process modeling across various industries.
In understanding brain functioning by Electroencephalography (EEG), it is essential to be able to not only identify more active brain areas but also understand connectivity among different areas. The functional and ef...
详细信息
Several vital resources are increasingly being protected by cyber-physical systems (CPSs), makes the detection of incidents on these systems critical. CPSs along with other domains, such as the Internet of Things (IoT...
详细信息
Due to recent expansion of wireless communications, it has become impossible to cope with the allotment of the precious spectrum while resources for wireless communication are bounded and finite. Hence, the cognitive ...
详细信息
暂无评论