|
|
|
|
|
Zhonggang Ma, Siteng Zhang, He Jia, Kuan Liu, Xiaofei Xie and Yuanchuang Qu
With the development of the engineering construction industry, knowledge became an important strategic resource for construction enterprises, and knowledge graphs are an effective method for knowledge management. In the context of peak carbon dioxide emi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nakhyeon Seong, Jeongseon Kim and Sungsu Lim
This paper presents a novel machine learning-based approach for detecting abnormal ship movements using CCTV videos. Our method utilizes graph-based algorithms to analyze ship trajectories and identify anomalies, with a focus on enhancing maritime safety...
ver más
|
|
|
|
|
|
|
|
|
|
|
Charlee Kaewrat, Poonpong Boonbrahm and Bukhoree Sahoh
Unsuitable shoe shapes and sizes are a critical reason for unhealthy feet, may severely contribute to chronic injuries such as foot ulcers in susceptible people (e.g., diabetes patients), and thus need accurate measurements in the manner of expert-based ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nane Kratzke
Background: This study presents a graph-based, macro-scale, polarity-based, echo chamber detection approach for Twitter. Echo chambers are a concern as they can spread misinformation, and reinforce harmful stereotypes and biases in social networks. Metho...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weikun Xie, Wenjing Qi, Xiaohui Lin and Houjun Wang
With the rapid development of integrated circuit production technology, the scale of FPGA circuits has expanded to billions of gates. The complexity of the internal resource structures in the FPGAs (field programmable gate arrays) is continually increasi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruth Cordova-Cardenas, Luis Emmi and Pablo Gonzalez-de-Santos
This study presents the development of a route planner, called Mission Planner, for an agricultural weeding robot that generates efficient and safe routes both in the field and on the farm using a graph-based approach. This planner optimizes the robot?s ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dharahas Tallapally, John Wang, Katerina Potika and Magdalini Eirinaki
Recommender systems have revolutionized the way users discover and engage with content. Moving beyond the collaborative filtering approach, most modern recommender systems leverage additional sources of information, such as context and social network dat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aleksandar Ivanovski, Milos Jovanovik, Riste Stojanov and Dimitar Trajanov
In this work, we present a state-of-the-art solution for automatic playlist continuation through a knowledge graph-based recommender system. By integrating representational learning with graph neural networks and fusing multiple data streams, the system ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jai Prakash Verma, Shir Bhargav, Madhuri Bhavsar, Pronaya Bhattacharya, Ali Bostani, Subrata Chowdhury, Julian Webber and Abolfazl Mehbodniya
The recent advancements in big data and natural language processing (NLP) have necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous textual data. Text summarization (TS) acts as an essential pillar within recommendat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thi-Linh Ho, Anh-Cuong Le and Dinh-Hong Vu
Recommender systems are challenged with providing accurate recommendations that meet the diverse preferences of users. The main information sources for these systems are the utility matrix and textual sources, such as item descriptions, users? reviews, a...
ver más
|
|
|
|
|
|