Article
Computer Science, Artificial Intelligence
Dharini Ramachandran, R. Parvathi
Summary: The study aims to enhance the classification of crisis-related tweets using a domain and event adaptive augmentation approach. Experiments show that an expanded dataset, including augmented and original tweets, leads to increased classifier performance.
DATA & KNOWLEDGE ENGINEERING
(2021)
Article
Business
Yuanzhu Zhan, Runyue Han, Mike Tse, Mohd Helmi Ali, Jiayao Hu
Summary: The revolution in the digital economy is driving the retail pharmacy industry to develop new business models for operational excellence. User-generated content on social media can be analyzed to gain insights into market needs and enhance business intelligence. An analytic framework is proposed for retail pharmacy organizations to improve customer loyalty and analyze important concepts discussed by consumers.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Engineering, Industrial
Eymen Cagatay Bilge, Hakan Yaman
Summary: This study aims to identify trends in construction management research over the past 20 years. Findings show that building information modeling, information management, scheduling and cost optimization, lean construction, agile approach, and megaprojects are the current trend topics in the construction management literature.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Xuzhong Yan, Hong Zhang, Wenyu Zhang
Summary: This study achieves intelligent monitoring and evaluation of prefabricated building construction (PBC) schedule by combining computer vision-based technology, weighted kernel density estimation method, and earned duration management method. Through intelligent real-time remote detection of prefabricated components and workers, the progress status is measured and the project duration is predicted to evaluate the schedule.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Computer Science, Theory & Methods
Prabu Kresna Putra, Rahmad Mahendra, Indra Budi
Summary: This research utilizes Twitter data to monitor traffic and road conditions by extracting relevant information through text mining. Various supervised classification algorithms and feature representations were tested, and good results were achieved. Additionally, a web-based visualization interface was implemented for displaying traffic information.
JOURNAL OF BIG DATA
(2022)
Article
Computer Science, Software Engineering
Michael Becher, Dominik Herr, Christoph Mueller, Kuno Kurzhals, Guido Reina, Lena Wagner, Thomas Ertl, Daniel Weiskopf
Summary: This article presents an approach to bring data visualization and analysis to the shop floor using handheld touch devices and augmented reality. By combining spatio-temporal analysis of time series with live monitoring in the real-world context, important information is displayed directly on the machines, while detailed logs are shown on the handheld devices. The approach was tested and compared with existing solutions in collaboration with an industry partner.
IEEE COMPUTER GRAPHICS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Hui Sun, Qiyuan Li, Kewei Sha, Ying Yu
Summary: Cloud computing and edge computing models are widely used in emerging applications, but existing edge computing-based models have issues in user control, region of interest transmission, and adapting to network conditions. In order to address these challenges, we propose the ElasticEdge framework and validate its superiority over RTFace in terms of data transmission and adaptability to different network conditions.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Tianhuan Yu, Zhenying He, Zhihui Yang, Fei Ye, Yuankai Fan, Yinan Jing, Kai Zhang, X. Sean Wang
Summary: This paper introduces a novel approach called Zebra for text classification queries on streaming data. Zebra utilizes progressive pipelines and probabilistic filters to optimize overload query situations, achieving higher accuracy and ensuring timely query responses. Experiments show that Zebra can stably achieve higher accuracy on real-world datasets.
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
(2023)
Article
Computer Science, Software Engineering
Rita Sevastjanova, Mennatallah El-Assady, Adam Bradley, Christopher Collins, Miriam Butt, Daniel Keim
Summary: VisInReport is a visual analytics tool that supports manual analysis of discourse transcripts and generates reports based on user interaction. It addresses the challenge of manual data evaluation by enhancing the users' analysis with automatically generated visualization layers. These layers enable the detection and exploration of relevant parts of the discussion, summarizing the extracted events visually and verbally. The system has been evaluated through a qualitative study with domain experts, demonstrating the benefits of integrating analysis and reporting processes.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Artificial Intelligence
Yasmine Elkhayat, Mohamed Marzouk
Summary: This research aims to develop a model for selecting the most appropriate Standard Forms of Construction Contracts (SFCCs) through text analysis and multi-criteria decision-making techniques. The study compares three SFCCs and analyzes their clauses and provisions based on five aspects. It then provides a set of questions to assist users in selecting the suitable SFCC using a hybrid decision-making model. Additionally, a recommendation system is developed to guide users in considering critical success factors during the contract formation stage.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Chemistry, Multidisciplinary
Chung-Hong Lee, Hsin-Chang Yang, Yenming J. Chen, Yung-Lin Chuang
Summary: The emerging application field of using Twitter messages and algorithmic computation to detect real-time world events has become a new paradigm in data science applications. The study focuses on integrating real-time event monitoring and intelligence gathering functions to provide updated event summaries, combined with pre-trained language models for summarizing emergent events.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Analytical
Lin Zhou, Chuanhao Liu, Ying Zheng, Zhenlong Huang, Xinfu Zhang, Yi Xiao
Summary: A versatile NO-sensing toolbox based on a bio-orthogonal concept using tetrazine and strained alkyne BCN as key components is proposed in this study to simplify the detection of NO in specific subcellular areas. The toolbox includes a general NO probe TMR-Tz-NO that can be coupled with various targeting groups for mitochondria, lysosomes, and membranes, enabling the imaging of NO in different cellular compartments.
ANALYTICAL CHEMISTRY
(2022)
Article
Computer Science, Theory & Methods
Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read
Summary: The rise of social media platforms has provided an unlimited and incredibly valuable source of aggregated knowledge about the world from a human perspective. The biggest challenge we face is how to process and understand this raw and unstructured data in order to gain a comprehensive understanding of the bigger picture - the field of Situation Awareness. In this research, we conduct a thorough survey of Artificial Intelligence research, specifically focusing on microblog social media data and its applications in Situation Awareness, covering six thematic areas including Crime, Disasters, Finance, Physical Environment, Politics, and Health and Population. We provide a unique and unified methodological perspective, highlight key findings and challenges, and present ongoing research directions.
ACM COMPUTING SURVEYS
(2023)
Article
Computer Science, Software Engineering
Dora Kiesel, Patrick Riehmann, Henning Wachsmuth, Benno Stein, Bernd Froehlich
Summary: This paper presents a visual analytics system for exploring, analyzing and comparing argument structures in essay corpora. By using lists and tree diagrams, the system helps users understand patterns, trends, and differences in the corpus.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Johannes Knittel, Steffen Koch, Thomas Ertl
Summary: PyramidTags is a new approach to visually summarizing large text collections, incorporating both temporal evolution and semantic relationship of visualized tags. It provides analysts with a starting point for interactive exploration to grasp important ideas and stories.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Robert Krueger, Dennis Thom, Thomas Ertl
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2015)
Article
Computer Science, Software Engineering
Dennis Thom, Robert Krueger, Thomas Ertl
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2016)
Article
Computer Science, Software Engineering
Robert Krueger, Georgi Simeonov, Fabian Beck, Thomas Ertl
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2018)
Article
Computer Science, Software Engineering
Robert Krueger, Dennis Thom, Michael Woerner, Harald Bosch, Thomas Ertl
COMPUTER GRAPHICS FORUM
(2013)
Article
Computer Science, Software Engineering
Robert Krueger, Qi Hang, Nikolay Ivanov, Sanae Mahtal, Dennis Thom, Hanspeter Pfister, Thomas Ertl
COMPUTER GRAPHICS FORUM
(2019)
Article
Computer Science, Software Engineering
Sebastian Gehrmann, Hendrik Strobelt, Robert Kruger, Hanspeter Pfister, Alexander M. Rush
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)
Article
Computer Science, Software Engineering
Robert Krueger, Johanna Beyer, Won-Dong Jang, Nam Wook Kim, Artem Sokolov, Peter K. Sorger, Hanspeter Pfister
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)
Proceedings Paper
Computer Science, Cybernetics
Robert Krueger, Tina Tremel, Dennis Thom
2017 INTERNATIONAL SYMPOSIUM ON BIG DATA VISUAL ANALYTICS (BDVA)
(2017)
Proceedings Paper
Computer Science, Artificial Intelligence
Florian Haag, Robert Krueger, Thomas Ertl
COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VISIGRAPP 2016
(2017)
Proceedings Paper
Computer Science, Artificial Intelligence
Harald Bosch, Robert Krueger, Dennis Thom
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT III
(2015)