A novel approach for graph-based real-time anomaly detection from dynamic network data listened by Wireshark by Muhammet Onur Kaya, Mehmet Ozdem, Resul Das

“… This paper presents a novel approach for real-time anomaly detection and visualization of dynamic network data using Wireshark, globally's most widely utilized network analysis tool. …”
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Enhancing Data Privacy Protection and Feature Extraction in Secure Computing Using a Hash Tree and Skip Attention Mechanism by Zizhe Zhou, Yaqi Wang, Lin Cong, Yujing Song, Tianyue Li, Meishu Li, Keyi Xu, Chunli Lv

Subjects: “…data privacy protection…”
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Analisis Visual dan Machine Learning untuk Mengukur Validitas Dokumen Akademik Perpustakaan: Studi pada Data Turnitin by Hesti Ari Wardani, Imam Yuadi

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Impact of a Fulbright award: A bibliometric analysis of persistence by Charlene Downing, Annie Temane, L. Amy Giles, Jean L. Hillyer, Sean C. Beatty

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A 360-degree imagery-multisensor system for visualizing environmental parameters in architecture and urban spaces by Mojtaba Parsaee, André Potvin, Jean-François Lalonde, Marc Hébert, Claude M.H. Demers

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A Novel Method to Improve the Efficiency and Performance of Cloud-Based Visual Simultaneous Localization and Mapping by Omar M. Salih, Hussam Rostum, József Vásárhelyi

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A novel method for simulating dynamic facades to analysing, and optimizing daylight and visual comfort in office buildings by Mehran Shahmoradi, Mansour Yeganeh

Subjects: “…Visual comfort-Data fitting- Entire year analysis-Guessing…”
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Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams: Enhancing Exp... by Rajashekar Korutla, Douglas Tedder, Kathryn Brogan, Marko Milosevic, Michael P. Wilczek, Naim Shehadeh, Nawar Shara, Elsie G. Ross, Saeed Amal

Subjects: “…data visualization…”
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Cachez ce care que je ne saurais voir. Les ajustements méthodologiques d’une étude féministe du travail du care dans le logement collectif by Benjamin Leclercq, Audrey Courbebaisse, Ansao Totolehibe, Chloé Salembier

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Portable Technology to Measure and Visualize Body-Supporting Force Vector Fields in Everyday Environments by Ayano Nomura, Yoshifumi Nishida

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Securing air defense visual information with hyperchaotic Folded Towel Map-Based encryption by Shamsa Kanwal, Saba Inam, Fahima Hajjej, Ala Saleh Alluhaidan

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DA-IRRK: Data-Adaptive Iteratively Reweighted Robust Kernel-Based Approach for Back-End Optimization in Visual SLAM by Zhimin Hu, Lan Cheng, Jiangxia Wei, Xinying Xu, Zhe Zhang, Gaowei Yan

Subjects: “…visual SLAM…”
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Interoperability of health data using FHIR Mapping Language: transforming HL7 CDA to FHIR with reusable visual components by Igor Bossenko, Rainer Randmaa, Gunnar Piho, Peeter Ross, Peeter Ross

“…Beyond healthcare delivery, semantic interoperability is crucial for secondary health data use. This paper introduces a tool and techniques for achieving health data semantic interoperability, using reusable visual transformation components to create and validate transformation rules and maps, making them usable for domain experts with minimal technical skills.MethodsThe tool and techniques for health data semantic interoperability have been developed and validated using Design Science, a common methodology for developing software artifacts, including tools and techniques.ResultsOur tool and techniques are designed to facilitate the interoperability of Electronic Health Records (EHRs) by enabling the seamless unification of various health data formats in real time, without the need for extensive physical data migrations. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…In this paper, we address the issues of the explainability of reinforcement learning-based machine learning agents trained with Proximal Policy Optimization (PPO) that utilizes visual sensor data. We propose an algorithm that allows an effective and intuitive approximation of the PPO-trained neural network (NN). …”
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Designing a Visual Analytics Tool to Support Data Analysis Tasks of Digital Mental Health Interventions: Case Study by Gyuwon Jung, Heejeong Lim, Kyungsik Han, Hyungsook Kim, Uichin Lee

“…We aimed to evaluate the suitability of the model for DHI data analysis and explore task support using a visual analytics tool. …”
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Medical Image Visual Appearance Improvement Using Bihistogram Bezier Curve Contrast Enhancement: Data from the Osteoarthritis Initiative by Hong-Seng Gan, Tan Tian Swee, Ahmad Helmy Abdul Karim, Khairil Amir Sayuti, Mohammed Rafiq Abdul Kadir, Weng-Kit Tham, Liang-Xuan Wong, Kashif T. Chaudhary, Jalil Ali, Preecha P. Yupapin

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Joint Modeling of Longitudinal Visual Field Changes and Time to Detect Progression in Glaucoma Patients: A Secondary Data Analysis by Samaneh Sabouri, Elham Haem, Masoumeh Masoumpour, Hans G. Lemij, Koenraad A. Vermeer, Siamak Yousefi, Saeedeh Pourahmad

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Visualization OPLS class models of GC-MS-based metabolomics data for identifying agarwood essential oil extracted by hydro-distillation by Si-Zhu Qian, Yong-Mei Jiang, Qiao-Ling Yan, De-Huai Wu, Wen-Xian Zhang, Jen-Ping Chung

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Multimodal Spatio-Temporal Data Visualization Technologies for Contemporary Urban Landscape Architecture: A Review and Prospect in the Context of Smart Cities by Xiao Han, Zhe Li, Hao Cao, Bingyu Hou

Subjects: “…multimodal spatio-temporal data…”
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opstool: A Python library for OpenSeesPy analysis automation, streamlined pre- and post-processing, and enhanced data visualization by Yexiang Yan, Yazhou Xie

“…It simplifies structural analysis workflows by automating tasks such as mesh generation, data management, and data visualization. The package efficiently manages large-scale simulation results, enabling the structured extraction of system, nodal, and element responses. …”
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