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Proceedings of international conference on visual analytics and data visualization, icvadv 2025

Proceedings of International Conference on Visual Analytics ...

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2025 international conference on visual analytics and data visualization, icvadv 2025

ISBN: (纸本)9798331521394

The proceedings contain 250 papers. The topics discussed include: metaheuristic approaches for energy efficiency and network lifetime optimization in wireless sensor networks;ai powered ayurvedic leaf prediction and disease classification: A comprehensive analysis;smart energy forecasting: energy consumption prediction in data centers;Internet of Things (IoT) based wearable device for monitoring women health;hybrid solar-wind energy system with enhanced power optimization using nature-inspired egret swarm algorithm;enhancing real time hand gesture recognition through ensemble voting method;predictive analysis of kidney diseases with artificial intelligence and data science;and the role of features in image retrieval system: A survey.

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PhD Symposium, Posters, Demos, and A Web for more inclusive, sustainable and prosperous societies, WEB-for-GOOD 2024 and 1st international Workshop on AI and Web data analytics, AIWDA 2024 form the 25th international conference on Web Information Systems Engineering, WISE 2024

PhD Symposium, Posters, Demos, and A Web for more inclusive,...

引用

PhD Symposium, Posters, Demos, and A Web for more inclusive, sustainable and prosperous societies, WEB-for-GOOD 2024 and 1st international Workshop on AI and Web data analytics, AIWDA 2024 form the 25th international conference on Web Information Systems Engineering, WISE 2024

ISBN: (纸本)9789819614820

The proceedings contain 36 papers. The special focus in this conference is on Web Information Systems Engineering. The topics include: Effective Transparent Monitoring of Personal data;iCNN-LSTM: An Incremental CNN-LSTM Based Ransomware Detection System;a Mini Review on Purchaser Security in the Metaverse: Challenges and Solutions;low-Resource dataset Synthetic Generation for Hate Speech Detection;Web Open data to SDG Indicators: Towards an LLM-Augmented Knowledge Graph Solution;leveraging Sentence-Transformers to Overcome Query-Document Vocabulary Mismatch in Information Retrieval;time Distance Aware for Multi-component Graph Collaborative Filtering;scientific Documents Recommendation Based on Graph Convolutional Network;semantic Communication of Images Using Image Generation and Image Captioning Models;leveraging Optimization Techniques for Effective Arabic Query Expansion;DURLLCON: Deep Reinforcement Learning for URLLC Optimization in Multi-edge Networks;FMM-RNS: A Fast HMM Map Matching Method Based on Road Network Simplification;Context-Aware Selection of Machine Learning as a Service (MLaaS) in IoT Environments;GraphTFD: A Fraud Detection System Based on Graph Transformer;MLGE-AC-UFD: Multi-level Graph Embedding and Approximate Computation for Unsupervised Fraud Detection;SeCORE: Quantitative Security Assurance and Evaluation Platform;developing Geospatial Web Applications Using Question Answering Engines, Knowledge Graphs and Linked data Tools;A visual Query Builder for DBpedia;FL-PPELA: Partial Parameter Enhancement and Local Adaptive Aggregation for Personalized Federated Learning;ORCPM: An Online Regional Core Pattern Mining System;MTRM: A Web-Miner Multi-Threshold Mining Co-location Patterns to Mitigate Redundancy;constrained Path Optimization on Time-Dependent Road Networks;prompt Strategies for Sarcastic Meme Detection: A Comparative Analysis;Deepfake Detection in Cancer Medical Imaging Using CNN Architectures;strengthening Cybersecurity: The Influence o

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visual analytics for Smart Decision-Making: Techniques, Applications, and Future Directions

Visual Analytics for Smart Decision-Making: Techniques, Appl...

引用

2025 international conference on visual analytics and data visualization, icvadv 2025

作者： Prabhu, D. Dhivya, M. Gowridurga, A. Dinesh Babu, M. Anish, T.P. Siva Subramanian, R. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Dept of Cse India Ramco Institute of Technology Dept of Cse India R.M.D Engineering College. Dept of Csbs India Rajalakshmi Institute of Technology Department of Mechanical Engineering Chennai India Rmk College of Engg and Tech Department of Cse India

ISBN: (纸本)9798331521394

visual analytics is the scientific discipline that uses methods from data visualization machine learning, and human-computer interaction to help users make sense of complex data. As a tool that turns enormous data sets into clear and engaging visualizations, visual analytics assists decision makers in searching, analyzing, and concluding for multiple fields including business, health care, city planning, and education. This paper aims at discussing major forms of visualization, their uses, limitations and prospects in supporting smart decision making. It emphasizes the application of contemporary technologies like AI, VR/AR, and new promising fields like blockchain and quantum computing that define the development of visual analytics. Also, data representation and bias issues are discussed, and the audience is explained that they were excluded due to ethical reasons. The last section of the paper presents the change in the position of visual analytics as a tool that enhances human decisions and the shift in the application of this technology across various fields. © 2025 IEEE.

关键词： Video analysis

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Automated Tuning of HPL Benchmark Parameters for Supercomputers

Automated Tuning of HPL Benchmark Parameters for Supercomput...

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visual analytics and data visualization (icvadv), international conference on

作者： Renju Rajeev Chinmay Ratnakar Potdar Independent Researcher Oregon USA University of Michigan Ann Arbor Chandler AZ

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

This research presents an automated tuning approach for optimizing parameters of the High-Performance Linpack (HPL) benchmark, which is crucial for assessing supercomputer performance. Leveraging the Periscope Tuning Framework (PTF), the study explores the impact of various parameters such as problem size, block size, and process grid configuration on computational efficiency. Through rigorous experimentation and analysis, the proposed plugin efficiently identifies optimal configurations, offering valuable insights for enhancing supercomputer performance.

关键词： visual analytics data visualization Benchmark testing Supercomputers Time measurement Computational efficiency Tuning Optimization

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Exploring Eye-tracking Features to Understand Students' Sensemaking of Learning analytics Dashboards 25

Exploring Eye-tracking Features to Understand Students' Sens...

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15th international conference on Learning analytics and Knowledge

作者： Ahrar, Arash Doroodian, Mohammadreza Hatala, Marek Simon Fraser Univ Surrey BC Canada

ISBN: (纸本)9798400707018

Learning analytics dashboards (LADs) are widely used in learning analytics as visual tools to present information about learning activities and outcomes. However, only few studies have explored how students make sense from LAD elements and what cognitive processes follow after viewing each element. In this study, we explore how eye-tracking data can help researchers to identify salient LAD elements critical to students' sensemaking process. Our findings reveal that the eye-tracking derived features, including fixation duration and eye movement patterns, are highly indicative of students' social comparison tendencies and offer valuable insights into their sensemaking processes.

关键词： learning analytics dashboards eye tracking sensemaking motivation

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Research on visual Monitoring and Feedback of Online Learning for College Students from the Perspective of Learning analytics 24

Research on Visual Monitoring and Feedback of Online Learnin...

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7th international conference on Educational Technology Management, ICETM 2024

作者： Xin, Hua Yang, Fan Northeast Normal University Jilin Changchun China Changchun Humanities and Sciences College Jilin Changchun China

ISBN: (纸本)9798400717468

Big data and learning analytics technologies use log data recorded by learning systems, track learning tasks, and provide visual reports to help teachers improve their practices, encourage students to learn and improve their academic performance. This study, grounded in learning analytics technology, delves into the influence of visual monitoring and feedback mechanisms on students’ online learning performance and their capacity for self-regulated learning within digital environments. Ultimately, it seeks to offer insightful guidance for the evolution and application of learning analytics and visualization technologies. © 2024 Copyright held by the owner/author(s).

关键词： Self-supervised learning

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AI Circuit Builder: Bridging Language & Logic

AI Circuit Builder: Bridging Language & Logic

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visual analytics and data visualization (icvadv), international conference on

作者： Saffron Dionysius T Rakesh G Jasmine Mystica K Electronics and Communication Engineering St. Joseph's College of Engineering Chennai India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

Circuit design is one of the initial stages of any electronic & electrical projects. It has been a hard part of building a product since, it can be easily solved only by professional developers. In order to solve this part, a tool is build that combines both the core knowledge of electronics & artificial intelligence. AI circuit builder is a tool that can be used by people who are beginners and don't really have a particular knowledge in a specific part of the circuit. The user can easily prompt the LLM in the form of natural language. The tool then generates a digital format for the desired output. The output is processed with a routing algorithm in order to sort out the routes. With the help of various modern technologies for the web the tool provides a seamless user experience overall.

关键词： visual analytics Layout Buildings data visualization Routing User experience Natural language processing Circuit synthesis Logic Artificial intelligence

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CNN - Powered Deep Learning Framework for Advanced Image Steganography and data Security

CNN - Powered Deep Learning Framework for Advanced Image Ste...

引用

2025 international conference on visual analytics and data visualization, icvadv 2025

作者： Pasha, S.K. Sameer Ajay, K. Harish, N. Sreenu, S. Vardhaman College of Engineering Department of Ece Hyderabad India

ISBN: (纸本)9798331521394

Image steganography, the art of concealing information within images, has advanced significantly with the integration of deep learning, enhancing both data security and concealment. In this study, we propose a novel framework leveraging Convolutional Neural Networks (CNNs) to embed and extract hidden messages seamlessly. Our approach trains a CNN to learn robust feature representations that enable imperceptible integration of concealed data with cover images, ensuring high resistance to human detection and steganalysis. Extensive evaluation on a dataset demonstrates the superiority of our method in payload capacity, image quality, and security compared to traditional steganography techniques. These findings underscore the transformative potential of deep learning-based steganography for secure communication and data protection in the digital age. © 2025 IEEE.

关键词： Steganography

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A Survey of visualization Techniques for Digital Twins 20th

A Survey of Visualization Techniques for Digital Twins

引用

20th international conference on Computing in Civil and Building Engineering, ICCCBE 2024

作者： Paziraei, Mahsa Motamedi, Ali Québec Université MontréalQCH3C 1K3 Canada

ISBN: (纸本)9783031842078

In today’s fast-evolving technological landscape, digital twins are emerging for understanding and managing complex systems and to assist stakeholders in the process of informed decision-making. Despite the growing importance of this technology, there exists a noticeable gap in the literature, with limited attention devoted to crafting effective visualization techniques tailored specifically to digital twins. To rectify this gap, this paper’s primary objective is to conduct a thorough examination of existing research, encompassing a diverse array of use cases benefiting from various visualization techniques. This comprehensive inquiry has led to the categorization of visualization techniques based on data types, specific use cases, interactivity requirements, and system complexity. The outcomes can be used by researchers and industry practitioners to better design and implement data visualization interfaces for their developed digital twins, allowing visual analytics and heuristic problem solving using integrated data of digital twins. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： visual analytics

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Design and Evaluation of a Hybrid Adder Employing the Power Gating Method

Design and Evaluation of a Hybrid Adder Employing the Power ...

引用

visual analytics and data visualization (icvadv), international conference on

作者： Sowmiya K S.Praveen Kumar T. Aravind S. Ramya Department of Electronics and Communication Engineering Saveetha Engineering College Chennai India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

The multiplexers (mux) select the final sum and carry, rendering the CSLA an inefficient area adder. Two rows of ripple carry adders are present. While the suggested AFPL logic can reduce power dissipation in the CBL based SQRT CSLA, the CBL based SQRT CSLA is preferred to address the problems of area efficiency and latency. The major objective is to use AFPL logic to develop a CBL-based SQRT CSLA-hybrid adder that will increase speed and reduce power dissipation.

关键词： Multiplexing visual analytics data visualization Logic gates Rendering (computer graphics) CMOS technology Hybrid power systems Power dissipation Logic Adders

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