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检索条件"任意字段=2025 International Conference on Visual Analytics and Data Visualization, ICVADV 2025"

共 496 条记录，以下是31-40 订阅

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Intelligent Autonomous Vehicle Driving Using Convolutional Neural Networks

Intelligent Autonomous Vehicle Driving Using Convolutional N...

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

作者： R. Aruna R J Dhanush A Abinesh R. Mathiyugan R. Sathya Department of IT Kongunadu College of Engineering and Technology Trichy Tamilnadu India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

This research study proposes a new concept of a selfdriving car simulation using JavaScript, following a structured course that guides the development through various stages. The simulation in corporate artificial sensors to provide the vehicle with environmental data, followed by the implementation of collision detection to ensure safety. Traffic simulation is the introduced, adding complexity to the driving scenario. The project integrates a neural network to enable autonomous decision-making and includes tools for visualizing and optimizing this network to improve performance. Finally, it explores finetuning the system and offers alive stream variant for realtime interaction. Overall, the project provides a comprehensive exploration of self- driving technology within a JavaScript framework, offering both theoretical insights and practical experience.

关键词： Deep learning visual analytics Image processing Neural networks data visualization Traffic control Sensors Safety Convolutional neural networks Autonomous vehicles

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VisionAid: Enhancing Accessibility for the visually Impaired with YOLO and gTTS

VisionAid: Enhancing Accessibility for the Visually Impaired...

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

作者： Bhagya Lakshmi Raghupathy J Nithyashri Department of Computing Technologies SRM Institute of Science and Technology Chennai India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

Daily environment navigating and accessing visual information are critical problems for people with vision disabilities. To reduce this discrepancy VisionAid, an assistive application was introduced to make visually challenged person have better accessibility via integration of YOLO for real-time object detection and gTTS which is library used for text-to-speech conversion. It recognizes objects, speaks text aloud and promotes good navigation skills that improve mobility and independence. VisionAid augments vision loss with modern technologies like GPS and SLAM for navigation, rather than traditional aids. This paper presents VisionAid as an end-to-end solution, fills the gaps in existing models and brings more autonomy to its users.

关键词： YOLO Simultaneous localization and mapping Navigation Text recognition visual analytics Real-time systems Libraries Hardware Text to speech Object recognition

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

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

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

作者： D. Prabhu M. Dhivya A. Gowridurga M. Dinesh Babu T.P Anish R Siva Subramanian Dept of CSE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Dept of CSE Ramco Institute of Technology Dept of CSBS R.M.D Engineering college. Department of Mechanical Engineering Rajalakshmi Institute of Technology Chennai Department of CSE RMK College of Engg and Tech

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

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.

关键词： Human computer interaction Ethics Quantum computing visual analytics Decision making Urban planning data visualization Machine learning Medical services Turning

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Hybrid Recommender Systems: Bridging Accuracy Gaps with Quantitative Evidence

Hybrid Recommender Systems: Bridging Accuracy Gaps with Quan...

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

作者： Diya Akshita Dhivakaran Vishali Muralidharan Balaraman Sundarambal N Kirubakaran Department of Computer Science and Business Systems Chennai Institute of Technology Chennai India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

Recommender systems have become a staple in the digital ecosystems such as in personalizing contents, products, and services, driving user engagement. The present study discusses the hybrid recommender system, a paradigm based on the combination of the strengths of multiple recommender systems techniques, to overcome some of the handicaps of individual techniques, such as collaborative filtering, content-oriented filtering, and knowledge-driven systems. We look at the different methodologies and address challenges in the direction of scalability, sparsity, and cold-start problems. This paper also offers a comparative insight of how hybrid systems improve user engagement compared to the traditional recommender system techniques. Finally, this study address the challenges faced by the hybrid systems and the future scope of research.

关键词： Ethics Technological innovation Privacy Accuracy Reviews visual analytics Scalability Hybrid power systems Recommender systems Optimization

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Autism Spectrum Disorder Detection Using Convolutional Neural Network

Autism Spectrum Disorder Detection Using Convolutional Neura...

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

作者： V. Angel Petricia Jacksy M Bhavadharani R Dept. of Computer Science and Engineering St. Joseph's Institute of Technology Chennai

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

Autism Spectrum Disorder(ASD) is a complex neurodevelopmental condition marked by challenges in social interaction, communication, and repetitive behaviors. Early detection is critical to enable timely intervention and improve outcomes for individuals with ASD. This research proposes an innovative framework that integrates Convolutional Neural Networks (CNNs) with advanced data preprocessing techniques, facial imaging, and behavioral analysis to enhance the accuracy and efficiency of ASD diagnosis. Leveraging data augmentation and transfer learning, the model achieves robust performance with high sensitivity and specificity. The novelty of this approach lies in its ability to identify subtle facial and behavioral patterns indicative of ASD, using a multidisciplinary strategy that combines neuroimaging, machine learning, and real-time diagnostic feedback. By advancing beyond traditional methods, this comprehensive framework holds the potential to revolutionize early ASD detection, making it more accessible, scalable, and precise.

关键词： Neuroimaging Autism visual analytics Face recognition Transfer learning Imaging data visualization Sensitivity and specificity Real-time systems Convolutional neural networks

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Predictive Maintenance for Electric Motors, RPM data, Machine Learning for Proactive Life Cycle Management

Predictive Maintenance for Electric Motors, RPM Data, Machin...

引用

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

作者： Mamilla Chetan Kumar D. Brindha Ettedi Rishwanth Reddy Department CSE Karunya University Coimbatore India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

The research develops predictive maintenance as a solution which prevents unexpected electric motor breakdowns. The objective remains to develop a machine learning algorithm for Remaining Useful Life (RUL) prediction which utilizes RPM (Revolutions Per Minute) values as input data. Past RPM data training of an autoencoder allows detection of anomalies while it predicts motor performance for proactive planning of maintenance activities. Real-time monitoring and visualization becomes possible through the implementation of this solution which functions using Python and streamer application. Their predictive model connects motor deterioration patterns to create double benefits of operational savings through decreased device downtime coupled with accident failure prevention and reactive maintenance improvement to predictive maintenance. The proposed model should be expanded to include new equipment types while new sensor integration will boost accuracy levels.

关键词： Training visual analytics Prevention and mitigation Autoencoders data visualization Machine learning Real-time systems Maintenance Predictive maintenance Electric motors

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Multiclass Skin Lesion Classification Using Capsule Network with Dynamic Routing

Multiclass Skin Lesion Classification Using Capsule Network ...

引用

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

作者： M Divya G Ukeshwaran K B Vimal Department of CSE Rajalakshmi Engineering College Chennai India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

Accurate classification is essential for identifying the skin lesions. This paper proposes a CapsNet architecture for classifying lesions into seven groups using the HAM10000 dataset. Images were resized to 28 × 28 × 28 pixels, pixel values were normalized, and the data was divided into 80% training and 20% validation groups as part of the preprocessing step. In order to efficiently capture spatial hierarchies in the data, the CapsNet design makes use of dynamic routing. It includes a decoder network for input reconstruction, which helps with regularization, a convolutional layer for feature extraction, and Primary and Digit Capsule Layers for class-specific representation. The model demonstrated CapsNet's ability to maintain spatial information and dependable classification accuracy.

关键词： Training Accuracy visual analytics Medical services Routing Feature extraction Skin Lesions Image reconstruction Skin cancer

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A Review on Object Detection in Traffic Scenarios Using Deep Learning Models

A Review on Object Detection in Traffic Scenarios Using Deep...

引用

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

作者： Kiranmai R Deeptha R K. Purnachand Department of Information Technology SRM Institute of Science and Technology Ramapuram Tamilnadu India Department of CSE(DS) B V Raju Institute of Technology Narsapur Telangana India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

Intelligent vehicle visual perception technology can assist automated driving systems in traffic scenarios by helping to recognize complicated situations quickly and accurately, which is necessary for safe and collision-free driving. Deep learning (DL)-based object identification has been a major advancement in automated driving. A survey is done in this paper on object detection in traffic scenes. This article reviews 30 research works with varied contributions. This work reviews the elected databases and analyses the varied object detection models in each paper. It further reviews the performance of each work and analyzes its maximal performance as well. In addition, varied datasets adopted in each considered work are examined. Finally, research gaps in object detection in traffic scenes are determined, which should be undertaken in future.

关键词： Surveys Deep learning YOLO Analytical models Accuracy Reviews Intelligent vehicles visual analytics Real-time systems visual perception

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Secure Attendance System Leveraging Machine Learning and Blockchain

Secure Attendance System Leveraging Machine Learning and Blo...

引用

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

作者： R Daniel Akhila Nidumolu Kumara Sai Manikonda Manoj Kumar Movva Sivani Majji Department of Computer Science and Engineering Prasad V Potluri Siddhartha Institute of Technology Vijayawada India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

The system enables schools to reach maximum operational success together with reliable accountability in attendance handling. The tracking solution unites decentralized blockchain with facial recognition technology to provide a safe contemporary monitoring platform. The system provides precise identification along with security risk elimination which surpasses traditional insufficient performance methods. The blockchain system protects data integrity by stopping unauthorized modifications so that only authorized personnel maintain exclusive access to confidential attendance records. The system resolves privacy matters by using an organized data management system that combines sensitive information protection with adaptable scalability options. The system maintains high reliability according to performance evaluations while biometric authentication with blockchain integration establishes it as a leading solution for modern automated attendance tracking.

关键词： Technological innovation Face recognition Scalability visual analytics Urban areas Authentication Biometric authentication Real-time systems Blockchains Reliability

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Weather data Analysis and visualization Using PySpark and PowerBI

Weather Data Analysis and Visualization Using PySpark and Po...

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

作者： Dash, Bivanshu Khatri, Garv Sinha, Abhijat Gouthaman, P. School of Computing College of Engineering & Technology Srm Institute of Science and Technology Department of Networking and Communications Kattankulathur603203 India

ISBN: (纸本)9798331521394

Weather analysis data comprises a lot of information to understand atmospheric conditions. The following document provides a 10-year summary of local metric weather data analysis. The main activities focused on discovering different patterns of weather data related to temperature, rainfall, wind velocity, and humidity apart from extreme heat, air quality and effects on health issues due to diseases transmitted by vectors for protection. Several data analysis techniques were put into application on the part of the research team, broadly categorized into summary statistics, time series analyses, and classification algorithms. Results are as follows: A clear trend of increasing average temperature has emerged over the course of the study. Seasonal fluctuations have therefore caused varying levels of precipitation, resulting in rainfall occurring more frequently during some periods. Lastly, unique weather clusters have been identified in the isolated corridors around the regional weather. This information impacts other areas such as agriculture, road construction, and adaptation to climate. Results of microclimate assessment can also be used in public awareness programs and inform at-risk youth in early warning systems for weather-related health risks. The thunderstorm that produces the wind is driven by changed precipitation, air stability, and radiant energy, though winds are important. We then discussed the location and number of wind energy plants to be placed. © 2025 IEEE.

关键词： Rain

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