检索结果-内蒙古大学图书馆

2025 IEEE conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025

作者： Zhang, Qing Huang, Yifei Rekimoto, Jun The University of Tokyo Japan Sony Csl Kyoto Japan

ISBN: (纸本)9798331514846

This paper presents a novel automated workflow for analyzing eye-tracking data in first-person videos. Our system uses the Segment Anything Model 2 (SAM2) to segment and track objects, correlating them with gaze information to provide a detailed understanding of visual attention and hand-object interactions. The pipeline outputs a structured JSON file containing rich information about gaze behavior, object interactions, and their temporal relationships. We demonstrate the system's effectiveness in a life science operational context and compare its performance with a multimodal Large Language Model (LLM) for automated annotation. Our findings highlight the potential of combining advanced computer vision techniques with LLMs for comprehensive and scalable analysis of gaze behavior in real-world scenarios. © 2025 IEEE.

关键词： automatic event detection egocentric video processing Eye tracking gaze movement trajectory

来源：评论

学校读者我要写书评

暂无评论

Preliminary exploration of Geotechnical data Interpretation and GIS Integration: Toward AI Implementation

Preliminary Exploration of Geotechnical Data Interpretation ...

引用

Artificial Intelligence, Applications, Innovation and Ethics (AI2E), International conference for

作者： Danah S. Al-Enezi Kuwait Institute for Scientific Research Kuwait

ISBN: (数字)9798331513733

ISBN: (纸本)9798331513740

Kuwait's rapid urban expansion, driven by large-scale projects, such as AI-Mutlaa City and Silk City, highlights the need for comprehensive geotechnical data to support sustainable development. However, detailed studies on the subsurface geotechnical characteristics of the northern regions of Kuwait are lacking. This study focuses on establishing a preliminary geotechnical database, addressing challenges encountered during its development, and conducting a pilot analysis for AI-Mutlaa City. A questionnaire was distributed to geology, environmental, geotechnical, and engineering professionals to identify the challenges associated with creating the database. The survey revealed issues such as inconsistent data formats, limited access to borehole logs, and the hesitancy of private firms to share data due to security concerns. Despite these challenges, borehole data from ministries and private organizations were collected and organized using Microsoft Excel. These data formed the foundation of the geotechnical database, which was analyzed and visualized using Geographic Information System (GIS) tools. The pilot study in AI-Mutlaa City revealed predominantly dense soil layers, with significant variations in soil strength at a depth of 19.5 m, where standard penetration resistance ranged from 10 to 50 blows. These findings emphasize the variability of soil properties in the area and underscore the importance of site-specific investigations. The established geotechnical database provides valuable insights for construction planning, risk assessment, and geohazard management. Moving forward, the integration of artificial intelligence into the database is planned to enhance data processing, automate soil classification, and predict subsurface conditions in an effort to contribute to advanced geotechnical practices in Kuwait.

关键词： Surveys Technological innovation Accuracy databases Urban areas Soil properties visual databases Artificial intelligence Sustainable development Geographic information systems

来源：评论

学校读者我要写书评

暂无评论

A Bibliometric analysis of visualizing Knowledge Mapping for Learning Management System

A Bibliometric Analysis of Visualizing Knowledge Mapping for...

引用

International conference on Educational and Information Technology (ICEIT)

作者： Xiquan Ye Jiaming Wang Danya Liu Qinggui Qin Guangdong Business and Technology University Zhaoqing China GXNU School of Design Guangxi Normal University Guilin China Foreign Language School Guangzhou Institute of Science and Technology Guangzhou China School of Art and Design Guangzhou Institute of Science and Technology Guangzhou China

ISBN: (数字)9798331540883

ISBN: (纸本)9798331540890

With the advancement of technology and methodologies, Learning Management System (LMS) has seen a profound and extensive application in the field of education, thereby rendering scientific and systematic research on it particularly significant. The primary objective of this study is to comprehensively explore the current application status and developmental trajectory of LMS in educational practice. To this end, the authors screened approximately 1,347 high-quality related articles from the Web of Science (WOS) and conducted a visual analysis using the CiteSpace. By analyzing countries, institutions, journals, and keywords, this study reveals the research hotspots and evolving trends of LMS over the past two decades. The results show that the research focus of LMS has gradually expanded from the initial exploration of basic theories on system design to a wide range of applications in educational practice. Furthermore, it has increasingly centered on personalized learning experiences, the improvement of learning efficiency, and the enhancement of learning outcomes. Additionally, the analysis reveals that different countries and regions exhibit diversity and variability in their research emphasis and developmental trends regarding LMS. The conclusions and findings of this study provide some references and insights for future research endeavors and practical implementations of LMS in the field of education. These contributions have the potential to promote ongoing innovation and facilitate the development of LMS in education.

关键词： Learning management systems visualization Systematics databases Soft sensors Education Bibliometrics data visualization Market research Trajectory

来源：评论

学校读者我要写书评

暂无评论

3rd International conference on Computing, Communication and Learning, CoCoLe 2024

3rd International Conference on Computing, Communication and...

引用

3rd International conference on Computing, Communication and Learning, CoCoLe 2024

ISBN: (纸本)9783031790409

The proceedings contain 34 papers. The special focus in this conference is on Computing, Communication and Learning. The topics include: Unveiling the Future of Agriculture: Transformative Impact of Advanced Deep Learning with Mobile App Technology for Plant Leaf Disease Detection;air Quality Prediction Using Ensemble Learning;real-Time Highway Accident Detection and Response with Deep Learning and Edge Caching;Detection of Yoga Poses Using CNN and LSTM Models;Enhancing Rhetorical Role Identification in Legal Documents Using Large Language Models and IN_place data Augmentation;persona-Driven Dialog Generation: Enhancing User Engagement Through Linguistic Proficiency and Personalization;design and Development of a Working Tool for visual Speech and Speaker Recognition for Marathi and Gujarati Languages;analysis of Tracking Algorithms for Multi-person Tracking;personalized Human Activity Recognition Using Smartphone Technology;a Comprehensive Comparative Study of Breast Cancer Detection Using Machine Learning Techniques to Improve Diagnosis;performance Improvement of Machine Learning Algorithms Through Information-Theoretic Class Based Feature Multicorrelation Enabled Feature Selection for Cervical Cancer Prediction;Towards Robust Skin Cancer Diagnosis: Deep Fusion of VGG16 and MobileNet Features;deep Transfer Model Based Accurate Brain Tumor Classification in Magnetic Resonance Images;pneumonia Detection from X-Ray Images Using Deep Transfer Learning;crop Identification by Using Machine Learning Classification Algorithm;biotic Stress Classification of Pear Leaves Diseases Using Stacking Ensemble Approaches;unveiling Emotions from Audio: A Multi-model exploration Leveraging Diverse datasets;a Contrastive Meta-learning Approach with Isotropic Sparse Decomposition for Scalable Audio-visual Learning;audio-Based Video Segmentation for Long Duration Videos Using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics;video Content Moderation in Instagram;an E

关键词：

来源：评论

学校读者我要写书评

暂无评论

visual Recognition and Recommendation System for Cultural Tourism Attractions Based on Deep Learning 1st

Visual Recognition and Recommendation System for Cultural To...

引用

1st International conference on Pattern analysis and Machine Intelligence, ICPAMI 2024

作者： Li, Si Yang, Xiaoqi Guangzhou College of Commerce Guangzhou China

ISBN: (纸本)9789819633487

This article designs and constructs a deep prediction model that combines deep neural networks and Transformer encoders. Build a prediction model using deep neural networks and Transformer encoders. Due to the powerful feature extraction ability of deep neural networks and their ability to fuse heterogeneous data from multiple sources, they are used to process basic information about users and scenic spots. The Transformer encoder is used to process user comment data, modeling long-distance dependencies between words in sentences through position encoding and self attention at the encoding end, thereby fully mining the comprehensive features of comment data and obtaining more potential user interest features. The features of the last three networks are input into the factorization machine to further learn their potential interaction relationships, thereby improving the prediction accuracy of the model and alleviating the problem of data sparsity. Finally, the effectiveness and accuracy of this recommendation model were verified through experimental comparison with traditional recommendation models. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Association analysis for visual exploration of Multivariate Scientific data Sets

引用

IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2016年第1期22卷 955-964页

作者： Liu, Xiaotong Shen, Han-Wei Ohio State Univ Columbus OH 43210 USA

The heterogeneity and complexity of multivariate characteristics poses a unique challenge to visual exploration of multivariate scientific data sets. as it requires investigating the usually hidden associations between different variables and specific scalar values to understand the data's multi-faceted properties. In this paper, we present a novel association analysis method that guides visual exploration of scalar-level associations in the multivariate context. We model the directional interactions between scalars of different variables as information flows based on association rules. We introduce the concepts of informativeness and uniqueness to describe how information flows between scalars of different variables and how they are associated with each other in the multivariate domain. Based on scalar-level associations represented by a probabilistic association graph, we propose the Multi-Scalar Informativeness-Uniqueness (MSIU) algorithm to evaluate the informativeness and uniqueness of scalars. We present an exploration framework with multiple interactive views to explore the scalars of interest with confident associations in the multivariate spatial domain, and provide guidelines for visual exploration using our framework. We demonstrate the effectiveness and usefulness of our approach through case studies using three representative multivariate scientific data sets.

关键词： Multivariate data association analysis visual exploration multiple views

来源：评论

学校读者我要写书评

暂无评论

Interactive data exploration through Multiple visual Contexts with Different data Models and Dimensions 21

Interactive Data Exploration through Multiple Visual Context...

引用

21st International conference on Information visualisation (iv)

作者： Phi Giang Pham Huang, Mao Lin Quang Vinh Nguyen Univ Technol Sydney NSW Australia Cantho Tech Econ Coll Can Tho Vietnam Western Sydney Univ Sydney NSW Australia

ISBN: (纸本)9781538608319

visual analytics plays a key role in bringing insights to audiences who are interested and dedicated in data exploration. In the area of relational data, many advanced visualization tools and frameworks are proposed in order to dealing with such data features. However, the majority of those have not greatly considered the whole process from data-model mining to query utilizing on dimensions and data values, which might cause interruption to exploration activities. This paper presents a new interactive exploration framework for relational data analysis through automatic interconnection of data models, data dimensions and data values. The basic idea is to construct a relative and switchable chain of those context representations by integrating our previous techniques on node-link, parallel coordinate and scatterplot graphics. This approach enables users to flexibly make relative queries on desired contexts at any stage of exploration for deep data understanding. The result from a typical case study for the framework demonstration indicates that our approach is able to handle the addressed challenge.

关键词： visual analytics dynamic visual query interactive user interface

来源：评论

学校读者我要写书评

暂无评论

VarCopy: a visual Exploratory data analysis Platform for Copy Number Variation Studies 24

VarCopy: a Visual Exploratory Data Analysis Platform for Cop...

引用

24th International conference Information visualisation (iv)

作者： Bove, Fabio Mandreoli, Federica Martoglia, Riccardo Pisi, Valentino Taccioli, Cristian Vischioni, Chiara Univ Modena & Reggio Emilia FIM Modena Italy Univ Padua MAPS Padua Italy

ISBN: (纸本)9781728191348

The study of such a complex phenomenon as cancer, which depends on several but unexplored and unclear factors, needs new ways to visualize, analyze and combine different data both on species characteristics and genes function. To this respect, we propose a novel platform, named VarCopy, supporting visual Exploratory data analysis (EDA) in the context of Copy Number Variation (CNV) data. The platform will be publicly available as a web application soon, and is, to our best knowledge, the first tool allowing visual, interactive exploration and analysis of the CNV landscape of multiple species, allowing the identification of new target genes that might be useful for biomedical research.

关键词： Copy Number Variations interactive visualization Exploratory data analysis scalable data science data analysis models

来源：评论

学校读者我要写书评

暂无评论

A visual analytics system of data gathered from colonial seabirds 23

A visual analytics system of data gathered from colonial sea...

引用

23rd International conference on the Information visualisation (iv) - Incorporating Biomedical visualization, Learning Analytics and Geometric Modelling and Imaging

作者： Palleschi, Alessia Crielesi, Matteo Univ Roma La Sapienza Engn Comp Sci Rome Italy

ISBN: (纸本)9781728128382

visual environment techniques can support an easy exploration of large datasets. A visual environment has been developed to explore the breeding data of a monogamous and nest-site faithful seabird, the Scopoli's shearwater. The aim was to provide a tool, easy-to-use for ornithologists, to examine the history of the nests, and the relationships of the various factors affecting the variability in the breeding success during a four year time period. The tool is based on four coordinated views, linked to each other and to the dataset, each showing a different grouping of data according with spatial, temporal, and categorical criteria. This tool can help the ornithologists to pick up easily the similarities and differences between the nests and offers a new instrument for the first exploration of data.

关键词： visual Analytics Shearwater breeding biology analysis of breeding data pair fidelity nest fidelity

来源：评论

学校读者我要写书评

暂无评论

Image sequence analysis and face feature extraction

Image sequence analysis and face feature extraction

引用

conference on visual data exploration and analysis iv

作者： Ravaut, F Stamon, G Univ. de Paris V--Univ. Rene Descartes (France)

Based on the hypothesis of one-to-one relationship between the external symptoms of epileptic fits and the abnormal cerebral functioning which causes it, the computerized study of epileptic fit video tapes brings new ... 详细信息

ISBN: (纸本)0819424285

关键词： image processing image analysis snakes feature extraction face segmentation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：