检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

612 篇 会议
2 篇 期刊文献

馆藏范围

614 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

130 篇 工学
- 86 篇 计算机科学与技术...
- 61 篇 软件工程
- 43 篇 建筑学
- 42 篇 土木工程
- 42 篇 测绘科学与技术
- 15 篇 控制科学与工程
- 14 篇 电气工程
- 10 篇 光学工程
- 10 篇 信息与通信工程
- 9 篇 电子科学与技术（可...
- 8 篇 石油与天然气工程
- 8 篇 安全科学与工程
- 7 篇 机械工程
- 7 篇 仪器科学与技术
- 7 篇 材料科学与工程（可...
- 5 篇 交通运输工程
- 5 篇 环境科学与工程（可...
44 篇 管理学
- 31 篇 管理科学与工程(可...
- 25 篇 工商管理
- 15 篇 图书情报与档案管...
35 篇 理学
- 17 篇 数学
- 12 篇 物理学
- 7 篇 统计学（可授理学、...
- 5 篇 化学
10 篇 法学
- 8 篇 社会学
9 篇 经济学
- 9 篇 应用经济学
8 篇 医学
- 8 篇 基础医学(可授医学...
- 8 篇 临床医学
- 8 篇 公共卫生与预防医...
4 篇 教育学
- 4 篇 教育学
3 篇 农学
1 篇 文学

主题

243 篇 visualization
174 篇 visual analytics
145 篇 accuracy
130 篇 data models
111 篇 real-time system...
84 篇 data visualizati...
77 篇 feature extracti...
73 篇 training
71 篇 deep learning
56 篇 speech processin...
52 篇 computational mo...
52 篇 predictive model...
50 篇 convolutional ne...
47 篇 signal processin...
43 篇 analytical model...
41 篇 adaptation model...
39 篇 transformers
36 篇 data mining
36 篇 semantics
32 篇 scalability

机构

5 篇 department of el...
4 篇 symbiosis instit...
4 篇 department of bi...
3 篇 department of co...
3 篇 hindustan instit...
3 篇 rajalakshmi engi...
3 篇 school of comput...
3 篇 chitkara univers...
3 篇 department of el...
3 篇 data analytics h...
3 篇 department of it...
3 篇 saveetha school ...
3 篇 department of el...
3 篇 saveetha school ...
2 篇 department of co...
2 篇 faculty of compu...
2 篇 shanghai jiao to...
2 篇 department of co...
2 篇 department of co...
2 篇 nagpur campus pu...

作者

7 篇 n. mohankumar
5 篇 r. sathya
5 篇 m. rajmohan
4 篇 asha sundaram
4 篇 p kumar
3 篇 l.n. jayanthi
3 篇 senthil pandi s.
3 篇 mustafa keskin
3 篇 alp a. yalman
3 篇 k. karthikeyan
3 篇 arpana prasad
3 篇 v asha
3 篇 rajmohan m.
3 篇 mohankumar n.
3 篇 enis teper
3 篇 emre rençberoğlu
3 篇 sinan keçeci
3 篇 t. r. ganeshbabu
2 篇 s. muthumarilaks...
2 篇 chuan-xian ren

语言

505 篇 英文
109 篇 其他
9 篇 中文

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

共 614 条记录，以下是351-360 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Development of an Intelligent System for Predictive Analysis of Student Academic Performance Using Machine Learning Techniques

Development of an Intelligent System for Predictive Analysis...

引用

international conference on Inventive Computation Technologies (ICICT)

作者： Anand Tripathi KTV Reddy Dept. of Artificial Intelligence and Data Science Datta Meghe Institute Of Higher Education and Research Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research (Deemed to be University) Wardha

ISBN: (数字)9798331512248

ISBN: (纸本)9798331512255

This research proposes an intelligent system utilizing machine learning techniques to predict student academic performance. A Random Forest classification model was developed based on a dataset consisting of key attributes such as attendance, previous grades, hours spent weekly on studying, medical emergencies, and assignment scores. The model classifies students into three categories: High-Performing, Average, and At-Risk, achieving an impressive accuracy of 99 %. Attendance and previous grades emerged as the key determinants of academic success. To facilitate real-world application, this project also includes an interactive Streamlit-based web application, enabling educators to make instant data-driven predictions by inputting students' academic details. This tool empowers educators with actionable insights, allowing them to implement timely interventions, optimize resource allocation, and adapt learning experiences for improved student outcomes. The study underscores the rapid advancements achieved through predictive analytics in education. By integrating artificial intelligence into pedagogic practice, institutions can proactively address learning difficulties, enhance student engagement, and foster academic excellence.

关键词： Education data visualization Learning (artificial intelligence) Alarm systems Real-time systems Resource management data mining Predictive analytics Intelligent systems Random forests

来源：评论

学校读者我要写书评

暂无评论

BrainVis: Exploring the Bridge between Brain and visual Signals via Image Reconstruction

BrainVis: Exploring the Bridge between Brain and Visual Sign...

引用

international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Honghao Fu Hao Wang Jing Jih Chin Zhiqi Shen Nanyang Technological University Singapore

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Analyzing and reconstructing visual stimuli from brain signals effectively advances our understanding of the human visual system. However, EEG signals are complex and contain significant noise, leading to substantial limitations in existing approaches of visual stimuli reconstruction from EEG. These limitations include difficulties in aligning EEG embeddings with fine-grained semantic information and a heavy reliance on additional large-scale datasets for training. To address these challenges, we propose a novel approach called BrainVis. This approach introduces a self-supervised paradigm to learn EEG time-domain features and incorporates frequency-domain features to enhance EEG representations. We also propose a multi-modal alignment method called semantic interpolation to achieve fine-grained semantic reconstruction. Additionally, we employ cascaded diffusion models to reconstruct images. Using only 9.1% of the training data required by previous mask modeling works, our proposed BrainVis outperforms state-of-the-art methods in both semantic fidelity reconstruction and generation quality. The code is available at https://***/RomGai/BrainVis.

关键词： Training visualization Time-frequency analysis Semantics Training data visual systems Diffusion models Brain modeling Electroencephalography Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

GenAI based data Extraction with Query-Based Insights

GenAI based Data Extraction with Query-Based Insights

引用

Emerging Smart Computing and Informatics (ESCI), conference on

作者： Swati Shilaskar Sharayu Chakole Amit Samarth Prem Shejole Department of Electronics and Telecommunication Engineering Vishwakarma Institute of Technology Pune Pune India

ISBN: (数字)9798331515683

ISBN: (纸本)9798331515690

An innovative method has been proposed to enhance data extraction and analysis from PDF files by combining OCR technology with advanced AI models. The process begins with a PDF Reader module that employs OCR to extract text from PDFs, addressing challenges posed by the unstructured nature of document content. To tackle these difficulties, the Gemini LLM model transforms semi-structured or unstructured text into structured JSON formats. Once the data is structured, the Pandas AI component leverages the GROQ and Mistral LLM models to generate visualizations such as charts, graphs, and tables. These visual representations provide a more intuitive and insightful way to interpret the extracted data. This approach not only ensures more accurate data extraction but also significantly enhances the analysis and comprehension of complex documents.

关键词： visualization Computational modeling Optical character recognition data visualization Transforms Portable document format data models data mining Artificial intelligence Informatics

来源：评论

学校读者我要写书评

暂无评论

Large Language Models for Inclusive Image Captioning

Large Language Models for Inclusive Image Captioning

引用

international Scientific-Professional conference on Information Technology (IT)

作者： Rostyslav Zatserkovnyi Zoriana Novosad Roksoliana Zatserkovna Lviv University of Trade and Economics Lviv Ukraine Lviv Polytechnic National University Lviv Ukraine

ISBN: (数字)9798331517649

ISBN: (纸本)9798331517656

The recent rapid development of artificial intelligence (AI) has opened up many new possibilities for making digital content more accessible and inclusive. One of the most exciting advancements in this area is the use of large language models (LLMs) for image captioning. Trained on vast amounts of text data, these models, among other capabilities, can generate detailed descriptions of images – this can make visual content on the Web, which often has missing or unreliable captions, more understandable for individuals with visual *** this article, we investigate the possibility of using LLMs to improve image captioning of visual web content. We discuss the current capabilities of this new class of ML models, comparing several free and open-source LLMs that can be utilized for the task. Finally, we propose the architecture of a novel system that can be utilized by visually impaired web users to automatically caption visual content on the websites they visit.

关键词： visualization Large language models visual impairment data models Service-oriented architecture Information technology

来源：评论

学校读者我要写书评

暂无评论

Edge-IoT Architecture-Based visualization Service Platform for RTO Real-Time Monitoring

Edge-IoT Architecture-Based Visualization Service Platform f...

引用

international conference on Advanced Communication Technology (ICACT)

作者： Hoon-Min Park Dal-Hwan Yoon Hyun-Min Jung Dae-Hee Lee Tae-Yeung Lim Hyun Kim Myung-Ki Jang Emsolution Co. Ltd Suwon Korea Department of Electronic Engineering Semyung University Korea Devicenet Co. Ltd Korea

ISBN: (数字)9791188428137

ISBN: (纸本)9798331507602

In this study, we present the Edge IoT Architecture (Architecture) for analyzing the real-time state information of the regenerative thermal oxidizer (RTO) and implement a visualization method. The Edge-IoT architecture system interfaces with the programmable logic control (PLC) that controls the monitoring of RTO operations and transmits real-time data to a remote server, analyzes the channel data received through the IoT to build a database, and visualizes the characteristics of database (DB) analysis. IoT architecture implementation for fault diagnosis and maintenance of RTO designs IoT circuits on PLC control panels that control monitoring. Compatibility and information security are considered to facilitate remote maintenance. The received data is segmented by each channel and analyzed by a visualization algorithm to detect anomalies in the segmented data. At this time, the visualized data is judged to be normal, insufficient, or warning, depending on the threshold.

关键词： Image edge detection data visualization Signal processing algorithms Signal processing Real-time systems Maintenance Thermal analysis visual databases Servers Monitoring

来源：评论

学校读者我要写书评

暂无评论

VPCI: Self-Supervised visual Prompt-Guided Cross-Domain Interactive Image Fusion Framework

VPCI: Self-Supervised Visual Prompt-Guided Cross-Domain Inte...

引用

international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yong Liu Chengyu Wu Jiayuan Cui Bin Jiang Shenzhen Research Institute of Shandong University Shenzhen China School of Mechanical Electrical & Information Engineering Shandong University Weihai China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Image fusion combines information from multi-modality images to produce high-quality fused images with enhanced clarity, contrast, and informativeness. However, limited ground truth fusion data lead to difficulties in effectively training these fusion models. Moreover, current studies lack of fine-grained, domain style-specific guidance during image fusion processing. To address these issues, we propose a self-supervised visual Prompt-guided Cross-Domain Interactive image fusion framework (VPCI), which introduces a visual Prompt Generation (VPG) strategy that embeds visual features from different modalities as prompts, guiding the model to learn complementary information. Furthermore, to better integrate modality-specific styles, we introduce a Cross-domain Prompt-guided Interaction (CPI) module to generate information-rich fusion images by fully interacting with visual prompts. Experimental results show that our framework outperforms existing state-of-the-art methods. The code is available at https://***/liwead/VPCI.

关键词： Training visualization Codes Signal processing data models Acoustics High frequency Speech processing Image fusion

来源：评论

学校读者我要写书评

暂无评论

Knowledge-Enhanced Poetry-Image Synthesis with Large Language Model

Knowledge-Enhanced Poetry-Image Synthesis with Large Languag...

引用

international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Simin Yang Yuqing Li Bin Wu School of Computer Science Beijing University of Posts and Telecommunications

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Classical Chinese poetry is a valuable cultural heritage. Transforming classical poetry into visual images enriches its expressive form and makes it more accessible to modern audiences. While generative models have succeeded in text-to-image synthesis, existing methods struggle with classical poetry due to data scarcity and semantic differences. These methods often fail to capture the imagery entities with ancient-modern semantic differences in classical poetry, resulting in deviations from the poem’s original intent. In this paper, we propose Poem-Diffusion, a novel knowledge-enhanced method that combines a latent diffusion model with a multimodal knowledge graph and transfers the knowledge from large language models to smaller models through knowledge distillation. As a result, the imagery embedded in classical poetry can be accurately converted into visual forms, even in resource-constrained environments.

关键词： visualization Large language models Semantics Text to image Knowledge graphs Signal processing Diffusion models data models Cultural differences Speech processing

来源：评论

学校读者我要写书评

暂无评论

LLaVA-SG: Leveraging Scene Graphs as visual Semantic Expression in Vision-Language Models

LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Express...

引用

international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Jingyi Wang Jianzhong Ju Jian Luan Zhidong Deng Department of Computer Science and Technology BNRist THUAI Tsinghua University Beijing China Xiaomi AI Lab Beijing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Recent advances in large vision-language models (LVLMs) typically employ vision encoders based on the Vision Transformer (ViT) architecture. The division of the images into patches by ViT results in a fragmented perception, thereby hindering the visual understanding capabilities of LVLMs. In this paper, we propose an innovative enhancement to address this limitation by introducing a Scene Graph Expression (SGE) module in LVLMs. This module extracts and structurally expresses the complex semantic information within images, thereby improving the foundational perception and understanding abilities of LVLMs. Extensive experiments demonstrate that integrating our SGE module significantly enhances the LVLM’s performance in vision-language tasks, indicating its effectiveness in preserving intricate semantic details and facilitating better visual understanding.

关键词： visualization Computer vision Semantics Signal processing Transformers Acoustics data mining Speech processing

来源：评论

学校读者我要写书评

暂无评论

Credit Card Fraud Detection Using GASF

Credit Card Fraud Detection Using GASF

引用

2025 international conference on Emerging Technologies for Intelligent Systems, ETIS 2025

作者： Aiswarya, S.M. Sindhu, S. Nss College of Engineering Department of Computer Science Kerala Palakkad India

ISBN: (数字)9798331507541

ISBN: (纸本)9798331507541

Credit card fraud detection is an emerging challenging problem due to the changing techniques used by fraudsters and the large number of transactions. By evaluating the complexity and scale of fraud detection, traditional methods of fraud detection often involve manual processing, which can lead to delays in detecting and identifying new attack strategies. The GASF technique is a visualization approach that not only reduces the time required for data processing, but also provides a more visual and effective way to detect fraud. GASF has shown how transaction history pattern can be visualized effectively based on encoding the temporal relationship between transactions. The GASF approach, which focuses on understanding temporal dynamics, can significantly enhance the security of financial systems. The model performs well and shows 96 percentage of accuracy. © 2025 IEEE.

关键词： data reduction

来源：评论

学校读者我要写书评

暂无评论

Nutrient Prediction and Charting Using AWS Athena and QuickSight

Nutrient Prediction and Charting Using AWS Athena and QuickS...

引用

international conference on Inventive Computation Technologies (ICICT)

作者： J. Senthilkumar Logamithra J Joan Trishala K Elangovan T Sindhu Abhijit Selvanayaki Kolandapalayam Shanmugam Dept of Computer Science Kalaignarkarunanidhi Institute of Technology Tamil Nadu India Functional & Integrative Nutritionist Bangalore Founder - OHAN (Overall Health And Nutrition) Department of Mathematics and Computer Science Ashland University USA

ISBN: (数字)9798331512248

ISBN: (纸本)9798331512255

This project develops a nutrient charting system, utilizing AWS Athena and QuickSight to visualize nutritional data for various demographic groups, including infants, children, males, females, and pregnant women. The system filters and sorts data stored in S3 based on age and life stages, providing insights into nutrient requirements and overall health needs. data visualization through charts enables users to compare and understand dietary needs across groups. Built on trusted sources like Dietary Reference Intake, the system allows users to explore nutrient tracking through a customizable dashboard. Key features include viewing nutrient values, comparing needs, and potential future interactions. This project enhances nutrient tracking, making it more visual and adaptable for future features like personalized health insights.

关键词： Pregnancy Pediatrics visualization Filters Calcium data visualization Nutrients Real-time systems Reliability Iodine

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共62页 << < 32 33 34 35 36 37 38 39 40 41 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：