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

4,527 篇 会议
571 篇 期刊文献
10 篇 学位论文
5 册 图书
1 篇 科技报告

馆藏范围

5,114 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,626 篇 工学
- 2,187 篇 计算机科学与技术...
- 1,429 篇 软件工程
- 573 篇 电气工程
- 352 篇 控制科学与工程
- 329 篇 信息与通信工程
- 257 篇 机械工程
- 247 篇 石油与天然气工程
- 214 篇 化学工程与技术
- 204 篇 生物医学工程（可授...
- 192 篇 生物工程
- 186 篇 仪器科学与技术
- 170 篇 土木工程
- 161 篇 光学工程
- 152 篇 建筑学
- 149 篇 动力工程及工程热...
- 131 篇 材料科学与工程（可...
- 121 篇 电子科学与技术（可...
- 121 篇 航空宇航科学与技...
1,574 篇 理学
- 599 篇 物理学
- 415 篇 数学
- 312 篇 地球物理学
- 269 篇 地质学
- 217 篇 生物学
- 200 篇 统计学（可授理学、...
- 188 篇 化学
- 120 篇 系统科学
650 篇 管理学
- 416 篇 管理科学与工程(可...
- 262 篇 图书情报与档案管...
- 171 篇 工商管理
399 篇 医学
- 307 篇 临床医学
90 篇 法学
85 篇 农学
66 篇 教育学
58 篇 经济学
30 篇 文学
12 篇 艺术学
4 篇 军事学
1 篇 历史学

主题

659 篇 visualization
378 篇 data visualizati...
241 篇 visual analytics
170 篇 data mining
148 篇 data analysis
135 篇 feature extracti...
100 篇 data models
91 篇 image color anal...
90 篇 task analysis
89 篇 deep learning
88 篇 training
80 篇 accuracy
79 篇 computational mo...
72 篇 analytical model...
70 篇 big data
63 篇 machine learning
61 篇 cameras
57 篇 predictive model...
57 篇 semantics
55 篇 information visu...

机构

17 篇 center for space...
17 篇 nagoya universit...
17 篇 department of el...
16 篇 infn sezione di ...
16 篇 department of ph...
16 篇 quantum ict adva...
16 篇 department of ph...
16 篇 department of ph...
15 篇 vrvis res ctr au...
15 篇 institute of spa...
15 篇 faculty of scien...
15 篇 infn sezione di ...
15 篇 institute of par...
15 篇 national institu...
15 篇 via madonna del ...
15 篇 department of as...
15 篇 faculty of engin...
14 篇 univ konstanz co...
14 篇 waseda research ...
14 篇 jem utilization ...

作者

22 篇 asano k.
18 篇 schreck tobias
18 篇 cherry m.l.
18 篇 krizmanic j.f.
17 篇 tamura t.
17 篇 bruno a.
17 篇 kawakubo y.
17 篇 katayose y.
17 篇 binns w.r.
17 篇 castellini g.
17 篇 israel m.h.
17 篇 uchihori y.
17 篇 ebisawa k.
17 篇 yoshida a.
17 篇 bongi m.
17 篇 bigongiari g.
17 篇 shiomi a.
17 篇 collazuol g.
17 篇 nakahira s.
17 篇 ozawa s.

语言

4,760 篇 英文
161 篇 俄文
145 篇 其他
48 篇 中文
3 篇 乌克兰文
2 篇 德文
1 篇 法文
1 篇 葡萄牙文

检索条件"任意字段=Conference on Visual Data Exploration and Analysis V"

共 5114 条记录，以下是401-410 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：

2nd World conference on Intelligent and 3D Technologies, WCI3DT 2023

2nd World Conference on Intelligent and 3D Technologies, WCI...

引用

2nd World conference on Intelligent and 3D Technologies, WCI3DT 2023

ISBN: (纸本)9789819970100

The proceedings contain 31 papers. The special focus in this conference is on Intelligent and 3D Technologies. The topics include: 3D Animation Design and Production Based on Intelligent Algorithm and virtual Reality;4DFA: Four-Dimensional Full-Anatomy Reconstruction of Individualized Digital Human Models Based on Motion videos;research on Fault Prediction Technology of Air Compressor Based on Wavelet Neural Network;The Development of Intelligent vR Systems Based on Deep Learning;research and Implementation of Multi Fusion data Model Construction Technology for Distribution Network Digital Twins;research and Implementation of Rules Extraction Technology for Digital Twin Objects in Distribution Network Based on Semantic Understanding;analysis of Urban Landscape Plants’ Configuration Based on virtual Reality;3D Animation Simulation Based on Computer virtual Simulation Technology;lightweight Human Pose Estimation Based on Self-Attention Mechanism;new Approach for Soil Moisture Prediction Based on Multiple Influencing Factors;facial Photo-Guided Head Anatomy Modeling Based on Deep Learning and 2D/3D Shape Prior Model Registration;Design of Water Ecological Cleaning Robot Based on Raspberry PI and OpenCv visual Recognition;fragrant Pear Target Identification and Positioning Based on Deep Learning;Online Mini-Game Popularity and Feedback data Prediction Based on Time Series and BP Neural Network Prediction;mileage Pile Detection for vehicle-Borne video;exploration of Future Temperature analysis Based on ARIMA Time Series Model and GA-BP Neural Network Prediction Model;research on Feature Extraction Based on Time Series Images;research on Human Eyesight Tracking Algorithm Based on Monocular vision;Automatic Calibration Method for High Resolution LiDAR and Fisheye Camera.

关键词：

来源：评论

学校读者我要写书评

暂无评论

SaSLaW: Dialogue Speech Corpus with Audio-visual Egocentric Information Toward Environment-adaptive Dialogue Speech Synthesis 25

SaSLaW: Dialogue Speech Corpus with Audio-visual Egocentric ...

引用

25th Interspeech conference

作者： Take, Osamu Takamichi, Shinnosuke Sekii, Kentaro Bando, Yoshiaki Saruwatari, Hiroshi Univ Tokyo Tokyo Japan Keio Univ Minato Japan Natl Inst Adv Ind Sci & Technol Tokyo Japan

This paper presents SaSLaW, a spontaneous dialogue speech corpus containing synchronous recordings of what speakers speak, listen to, and watch. Humans consider the diverse environmental factors and then control the features of their utterances in face-to-face voice communications. Spoken dialogue systems capable of this adaptation to these audio environments enable natural and seamless communications. SaSLaW was developed to model human-speech adjustment for audio environments via first-person audio-visual perceptions in spontaneous dialogues. We propose the construction methodology of SaSLaW and display the analysis result of the corpus. We additionally conducted an experiment to develop text-to-speech models using SaSLaW and evaluate their performance of adaptations to audio environments. The results indicate that models incorporating hearing-audio data output more plausible speech tailored to diverse audio environments than the vanilla text-to-speech model.

关键词： speech corpus spoken dialogue speech chain Lombard effect entrainment

来源：评论

学校读者我要写书评

暂无评论

COLING 2025 - 31st International conference on Computational Linguistics, Proceedings of the Industry Track

COLING 2025 - 31st International Conference on Computational...

引用

31st International conference on Computational Linguistics, COLING 2025

ISBN: (纸本)9798891761971

The proceedings contain 848 papers. The topics discussed include: how well can a long sequence model model long sequences? comparing architectural inductive biases on long-context abilities;sequential fusion of text-close and text-far representations for multimodal sentiment analysis;PoemBERT: a dynamic masking content and ratio based semantic language model for chinese poem generation;STAND-Guard: a small task-adaptive content moderation model;query-LIFE: query-aware language image fusion embedding for e-commerce relevance;improving tool retrieval by leveraging large language models for query generation;RED-CT: a systems design methodology for using LLM-labeled data to train and deploy edge linguistic classifiers;beyond visual understanding introducing PARROT-360v for vision language model benchmarking;and AI-Press: a multi-agent news generating and feedback simulation system powered by large language models.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Enhanced Monitoring and Security Measures with video analysis

Enhanced Monitoring and Security Measures with Video Analysi...

引用

2025 International conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Jyothi, v. Esther Rakesh, G. Aruna, vipparla Gorintla, Shobana Ayyappa, Yalanati Naidu, U. Ganesh Velagapudi Ramakrishna Siddhartha Engineering College Deemed to be University Department of Computer Applications A.P. Vijayawada India Department of Computer Science and Engineering Pothavarapadu A.P India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamilnadu Avadi India B V Raju Institute of Technology Telangana Narsapur India

ISBN: (纸本)9798331509828

In modern surveillance, activities have increasingly become dependent on the continuous observation offered by CCTv systems. Still, with massive amounts of video data generated in a minute, sifting through this information manually to pick up any anomalies would be extremely burdensome and nearly impossible without significant human labor and vigilant watchfulness. CNN and CLIP models changed everything with regards to the working of surveillance systems. It makes use of CNN's capability for video frame processing and analysis to detect and classify these activities in the frames as either normal or suspicious. At the same time, it improves this by adding the CLIP model's capability of understanding textual descriptions and visual content together for better nuance detection in suspicious activities. This methodology transforms video surveillance by breaking video streams into frames and analyzing the behavior and interactions of persons in those frames. The synergy of CNN and CLIP models not only ensures real-time, efficient, and accurate surveillance but also minimizes dependency on extensive manual labor for monitoring. This paper aims to provide a contribution toward developing better security infrastructures in public spaces, transportation hubs, and private facilities. The introduction of this anomaly-detection mechanism can hugely improve the capability of implemented surveillance systems with a proactive response based on real-time detection and response capabilities against suspicious activities. © 2025 IEEE.

关键词： video analysis

来源：评论

学校读者我要写书评

暂无评论

COLING 2025 - 31st International conference on Computational Linguistics, Proceedings of the System Demonstrations

COLING 2025 - 31st International Conference on Computational...

引用

31st International conference on Computational Linguistics, COLING 2025

ISBN: (纸本)9798891761988

关键词：

来源：评论

学校读者我要写书评

暂无评论

Monitoring the potential of the ecosystems by GIS facilities for the sustainable development of the tourist and recreational destination's attractiveness 17

Monitoring the potential of the ecosystems by GIS facilities...

引用

17th International conference Monitoring of Geological Processes and Ecological Condition of the Environment, Monitoring 2023

作者： Udovychenko, v. Taras Shevchenko National University of Kyiv Ukraine

ISBN: (纸本)9789462824874

The potential of the ecosystems is a pillar and a guiding framework of environmental research to pay attention to the health and vitality of the ecosystems in the context of key concepts and paradigms in aiming to achieve a balance between resource usage and responsibility of the variety of economic sectors to future generations, including tourist and recreational. That is why this study was designed to explore the potential of the ecosystems and general current military-disrupted changes as the main sources to increase and sustain tourist and recreational destination attractiveness by GIS facilities within the case study area of the Kyivska region of Ukraine. exploration of an environmental pillar as well as the sociocultural aspects of sustainable development was associated with data collection and spatial analysis, indicator development, environmental impact assessment, carrying capacity analysis, an assessment of the destination's tourist and recreational rates, identification of «hotspot» areas by employing the combination of geospatial technologies. The built cartographic models are used for identifying factors as a source of data for spatial planning implementation, stakeholder engagement, and adaptive management enhancement. © 2023 17th International conference Monitoring of Geological Processes and Ecological Condition of the Environment, Monitoring 2023. All rights reserved.

关键词： Ecosystems

来源：评论

学校读者我要写书评

暂无评论

Next-Generation Crime Detection and Transmitting: Evaluating Pre-Trained CNN Models 2

Next-Generation Crime Detection and Transmitting: Evaluating...

引用

2nd International conference on data Science and Information System, ICDSIS 2024

作者： viswanatha, v. Ramachandra, A.C. Parameshachari, B.D. Thota, Sai Manoj Nalluri, Satya Dev Thota, Aishwarya Nitte Meenakshi Institute Of Technology Department Of Ece Bengaluru India

ISBN: (纸本)9798350381665

violence detection has garnered significant attention as there's a growing demand for automated methods to identify violent actions. This surge in interest stems from the utilization of surveillance cameras in diverse locations, where visual data is analysed to detect instances of violence. The project's objectives are tailored to address key research gaps within the realm of crime detection. Firstly, it aims to refine a pre-trained model through meticulous fine-tuning, culminating in the development of a robust crime detection algorithm. Secondly, the project endeavours to transcend theoretical realms by deploying this model in real-time scenarios, seamlessly integrating it with live camera feeds to enable continuous monitoring and analysis. Lastly, the project will conduct a thorough comparative analysis of various models, discerning their strengths and weaknesses to pinpoint the optimal solution for effective crime detection. Through these objectives, the project aspires to contribute significantly to the advancement of crime detection technologies. The methodology employed includes collecting images for the dataset, cleaning and pre-processing the data, augmenting it for diversity and it increases dataset diversity through transformations. Implementation is done of transfer learning with pre-trained models like ResNet or vGG, and training the model to learn patterns and relationships within the data for accurate predictions or classifications. Model training is essential for the model to learn patterns and relationships within the data, minimizing prediction errors. The results reveal a peak accuracy F1-score of 95% achieved with ResNet. A high F1score of 96% indicates strong performance in accurately identifying positive instances while minimizing false positives and false negatives. © 2024 IEEE.

关键词： Crime

来源：评论

学校读者我要写书评

暂无评论

H.264 Compress-Then-Analyze Transmission in Edge-Assisted visual SLAM 28

H.264 Compress-Then-Analyze Transmission in Edge-Assisted Vi...

引用

28th European Wireless conference, EW 2023

作者： Hofer, Johannes Steinke, Jannek Sossalla, Peter Nguyen, Giang T. Fitzek, Frank H.P. Deutsche Telekom TU Dresden Germany Haptic Communication Systems TU Dresden Germany Audi AG Auto-Union-Str. 1 Ingolstadt85057 Germany Germany

ISBN: (纸本)9783800762262

Edge-assisted visual Simultaneous Localization and Mapping (v-SLAM) systems offload complex analysis modules from computationally constrained mobile devices to cloud servers at the network edge. As visual data must travel through networks to reach the edge cloud, it is crucial to minimize transferred data while maintaining reliable and accurate localization and map generation. State-of-the-art systems perform pre-analysis of SLAM modules on the mobile device, causing high processing delays and limiting functionality. To minimise both throughput demand and latency, we are investigating video compression techniques in Compress-Then-Analyze (CTA) transmission systems. Evaluations employing the widely used H.264 video compression standard demonstrate that CTA achieves lower throughputs than its counterparts, as well as significantly reduced processing delays and transmission latencies. The results open up new possibilities to explore this research direction on edge-assisted v-SLAM further. © vDE vERLAG GMBH - Berlin - Offenbach.

关键词： Image compression

来源：评论

学校读者我要写书评

暂无评论

4th International conference on Machine Learning, Advances in Computing, Renewable Energy and Communication, MARC 2023

4th International Conference on Machine Learning, Advances i...

引用

4th International conference on Machine Learning, Advances in Computing, Renewable Energy and Communication, MARC 2023

ISBN: (纸本)9789819752300

The proceedings contain 33 papers. The special focus in this conference is on Machine Learning, Advances in Computing, Renewable Energy and Communication. The topics include: Enhancing Power Quality in Grid-Tied Solar Photovoltaic Systems;RF-TSvM: Random Forest-Based Transductive Support vector Machine for Classification and Prediction of Cancer Patterns;resource-Efficient Image Retrieval: A Study of Local Patterns versus Deep Learning Models;machine Translation of Chinese–Hindi Simple Sentences Using Moses;Innovative Approaches to Reduce Carbon Footprint and Air Pollution: The Role of AI, ML, Cloud Computing, and IoT;investigating Sensor Technology and Benefits of Intelligent Transport Systems;student Attendance System by Quick Responsive Code;analysis of Brain Tumor Detection Using Machine Learning;a Review on Multiple Face Detection Techniques and Challenges;blockchain-Enabled Secure Identity verification in Agri-Food Supply Chain;Machine Learning Approach for Diagnosis of Schizophrenia Using EEG Signals;Comparative analysis of Web APIS: RESTful and GraphQL;AI-Based vision Screening Tool for Keratoconus;synergizing Artistry and Technology by Unveiling the Integration of Matte Painting Techniques in Crafting Precise and Immersive visual Effects Backgrounds;Heart Disease Prediction: A Comprehensive exploration of Optimal Predictive AI;dynamic Animation Scaling: Design and Development of Adaptive Character Animations for varying Sizes;framework for Assessment of Greywater-Assisted Composting Using IoT-Based Sensors;mood-Based Movie Recommendation System Using Sentiment analysis;blockchain-Enabled Consensus Mechanisms for data Integrity and Security in Edge and Cloud Computing Environments;AI-Based Question Paper analysis and Generator with Authentication;pomegranate Leaf Fruit Disease Prediction Using Machine Learning;price Prediction Using Machine Learning Approaches.

关键词：

来源：评论

学校读者我要写书评

暂无评论

ResNet vs Inception-v3 vs SvM: A Comparative Study of Deep Learning Models for Image Classification of Plant Disease Detection 2

ResNet vs Inception-v3 vs SVM: A Comparative Study of Deep L...

引用

2nd IEEE International conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024

作者： Hanif, Md Abu Khadimul Islam Zim, Md Kaur, Harpreet Lovely Professional University Department of Computer Science and Engineering Punjab Phagwara India

ISBN: (纸本)9798350360523

One of the primary reasons for decreased crop yields is the presence of plant diseases, which also leads to substantial financial losses for farmers and the entire agricultural industry. It is possible to lessen agricultural losses and stop the spread of diseases by detecting and diagnosing plant diseases early. Deep learning models have shown great potential in recent years to detect and diagnose plant diseases using images. This research summarizes and analyses current state-of-the-art plant disease detection systems that use deep learning. Plant diseases considerably influence crop productivity and quality, leading to economic losses for farmers and food shortages for the people. Because of this, there is a demand for deep-learning models to be used in plant disease identification. visual inspection and laboratory testing are time-consuming, expensive, and potentially inaccurate. This is especially true early in disease development. Deep learning approaches may solve these issues by automating photo analysis for fast, accurate diagnosis. ResNet, Inception v3, and other deep learning models can learn data representations through several non-linear transformations. They can recognize complicated picture patterns and diagnose diseases accurately. Using variants, deep learning algorithms can learn data representations. This study compares ResNet with Inception-v3, SvM for image classification using the CIFAR-10 dataset. The results of our trials demonstrate that ResNet surpasses Inception-v3 by a significant margin. ResNet achieved a classification accuracy of 99.81%, Inception-v3 only reached 87%, and SvM with 99.88%. We also compare the two models' performance when subjected to varying hyperparameters and find that ResNet is less affected by tweaking these parameters than Inception-v3. © 2024 IEEE.

关键词： Network architecture

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500页 << < 37 38 39 40 41 42 43 44 45 46 > >>

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：