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

737,061 篇 会议
15,790 篇 期刊文献
4,327 册 图书
27 篇 学位论文
3 篇 科技报告

馆藏范围

757,200 篇 电子文献
17 种 纸本馆藏

日期分布

学科分类号

465,070 篇 工学
- 342,967 篇 计算机科学与技术...
- 248,772 篇 软件工程
- 119,300 篇 信息与通信工程
- 63,252 篇 控制科学与工程
- 58,889 篇 电气工程
- 44,020 篇 生物工程
- 39,774 篇 电子科学与技术（可...
- 35,854 篇 机械工程
- 31,648 篇 生物医学工程（可授...
- 25,054 篇 光学工程
- 24,237 篇 仪器科学与技术
- 21,099 篇 动力工程及工程热...
- 19,476 篇 化学工程与技术
- 16,621 篇 安全科学与工程
- 16,208 篇 交通运输工程
- 13,684 篇 网络空间安全
189,954 篇 理学
- 102,364 篇 数学
- 47,991 篇 生物学
- 45,718 篇 物理学
- 30,823 篇 统计学（可授理学、...
- 20,805 篇 系统科学
- 19,494 篇 化学
118,115 篇 管理学
- 74,360 篇 管理科学与工程(可...
- 49,527 篇 图书情报与档案管...
- 33,761 篇 工商管理
28,738 篇 医学
- 24,376 篇 临床医学
- 21,132 篇 基础医学(可授医学...
20,000 篇 法学
- 15,881 篇 社会学
16,041 篇 教育学
- 15,286 篇 教育学
13,858 篇 经济学
- 13,656 篇 应用经济学
9,268 篇 农学
5,328 篇 文学
2,047 篇 军事学
1,737 篇 艺术学
73 篇 哲学
72 篇 历史学

主题

26,860 篇 computer science
20,540 篇 feature extracti...
19,373 篇 computational mo...
18,209 篇 training
17,330 篇 accuracy
17,081 篇 neural networks
15,668 篇 deep learning
14,148 篇 computer archite...
11,600 篇 wireless sensor ...
10,985 篇 data mining
10,714 篇 convolutional ne...
10,705 篇 machine learning
10,667 篇 predictive model...
10,346 篇 protocols
9,832 篇 computer network...
9,684 篇 data models
8,810 篇 support vector m...
8,595 篇 routing
8,557 篇 educational inst...
8,362 篇 real-time system...

机构

2,406 篇 department of co...
2,077 篇 chitkara univers...
1,419 篇 school of comput...
1,311 篇 university of sc...
1,294 篇 university of ch...
1,278 篇 school of comput...
1,199 篇 university of el...
1,136 篇 college of compu...
799 篇 school of comput...
674 篇 huazhong univers...
649 篇 college of compu...
647 篇 school of comput...
625 篇 school of comput...
571 篇 lovely professio...
568 篇 school of comput...
546 篇 college of compu...
546 篇 maharishi school...
521 篇 school of comput...
504 篇 state key labora...
474 篇 school of comput...

作者

758 篇 wang wei
630 篇 yang yang
585 篇 liu yang
531 篇 wang lei
484 篇 li li
447 篇 zhang lei
413 篇 li yang
352 篇 wei li
320 篇 china
316 篇 li wei
305 篇 wei wang
303 篇 zhang wei
299 篇 wang jing
287 篇 lei wang
286 篇 li bo
261 篇 zhang yan
260 篇 wang jian
258 篇 wei liu
248 篇 kukreja vinay
245 篇 yang liu

语言

737,013 篇 英文
13,405 篇 其他
8,464 篇 中文
40 篇 俄文
39 篇 法文
32 篇 西班牙文
21 篇 土耳其文
14 篇 德文
9 篇 葡萄牙文
6 篇 乌克兰文
2 篇 阿拉伯文
1 篇 日文

检索条件"任意字段=International Conference on Computer Science and Network Technology"

共 757209 条记录，以下是201-210 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：

A Hybrid Deep Learning Approach for Early Detection of Diabetic Retinopathy 3

A Hybrid Deep Learning Approach for Early Detection of Diabe...

引用

3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Mary Vespa, M. Shajeena, J. Shiny, R.M. Gayathri Devi, K. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Srm Institute of Science and Technology Department of Computer Science and Engineering Tiruchirapalli Campus India St Joseph's College of Engineering Department of Computer Science and Engineering Chennai India Rmd Engineering College Department of Artificial Intelligence and Machine Learning Chennai India

ISBN: (数字)9798331509675

ISBN: (纸本)9798331509675

Diabetes is a malnutrition that results from elevated glucose levels. Diabetes eventually results in diabetic retinopathy (DR), a retinal condition that significantly impairs vision. It is an insulin-dependent difficulty that impacts ocular health. The receptive to cells at the back of the individual retina's veins gets injured, which is the cause of it. A favorable prognosis for this condition depends on its early identification. In this paper, the application of Convolutional Neural network (CNN) with Long Short Term Memory (LSTM) on color fundus images is used for diabetic retinopathy is applied for understanding the task. The goal of the proposed DR identification method is to use deep learning to automatically identify the problem. An hybrid model that was trained and tested to distinguish between healthy and DR-affected fundi was able to achieve an accuracy of roughly 99.07% using fundus images from diabetic patients that were available in MESSIDOR. © 2025 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Sleep Disorder Detection Using Deep Learning

Sleep Disorder Detection Using Deep Learning

引用

2025 international conference on computer, Electrical and Communication Engineering, ICCECE 2025

作者： Reddy, K. Rakesh Kumar Abinaya, K. Ram, G.L.V. Satya Sai Sathyabama Institute of Science and Technology Semmancheri Tamil Nadu Chennai600119 India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Semmancheri Tamil Nadu Chennai600119 India

ISBN: (纸本)9798331513894

Since sleep disorders can have a major impact on general well-being, classifying them is crucial to enhancing human health. Experts have historically categorized the stages of sleep, but this is a challenging and error-prone process. By more efficiently assessing, tracking, and diagnosing sleep disturbances, accurate machine learning algorithms (MLAs) can be beneficial. This study uses the publicly accessible Sleep Health and Lifestyle Dataset to evaluate deep learning algorithms and traditional MLAs for the categorization of sleep disorders. Thirteen characteristics pertaining to sleep and everyday activities are included in the 400row dataset. A genetic algorithm was employed to adjust the parameters of the machine learning models in order to maximize their performance. The Artificial Neural network (ANN) method was evaluated in the study. Significant performance differences were found in the results, with the ANN obtaining the best classification accuracy of 92.92%. In addition, it outperformed the other algorithms tested with high precision (92.01%), recall (93.80%), and F1-score (91.93%). © 2025 IEEE.

关键词： Sleep research

来源：评论

学校读者我要写书评

暂无评论

Neural network-Based Sentiment Analysis and Emotional Data Mining of Movie Reviews 24

Neural Network-Based Sentiment Analysis and Emotional Data M...

引用

2nd international conference on Artificial Intelligence, Systems and network Security, AISNS 2024

作者： Wang, Zengxiang Lv, Shiyao Wu, Deyan University of Electronic Science and Technology of China Sichuan Chengdu China Chengdu Vocational University of the Arts Sichuan Chengdu China Sichuan Institute of Computer Sciences Sichuan Chengdu China

ISBN: (纸本)9798400711237

With the increasing emphasis on spiritual and cultural enrichment, the film industry has seen remarkable growth, leading to a heightened demand for high-quality cinematic productions. Movie reviews, as a vital channel for capturing audience perspectives, provide valuable insights into films’ strengths and areas for improvement through detailed ratings and commentary. This thesis focuses on extracting reviews from the Internet Movie Database (IMDb), a prominent English-language film review platform, and organizing them systematically within a database. After comprehensive data cleaning, advanced analytical techniques, including word frequency analysis and neural network-based sentiment classification, will be employed to interpret the reviews. The results, such as word clouds, sentiment distributions, and emotional trends, will be visualized via an interactive front-end interface. This approach aims to offer a nuanced understanding of audience sentiment and language patterns, contributing to the development of intelligent tools for movie evaluation and cultural analysis. © 2024 Copyright held by the owner/author(s).

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Application of real-time processing of computer data based on digital media 24

Application of real-time processing of computer data based o...

引用

5th international conference on computer science and Management technology, ICCSMT 2024

作者： Zhang, Linqin Department of Computer and Arts Anhui Technical College of Industry and Economy Anhui Hefei China

ISBN: (纸本)9798400709999

With the popularization of computer technology in today's society, the science and technology in the field of digital media are constantly developing, which has actually changed people's original way of life and rest, and the study and work patterns in daily life have undergone earth-shaking changes. This paper analyzes the application of digital media technology in the computer data processing environment, and shows that the application of digital media technology can reflect more value with the support of computer environment, provide effective channels for it to show its own role, and bring more convenience to people's daily life. No matter learning knowledge or data processing, many problems existing in the past can be solved, and the real-time data processing speed can be fundamentally improved. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Data centers

来源：评论

学校读者我要写书评

暂无评论

Secure network Topology Design and Management Using Artificial Intelligence Framework

Secure Network Topology Design and Management Using Artifici...

引用

2025 international conference on Pervasive Computational Technologies, ICPCT 2025

作者： Balasubramanian, Vaidheyar Raman Gupta, Akhil Shaheen, Nusrat Jayaraman, Srinivasan Shivaprasad, Nandish Singh, Neelima Sastra Deemed University Thanjavur India Symbiosis Institute of Technology Nagpur Campus Maharashtra Pune India Western Govern University Salt Lake CityUT United States Maharishi International University FairfieldIA United States Missouri University of Science and Technology MO United States Uttaranchal University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798331508685

network topology Designing and management of secure networks is designed to protect the confidentiality, integrity and availability of data in a networked environment. Due to the increase in advanced cyber-attacks, traditional network security approaches are no longer enough. In this regard, an AI framework can be used to protect the network structure. It was an AI framework that used algorithms and machine learning techniques to analyze data traffic and detect vulnerabilities in the network. The framework uses these analyses to adapt network configurations and optimize security protocols in real time, thus making it more resilient against threats. In addition, the AI framework not only allows but enables dynamic network management naturally. Its ability to identify and adapt to stray network behaviors, whether they are from malware or denial-of-service attacks, allows it to mitigate those threats and ensure consistent performance and security. Besides, the framework of AI can also help in designing network topology, keeping in view network traffic patterns, user behavior, and possible attack vectors. This creates a stronger and more efficient network topology that is better designed to withstand security threats. The AI Framework for network Topology Design and Management is a sophisticated approach that combines advanced algorithms, machine learning techniques, and expert knowledge to optimize network performance and ensure cost-effective security. © 2025 IEEE.

关键词： Confidentiality Framework Management network Performance

来源：评论

学校读者我要写书评

暂无评论

GGX-GAN: A Generative Adversarial network for Single-Image Material Appearance Editing with Physical Parameters 8

GGX-GAN: A Generative Adversarial Network for Single-Image M...

引用

8th international conference on computer Graphics and Virtuality, ICCGV 2025

作者： Wang, Shengyao Li, Hongsong School of Computer Science Beijing Institute of Technology Beijing China

ISBN: (纸本)9781510689213

Material appearance editing methods based on generative adversarial network (or GAN) use perceptual parameters to control material appearance but are limited by the rating quality of training data. The data annotators were often confused by ambiguous perceptual parameters, leading to poor labeling or rating results. Instead, we choose physical parameters to achieve more interpretable and measurable material appearance editing. The image dataset rendered by a physically based renderer were used for GAN training and model validation, and the GGX BRDF model was chosen to control the glossiness of rendered objects. Then we embedded the BRDF model into the latent space of GAN and establishes a physical parameter control space of editing, allowing continuous material appearance tuning. Inverse rendering results of the images generated by the proposed GAN were analyzed to illustrate and evaluate its editing performance. It is shown that the proposed GAN can provide accurate, intuitive material appearance editing on both real-world photographs and rendered images. © 2025 SPIE.

关键词： Inverse problems

来源：评论

学校读者我要写书评

暂无评论

Extraction of road using semi-supervised deep learning method 4th

Extraction of road using semi-supervised deep learning metho...

引用

4th international conference on Computational Methods in science and technology, ICCMST 2024

作者： Mishra, Jalaj Khan, Mohd Jawed Negi, Himanshi Alam, Jitendra Alam, Junaid Singh, Pankaj Pratap Department of Computer Science & Engineering Greater Noida Institute of Technology Greater Noida India Department of Computer Science & Engineering Central Institute of Technology Assam Kokrajhar India

ISBN: (纸本)9781032911571

Detection of road networks using high-resolution aerial or remote sensing imagery constitutes a significant focus within modern research efforts. Currently, deep learning models demonstrate efficiency to a certain degree, they are constrained by a notable reliance on annotated datasets, a practice divergent from optimal methodologies due to the scarcity of extensive, high-quality labeled data. The precision of road prediction is additionally influenced by the latent information embedded within pixels exhibiting diminished confidence values. These pixels play a crucial role in discriminating between road and non-road regions within the images, yet their utilization by deep learning models is suboptimal. To handle these two different issues, opted U-Net as our base model with a sole generator paired with twin dis-criminators and presented this combined setup of U-Net on the Generative Adversarial network (GAN). At the base of the U-Net architecture, a bottleneck module is incorporated to augment the functionalities of the proposed model. This proposed model attains 98% accuracy on DeepGlobe Road Dataset. Comparative and quantitative assessment demonstrates the enhanced efficiency of our model compared to similar methodologies. © 2025 the Author(s).

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Interference-Based Reliability and Capacity Analysis for IEEE 802.11 Broadcast Ad-Hoc networks on the Highway 11

Interference-Based Reliability and Capacity Analysis for IEE...

引用

11th international conference on Vehicle technology and Intelligent Transport Systems, VEHITS 2025

作者： Li, Zhijuan Wu, Xintong Li, Xiaokun Ma, Xiaomin Department of Computer and Big Data Heilongjiang University Harbin150080 China Postdoctoral Program of Heilongjiang Hengxun Technology Co. Ltd. Harbin150090 China School of Computer Science and Technology Harbin Institute of Technology Harbin150001 China College of Science and Engineering Oral Roberts University TulsaOK74171 United States

ISBN: (纸本)9789897587450

Interference is a critical factor that degrades wireless network performance. In IEEE 802.11 wireless broadcast networks, hidden terminals and concurrent transmissions are the primary sources of interference due to the carrier sense multiple access (CSMA) mechanism. Therefore, analyzing the signal-to-interference-plus-noise ratio (SINR) distribution is essential for evaluating network performance, whose derivation relates to the transmission probabilities of hidden terminals and concurrent transmissions. In this study, we utilize the existing semi-markov process (SMP) model to calculate these transmission probabilities. Subsequently, we employ the Laplace transform to analyze the SINR distribution in IEEE 802.11 broadcast ad-hoc networks on highways. Based on the derived SINR distribution, we further evaluate the reliability and capacity. This approach can be readily extended to two-dimensional (2D) or three-dimensional (3D) scenarios by employing d-dimensional (1 ≤ d ≤ 3, dD) point process. Experimental results demonstrate that the proposed model achieves high accuracy under small to medium interference ranges. Additionally, the analysis remains highly accurate for receivers within 70 meters, even in scenarios with large interference ranges. Copyright © 2025 by SCITEPRESS - science and technology Publications, Lda.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

ENHANCING ALZHEIMER’S DISEASE DIAGNOSIS: A NOVEL LOW-HRNET APPROACH FOR IMPROVED CLASSIFICATION 24

ENHANCING ALZHEIMER’S DISEASE DIAGNOSIS: A NOVEL LOW-HRNET ...

引用

8th international conference on Electronic Information technology and computer Engineering, EITCE 2024

作者： Wu, Hongfeng Lin, Weiming Liu, Pan School of Opto-Electronic and Communication Engineering Xiamen University of Technology Fujian Xiamen China

ISBN: (纸本)9798400710094

Alzheimer’s disease is a progressive neurodegenerative disease, primarily characterized by the gradual loss of cognitive and memory functions, which places a significant burden on patients and their families. Therefore, early diagnosis and effective treatment are particularly important. The aim of this paper is to explore the improvement in classification accuracy for AD (Alzheimer’s Disease) patients by enhancing the artificial neural network structure and introducing a new attention mechanism without increasing the depth of the CNN network. A novel network structure called Low-HRNet (high-resolution network) is proposed, which combines a HRNet with an inception module for more efficient information extraction. By cross-fertilizing feature information at different resolutions, the computational cost is reduced while preserving high-resolution features. Additionally, the introduction of the Dual Attention mechanism further enhances the feature extraction capability. The results of the experiments demonstrate that the enhanced Low-HRNet reached an accuracy of 94.53% in classifying Alzheimer’s disease (AD) versus NC (normal control), representing a significant improvement compared to the 88.14% accuracy achieved by the conventional CNN network. The experimental results show that the accuracy of automatic classification of Alzheimer’s disease can be effectively improved by optimising the network structure and introducing an advanced attention mechanism. © 2024 Copyright held by the owner/author(s).

关键词： Neurodegenerative diseases

来源：评论

学校读者我要写书评

暂无评论

Quantum-weighted autoencoder for compression computer-generated holograms 2

Quantum-weighted autoencoder for compression computer-genera...

引用

2nd international conference on Optical Communication and Optical Information Processing, OCOIP 2024

作者： Hu, Chengcheng Yang, Guanglin School of Software and Microelectronics Peking University Beijing102600 China Laboratory of Signal and Information Processing School of Electronics Peking University Beijing100871 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

We propose a quantum-weighted autoencoder network for compression computer-generated holograms. And the quantum-weighted autoencoder consists of embedding, entanglement, and measurement layers. Experimental results show that the image quality of computer-generated holograms reconstructed by this quantum network is generally better than that of traditional autoencoders. The training stability of the network is better than that of a traditional autoencoder, and the convergence of the network is faster. © 2025 SPIE.

关键词： Holograms

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 << < 17 18 19 20 21 22 23 24 25 26 > >>

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：