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

114,086 篇 会议
52,233 篇 期刊文献
1,502 册 图书

馆藏范围

167,821 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

98,948 篇 工学
- 65,562 篇 计算机科学与技术...
- 53,010 篇 软件工程
- 25,379 篇 信息与通信工程
- 16,303 篇 控制科学与工程
- 14,604 篇 电气工程
- 13,983 篇 电子科学与技术（可...
- 11,799 篇 生物工程
- 9,375 篇 生物医学工程（可授...
- 8,259 篇 光学工程
- 6,936 篇 机械工程
- 5,959 篇 化学工程与技术
- 5,827 篇 动力工程及工程热...
- 5,585 篇 仪器科学与技术
- 5,298 篇 材料科学与工程（可...
- 4,509 篇 网络空间安全
- 4,151 篇 安全科学与工程
56,593 篇 理学
- 27,060 篇 数学
- 19,431 篇 物理学
- 13,384 篇 生物学
- 8,886 篇 统计学（可授理学、...
- 6,418 篇 化学
- 6,315 篇 系统科学
25,860 篇 管理学
- 16,126 篇 管理科学与工程(可...
- 10,782 篇 图书情报与档案管...
- 7,567 篇 工商管理
9,315 篇 医学
- 7,756 篇 临床医学
- 7,018 篇 基础医学(可授医学...
- 4,365 篇 药学(可授医学、理...
- 4,060 篇 公共卫生与预防医...
4,904 篇 法学
- 3,998 篇 社会学
3,011 篇 经济学
2,415 篇 农学
1,604 篇 教育学
862 篇 文学
360 篇 军事学
225 篇 艺术学
15 篇 哲学
11 篇 历史学

主题

5,205 篇 computer science
5,077 篇 accuracy
4,296 篇 deep learning
4,000 篇 feature extracti...
3,605 篇 machine learning
3,583 篇 computational mo...
3,142 篇 training
2,542 篇 support vector m...
2,445 篇 convolutional ne...
2,407 篇 internet of thin...
2,388 篇 real-time system...
2,351 篇 predictive model...
2,166 篇 optimization
1,998 篇 artificial intel...
1,897 篇 data mining
1,881 篇 wireless sensor ...
1,729 篇 neural networks
1,619 篇 computer archite...
1,612 篇 security
1,575 篇 data models

机构

1,079 篇 cavendish labora...
1,004 篇 department of ph...
939 篇 physikalisches i...
929 篇 oliver lodge lab...
915 篇 department of co...
837 篇 department of el...
730 篇 university of ch...
683 篇 department of el...
682 篇 department of co...
595 篇 infn sezione di ...
576 篇 infn laboratori ...
569 篇 infn sezione di ...
558 篇 chitkara univers...
539 篇 infn sezione di ...
535 篇 school of physic...
531 篇 horia hulubei na...
528 篇 fakultät physik ...
513 篇 school of physic...
513 篇 department of ph...
510 篇 imperial college...

作者

255 篇 barter w.
253 篇 a. gomes
242 篇 c. alexa
240 篇 s. chen
238 篇 j. m. izen
235 篇 j. wang
232 篇 blake t.
229 篇 c. amelung
228 篇 g. bella
228 篇 j. strandberg
228 篇 d. calvet
226 篇 beiter a.
225 篇 bellee v.
223 篇 bowcock t.j.v.
219 篇 borsato m.
219 篇 betancourt c.
218 篇 amato s.
217 篇 brundu d.
216 篇 boettcher t.
211 篇 g. spigo

语言

144,687 篇 英文
21,357 篇 其他
1,928 篇 中文
128 篇 日文
29 篇 斯洛文尼亚文
28 篇 德文
28 篇 法文
20 篇 朝鲜文
6 篇 俄文
5 篇 阿拉伯文
3 篇 荷兰文
2 篇 捷克文
2 篇 意大利文
2 篇 土耳其文
1 篇 西班牙文
1 篇 波兰文

检索条件"机构=Department of Computer Science and Engineering Technology"

共 167821 条记录，以下是4231-4240 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：

Recognition of Plant disease using Deep Learning Approaches

Recognition of Plant disease using Deep Learning Approaches

引用

2024 International Conference on Knowledge engineering and Communication Systems, ICKECS 2024

作者： Seshaiah, M. Shravya, D.K. Tarun, K.H. Vandana, R. Varshitha, R. S J C Institute of Technology Department of Computer Science and Engineering Chickballapur India

ISBN: (数字)9798350359688

ISBN: (纸本)9798350359688

Agriculture is a crucial turning point in the evolution of human civilization. Plant disease outbreaks have caused the biggest decline in agriculture, which has a substantial impact on the economy of the country and lowers the output of high-quality meals. Plant diseases have the power to eliminate species diversity and significantly reduce food output. Due to their invisible, often misconstrued symptoms and lack of readily available experience, plant diseases can be challenging for farmers to identify. This can delay identification and negatively impact crop productivity. The identification accuracy of image classification algorithms has significantly increased as a result of the early detection of various plant diseases using various detection methods. Deep learning methods have recently increased the precision of disease. Convolutional neural network, or CNN, models are used in the study that is being presented to identify disorders in plant leaves. The study leverages a dataset from Plant Village comprising 54,343 images categorized into 39 classes, each representing different plant species. For training, testing, and validation, we employed the previously trained Inception-V4 model. To achieve high accuracy in leaf disease detection, the Enhanced Deep Super Resolution Network (EDSR), bicubic interpolation models, and the Super Resolution Convolutional Neural Network (SRCNN) are used. © 2024 IEEE.

关键词： Plant diseases

来源：评论

学校读者我要写书评

暂无评论

Performative Control for Linear Dynamical Systems 38

Performative Control for Linear Dynamical Systems

引用

38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Cai, Songfu Han, Fei Cao, Xuanyu Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

We introduce the framework of performative control, where the policy chosen by the controller affects the underlying dynamics of the control system. This results in a sequence of policy-dependent system state data with policy-dependent temporal correlations. Following the recent literature on performative prediction [21], we introduce the concept of a performatively stable control (PSC) solution. We first propose a sufficient condition for the performative control problem to admit a unique PSC solution with a problem-specific structure of distributional sensitivity propagation and aggregation. We further analyze the impacts of system stability on the existence of the PSC solution. Specifically, for almost surely strongly stable policy-dependent dynamics, the PSC solution exists if the sum of the distributional sensitivities is small enough. However, for almost surely unstable policy-dependent dynamics, the existence of the PSC solution will necessitate a temporally backward decaying of the distributional sensitivities. We finally provide a repeated stochastic gradient descent scheme that converges to the PSC solution and analyze its non-asymptotic convergence rate. Numerical results validate our theoretical analysis. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Integrity Shield: Defending Genuine Goods

Integrity Shield: Defending Genuine Goods

引用

2024 IEEE International Conference on Emerging Technologies in computer science for Interdisciplinary Applications, ICETCS 2024

作者： Kshitija Nagareddy, G.B. Param Preetham, R. Bavagi, Raghavendra R. Sushmitha, S. Dayananda Sagar Academy of Technology and Management Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350372502

The rise in counterfeit products poses a significant challenge for consumers, businesses, and governments worldwide. Counterfeit goods not only impact the economy but also pose health and safety risks. Traditional methods of combating counterfeiting have proven inadequate, necessitating the exploration of innovative solutions. This report focuses on the utilization of blockchain technology for fake product identification. © 2024 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Power Density Limits of Propulsion Motor for Electric Aircraft: A Study on Insulation Thickness

Power Density Limits of Propulsion Motor for Electric Aircra...

引用

2024 International Conference on Electrical Machines, ICEM 2024

作者： Wang, Jundong Dong, Jianning Niasar, Mohamad Ghaffarian Zhu, Gangwei Bauer, Pavol Delft University of Technology Department of Electrical Engineering Mathematics and Computer Science Delft Netherlands

ISBN: (纸本)9798350370607

This paper studies the power density limits of propulsion motor for electric aircraft considering thermal aspects and breakdown voltage reduction of insulation. The study em-ploys multi-objective optimization (MOO) to explore various mo-tor cooling options and filter configurations. The results show that motors with direct winding heat exchanger (DWHE) can reach higher specific power, while those equipped with water jacket cooling (WJC) offer a moderate design with simpler structure. Furthermore, the impact of sine wave and dv/dt filters on electric motors design is studied. The findings demonstrate that dv/dt filters enable designs with higher overall specific power compared to sine wave filters. Through simulations, this study identify the challenge faced by aviation motor design in significantly increased insulation thickness, necessitating advanced insulation materials with a minimum thermal conductivity of 5 W/(m.K) to facilitate a high specific power design. Based on this assumption, a preliminary design of 9.6 kW/kg with an efficiency of 98% is presented. © 2024 IEEE.

关键词： Thermal insulation

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Neonatal Facial Expression from Images using Deep Learning 15

Comparative Analysis of Neonatal Facial Expression from Imag...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Das, Chirantan Nanda, Dibyashree Chatterjee, Sudip Dutta, Dipankar University Institute of Technology Burdwan University Department of Computer Science and Engineering Burdwan India

ISBN: (纸本)9798350370249

Understanding and interpreting infant emotions is crucial for early childhood development and effective caregiving. In this work, we implemented various deep learning (DL) models to detect emotions in infants from images. By leveraging advancements in computer vision and DL techniques, our goal is to develop a comprehensive system capable of accurately recognizing and classifying a wide range of emotional states in infants. We analyze facial expressions in images of infants, utilizing DL models to extract relevant features and identify emotional patterns. Our approach is evaluated using a comprehensive dataset of infants exhibiting various emotional states. Through rigorous experimentation, we assess different feature extraction methods, machine learning (ML) algorithms, and deep convolutional neural networks (CNNs), measuring performance using accuracy metrics to determine the system's effectiveness in identifying and classifying infant emotions. © 2024 IEEE.

关键词： CNN computer vision Deep Learning (DL) Infant emotions Multi-stream Fusion Neonatal CNN (NCNN) Squeeze and Excitation Block

来源：评论

学校读者我要写书评

暂无评论

YOLO-NAS Based Deep Learning Approach for Breast Lesion Identification 2

YOLO-NAS Based Deep Learning Approach for Breast Lesion Iden...

引用

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

作者： Sonu Thakur, Ankita Kumar, Rajeev Bhadoria, Robin Singh National Institute of Technology Department of Computer Science and Engineering Himachal Pradesh Hamirpur India

ISBN: (纸本)9798350360523

Early and accurate breast cancer detection is crucial for effective intervention and improved patient outcomes. Conventional methods often encounter challenges in achieving the required accuracy. To address this, we advocate for the utilization of the YOLO-NAS architecture, renowned for its proficiency in object detection. Implementation of YOLO-NAS explores the efficacy of breast cancer identification, utilizing a diverse dataset for comprehensive evaluation. The employed model demonstrates exceptional accuracy, boasting a mean Average Precision (mAP) value of 87.7 and an impressive recall of 98%. Despite its computational demands, the model's promising performance suggests its potential as a valuable tool in medical diagnostics. Ongoing efforts will focus on optimizing computational efficiency and ensuring the seamless integration of the model into clinical practices for widespread and effective usage. © 2024 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Detecting ugly and derogatory words in Serbian language using a web browser extension 32

Detecting ugly and derogatory words in Serbian language usin...

引用

32nd Telecommunications Forum, TELFOR 2024

作者： Milakovic, Adrian Jocovic, Vladimir Cincovic, Jelica Micovic, Marko Radenkovic, Uros Draskovic, Drazen University of Belgrade School of Electrical Engineering Department of Computer Science and Information Technology Serbia

ISBN: (纸本)9798350391053

In natural language processing, data acquisition and preprocessing techniques are significant for experiments involving training models on cleaned data. This paper describes the formation of a dataset of ugly and derogatory words in the Serbian language and the development of a web extension to analyze texts in which such words appear and then their censoring. Developing such an add-on is essential in creating a safer and healthier digital environment for young users who are just developing their Internet habits and adults who want to avoid unwanted content. It is crucial to point out that there are few software tools for natural languages with limited resources, such as the Serbian language. This software could analyze the frequency of certain foul words on different sites, which would contribute to a better understanding of the impact of such language on users. © 2024 IEEE.

关键词： Web browsers

来源：评论

学校读者我要写书评

暂无评论

Classifying 5G Encrypted Packet Traces 5

Classifying 5G Encrypted Packet Traces

引用

5th International Conference on Electrical, Communication and computer engineering, ICECCE 2024

作者： Maranon, José Armando Tesén Duvignau, Romaric Chalmers University of Technology Department of Computer Science and Engineering University of Gothenburg Gothenburg Sweden

ISBN: (纸本)9798331529437

In today's digital era, privacy concerns have raised and the further deployment of 5G technology in recent years has amplified some of these concerns. While encryption is undoubtedly the cornerstone for protecting user privacy, packet trace analysis has been shown to be capable of identifying web and mobile applications even when the network traffic is encrypted. We further extend previous studies by presenting an accurate traffic classifier for 5G packet traces that does not need any access to the network. Our novel classification method is based exclusively on traffic patterns and does not require any information from the network layer to function. We perform a preliminary experimental comparison study for the classification task with three machine learning models and eight popular mobile applications. Our best model reaches an accuracy of up to 87% in classifying one minute of captured 5G encrypted traffic. This prompts us to question if necessary measures need to be considered at the link layer so to alleviate to leak such information. © 2024 IEEE.

关键词： 5G encryption mobile applications privacy traffic classification VPN

来源：评论

学校读者我要写书评

暂无评论

Text Summary Generation based on Data Augmentation and Contrastive Learning

Text Summary Generation based on Data Augmentation and Contr...

引用

2024 IEEE International Conference on Big Data, BigData 2024

作者： Wang, Jenq-Haur Zhuang, Jie-An National Taipei University of Technology Department of Computer Science and Information Engineering Taipei Taiwan

ISBN: (纸本)9798350362480

In recent years, there has been a rapid growth in the volume of textual data generated from various sources, including industries, news media, and social media, across various fields worldwide. It contains valuable information and knowledge, but its sheer volume requires effective summarization techniques to make it useful. Text summarization has thus become an important technology for distilling large amounts of information and capturing key insights. With advancements in large language models (LLMs), most existing abstractive summarization models leverage pretrained models such as BART. These models are based on Transformer architectures and undergo unsupervised pretraining, followed by fine-tuning on specific datasets for downstream tasks, particularly text summarization. These models have demonstrated superiority in this field. Real-world data often contains noise, and most pretrained language models suffer from exposure bias and a discrepancy between their training objectives and real evaluation metrics. In this paper, we introduce sentence-level data augmentation to simulate real-world text variations and enhance the model's denoising capability. Furthermore, contrastive learning is employed to learn to distinguish the differences between the original article with candidate summaries and among candidate summaries themselves. Finally, the highest-scoring article is output as the resulting summary. The experimental results on the CNN/DailyMail and XSum datasets indicate that this model shows improvement in generating text summaries compared to pretrained models and existing methods with contrastive learning. When comparing to the multitask learning framework BRIO variant with contrastive loss, our proposed method achieves a better ROUGE-1 of 48.52 and comparable ROUGE-2/L of 24.84 and 39.78. This shows the potential of our proposed method. Further investigation is needed to verify the performance in real-world texts in various domains. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Parallel Deep Convolution Neural Network (P-DCNN) Prediction of Paddy Crop Disease 7th

Parallel Deep Convolution Neural Network (P-DCNN) Prediction...

引用

7th International Conference on Soft Computing: Theories and Applications, SoCTA 2023

作者： Gangadevi, G. Raja Ratna, S. Jospin Jeya, J. Priya, M. Department of Computer Science and Engineering SRM Institute of Science and Technology Chennai Ramapuram India Velammal Engineering College Chennai India

ISBN: (纸本)9789819720309

Agriculture is one of the major sources for gross regional product among the developing nations. The nature and amount of crop cultivated along with its yield in each region varies with soil and climate. Additionally, the crop yield is affected due to the event of disease. Paddy is one of the chief food crops cultivated in numerous parts, and it succumbs to several diseases. The framers often find it hard to predict the nature of disease over the paddy crop. For supporting the farmer, a novel Parallel Deep Convolution Aggregation Neural Network (P-DCNN) classifier is proposed to predict and localize the disease in paddy crop using raw images. The novel parallel classifier which has hybrid tanh and sigmoid function is developed for the proposed work. The input images considered for processing are given into equally divided and sent to two smaller networks works independent to each other simultaneously, and then outcome is merged into a final output layer. Parallelization reduces the computational time for processing the images through the network. The performance of the proposed framework is evaluated on various performance metrics. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Precision agriculture

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 << < 420 421 422 423 424 425 426 427 428 429 > >>

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：