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

9,347 篇 会议
8,161 篇 期刊文献
103 册 图书

馆藏范围

17,611 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,850 篇 工学
- 8,146 篇 计算机科学与技术...
- 6,826 篇 软件工程
- 2,641 篇 信息与通信工程
- 1,791 篇 生物工程
- 1,446 篇 控制科学与工程
- 1,265 篇 电气工程
- 1,189 篇 生物医学工程（可授...
- 1,013 篇 光学工程
- 889 篇 电子科学与技术（可...
- 590 篇 机械工程
- 532 篇 化学工程与技术
- 450 篇 网络空间安全
- 434 篇 交通运输工程
- 424 篇 动力工程及工程热...
- 410 篇 仪器科学与技术
- 410 篇 安全科学与工程
6,453 篇 理学
- 3,250 篇 数学
- 2,037 篇 生物学
- 1,718 篇 物理学
- 1,255 篇 统计学（可授理学、...
- 656 篇 化学
- 587 篇 系统科学
3,120 篇 管理学
- 1,766 篇 管理科学与工程(可...
- 1,493 篇 图书情报与档案管...
- 891 篇 工商管理
1,117 篇 医学
- 939 篇 临床医学
- 847 篇 基础医学(可授医学...
- 520 篇 药学(可授医学、理...
- 481 篇 公共卫生与预防医...
560 篇 法学
- 480 篇 社会学
337 篇 经济学
275 篇 农学
174 篇 教育学
57 篇 文学
31 篇 军事学
22 篇 艺术学
2 篇 哲学
2 篇 历史学

主题

686 篇 deep learning
646 篇 accuracy
446 篇 feature extracti...
433 篇 machine learning
412 篇 computational mo...
394 篇 training
350 篇 real-time system...
339 篇 predictive model...
298 篇 semantics
266 篇 internet of thin...
243 篇 optimization
230 篇 support vector m...
221 篇 convolutional ne...
199 篇 reinforcement le...
197 篇 data models
192 篇 neural networks
188 篇 data mining
164 篇 image segmentati...
152 篇 reliability
148 篇 visualization

机构

426 篇 department of ph...
397 篇 iccub universita...
379 篇 horia hulubei na...
368 篇 h.h. wills physi...
309 篇 university of ch...
292 篇 van swinderen in...
291 篇 nikhef national ...
290 篇 school of physic...
290 篇 imperial college...
289 篇 center for high ...
285 篇 department of ph...
285 篇 physik-institut ...
285 篇 oliver lodge lab...
285 篇 physikalisches i...
284 篇 cavendish labora...
283 篇 stfc rutherford ...
283 篇 school of physic...
283 篇 school of physic...
282 篇 institute of par...
279 篇 departamento de ...

作者

250 篇 barter w.
241 篇 beiter a.
238 篇 bellee v.
223 篇 casse g.
215 篇 bowcock t.j.v.
215 篇 blake t.
205 篇 borsato m.
204 篇 brundu d.
203 篇 betancourt c.
160 篇 bediaga i.
158 篇 baker s.
157 篇 niyato dusit
150 篇 amato s.
149 篇 boettcher t.
146 篇 baryshnikov f.
144 篇 albrecht j.
143 篇 a. jawahery
143 篇 m. gandelman
143 篇 t. gershon
143 篇 r. mountain

语言

14,065 篇 英文
3,462 篇 其他
128 篇 中文
5 篇 斯洛文尼亚文
4 篇 德文
4 篇 法文
1 篇 朝鲜文
1 篇 俄文
1 篇 土耳其文

检索条件"机构=Computer Science and Engineering With Data Science"

共 17611 条记录，以下是1041-1050 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：

Secret Sharing Based Key Agreement Protocol for Body Area Networks 18th

Secret Sharing Based Key Agreement Protocol for Body Area N...

引用

18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024

作者： Sheng, Weihong Cai, Bin Hu, Chunqiang Li, Ruinian School of Big Data and Software Engineering Chongqing University Chongqing China Computer Science Department Bowling Green State University Bowling Green United States

ISBN: (纸本)9783031714634

In order to provide more comprehensive medical services and personalized health monitoring according to individual needs, Body Area Networks (BANs) have been extensively studied by many researchers. As BANs involve the transmission of personal private data, the security of the communication is of utmost importance. Unfortunately, existing encryption techniques cannot be directly applied with the limited power or computation ability of the sensors in BANs. An alternative direction is to use physiological signals for key agreement. However, many of the current physiological signal-based key agreement schemes either have high overheads or are vulnerable to certain security issues. In this paper, we proposed a novel secret sharing and Bloom filter based key agreement scheme that balances overhead and security for BANs. Also, we use an approximate hash table to free ourselves from the problem of dependence on the ordering of features, which has been neglected by previous researchers. We validate the security of our scheme with based on real datasets and compare overheads with other solutions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

Potato Leaf Disease Classification Using Deep Learning Approach 10

Potato Leaf Disease Classification Using Deep Learning Appro...

引用

10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024

作者： Sowmiya, R. Revathi, P. Sasikala, A. Jayasundar, S. Prathep Kumar, R. Deb, Sauvik Sns College of Engineering Department of Artificial Intelligence and Data Science Tamilnadu Coimbatore India Psgr Krishnammal College for Women Department of Commerce Tamilnadu Coimbatore India Idhaya Engineering college for Women Department of Computer Science and Engineering Tamilnadu Chinnasalem India

ISBN: (纸本)9798350384369

As the fourth most popular staple food in the world, potatoes are among the foods that are extensively consumed. Additionally, the global corona virus pandemic is the leading cause of the sharp rise in potato demand. Moreover, the decrease in the quantity and quality of harvest can be attributed to the prevalence of potato illness. It is crucial to promptly and accurately identify these diseases to prevent further deterioration of plant health. This is where our research comes in. By harnessing the potential of deep learning, we propose a powerful solution that utilizes the VGG16 and VGG19 convolutional neural network models to classify 4 types of potato leaf diseases based on leaf conditions. Not only does this approach provide an accurate classification system, but it also enables early detection of diseases, ensuring the well-being of potato plants and a successful harvest. The average accuracy of 97% in this experiment suggests that the deep neural network technique is feasible. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Single Shot Detector Based MobileNet for Automatic Detection and Recognition of License Plates

Single Shot Detector Based MobileNet for Automatic Detection...

引用

2024 International Conference on Advances in Modern Age Technologies for Health and engineering science, AMATHE 2024

作者： Kiruthuka, D.C. Blessy, M. Prasanna Premalatha, M. Pooja, S. Artificial Intelligence & Data Science Dr.Mahalingam College Of Engg. & Tech Pollachi India Dr.Mahalingam College Of Engg.&Tech Pollachi India Artificial Intelligence & Data Science Kathir College Of Engineering Coimbatore India Computer Science & Engineering Sri Raganathar Institute Of Engg.& Tech Pollachi India

ISBN: (纸本)9798350371567

An Automatic motor vehicle Registration Number Recognition and Monitoring Solution is crucial for the shift towards technological advances in numerous everyday life features such as the management of parking spaces, tollbooth facilities, and roadway control situations. The proposed research concentrates on the databases for automobile registration numbers, regions, and forward images. The suggested approach concentrates on collecting deformed registration number plates caused by angled perspectives. The Single Shot Detector (SSD) is used to recognize as well as distinguish distorted registration plate numbers in frame by frame. Following license plate recognition, distortion on the registration plate is reduced using computerized processing methods. Additionally, it crops the text after retrieving them from the registration plate utilizing a sort outline technique. With the use of a lightweight in nature neural network such as MobileNets, the characters are subsequently turned into electronic characters through Optical Character Recognition (OCR). The suggested model also uses an evaluation measure, like stopping training when the value of the loss does not decrease after five epochs. As a result, it achieves 99.54% overall precision throughout the validation dataset and a precision of 98.26% after 23 training epochs. In order to prevent unauthorized entrance into susceptible sites, the suggested solution uses automated automotive vehicle identification validation through vehicle numbers. © 2024 IEEE.

关键词： Optical character recognition

来源：评论

学校读者我要写书评

暂无评论

Lightweight Weight Update for Convolutional Neural Networks 1

引用

12th International Congress on Big data, Bigdata 2023

作者： Wang, Feipeng Ben, Kerong Zhang, Xian Yang, Meini College of Electronic Engineering Naval University of Engineering Wuhan China School of Computer and Big Data Science Jiujiang University Jiujiang China

ISBN: (数字)9783031447259

ISBN: (纸本)9783031447242

Convolutional neural networks are usually composed of convolutional layers and pooling layers. Pooling operations effectively control the weight update of convolutional neural networks. The existing pooling operations result in a large number of weight parameter updates of convolutional neural networks, causing large memory usage. In this paper, a pooling operation called ApproxM is proposed to address this problem. The proposed pooling operation is a simple and similar to median pooling. It takes the mean of multiple values near the median as the pooling result, and CNNs only update the weights of these values during the back propagation. Finally, extensive experiments on benchmark datasets demonstrate that the proposed pooling operation achieves top-1 results of 92.65% and 68.24% and top-5 results of 99.84% and 91.31% model test accuracy on Cifar-10 and Cifar-100 based on ResNet-20, respectively, and the corresponding number of weight updates in an 8 × 8 pool is 4, which is better than other pooling techniques in the experiments. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Image recognition

来源：评论

学校读者我要写书评

暂无评论

Dynamic Resource Allocation for IoT-Fog Architectures Leveraging Differential Services and Adaptive QoS Models 5

Dynamic Resource Allocation for IoT-Fog Architectures Levera...

引用

5th International Conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2024

作者： Mahavaishnavi, V. Padmavathi, V. Saminathan, R. Panimalar Engineering College Department of Artificial Intelligence and Data Science Chennai600123 India A.V.C. Engineering College Department of Information Technology Mayiladuthurai609305 India Annamalai University Department of Computer Science and Engineering Annamalainagar608002 India

ISBN: (纸本)9798331518097

The constant changes in IoT-Fog architectures, allocating resources plays a vital role in overall resource management, which includes several different requests for applications. This paper proposes a dynamic resource allocation framework based on adaptive QoS and differential service models for IoT-Fog networks. Consequently, the proposed model sorts IoT applications according to the necessary QoS for their implementation, thus improving resource use and satisfying end-users. In addition, the framework complements machine learning algorithms to forecast the resources' needs and dynamically allocate the resources in response to the changing requirements, thereby increasing responsivity and decreasing resource rivalry. In this paper, to conduct several simulations and real-world evaluations of this adaptive QoS-based approach, showing that it improves service delivery, especially for latency-sensitive and high-priority applications. Thus, this research presents a method for large-scale optimization of resource allocation in the IoT-fog environment and supports reliable and efficient service deployment in distributed and often limited-resource settings. © 2024 IEEE.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

CSLP: Collaborative Solution to Long-Tail Problem and Popularity Bias in Sequential Recommendation

CSLP: Collaborative Solution to Long-Tail Problem and Popula...

引用

2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Huang, Yan Yang, Zhenyu Hu, Wenyue Xu, Baojie Zhang, Zhibo Jinan250353 China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan250353 China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan250353 China

ISBN: (纸本)9781665410205

Sequential Recommender Systems (SRS), leveraging the temporal information from users' behaviors, have noticeably improved user experience against traditional systems. However, these behaviors often follow long-tail distribution, making the systems biased towards popular items (i.e., popularity bias). Moreover, popularity bias would amplify the neglect of long-tail recommendations, thereby sharpening the long-tail problem. Previous researches usually address these challenges independently, focusing on reducing the over-recommendation of popular items or enhancing the representation quality of tail items. Indeed, it is possible to incorporate their merits to achieve the best of both worlds. Thus, we propose a novel and unified framework, named Collaborative Solution to Long tailed problem and Popularity bias (CSLP), to tackle both the long-tail problem and popularity bias simultaneously. To achieve this, we first introduce a representation enhancement module featuring dual generators to enhance user and item representations, particularly for those in the tail. On the other hand, a debiasing module incorporating an Inverse Propensity Score (IPS) with a clipping strategy is introduced to further alleviate the popularity bias. Specifically, this clipping strategy demonstrates a clear decrease in the original IPS method's variance, effectively improving the recommendation for stability and accuracy. Experiments on three widely-used datasets show CSLP's effectiveness in solving both issues. CSLP surpasses all baselines (traditional, popularity bias, and long-tail problem) in overall performance, significantly enhancing recommendation accuracy for both tail users and items, and achieving a more balanced ratio of recommendations between popular and tail items. Code is available at https://***/Echohuangyan/CSLP. © 2024 IEEE.

关键词： Inverse problems

来源：评论

学校读者我要写书评

暂无评论

GeoAI in Resource-Constrained Environments

GeoAI in Resource-Constrained Environments

引用

2024 IEEE International Conferences of AI, science, engineering, and Technology, AIxSET 2024

作者： Sughiarta, Gede Kurnianingsih, Atiek Gopaladinne, Srikar Reddy Shrivastava, Sujay Gorla, Hemanth Kumar Reddy Bohlen, Marc Wisnu foundation Denpasar Indonesia University at Buffalo Department of Computer Science and Engineering Buffalo United States Institute for Artificial Intelligence and Data Science University at Buffalo Department of Art Buffalo United States

ISBN: (纸本)9798350390995

This paper describes spatially aware Artificial Intelligence, GeoAI, tailored for small organizations such as NGOs in resource constrained contexts where access to large datasets, expensive compute infrastructure and AI expertise may be restricted. We furthermore consider future scenarios in which resource-intensive, large geospatial models may homogenize the representation of complex landscapes, and suggest strategies to prepare for this condition. © 2024 IEEE.

关键词： artificial intelligence and non-government organizations foundation models GeoAI local knowledge resource constraints

来源：评论

学校读者我要写书评

暂无评论

Elevating Ocular Diagnosis: Harnessing the Power of EfficientNet for Eye Disease Classification 3

Elevating Ocular Diagnosis: Harnessing the Power of Efficien...

引用

3rd International Conference on Artificial Intelligence For Internet of Things, AIIoT 2024

作者： Mohith, Vankadari Raja, Kalpana Oviya, I.R. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Chennai India Yale University Section for Biomedical Informatics and Data Science School of Medicine New Haven United States

ISBN: (纸本)9798350372120

In response to the evolving landscape of healthcare technology this study addresses the need for automated diagnostic tools in the field of ophthalmology. By utilizing deep learning methods specifically leveraging the EfficientNetV2S framework we achieve an overall accuracy rate of 94.6% in classifying images depicting common eye conditions like cataract, diabetic retinopathy, glaucoma, and normal cases. Our model exhibits capabilities across a diverse spectrum of medical conditions due to meticulous preprocessing and fine-tuning procedures. The results highlight the potential for automated technology integration in healthcare settings, which might improve patient care and treatment plans. This paper highlights the use of advanced neural network designs in the diagnosis of ocular illnesses, offering insights at the nexus of learning and medical image processing. © 2024 IEEE.

关键词： Ophthalmology

来源：评论

学校读者我要写书评

暂无评论

VeRB: Revolutionizing Vehicle Registration with Blockchain for Enhanced Security and Efficiency in RTO Processes 3

VeRB: Revolutionizing Vehicle Registration with Blockchain f...

引用

3rd IEEE International Conference on Blockchain and Distributed Systems Security, ICBDS 2024

作者： Ramalingam, Gautham Praveen Pandian, Deepika Rajan, Deepak Syed Ammal Engineering College Department of Computer Science and Business Systems Tamilnadu Ramanathapuram India Syed Ammal Engineering College Department of Artificial Intelligence and Data Science Tamilnadu Ramanathapuram India Syed Ammal Engineering College Tamilnadu Ramanathapuram India

ISBN: (纸本)9798350354348

The Vehicle-RTO-BlockChain (VeRB) system presents a pioneering solution to modernize the vehicle registration and re-registration process within Regional Transport Offices (RTOs) in India. Our work focuses on implementing blockchain technology to address challenges related to data security, administrative efficiency, and transparency in managing vehicle registration records. The VeRB system encompasses a user-friendly registration portal integrated with robust data verification modules and a permissioned blockchain infrastructure tailored to our specific needs. Through dynamic updating mechanisms and secure historical data storage, our system ensures the accuracy, integrity, and accessibility of registration records while mitigating risks associated with fraud and duplication. This abstract provides an overview of our research, highlighting the key components, benefits, and implications of the VeRB system in revolutionizing automotive registration practices and fostering safer, more streamlined transportation systems tailored to our organizational goals. © 2024 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Multi-topography dataset for wind turbine detection from remote sensing image 4

Multi-topography dataset for wind turbine detection from rem...

引用

4th International Conference on Geology, Mapping, and Remote Sensing, ICGMRS 2023

作者： Mi, Hao Zhao, Jinghao Fang, Sheng Tian, Yajun College of Computer Science and Engineering Shandong University of Science and Technology Qingdao Shandong China Extended Energy Big Data and Strategy Research Center Qibebt Chinese Academy of Sciences Qingdao Shandong China

ISBN: (纸本)9781510672741

Owing to the global energy conservation and emission reduction, the wind power industry is developing rapidly in China because of abundant wind energy resources. Wind power has become the third largest power source and remain growing rapidly in China. Efficient and accurate measurement of the location of wind turbine is important for assessing local wind power development. Remote sensing and deep learning technologies offer technical possibilities for wind turbine identification. However, until now there is few publicly available land remote sensing wind power turbine object detection dataset. Aiming at this question, this paper designs a land remote sensing wind turbine dataset, which includes 4459 individual wind turbines in various environmental backgrounds, including sandy land, woodland, grassland, snowy land, and wasteland. In addition, the dataset is composed of YOLO and VOC markup formats to meet the experimental needs of researchers. This paper also evaluates the dataset under the various mainstream object detection frameworks and reach 92% in mAP. The dataset can be obtained from Zenodo website https://***/10.5281/zenodo.7808269. © 2024 COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Remote sensing

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 << < 101 102 103 104 105 106 107 108 109 110 > >>

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：