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

68,035 篇 会议
418 篇 期刊文献
205 册 图书

馆藏范围

68,658 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

39,345 篇 工学
- 31,346 篇 计算机科学与技术...
- 26,655 篇 软件工程
- 11,916 篇 信息与通信工程
- 9,712 篇 控制科学与工程
- 7,420 篇 生物工程
- 6,370 篇 电气工程
- 4,603 篇 生物医学工程（可授...
- 3,990 篇 电子科学与技术（可...
- 3,706 篇 机械工程
- 3,631 篇 光学工程
- 3,232 篇 动力工程及工程热...
- 3,159 篇 网络空间安全
- 2,671 篇 安全科学与工程
- 2,657 篇 交通运输工程
- 2,277 篇 化学工程与技术
- 2,077 篇 仪器科学与技术
21,486 篇 理学
- 10,260 篇 数学
- 7,801 篇 生物学
- 5,408 篇 物理学
- 3,621 篇 统计学（可授理学、...
- 2,661 篇 化学
- 2,021 篇 系统科学
12,162 篇 管理学
- 7,022 篇 管理科学与工程(可...
- 5,963 篇 图书情报与档案管...
- 3,672 篇 工商管理
4,417 篇 医学
- 3,716 篇 临床医学
- 3,614 篇 基础医学(可授医学...
- 2,538 篇 药学(可授医学、理...
- 2,022 篇 公共卫生与预防医...
2,804 篇 法学
- 2,250 篇 社会学
1,635 篇 经济学
1,369 篇 农学
1,136 篇 教育学
405 篇 文学
148 篇 军事学
12 篇 艺术学
6 篇 哲学
2 篇 历史学

主题

1,726 篇 deep learning
1,308 篇 machine learning
1,021 篇 internet of thin...
696 篇 support vector m...
686 篇 feature extracti...
675 篇 blockchain
674 篇 computer vision
659 篇 object detection
555 篇 convolutional ne...
522 篇 forecasting
483 篇 training
435 篇 computational mo...
405 篇 artificial intel...
399 篇 covid-19
383 篇 reinforcement le...
337 篇 long short-term ...
317 篇 predictive model...
308 篇 automation
280 篇 big data
279 篇 convolution

机构

506 篇 chitkara univers...
242 篇 school of comput...
201 篇 university of sc...
183 篇 school of automa...
165 篇 computer science...
142 篇 maharishi school...
129 篇 the islamic univ...
115 篇 computer science...
99 篇 karnataka bangal...
92 篇 school of comput...
87 篇 university of el...
86 篇 huazhong univers...
82 篇 department of co...
80 篇 college of compu...
77 篇 school of comput...
77 篇 university of ch...
76 篇 institute of art...
75 篇 school of comput...
75 篇 medical technica...
74 篇 computer technol...

作者

64 篇 shiva mehta
58 篇 vinay kukreja
54 篇 li yang
48 篇 kukreja vinay
45 篇 sharma vikrant
44 篇 sharma neha
42 篇 wang lei
42 篇 deepak gerard
40 篇 calvo d.
40 篇 wang jing
39 篇 li peng
39 篇 zhang lei
39 篇 rakesh kumar
38 篇 ferrara g.
38 篇 ardid m.
38 篇 gagliardini s.
36 篇 zhang tao
35 篇 vishal jain
34 篇 chen a.
34 篇 benoit d.m.

语言

67,100 篇 英文
1,534 篇 其他
386 篇 中文
1 篇 西班牙文

检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

共 68658 条记录，以下是371-380 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：

IOT and developed deep learning based road accident detection system and societal knowledge management 2nd

IOT and developed deep learning based road accident detectio...

引用

2nd international conference on Next-Generation Computing and Information Systems, ICNGCIS 2023

作者： Ananth, K.R. Fayaz Khan, Sarfraz Agarwal, Abhishek Wasim Bhatt, Mohammed Murtaza Alvi, Ahmad Degadwala, Sheshang Nandha Arts and Science College Tamil Nadu Erode India SAT – Algonquin College Ottawa Canada Vermont State University United States Model Institute of Engineering and Technology J&K Jammu India College of Finance Department of Business Administration Saudi Electronic University Riyadh Saudi Arabia Department of Computer Engineering Sigma University Gujarat Vadodara India

ISBN: (纸本)9781032738659

Business organizations and the research community try to precisely detect occurrences and assist in the case of a disaster. Most development systems are hardware-based, making them pricey and unavailable in every vehicle. A vehicle’s sensors can be destroyed in various ways, including minor accidents or fixed interactions. In instances, the sensors are incapable of detecting an accident. Intelligent phone sensors are a great alternative because of their dependability and availability. The study involves creating a smartphone application that continually reads sensor data and sends it to the cloud. The crash is discovered by threshold analysis. The critical novelty of this research is creating a scheme that alerts nearby hospitals and ambulances when an accident occurs. The system will have more minor inaccuracies, precisely identify accidents, and perform better than earlier techniques using four sensory inputs. This paper introduced novel types of deep learning for accident detection. © 2025 The Author(s).

关键词： Knowledge management

来源：评论

学校读者我要写书评

暂无评论

OneDiff: A Generalist Model for Image Difference Captioning 17th

OneDiff: A Generalist Model for Image Difference Captioning

引用

17th Asian conference on computer Vision, ACCV 2024

作者： Hu, Erdong Guo, Longteng Yue, Tongtian Zhao, Zijia Xue, Shuning Liu, Jing Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9789819609079

In computer vision, Image Difference Captioning (IDC) is crucial for accurately describing variations between closely related images. Traditional IDC methods often rely on specialist models, which restrict their applicability across varied contexts. This paper introduces the OneDiff model, a novel generalist approach that utilizes a robust vision-language model architecture, integrating a siamese image encoder with a Visual Delta Module. This innovative configuration allows for the precise detection and articulation of fine-grained differences between image pairs. OneDiff is trained through a dual-phase strategy, encompassing Coupled Sample Training and multi-task learning across a diverse array of data types, supported by our newly developed DiffCap Dataset. This dataset merges real-world and synthetic data, enhancing the training process and bolstering the model’s robustness. Extensive testing on diverse IDC benchmarks, such as Spot-the-Diff, Image-Editing-Request, and Birds-to-Words, shows that OneDiff consistently outperforms existing state-of-the-art models in accuracy and adaptability, achieving improvements of up to 97% CIDEr points in average. By setting a new benchmark in IDC, OneDiff paves the way for more versatile and effective applications in detecting and describing visual differences. The code, models, and data will be made publicly available. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Visual languages

来源：评论

学校读者我要写书评

暂无评论

Investigating Domain Adaptation for Medical Image Classification 5th

Investigating Domain Adaptation for Medical Image Classifica...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Agarwal, Ankita Seth, Jyoti Sharma, Ambrish Kumar Karthikeyan, M.P. Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Department of Computer Science and Engineering Vivekananda Global University Jaipur India Master of Computer Application Noida Institute of Engineering and Technology Uttar Pradesh Greater Noida India Karnataka Bangalore India

ISBN: (纸本)9789819780426

Area version goals bridge the space between supply and target domain names by remodeling statistics from the source domain to the target area without providing categorized goal facts. Medical image domain version is a critical trouble in scientific imaging obligations, consisting of most cancers prognosis, because it lets in for the switch of understanding throughout particular medical imaging modalities, obligations, and affected person cohorts. It can help address record distribution shifts and make undertaking medical photo classes more dependable and accurate. In this examination, we look into several area model techniques and benchmark their performance in the venture of the medical photo category. We examine supervised and unsupervised methods, as well as deep studying-based methods. The results of our experiments offer insights into the performance of numerous area model techniques for clinical picture class that could assist in deciding the pleasant method to use in any given medical imaging task. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Medical imaging

来源：评论

学校读者我要写书评

暂无评论

An Evaluation of Interactive Communication Media Algorithms and Their Usage for Networking Applications 5th

An Evaluation of Interactive Communication Media Algorithms ...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Kudari, Jayashree M. Yadav, Rakesh Kumar Yadav, Surendra Kapse, Vinod Mansiram Karnataka Bangalore India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Department of Computer Science and Application Vivekananda Global University Jaipur India Department of Electronics and Communication Engineering Noida Institute of Engineering and Technology Uttar Pradesh Greater Noida India

ISBN: (纸本)9789819780426

This paper evaluates using interactive conversation media algorithms inside the context of networking applications. Exceptional forms of algorithms are mentioned, which includes media movement algorithms, interactive conversation protocols, recording algorithms, and video compression protocols. The overall performance of those algorithms is classified and evaluated thru a quantitative analysis that includes measurements of common latency and packet loss. Additionally, the paper investigates using interactive communication media algorithms for one of kind programs together with video conferencing, on line gaming, and voice over IP offerings. Sooner or later, a contrast of various algorithms is made, with hints for the fine answers primarily based on the evaluated performance and application necessities.. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Video conferencing

来源：评论

学校读者我要写书评

暂无评论

Real-Time Classification of Defects During Automated Valve Testing and Inspection 5th

Real-Time Classification of Defects During Automated Valve T...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Singh, Shweta Agarwal, Trapty Haripriya Hemlata School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bangalore India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Dehradun India

ISBN: (纸本)9789819780426

This paper offers a singular method for actual-time type of defects at some point of computerized valve testing and inspection. Mainly, an image processing gadget is developed to discover and classify various defects which includes cracks, dents, foreign items, and different floor irregularities. The machine includes a high-decision digital camera, LED lighting fixtures, processing unit, and defect reputation algorithm. The image processing system captures the picture and methods it to pick out the illness regions. The gadget then extracts the features from every of the detected regions and classifies them the usage of a guide Vector device. The model is demonstrated with manually received pics, and the outcomes show true overall performance in terms of accuracy and speed. Similarly, the system can alert the consumer whilst a potential disorder is identified and the defects can then be in addition inspected and repaired. This approach has the ability to lessen inspection time, enhance manufacturing efficiency, and reduce charges. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Lighting fixtures

来源：评论

学校读者我要写书评

暂无评论

Effect of EKF Localization on Path Tracking in Autonomous Vehicle Navigation Systems

Effect of EKF Localization on Path Tracking in Autonomous Ve...

引用

2025 international conference on Electronics, Information, and Communication, ICEIC 2025

作者： Cho, Eun Ho Yang, Seung Geon Kwon, Girim Lim, Seung-Chan School of ICT Robotics and Mechanical Engineering Hankyong National University Anseong Korea Republic of School of Electrical and Computer Engineering University of Seoul Seoul Korea Republic of

ISBN: (纸本)9798331510756

This paper presents an integrated approach to evalu-ating the interplay between localization and path-tracking performances in autonomous vehicle navigation systems. Considering stochastic uncertainties in motion and measurement models, we design an extended Kalman filter (EKF) for localization and employ the pure pursuit method for steering control. We analyze how localization accuracy impacts path-tracking performance through extensive simulations, varying the number of landmarks and noise covariance settings. Our results highlight the critical role of accurate localization in improving path tracking, offering valuable insights for designing robust autonomous navigation systems. © 2025 IEEE.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Innovative Image Processing Techniques for Automating Cosmetic Inspection 5th

Innovative Image Processing Techniques for Automating Cosmet...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Panwar, Govind Singh Murthy, D.H.R. Agarwal, Trapty Jaison, Feon Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bangalore India

ISBN: (纸本)9789819780426

Progressive photograph processing techniques were developed for automating the technique of beauty inspection. These techniques make use of the wealthy, unique image records of the inspected objects to hastily become aware of diverse product defects. Specifically, object features including coloration, texture, size, shape, and location are first extracted from the photograph, and every function is then evaluated to come across cosmetic defects. Following the detection technique, the extracted capabilities are used to at once alter the manufacturing technique, enabling faster production turnaround times and progressed product quality. The strategies are designed to make certain rapid and accurate product inspection and also provide a bendy adjustment of parameters for various types of cosmetic merchandise. With these techniques, producers are capable of reduce cosmetically based totally product defects and supply improved great merchandise in a shorter time frame. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Inspection

来源：评论

学校读者我要写书评

暂无评论

Efficient Clustered Mean Forecasting for Time Series with Head-Based Aggregation 5th

Efficient Clustered Mean Forecasting for Time Series with He...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Anand, Piyush Ramesh, T. Agarwal, Trapty Preethi, D. Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Luknow India Karnataka Bangalore India

ISBN: (纸本)9789819780426

Green Clustered mean Forecasting (ECMF) for Time series is a novel forecasting approach that is capable of efficaciously aggregating the underlying additives of a time collection through combining the top-primarily based Aggregation (HBA) technique alongside the mean Forecasting (MF) method. ECMF may be utilized to detect and become aware of companies of time collection intently associated with every other, therefore taking into account extra correct and reliable forecasts. By way of counting on HBA to discover any patterns in the information and then imposing MF to generate forecasts from the ones styles, ECMF can offer more accurate and reliable forecasts than the prevailing strategies. Moreover, this technique is computationally green, due to the hierarchical shape of the data, which reduces the quantity of forecasting experiments wanted. The ensuing forecasts are also easier to examine, as they may be generated from a standard head-based totally version. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Implementing Cryptographic Algorithms for Securing Online Transactions 5th

Implementing Cryptographic Algorithms for Securing Online Tr...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Bhuvana, J. Bhatt, Rahul Metre, Prakash B. Mishra, Awakash Karnataka Bangalore India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

Cryptographic algorithms are critical in securing online transactions. They provide relaxed verbal exchange channels for fairly touchy statistics that wishes to be reliably transmitted among a couple of remote events. Cryptographic algorithms permit for at ease authentication, confidentiality, non-repudiation, and integrity amongst events for their virtual activities. Implementing those algorithms is a complex procedure, however, due to the ever-changing nature of security threats, acquiring an expertise of the way to properly implement cryptographic algorithms becomes critical. This paper makes a speciality of how to correctly enforce cryptographic algorithms for securing on-line transactions. Precise topics consist of excellent practices for deciding on an appropriate algorithms, fine techniques for key distribution, necessary gadget necessities for cozy on line communications, the process for implementing them, and the importance of securely storing encryption keys. Via expertise the specified procedures and strategies, developers and users might be capable of correctly and securely make on-line transactions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Encryption algorithms

来源：评论

学校读者我要写书评

暂无评论

Utilizing Support Vector Machines for Signal Processing in Telecommunications 5th

Utilizing Support Vector Machines for Signal Processing in T...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Mishra, Awakash Mehta, Deepak Arya, Rakesh Prasad, P.S. Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bengaluru India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India

ISBN: (纸本)9789819780426

SVMs had been effectively applied to various signal processing tasks in Telecommunications, along with goal detection and category in cognitive radio networks, channel estimation, exploiting spatial variety for multipath wireless conversation channels, interference cancellation, and era of feature vectors for sign type. In goal detection and category in Wi-Fi conversation networks, SVMs may be used to come across and classify specific types of wireless signals with an excessive diploma of accuracy. The input characteristic vectors are comprised of the signal’s spectrum and temporal features, and they are used for the education of the SVM classifier. In channel estimation, SVMs may be used to estimate the unknown channel parameters in Wi-Fi conversation channels with a low but suitable suggest-squared-blunders charge. That is viable via exploiting the diversity of more than one received signal replicas and the usage of the predicted channel parameters to improve signal reception. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wi-Fi

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 << < 34 35 36 37 38 39 40 41 42 43 > >>

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：