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

1,748 篇 会议
76 册 图书
48 篇 期刊文献

馆藏范围

1,871 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,274 篇 工学
- 1,063 篇 计算机科学与技术...
- 564 篇 软件工程
- 213 篇 电气工程
- 213 篇 信息与通信工程
- 209 篇 控制科学与工程
- 103 篇 生物工程
- 90 篇 光学工程
- 81 篇 生物医学工程（可授...
- 74 篇 机械工程
- 57 篇 交通运输工程
- 51 篇 电子科学与技术（可...
- 44 篇 安全科学与工程
- 38 篇 化学工程与技术
- 32 篇 仪器科学与技术
- 24 篇 材料科学与工程（可...
- 21 篇 建筑学
- 19 篇 动力工程及工程热...
430 篇 理学
- 193 篇 数学
- 182 篇 物理学
- 121 篇 生物学
- 63 篇 统计学（可授理学、...
- 42 篇 系统科学
- 34 篇 化学
205 篇 管理学
- 116 篇 管理科学与工程(可...
- 105 篇 图书情报与档案管...
- 42 篇 工商管理
91 篇 医学
- 76 篇 临床医学
- 33 篇 基础医学(可授医学...
- 16 篇 药学(可授医学、理...
28 篇 法学
- 26 篇 社会学
15 篇 教育学
8 篇 农学
7 篇 经济学
7 篇 文学
3 篇 艺术学
2 篇 军事学

主题

244 篇 pattern recognit...
93 篇 real-time system...
91 篇 feature extracti...
83 篇 accuracy
77 篇 artificial intel...
55 篇 face recognition
55 篇 intelligent syst...
54 篇 training
48 篇 deep learning
44 篇 speech recogniti...
41 篇 neural networks
41 篇 machine learning
40 篇 pattern recognit...
38 篇 computer imaging...
38 篇 convolutional ne...
37 篇 object detection
36 篇 learning systems
35 篇 support vector m...
35 篇 object recogniti...
34 篇 cameras

机构

6 篇 hubei key labora...
5 篇 natl inst techno...
5 篇 university of ch...
4 篇 natl inst techno...
4 篇 school of big da...
4 篇 natl inst techno...
4 篇 tongji universit...
4 篇 amrita univ amri...
3 篇 univ chittagong ...
3 篇 csiro ict centre
3 篇 natl. lab. of pa...
3 篇 pattern recognit...
3 篇 university of el...
3 篇 university of an...
3 篇 national laborat...
3 篇 university of mi...
3 篇 universidad esta...
3 篇 birla inst techn...
3 篇 universidad andr...
3 篇 institute of aut...

作者

6 篇 de-shuang huang
5 篇 kang-hyun jo
4 篇 patil nagamma
4 篇 adachi yoshinori
4 篇 sei-ichiro kamat...
4 篇 ma songde
4 篇 donald c. wunsch
4 篇 daniel s. levine
4 篇 anon
4 篇 zhang haitao
4 篇 zhang hao
4 篇 honggang zhang
4 篇 iwahori yuji
3 篇 paul scheunders
3 篇 wilfried philips
3 篇 andersson karl
3 篇 kumar ajay
3 篇 tongwei lu
3 篇 dan popescu
3 篇 soman k. p.

语言

1,833 篇 英文
24 篇 其他
19 篇 中文
1 篇 西班牙文

检索条件"任意字段=4th International Conference on Intelligent Systems and Pattern Recognition-ISPR"

共 1872 条记录，以下是41-50 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：

intelligent Monitoring Technology of Two-ticket System for Safety Production in Power Grid Enterprise 4

Intelligent Monitoring Technology of Two-ticket System for S...

引用

4th international conference on New Energy and Power Engineering, ICNEPE 2024

作者： Huang, Chengwei Zeng, Jia Zhang, Fayan Zhang, Wenxiao Lai, Zhaoyang Hezhou Power Supply Bureau Guangxi Power Grid Co. Ltd. Province Guangxi China Guangxi Power Grid Co. Ltd. Province Guangxi China Hohai University College of Information Science and Engineer Changzhou China

ISBN: (纸本)9798331516086

this paper studies the advancement of intelligent monitoring methods of the two-ticket system for power grid operations. It is known that the manual monitoring strategies are inadequate for addressing the sophisticated demands of contemporary power grid safety. To bridge this gap, this paper introduces an innovative smart surveillance system that leverages the prowess of artificial intelligence (AI) and edge computing. this system is designed to provide real-time oversight of the two-ticket execution process, ensuring that all safety protocols are adhered to without delay. By integrating AI for pattern recognition and edge computing for on-site data processing, the proposed system enhances the efficiency and reliability of power grid operations, thereby fortifying the overall safety management framework. © 2024 IEEE.

关键词： Power grids

来源：评论

学校读者我要写书评

暂无评论

2024 4th international conference on Electronic Information Engineering and Computer Technology, EIECT 2024

2024 4th International Conference on Electronic Information ...

引用

4th international conference on Electronic Information Engineering and Computer Technology, EIECT 2024

ISBN: (纸本)9798331528850

the proceedings contain 221 papers. the topics discussed include: evaluation of reliability model in electrical system;research on wireless dynamic magnetic resonance charging technology for autonomous vehicles;key technologies for multi-pathing in high-reliability multi-controller storage systems;design of intelligent analog circuit generation system;design of upper computer detection system for vibration parameters of mechanical equipment;design of intelligent warehouse management system;speech emotion recognition based on graph convolutional neural networks;reinforcement learning based container placement strategies;a study on sentencing for traffic offences based on the decision tree algorithm;design and implementation of an ultrasonic audio jamming system;framework design and theoretical research on abstract account gas payment mechanism;and research on key technologies of control-by-wire system for trackless transportation robot in coal mines.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Fuzzy Inference System for Sustainable Outfit Recommendations in the Fashion Industry 4

A Fuzzy Inference System for Sustainable Outfit Recommendati...

引用

4th international conference on Innovative Practices in Technology and Management, ICIPTM 2024

作者： Raj, Raunak Kaur, Veerpal Krishan, Kewal Nandy, Aadrita Choudhary, Jyoti Kumar, Ajay Lovely Professional University School of Computer Science and Engineering Punjab India

ISBN: (纸本)9798350307757

In 1826, Charles Frederick Worth, widely recognized as the first fashion designer, had no idea of the significant growth, financial success, and widespread recognition the fashion industry would achieve. the vast amounts of data produced by the fashion industry today can be analyzed using Big Data techniques to help with pattern recognition. Given the substantial volume of data available, the potential for utilizing Artificial Intelligence within this industry is vast. However, what if someone wants to purchase an outfit that only exists in their imagination? To address this, a recommendation system must prioritize delivering sustainable fashion recommendation outcomes aligned with the Sustainable Development Goals. Most existing Artificial Intelligence (AI) and Machine Learning model-based recommendation systems are based on the time-consuming task of analyzing vast quantities of previously collected user data. the problem can be addressed using a Fuzzy Inference System technique. By employing this technique, the goal of sustainable fashion will be achieved, along with the fact that the system can provide outfit recommendations by engaging in intelligent inquiry and posing relevant and well-informed queries before searching. this approach not only fosters innovation but also promotes quality of life and emphasizes environmental sustainability, sustainable production, and resource efficiency, reducing consumer levels of waste. Integrating recycling and sustainable practices into the fashion industry contributes to energy efficiency and sustainable management. the advancement of the recommendation system in terms of technology transfer will be a crucial focus for future research and development. © 2024 IEEE.

关键词： Recommender systems

来源：评论

学校读者我要写书评

暂无评论

Optimization Study of KNN Classification Algorithm on Large-Scale Datasets: Real-Time Optimization Strategy Based on Balanced KD Tree and Multi-threaded Parallel Computing 4

Optimization Study of KNN Classification Algorithm on Large-...

引用

4th international conference on intelligent Computing and Human-Computer Interaction, ICHCI 2023

作者： Cao, Kangjie Wu, Jinyao Huang, Qianhang Gan, Yichao Minzu University of China Department of Computer Science and Technology Beijing China

ISBN: (纸本)9798350343113

the K-Nearest Neighbors (KNN) algorithm is a classical supervised learning method widely used in classification and regression problems. However, the KNN algorithm faces serious challenges when dealing with high-dimensional large-scale datasets, mainly in terms of high computational complexity, low search efficiency, and difficulty in real time. In this study, an optimization strategy based on balanced KD tree and multithreaded parallel computing is proposed to address this problem. Experimental results show that the optimized KNN algorithm significantly improves the search speed while maintaining classification accuracy, realizes real-time classification of large-scale datasets, and provides a powerful tool for pattern recognition, data mining, and other fields in the era of big data. © 2023 IEEE.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

An algorithm for intelligent human-computer interaction gesture recognition 4

An algorithm for intelligent human-computer interaction gest...

引用

4th international conference on Digital Signal and Computer Communications, DSCC 2024

作者： Ma, Junjie Xie, Yinqing Jiang, Hongyu Wang, Yihan City Institute Dalian University Technology Dalian China

ISBN: (纸本)9781510681538

Gesture recognition systems are currently receiving increasing attention as a popular and practical means of human-computer interaction. Human-computer interaction gesture recognition systems provide new strategies for social interaction with virtual environments. the objective of this paper is to provide an effective gesture recognition system by improving the dynamic time adjustment algorithm. In this study, the proposed technique is applied to a video dataset and high accuracy is obtained. Also, the system is applied to an open database and the performance is compared with other commonly used algorithms. Experiments show that the proposed algorithm has good performance in both precision and accuracy, reaching 98.74% and 96.32% respectively. © 2024 SPIE.

关键词： Gesture recognition

来源：评论

学校读者我要写书评

暂无评论

Educational intelligent Chat Bot for Von Willebrand Disease Among Senegalese People 4

Educational Intelligent Chat Bot for Von Willebrand Disease ...

引用

4th international conference on Sustainable Expert systems, ICSES 2024

作者： Akuthota, Keerthi Sai Kishor Kumar Reddy, C. Kyatham, Aashritha Reddy Ganjam, Amrutha Sriya Fatima, Shugufta Akuthota, Sai Vamshi Stanley College of Engineering and Technology for Women Department of Computer Science and Engineering Hyderabad India Design Tech Homes Oklahoma State University WoodlandsTX United States

ISBN: (纸本)9798331540364

Von Willebrand disease (VWD) is a blood disorder caused by a protein deficiency that prevents blood from clotting properly. the challenge faced by people with Von Willebrand disease is having access to limited information, users frequently believe they do not have access to all the information they require to manage their condition. the lack of technological literacy could make it difficult for them to interact efficiently and the language barrier is the biggest concern. the model of an educational intelligent chatbot for patients with Von Willebrand seeks to close information gaps and literacy, especially among Senegalese people. this chatbot uses voice recognition and machine learning to deliver accurate, culturally appropriate information in an approachable manner. this cutting-edge solution, which provides trustworthy instructional resources in a safe digital setting, is expected to greatly improve hemophilia sufferers' quality of life and ability to manage their condition with an emphasis on Senegalese people in particular, the creation of an Educational intelligent Chatbot for Von Willebrand Patients tackles the urgent need for improved knowledge and education regarding Von- Willebrand. this sophisticated chatbot uses the most recent advancements in machine learning and speech recognition to provide accurate, culturally appropriate information in an interesting and approachable manner. © 2024 IEEE.

关键词： Bot (Internet)

来源：评论

学校读者我要写书评

暂无评论

Development of Deep Convolutional Neural Network for Road Sign Detection 4

Development of Deep Convolutional Neural Network for Road Si...

引用

4th IEEE international conference on Smart Information systems and Technologies, SIST 2024

作者： Zhan, Batyr Temirgaziyeva, Sharipa Department of Information Systems Al-Farabi Kazakh National University Almaty Kazakhstan

ISBN: (纸本)9798350374865

this research paper delves into the realm of road sign detection and classification using deep Convolutional Neural Networks (CNNs). Leveraging the robust capabilities of CNNs, the study comprehensively investigates the intricate landscape of computer vision techniques applied to the task of road sign recognition. the focal point of this research centers on the design and evaluation of a CNN-based architecture trained on the German Traffic Sign recognition Benchmark (GTSRB) dataset, comprising over 50,000 annotated road sign images across 43 distinct classes. through a rigorous examination of theoretical foundations and practical implementation, the study elucidates the pivotal role of CNNs in enhancing the accuracy and efficiency of road sign detection systems. the research evaluates the model's performance using precision, recall, and F1-score metrics, consistently demonstrating the model's adeptness in minimizing false positives while effectively capturing pertinent road sign instances. Furthermore, this study underscores the significance of meticulous dataset curation, model optimization, and training procedure refinement in augmenting the efficacy of road sign detection systems. the outcomes of this research have far-reaching implications for intelligent transportation systems, autonomous vehicles, and road safety, offering a promising trajectory towards the advancement of responsive and reliable road sign recognition technologies. © 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

Structured Component Welding Automation intelligent Production Control System pattern Research 4

Structured Component Welding Automation Intelligent Producti...

引用

4th IEEE international conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Cui, Can Zhou, Weibing Xia, Xiaoqian Tang, Bo Yiyang Vocational and Technical College Yiyang China

ISBN: (纸本)9798350363586

this paper primarily constructs a modular and flexible production management and control system aimed at the automated welding requirements of different enterprises. It forms a customized welding automation production control system model, relying on the existing welding work environment of the enterprise. By combining the requirements of welding automation with the characteristics of the enterprise's structured components, it provides an intelligent production management and control approach according to the production process that matches the enterprise's requirements. this serves as an example for the systematic management of intelligent welding systems in enterprises. © 2024 IEEE.

关键词： Smart manufacturing

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis Method for Marine Engine under Variable Working Conditions Based on Adversarial Subdomain Adaptation 4

Fault Diagnosis Method for Marine Engine under Variable Work...

引用

4th international conference on Machine Learning and intelligent systems Engineering (MLISE)

作者： Zhang, Xiaorong Zhou, Mingshun Wang, Peng Qingdao Ocean Shipping Mariners Coll Qingdao Shandong Peoples R China

ISBN: (纸本)9798350375084;9798350375077

Marine engines have a high risk of failure during navigation and face issues such as varying operating conditions and complex faults. Existing research mainly focuses on fault diagnosis of marine engines under single operating conditions, neglecting the applicability of these methods under other conditions. To address this issue, this paper employs domain adaptation techniques to study cross-condition fault diagnosis of marine engines. Firstly, a self-calibrating convolutional neural network is used to extract health state features from engine operation data. Meanwhile, by integrating adversarial and subdomain adaptation techniques, the distribution differences in global domains and local subdomains under different operating conditions are reduced, thereby improving the fault diagnosis accuracy under variable conditions. Finally, the effectiveness of the diagnostic model is validated based on simulated marine engine fault data. For the designed one-to-one and one-to-many condition transfer tasks, the average fault diagnosis accuracy reaches approximately 90%, achieving higher recognition accuracy compared to other methods. the research results can provide theoretical reference for fault diagnosis of marine engines under variable operating conditions.

关键词： deep learning intelligent diagnosis transfer learning domain adaptation

来源：评论

学校读者我要写书评

暂无评论

Robot Debater: Debate-styled Text Auto-generation System Based on Large Foundation Language Models 4

Robot Debater: Debate-styled Text Auto-generation System Bas...

引用

4th IEEE international conference on pattern recognition and Machine Learning, PRML 2023

作者： Zhu, Yu Ling, Yijun Ling, Xufeng Yang, Jie Shanghai China Shanghai Xiangming High School Shanghai China Shanghai Normal University Tianhua College School of Artificial Intelligence Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9798350324303

We use a large foundation language model, which is fine-tuned with debate corpora, to develop a robot debater application. To address the limitations of requiring immense computational power in large base language models, this study takes advantage of the Low Rank Adaption characteristic prevalent in domain expert knowledge. By applying Low Rank Adaption technology and fine-tuning with a dedicated dataset, the computational load is reduced to just one-thousandth of what is needed for a large language model, greatly expanding the application scenarios of robot debaters using large language models. In view of the characteristics of debate competitions, this model can preset a variety of debate scenarios and supports personalized debate processes. It employs intelligent voice recognition technology combined with a multi-channel voice input method, allowing for precise localization of different human debaters and improving the accuracy of voice input recognition. the system can support multiple large-scale language generation models and utilize various different voice broadcasting systems, including male and female voice styles, as well as a range of voice emotions. this model can be applied to debate competitions held in universities, high schools, and various industries. It can support human-machine debates as well as machine-to-machine debates. © 2023 IEEE.

关键词： Speech recognition

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188页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：