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

57,761 篇 会议
282 册 图书
250 篇 期刊文献
1 篇 科技报告

馆藏范围

58,294 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

31,812 篇 工学
- 19,405 篇 计算机科学与技术...
- 15,420 篇 软件工程
- 11,097 篇 控制科学与工程
- 5,776 篇 机械工程
- 5,451 篇 信息与通信工程
- 4,660 篇 电气工程
- 3,206 篇 电子科学与技术（可...
- 2,575 篇 仪器科学与技术
- 2,199 篇 生物工程
- 2,052 篇 光学工程
- 1,954 篇 动力工程及工程热...
- 1,866 篇 生物医学工程（可授...
- 1,313 篇 化学工程与技术
- 1,300 篇 交通运输工程
- 1,198 篇 建筑学
- 1,089 篇 土木工程
- 1,064 篇 安全科学与工程
- 1,007 篇 材料科学与工程（可...
- 996 篇 力学（可授工学、理...
12,685 篇 理学
- 6,790 篇 数学
- 3,584 篇 物理学
- 2,396 篇 生物学
- 1,905 篇 系统科学
- 1,648 篇 统计学（可授理学、...
- 1,074 篇 化学
7,367 篇 管理学
- 5,772 篇 管理科学与工程(可...
- 2,226 篇 工商管理
- 1,913 篇 图书情报与档案管...
1,378 篇 医学
- 1,236 篇 临床医学
- 1,106 篇 基础医学(可授医学...
938 篇 经济学
779 篇 法学
674 篇 农学
598 篇 教育学
197 篇 文学
175 篇 艺术学
152 篇 军事学
5 篇 哲学
5 篇 历史学

主题

4,229 篇 automation
1,914 篇 control systems
1,864 篇 computational mo...
1,749 篇 design automatio...
1,420 篇 computer archite...
1,388 篇 feature extracti...
1,328 篇 robot sensing sy...
1,275 篇 accuracy
1,246 篇 robots
1,131 篇 computer science
1,103 篇 computer vision
1,020 篇 robotics and aut...
1,019 篇 mobile robots
1,018 篇 cameras
962 篇 training
881 篇 real-time system...
842 篇 mathematical mod...
813 篇 neural networks
764 篇 application soft...
749 篇 robustness

机构

335 篇 school of automa...
286 篇 school of mechat...
132 篇 maharishi school...
112 篇 department of el...
110 篇 college of autom...
103 篇 school of electr...
100 篇 school of comput...
94 篇 karnataka bangal...
90 篇 school of automa...
85 篇 centre of resear...
78 篇 school of automa...
72 篇 jiangsu automati...
72 篇 xi'an technologi...
72 篇 faculty of infor...
65 篇 school of comput...
63 篇 department of au...
62 篇 department of co...
61 篇 school of comput...
59 篇 school of comput...
55 篇 institute of aut...

作者

63 篇 valeriy vyatkin
48 篇 jun wang
43 篇 li li
35 篇 liu yang
34 篇 li xin
31 篇 wang lei
30 篇 zhang tao
29 篇 li yang
29 篇 shuzhi sam ge
27 篇 zhang lei
27 篇 mengchu zhou
26 篇 ning xi
25 篇 yuechao wang
25 篇 china
24 篇 haitao yuan
23 篇 peter b. luh
23 篇 yang jun
23 篇 ming li
22 篇 kang li
22 篇 jun zhang

语言

56,770 篇 英文
956 篇 其他
644 篇 中文
6 篇 西班牙文
3 篇 俄文
3 篇 土耳其文
2 篇 法文
1 篇 葡萄牙文

检索条件"任意字段=International Conference on Computer and Automation Engineering"

共 58294 条记录，以下是241-250 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：

Revolutionizing Talent Acquisition in Human Resources with Advanced Deep Learning-Based Resume Screening and Candidate Matching Algorithms 3

Revolutionizing Talent Acquisition in Human Resources with A...

引用

3rd IEEE international conference on automation and Computation, AUTOCOM 2025

作者： Dilli Ganesh, V. Erkinjon, Tulovov Alzubaidi, Laith H. Vijayakumar, K. Singh, K. Ranjith Rahuman, A. Kaleel Department of Mechanical Engineering Chennai India Tashkent State University of Economics Department of Audit Tashkent Uzbekistan College of technical engineering The Islamic University Department of Computer Techniques Engineering Najaf Iraq Flextronics Technologies India Pvt.Ltd. India Karpagam Academy of Higher Education Department of Computer Science Coimbatore India Psna College of Engineering and Technology Department of Electronics and Communication Engineering India

ISBN: (纸本)9798331542375

In general, this paper outlines a research agenda to transform the approach to talent management in HR using deep learning strategies for enhanced resume analysis and candidate matching. The above work proposed and developed a system that exploits the most advanced tools of natural language processing, and recent advances in neural networks to correctly parse resumes and the candidates to jobs descriptions. The system deals with the issues of unstructured resume data, the efficient extraction of the required data, and assessment of the candidate on his/her fitness in the given company in terms of his/her technical competencies and compatibility with the company's work culture. Substantial real life data analysis presented in the paper proves high efficiency and equity of the applications. This research also incorporates the ethical questions as well as the ways of dealing with data privacy regulations and the biases in the historical data by applying the explainable AI methods. A questionnaire to the users of the system, which are the HR professionals further verifies the real-world application and usability of the system based on concepts such as ease of use, precision and time economy. In conclusion, the study adds knowledge to the process of establishing ethical and optimal AI implementations in the field of HRM and results in the improvement of talent recruitment strategies and practices promoting fair hiring decisions. © 2025 IEEE.

关键词： Mergers and acquisitions

来源：评论

学校读者我要写书评

暂无评论

Printed Circuit Board Assembly Welding Process Based on computer-Aided Design 7th

Printed Circuit Board Assembly Welding Process Based on Comp...

引用

7th international conference on Communication, Device and Networking, ICCDN 2024

作者： Liu, Wensheng Jiangsu Research Institute of Automation Jiangsu Lianyungang222000 China

ISBN: (纸本)9789819764648

With the continuous development of the electronics industry in recent years, electronic products, as a ubiquitous consumer product, have been updated and replaced more frequently. They are becoming lighter, thinner, and more convenient electronic products, and the requirements for production capacity and product quality are gradually increasing. As the core of electronic products, printed circuit boards (PCBs) possess high integration and density, while also requiring high efficiency and quality in production. Any small error in the process of PCB welding and assembly can greatly affect the normal use of electronic products. In this environment, traditional manual inspection cannot meet the increasing demand due to its slow detection speed and easy omission. Therefore, this article will study the defect detection process in PCB assembly and welding based on computer-aided technology. Enhance the PCB public dataset through BigGAN network, use computer data models to detect defect locations and identify types in the bare board dataset, and verify the effectiveness and accuracy of this detection through experiments. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electronics industry

来源：评论

学校读者我要写书评

暂无评论

An Intelligent Self-Aware Financial Inclusion System for Digital Society 3

An Intelligent Self-Aware Financial Inclusion System for Dig...

引用

3rd IEEE international conference on automation and Computation, AUTOCOM 2025

作者： Rawat, Ruchira Goyal, Himanshu Rai Sharma, Sachin Kotiyal, Bina Graphic Era Deemed to be University Dept. of Computer Science and Engineering Dehradun India Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798331542375

The continuous advancement in technology has restructured industries, due to innovations in Artificial Intelligence (AI) the financial sector endorsing astonishing transformations. This research recognizes the potential of AI in fintech for digital society while focusing on the transition toward Industry 5.0, which is based on human-AI collaboration. AI technologies, such as Artificial Generative Intelligence (AGI) and Artificial Narrow Intelligence (ANI), are limited in handling intricate, vigorous financial environments. ANI has improved efficiency via credit risk assessment, customer service automation, and fraud detection, whereas AGI aims for more comprehensive decision-making capabilities. ANI and AGI are creating a gap in accomplishing a truly responsive, customer-centric system as it cannot fully adapt to subtle decision-making or erratic market shifts. This paper suggests a Super Artificial Intelligence (SAl) as a promising solution to overcome limitations, standing SAI-based design for a unified nifty digital financial system. Its forward-thinking decision-making proficiencies, self-learning, and flexibility are expected to transmute financial aligned with Industry 5.0's human-centered principles by providing adaptive services, enhancing financial inclusion and personalized. The study identifies key challenges in current AI applications, through a comprehensive review of literature and case studies, such as algorithmic errors and customer facility, and highlights how SAI could offer a more autonomous and ethical approach to financial decision-making. The paper concludes by underscoring the importance of continuous AI validation, ethical considerations, and human oversight to ensure sustainable, secure, and customer-focused financial systems. © 2025 IEEE.

关键词： Fintech

来源：评论

学校读者我要写书评

暂无评论

Leveraging Artificial Intelligence for Colon Cancer: Trends, Challenges and Innovations 3

Leveraging Artificial Intelligence for Colon Cancer: Trends,...

引用

3rd IEEE international conference on automation and Computation, AUTOCOM 2025

作者： Takkar, Sakshi Rakhra, Manik Lovely Professional University Dept. of Computer Science and Engineering Punjab Phagwara India

ISBN: (纸本)9798331542375

Artificial Intelligence (AI) has made huge enhancements in colon cancer research through its methods for diagnosis, treatment, and custom detection of one of the most common and fatal cancers suffered globally. Through AI deep learning and machine learning methods, tremendous possibilities have been realized in automating, for example, polyp detection in colonoscopy images, cancer classification from histopathological slides, and even predicting disease treatment outcomes. The current direction is towards transfer learning, hybrid model building and AI applications in surgery robots aimed at more accurate diagnosis and treatment procedures. Besides them, however, they have serious disadvantages, access to computer learning systems and datasets are limited, AI models come without explanation, embedding of artificial intelligence into clinical practices becomes troublesome. In future development, emphasize should be on creating databases, explainable ethics AI approaches, building bridges between developers and practitioners in medicine. The objective of the paper is how to incorporate research that has been done in moving colon cancer AI systems into practice, understanding the AI satellites put on colon cancer research. © 2025 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Novel Deep Learning Architecture for Automated Identification of Obstructive Sleep Apnea from Polysomnographic Data 2

Novel Deep Learning Architecture for Automated Identificatio...

引用

2nd international conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Shabu, S.L. Jany Indhuja, V. Jeevitha, R. Refonaa, J. Dhamodaran, S. Poornima, D. Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798331505745

Sleep apnea disorder manifests as obstructive sleep apnea, which affects immense portions of society because it causes life-threatening health problems that include cardiovascular disease alongside diabetes and decreased productivity. The diagnosis of OSA through manual methods is both time demanding and expensive and contains a significant potential for human errors while requiring heavy resources. This research presents deep learning automation as the novel approach for automatic OSA detection through polysomnographic assessments. Our proposed system implements Genetics Algorithm optimized machine learning algorithms which include Logistic Regression, Support Vector Machines, Random Forests, Artificial Neural Networks and more. The analysis utilizes data from the Sleep Health and Lifestyle Dataset for preprocessing operations and features extraction that leads to better sleep disorder and stage classification accuracy. Through hyperparameter adjustment the Random Forest predictive model reached 95% F1 score which proved most effective for OSA detection. Through automation the classification process benefits from reliability with scalability and efficiency and produces better patient outcomes. © 2025 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

A frequency-domain index for quickly selecting optimal down-sampling factor in photoacoustic imaging 17

A frequency-domain index for quickly selecting optimal down-...

引用

17th international conference on Photonics and Imaging in Biology and Medicine, PIBM 2024

作者： Tang, Shihao Wan, Min Li, Jiani Zhang, Yameng Tao, Ling Li, Weitao College of Automation Engineering Nanjing University of Aeronautics and Astronautics Jiangsu Nanjing211106 China Department of Computer Engineering Nanjing Institute of Technology No.1 Hongjing Avenue Jiangsu Nanjing211167 China

ISBN: (数字)9781510688070

ISBN: (纸本)9781510688063

Photoacoustic microscopy (PAM) has emerged as a rapidly advancing non-invasive medical imaging method in recent years. However, slow imaging speed has impeded its widespread adoption in clinical applications. In certain scenarios, sparse spatial sampling is essential for PAM so there is a trade-off between spatial resolution and imaging speed. To address this limitation, we propose a frequency domain index based on cumulative power difference (CPD) to determine rapidly the optimal down-sampling factors. In this study, the structural images of mice ears were acquired by the PAM system. Subsequently, the optimal down-sampling factor was determined through CPD analysis of these images via interpolation. Finally, the correlation between cumulative power difference and the image quality loss curve were analyzed. The results indicate that the quality of the reconstructed images decreases with the increasing down-sampling factor. Moreover, the cumulative power difference is an effective tool for rapid assessment of reconstruction image quality degradation due to varying down-sampling factors. © 2025 SPIE.

关键词： Photoacoustic microscopy

来源：评论

学校读者我要写书评

暂无评论

Optimization of Harmonic Measuring Device Layout for High-Proportion Renewable Energy Integration 5

Optimization of Harmonic Measuring Device Layout for High-Pr...

引用

5th IEEE international conference on Power, Electronics and computer Applications, ICPECA 2025

作者： Wu, Zhipeng Liu, Yuanhuang Cheng, Chuanling Fang, Ming Liu, Junfeng Huang, Chunyan Hainan Power Grid Co. Ltd Electric Power Science Research Institute Haikou 570105 China Key Laboratory of Physical and Chemical Analysis for Electric Power of Hainan Province Haikou570105 China School of Automation Science and Engineering South China University of Technology Guangzhou 510641 China Guangzhou Power Electrical Technology Co. Ltd. Guangzhou510641 China

ISBN: (纸本)9798331533694

Renewable energy generation power fluctuates with a high degree of randomness. Therefore, to ensure the accuracy of distribution system state estimation, it is urgent to take more consideration of various uncertainties. In order to consider the randomness problems associated with renewable energy grid-connection and minimize the number of harmonic measuring devices, this paper introduces weighting rules and optimizes the position update formula of binary particle swarm optimization algorithm with the help of Levy flight mechanism, and obtains an improved Levy flight binary particle swarm optimization algorithm. Applying this algorithm to solve the layout optimization problem effectively improves the defect that PSO is easy to fall into local optimal. Through the simulation analysis of the improved IEEE-30 and 39-node models, the feasible configuration scheme is obtained. The simulation results show the superiority of the proposed algorithm, which can provide a more suitable configuration scheme for large-scale access of renewable energy. © 2025 IEEE.

关键词： Harmonic measurement device Lévy flight Particle swarm optimization State estimation

来源：评论

学校读者我要写书评

暂无评论

Effect of Weather Conditions and Obstructions on Vehicle Model, Logo, and License Plate Recognition Systems Using Deep Learning

Effect of Weather Conditions and Obstructions on Vehicle Mod...

引用

international conference on computer and automation engineering, ICCAE

作者： Yitzak Wheimdal E. Foz Jacob Dylan D. Soliman Marloun P. Sejera School of Electrical Electronics and Computer Engineering Mapùa University Manila Philippines

ISBN: (数字)9798331533816

ISBN: (纸本)9798331533823

Vehicle recognition systems are used in various sectors of our modern society. Environmental factors greatly affect the efficiency of these systems. This study aims to determine the effect of weather conditions such as direct sunlight, cloudy weather, and rain on a YOLO based system's ability to detect a vehicle's model, logo, and license plate.

关键词： YOLO Deep learning Rain automation Computational modeling Clouds Licenses Environmental factors License plate recognition Meteorology

来源：评论

学校读者我要写书评

暂无评论

QoE-Based Resource Allocation in Wireless Networks: An Analysis 3

QoE-Based Resource Allocation in Wireless Networks: An Analy...

引用

3rd IEEE international conference on automation and Computation, AUTOCOM 2025

作者： Agarwal, Trapty Grover, Madhur Sahu, Madhusmita Ojha, Varun Sunil, M.P. Saravanan, M. Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Applications Odisha Bhubaneswar India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331542375

Wireless networks are developing quickly and can avoid providing an increasing number of services such as video streaming, online games, or real-time communication. However, the quality of experience when accessing content over these networks is still at stake;end-users are concerned with constraints like network congestion, channel quality, and resources provided. In the literature, several proposals, such as QoE-aware resource allocation strategies, have been suggested to tackle this issue. This technical abstract considers QoE-driven approaches for resource allocation in wireless networks. These approaches are employed to facilitate users' perceived QoE by selectively provisioning the users with adequate network resources according to their QoS demands. For example, the analysis takes a look at some of these strategies as well as the main factors that inform them when designing for user preferences, network conditions, and resource availability. We then discuss the benefits and limitations of other approaches, such as Fuzzy logic-based methods and game theory-based methods. © 2025 IEEE.

关键词： Resource allocation

来源：评论

学校读者我要写书评

暂无评论

Adaptive Test Healing using LLM/GPT and Reinforcement Learning 18

Adaptive Test Healing using LLM/GPT and Reinforcement Learni...

引用

18th IEEE international conference on Software Testing, Verification and Validation Workshops, ICSTW 2025

作者： Mani, Nariman Attaranasl, Salma Nutrosal Inc Engineering/R & D Department Ottawa Canada

ISBN: (纸本)9798331534677

Flaky tests disrupt software development pipelines by producing inconsistent results, undermining reliability and efficiency. This paper introduces a hybrid framework for adaptive test healing, combining Large Language Models (LLMs) like GPT with Reinforcement Learning (RL) to address test flakiness dynamically. LLMs analyze test logs to classify failures and extract contextual insights, while the RL agent learns optimal strategies for test retries, parameter tuning, and environment resets. Experimental results demonstrate the framework's effectiveness in reducing flakiness and improving CI/CD pipeline stability, outperforming traditional approaches. This work paves the way for scalable, intelligent test automation in dynamic development environments. © 2025 IEEE.

关键词： Reinforcement learning

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 << < 21 22 23 24 25 26 27 28 29 30 > >>

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：