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

6,718 篇 会议
329 册 图书
119 篇 期刊文献

馆藏范围

7,165 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

4,791 篇 工学
- 3,970 篇 计算机科学与技术...
- 2,033 篇 软件工程
- 808 篇 电气工程
- 771 篇 信息与通信工程
- 592 篇 控制科学与工程
- 395 篇 生物工程
- 381 篇 生物医学工程（可授...
- 297 篇 光学工程
- 296 篇 机械工程
- 213 篇 仪器科学与技术
- 182 篇 电子科学与技术（可...
- 138 篇 化学工程与技术
- 128 篇 材料科学与工程（可...
- 120 篇 网络空间安全
- 108 篇 安全科学与工程
- 91 篇 动力工程及工程热...
1,629 篇 理学
- 809 篇 数学
- 494 篇 物理学
- 490 篇 生物学
- 273 篇 统计学（可授理学、...
- 190 篇 化学
- 141 篇 系统科学
844 篇 管理学
- 463 篇 管理科学与工程(可...
- 425 篇 图书情报与档案管...
- 181 篇 工商管理
679 篇 医学
- 604 篇 临床医学
- 254 篇 基础医学(可授医学...
- 145 篇 药学(可授医学、理...
- 100 篇 公共卫生与预防医...
122 篇 法学
- 115 篇 社会学
92 篇 教育学
58 篇 农学
52 篇 经济学
43 篇 艺术学
12 篇 文学
4 篇 军事学
1 篇 哲学

主题

927 篇 pattern recognit...
800 篇 artificial intel...
447 篇 machine learning
291 篇 feature extracti...
243 篇 deep learning
203 篇 accuracy
185 篇 support vector m...
134 篇 data mining
128 篇 training
126 篇 neural networks
126 篇 face recognition
103 篇 local binary pat...
103 篇 computer imaging...
102 篇 computer vision
88 篇 image processing...
87 篇 real-time system...
87 篇 convolutional ne...
85 篇 information syst...
83 篇 pattern matching
83 篇 computational mo...

机构

39 篇 chitkara univers...
33 篇 maharishi school...
27 篇 school of comput...
27 篇 indian stat inst...
25 篇 centre of interd...
25 篇 the islamic univ...
23 篇 department of ar...
23 篇 concordia univ c...
22 篇 national univers...
20 篇 school of comput...
19 篇 univ chinese aca...
18 篇 school of comput...
18 篇 univ waterloo de...
17 篇 vishwakarma inst...
16 篇 national laborat...
15 篇 school of artifi...
15 篇 institute of aut...
14 篇 lovely professio...
14 篇 uttaranchal inst...
14 篇 college of pharm...

作者

54 篇 suen ching y.
24 篇 suen cy
22 篇 kamel mohamed s.
18 篇 lu bao-liang
18 篇 karray fakhri
17 篇 de-shuang huang
17 篇 abraham ajith
14 篇 maji pradipta
13 篇 dash yajnaseni
12 篇 c.y. suen
10 篇 liu cheng-lin
10 篇 venkatesh svetha
10 篇 wong alexander
10 篇 chauhan rahul
10 篇 natarajan s.
10 篇 zheng wei-long
10 篇 liu wei
10 篇 vinay a.
9 篇 zhang lei
9 篇 gill kanwarparta...

语言

6,735 篇 英文
403 篇 其他
65 篇 中文
1 篇 土耳其文

检索条件"任意字段=3rd International Conference on Pattern Recognition and Machine Intelligence"

共 7166 条记录，以下是941-950 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：

Modal Analysis System of Emotion First in Vocal Art Under the Background of Sound Wave recognition and Matching 3

Modal Analysis System of Emotion First in Vocal Art Under th...

引用

3rd international conference on Electronics and Sustainable Communication Systems, ICESC 2022

作者： Niu, Minghui Hebei University of Economics and Business College of Art Shijiazhuang050000 China

ISBN: (数字)9781665479714

ISBN: (纸本)9781665479714

This paper focuses on the back-end pattern matching algorithm, and introduces the fuzzy-mean clustering algorithm in the model training process, which makes the recognition effect significantly improved. This algorithm has high robustness in clustering. It is introduced into the training algorithm to replace the commonly used hard clustering algorithm to find the initial point of the model. The importance of emotional expression in vocal performance art is analyzed, and then it is discussed. The measures to improve the emotional expression level of vocal performance art hope to bring help to the majority of colleagues to improve their artistic level. Correspondingly starts n sub-threads for concurrent computing. When the improved feature coefficients are applied to the Android platform, the equivalence rate is reduced by 7.24%, the recognition rate is increased by 6.8%, and the robustness in noisy environments has also been significantly improved. After adding 3 sub-threads, the computation time of feature extraction is shortened by about 35%. © 2022 IEEE.

关键词： pattern matching

来源：评论

学校读者我要写书评

暂无评论

Exploring the Use of machine Learning Techniques for Enhancing Real-Time Data Access 3

Exploring the Use of Machine Learning Techniques for Enhanci...

引用

3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Rampal, Sourav Shreenidhi, H.S. Shrivastava, Manish Singh, Akhilendra Pratap Reena, R. Kumar, Santosh D. Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Computer Science and Engineering Faculty of Engineering and Technology Karnataka Bangalore India Vivekananda Global University Department of Computer Science & Engineering Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering Chennai127 India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India

ISBN: (纸本)9798350319125

Actual-time statistics to date has updated, increasingly vital as the quantity of virtual information maintains updated growth. Effective choice-making depends on the capability to update access and analyze records. Device up-to-date techniques provide the capacity up-to-date enhance actual-time statistics up-to-date by using offering insights from disparate pieces of information. This paper addresses the potential benefits of using a system with date knowledge and updated, up-to-date strategies to broaden extra clever statistics up to date updated systems. It summarizes the contemporary nation of the art and highlights studies in machine learning and up-to-date imaginative and prescient real-time information up-to-date. It additionally discusses present-day challenges and shows viable instructions for future studies. The studies network up-to-date recall how gadgets are up to date know that updated strategies may be used to facilitate real-time get entry updated the maximum precious pieces of facts. © 2023 IEEE.

关键词： machine learning

来源：评论

学校读者我要写书评

暂无评论

Artificial intelligence & AGILE Based Business Development Review 3

Artificial Intelligence & AGILE Based Business Development R...

引用

3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Maneria, Sumitra Paikaray, Divya Parul University Department of CSE PIT India

ISBN: (纸本)9798350399264

In this essay, I want to look at how to provide products to customers as rapidly as possible without sacrificing product quality. We will examine how the six consistent design principles may assist us in ensuring that the finished product has the highest attainable quality in the shortest amount of time imaginable throughout the improvement interaction. Giving wonderful items quickly for what it's worth to accomplish as such successfully is equally important. There are several strategies we may employ to achieve this, such availability techniques, which enable us to retain the highest level of quality we are capable of as a software development team. Along with a few strategies for expediting product delivery and including a better driver software architecture in the driver software, he explains these strategies. A sizable portion of India's economy is focused on the food industry. The great majority of individuals in this area rely mostly on agricultural produce for their income, which benefits the whole community. The development of food, which is fundamental for human food, is heavily influenced by ranchers. The sales reps are attempting to decide the right selling cost for the offers they are giving. The misfortunes of this organization outperform its benefits. As indicated by the financial exchange hypothesis referenced above, ranchers are allowed to sell their wares at the most elevated offer cost. Ranchers that sign up in this manner will approach different administrations, including assessments, distributer correspondence, market warnings, and different elements and benefits of a comparable kind. Predictive analytics may be used in many other industries, such as expert device manufacture (which might include voice recognition and artificial vision), judicial assessment, and a number of others. Precision agriculture, automated weapons systems (such as drones), and judicial precedent analysis are a few examples. The adoption of artificial intelligence agricult

关键词： Agriculture

来源：评论

学校读者我要写书评

暂无评论

Fruit and Vegetable Grading with Transfer Learning and Convolutional Neural Networks for Better Productivity 3

Fruit and Vegetable Grading with Transfer Learning and Convo...

引用

3rd international conference on Advanced Computing Technologies and Applications, ICACTA 2023

作者： Narvekar, Chhaya Rao, Madhuri Xavier Institute of Engineering Department of Information Technology Mumbai India Thadomal Shahani Engineering College Department of Artificial Intelligence and Data Science Mumbai India

ISBN: (纸本)9798350348347

Grading provides quality assurance by confirming that agricultural products match predetermined standards, which can boost consumer trust in the goods. Additionally, it aids in ensuring that consumers receive products that are risk-free and error-free. In this study, a fruit and vegetable grading system based on deep learning methods such as transfer learning and convolutional neural networks (CNN) is proposed. The suggested approach correctly categorizes various fruit and vegetable varieties according to their outward appearance. Objective is to ascertain the effect of various grading parameters, such as size, shape, and color, on the grading system's correctness. This study utilized labeled image dataset for training models. Transfer learning is utilized to enhance the performance and accuracy of the grading system by leveraging pre-trained CNN models. The experimental findings show that the suggested system outperforms existing fruit grading systems and achieves excellent accuracy to comprehend how grading and standardization affect farming's profitability. © 2023 IEEE.

关键词： Grading

来源：评论

学校读者我要写书评

暂无评论

Congestion Control Routing Scheme for WSN using AI Technologies 3

Congestion Control Routing Scheme for WSN using AI Technolog...

引用

3rd international conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2024

作者： Basha, S.K. Mahaboob Gurumoorthi, E. Beulah, E. Mercy Kesavan, R. Kalaiselvan, S.A. Kumar, Lenin Tkr College of Engineering and Technology Department of Computer Science and Engineering Telangana India Cmr College of Engineering & Technology Department of Computer Science and Engineering Telangana India Vel Tech Multi Tech Dr. Rangarajan Dr.Sakunthala Engineering College Department of Computer Science and Engineering Chennai Avadi India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Chennai India Rajalakshmi Engineering College Department of Artificial Intelligence and Machine Learning Chennai India Vignan Institute of Technology and Sciences Department of Electronics Communication and Engineering Telangana India

ISBN: (纸本)9798350369083

An essential part of wireless sensor networks (WSN) is managing congestion, which occurs when the amount of traffic exceeds the combined or individual capacities of the underlying channel. As a result, developing more advanced methods to prevent, detect, and alleviate congestion requires particular considerations. In order to obtain the highest throughput, these strategies must take into account the limited resources of the WSN. Dedicated congestion control strategies and routing protocols that help in congestion detection as well as management are two of the many methods that have been created in recent years. As a means of avoiding congestion, the sink node in the previous designs would reset the topology and reduce bulk traffic. In this article, we lay the groundwork for WSNs and AI, the latter of which will try to prevent congestion in WSNs from the get-go and the former of which will try to minimize the spread of impending congestion by rerouting traffic. An integral part of modern life, Artificial intelligence (AI) allows us to create self-governing systems. It is possible to enhance performance and reliability by making use of several sophisticated AI approaches. Better network management and routing in WSN may be the outcome of studying the AI algorithm used by WSN, leading to a more dependable network. Here we'll take a look at several AI algorithms that have found their way into WSNs, and we'll talk about how these algorithms might help WSNs overcome their challenges and become more reliable and efficient. Additionally, artificial intelligence has often been disregarded in these networks because of limitations on data processing as well as power consumptions. Thanks to AI, WSN is now lightning fast, error-free, as well as effective in almost every way. Using AI methods in nodes of wireless sensors for congestion aware routes is the goal of this work. © 2024 IEEE.

关键词： Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

Early Stage Detection of Alzheimer's using Hybrid Artificial intelligence Model: A Review 3

Early Stage Detection of Alzheimer's using Hybrid Artificial...

引用

3rd IEEE international conference on Intelligent Technologies, CONIT 2023

作者： Hiremath, Mrutyunjaya S. Biradar, Rajashekhar C. REVA University School of Electronics and Communication Bangalore560064 India

ISBN: (纸本)9798350338607

The most well-known form of dementia, AD - Alzheimer's Disease, is a critical problem in contemporary medicine. AD affects over 5.8 million individuals aged 65 and older, causing the sixth greatest reason for death in the US. A loss of cognitive function is the hallmark of AD, a degenerative brain condition that is irreversible and for which there is no known therapy. Deep learning approaches have been increasingly popular recently, especially in natural language processing and computer vision. These methods have started to get significant in research on Alzheimer's Disease diagnosis, and the volume of publications published in this area has been rapidly increasing since 2014. According to reports, deep learning methods are superior to traditional machine learning models for diagnosing AD. This paper evaluates the present state-of-the-art in Alzheimer's Disease diagnosis using Deep Learning to examine the potential of Deep Learning in Alzheimer's Disease diagnosis. Moreover, highlight the current trends and findings using a comprehensive literature analysis. The study investigates several datasets and biomarkers for diagnosing AD. Despite the potential that Deep Learning has shown in diagnosing AD, several issues still need to be resolved. © 2023 IEEE.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Crop Yield Prediction and Price Forecasting Using machine Learning 3rd

Crop Yield Prediction and Price Forecasting Using Machine Le...

引用

3rd international conference on Intelligent Systems and Applications, ICISA 2024

作者： Swain, Nihar Ranjan Choudhary, Vaishali Silswal, Shivam Shastri, Apoorva S. Spanogiannopoulos, Sotirios Institute of Artificial Intelligence Dr. Vishwanath Karad MIT World Peace University 124 Paud Road Pune KothrudMH 411038 India Abu Dhabi United Arab Emirates

ISBN: (纸本)9789819798384

The rising population necessitates meeting the demand for maximum crop yield to ensure a stable life. However, traditional farming methods may not be suitable for every crop, especially in challenging conditions such as low water availability and soil infertility. This makes it imperative to explore alternative approaches to address these agricultural challenges. Traditional farming gives less yield as it mostly depends on natural resources like soil and water, however technology can help to increase quality of soil by providing precise fertilizer leading to healthy crop condition. Artificial intelligence (AI) plays crucial role for making smart decision approach to increase the crop yield. AI can enhance soil quality through precise fertilizer application, promoting optimal crop conditions. Additionally, deciding which crops to cultivate involves considering various factors. The crop yield prediction model utilizes Bayesian Ridge Regression, K-Nearest Neighbours (KNN), Support Vector machine (SVM), Decision Tree, Random Forest, Gradient Boosting machine (GBM), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting machine (Light GBM), and Artificial Neural Network (ANN). XGBoost and Light GBM outperformed with an R-Square of 99.2631% and 99.9963% respectively by reducing overfit. In crop price forecasting models, gated recurrent units (GRU) outperform over Long Short-Term Memory (LSTM) and Autoregressive Integrated Moving Average (ARIMA). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Land Use and Land Cover Classification for Temporal Analysis on Ganjam District Region, Odisha Using Remote Sensing and Google Earth Engine 3

Land Use and Land Cover Classification for Temporal Analysis...

引用

3rd IEEE international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Sharma, Vinayak Singh, Ankur Prasad, Yashrai Gupta, Suruchi Choudhury, Tanupriya Kotecha, Ketan Uttarakhand Dehradun248007 India Cse Dept. Maharashtra Pune412115 India Symbiosis Center for Applied Artificial Intelligence Maharashtra Pune412115 India

ISBN: (纸本)9798350343274

Land use/land cover change (LULC) affects natural ecosystems and the environment, which can lead to changes in land resources, biodiversity, ecological functions, and environmental components. This is why LULC Change Analysis plays an important role in planning and using current and future natural resources for the sustainable development of any country. This paper performs LULC classification and analysis over a study region in Ganjam District, Odisha, India. Satellite data was extracted from Landsat 7 and 8 satellites that provide spectral and multi-temporal images. For the LULC classification, 5 LULC classes were considered such as water bodies, vegetation, urban areas, barren Land, and cropland. A machine learning-based approach was applied using Google Earth Engine (GEE) to compare different supervised classifiers such as Support Vector machine (SVM), Classification and Regression Trees (CART), and Random Forest over the periods between 2010 and 2020. In this study, SVM gave the best results with 92 percent Overall Accuracy(OA) and 0.90 Kappa Value. Also, the change analysis showed that Urban areas increased by 112 percent, cropland by 9 percent, and barren land decreased by 68 percent between 2010 and 2020. © 2023 IEEE.

关键词： Landsat

来源：评论

学校读者我要写书评

暂无评论

23rd international conference on Next Generation Wired/Wireless Networking, NEW2AN 2023, and 16th conference on Internet of Things and Smart Spaces, ruSMART 2023

23rd International Conference on Next Generation Wired/Wirel...

引用

23rd international conference on Next Generation Wired/Wireless Networking, NEW2AN 2023, and 16th conference on Internet of Things and Smart Spaces, ruSMART 2023

ISBN: (纸本)9783031609961

The proceedings contain 67 papers. The special focus in this conference is on Next Generation Wired/Wireless Networking. The topics include: Detecting PII Leakage Using DPI and machine Learning in an Enterprise Environment;deep Learning for Preventing Botnet Attacks on IoT;Design of Multi-polarisation MIMO Antenna for Heterogeneous Smartphone Applications;potential Possibilities of Voice pattern recognition by a Distributed Fiber Optic Sensor;Enhancing Wireless Connectivity Through Bayesian-Optimized UAV-BS Positioning and Charging;comparison of Centralized and Federated machine Learning Techniques for Beamtracking in 5G/6G Systems;exploring the Efficiencies and Vulnerabilities of Smart Door Control Systems: A Systematic Review;System-Level Model for SINR and HPBW Evaluation in 5G mmWave UDN with Location-Aware Beamforming;reinforcement Learning Based Power Allocation for 6G Heterogenous Networks;The Impact of Capacity Averaging in Packet-Level Modeling of 5G NR with Blockage and Micromobility;Interference Mitigation for Reconfigurable Intelligent Surface (RIS)-Aided Non-terrestrial Base Station (NTBS) in NOMA Downlink HetNets;modeling a Digital Avatar of a Car Drivers Based on the Quantification of the Information Environment;A New Blockage Detection Approach for 6G THz Systems;real-Time Anomaly Detection in Network Traffic Using Graph Neural Networks and Random Forest;addressing Security and Privacy Issues in a Smart Environment by Using Blockchain as a Preemptive Technique;the Role of Cryptocurrencies in the Development of Countries and the Fight Against Financial Problems;Designing the UzBCS Lending Platform Network Based on Blockchain Technology and Ensure Transaction Security;decentralized Blockchain Networks and Economic Security: Balancing Scalability and Security Tradeoffs;study of machine Learning Models for IoT Based Efficient Classroom Usage;transforming Higher Education: A Comprehensive Analysis of Blockchain Technologies and Digitalization.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Enhancing Data Visualization in Real-Time with machine Learning 3

Enhancing Data Visualization in Real-Time with Machine Learn...

引用

3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Sripriya, T. Kachhoria, Renu Dev, Sudhanshu Mahesh, T.R. Nivesh Acharjya, Kalyan Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India Chitkara University Institute of Engineering and Technology Chitkara University Centre of Interdisciplinary Research in Business and Technology Punjab India Computer Science and Engineering Faculty of Engineering and Technology Karnataka Bangalore India Vivekananda Global University Department of Computer Science & Engineering Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350319125

Statistics visualization is an effective tool for information and communicating insights from massive facts sets. However, giving complicated records in a correct and complete style becomes challenging, mainly when the statistics are dynamic and change rapidly in real time. Device learning may be leveraged to enhance records visualization, making it more particular and comprehensive. This paper discusses the integration of machine learning techniques to enhance data visualization in real-time. The exponential growth of data in recent years has made it challenging for traditional techniques to effectively visualize and interpret data in real-time. machine learning algorithms offer the ability to analyze and classify data in real-time, providing a more accurate and efficient way to visualize complex datasets. By leveraging machine learning, data visualization can be enhanced by automatically generating visual representations that are tailored to the data and user preferences. This paper presents an overview of the different machine learning techniques that can be applied to data visualization, along with their advantages and limitations. Additionally, a case study is presented to demonstrate the effectiveness of using machine learning for real-time data visualization. Through this study, it is shown that the integration of machine learning can significantly improve the speed, accuracy, and usability of data visualization in real-time scenarios. By using including the strength of machine learning to statistics visualization, such methods can permit quicker and deeper insights into records, taking into consideration higher selection making within the modern-day international wherein facts modifications swiftly. © 2023 IEEE.

关键词： interactive interested machine potential visualization

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 << < 91 92 93 94 95 96 97 98 99 100 > >>

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：