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

3,063 篇 会议
245 册 图书
129 篇 期刊文献

馆藏范围

3,432 篇 电子文献
5 种 纸本馆藏

日期分布

学科分类号

938 篇 工学
- 720 篇 计算机科学与技术...
- 528 篇 软件工程
- 223 篇 信息与通信工程
- 196 篇 控制科学与工程
- 167 篇 电气工程
- 89 篇 电子科学与技术（可...
- 71 篇 机械工程
- 67 篇 生物工程
- 61 篇 生物医学工程（可授...
- 58 篇 网络空间安全
- 54 篇 动力工程及工程热...
- 50 篇 化学工程与技术
- 46 篇 仪器科学与技术
- 39 篇 光学工程
- 36 篇 交通运输工程
- 31 篇 环境科学与工程（可...
- 28 篇 安全科学与工程
442 篇 理学
- 259 篇 数学
- 111 篇 物理学
- 83 篇 生物学
- 81 篇 统计学（可授理学、...
- 64 篇 化学
- 56 篇 系统科学
298 篇 管理学
- 194 篇 管理科学与工程(可...
- 134 篇 图书情报与档案管...
- 106 篇 工商管理
53 篇 医学
- 47 篇 基础医学(可授医学...
- 47 篇 临床医学
- 28 篇 药学(可授医学、理...
39 篇 经济学
- 39 篇 应用经济学
32 篇 法学
21 篇 教育学
18 篇 农学
3 篇 文学
3 篇 军事学

主题

43 篇 artificial intel...
32 篇 computational in...
22 篇 machine learning
22 篇 congresses.
18 篇 cloud computing
18 篇 distributed comp...
16 篇 software enginee...
16 篇 computer communi...
14 篇 real-time system...
14 篇 forecasting
13 篇 big data
13 篇 computational mo...
12 篇 internet of thin...
12 篇 computer science
12 篇 information syst...
12 篇 computer systems...
12 篇 data mining
12 篇 professional com...
11 篇 neural networks
11 篇 genetic algorith...

机构

11 篇 fukuoka institut...
9 篇 university of sa...
8 篇 florida internat...
8 篇 democritus unive...
8 篇 international in...
7 篇 infn sezione di ...
7 篇 università di pa...
7 篇 infn sezione di ...
7 篇 universidade de ...
7 篇 universität sieg...
7 篇 univ. grenoble a...
7 篇 universidad de m...
7 篇 universidade de ...
7 篇 università del s...
7 篇 torino
7 篇 palacky universi...
7 篇 gran sasso scien...
7 篇 palermo
7 篇 infn sezione di ...
7 篇 institute for as...

作者

14 篇 barolli leonard
12 篇 coleman a.
9 篇 anon
8 篇 flaggs b.
7 篇 giammarchi m.
7 篇 bismark k.
7 篇 fazzini n.
7 篇 avila g.
7 篇 emam m.
7 篇 de mitri i.
7 篇 covault c.e.
7 篇 deligny o.
7 篇 almeida cheminan...
7 篇 aglietta m.
7 篇 condorelli a.
7 篇 anastasi g.a.
7 篇 cataldi g.
7 篇 gaudu c.
7 篇 cobos cerutti a....
7 篇 brack j.

语言

3,217 篇 英文
145 篇 其他
78 篇 中文
3 篇 葡萄牙文
3 篇 俄文
1 篇 德文

检索条件"任意字段=Proceedings of the 7th International Conference on Algorithms, Computing and Systems"

共 3437 条记录，以下是631-640 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：

A Convolutional Neural Network Based Classification Approach for Breast Cancer Detection 7

A Convolutional Neural Network Based Classification Approach...

引用

7th international conference on Trends in Electronics and Informatics, ICOEI 2023

作者： Or Rashid, Md Harun Shahriyar, S.M. Shamrat, F M Javed Mehedi Mahbub, Tanzil Tasnim, Zarrin Ahmed, Md Zunayed Daffodil International University Department of Computer Science and Engineering Dhaka Bangladesh Daffodil International University Department of Software Engineering Dhaka Bangladesh

ISBN: (纸本)9798350397284

thousands of women worldwide are diagnosed with breast cancer yearly, which may be fatal if not treated. the diagnosis of the condition may take years, by which time the patient has little choice except to have the affected breast removed. Early diagnosis and treatments are the best ways to stop this disease's spread. In this study, the authors presented a Computer Aided Diagnosis (CAD) system to assist in breast cancer diagnosis. the study uses the Wisconsin breast cancer dataset to classify benign and malignant data. For the classification, three pre-trained Deep learning algorithms: Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Multilayer Perceptron (MLP), were used. A novel CNN model that exceeds the performance efficiency of three pre-trained models and requires minimal compilation time is proposed. A number of evaluation matrices are used to analyze the models' classification abilities. Upon closer inspection, it has been established that the proposed CNN model outperforms CNN, LSTM, and MLP models with validation accuracy of 97.85%. CNN and LSTM performed with accuracies of 94.12% with the Adagrad optimizer and 93.5% with the Adam optimizer, respectively. Furthermore, MLP performance with 92.44% accuracy using the Adam optimizer. the proposed CNN model achieves the lowest Loss value and compilation time. In addition, the models' recall value, precision, and f1-score are computed to pick out the most effective model for diagnosing breast cancer on numeric data. © 2023 IEEE.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

7th EAI international conference on Smart Objects and Technologies for social Good, GOODTECHS 2021

7th EAI International Conference on Smart Objects and Techno...

引用

7th EAI international conference on Smart Objects and Technologies for social Good, GOODTECHS 2021

ISBN: (纸本)9783030914202

the proceedings contain 23 papers. the special focus in this conference is on Smart Objects and Technologies for social Good. the topics include: Preface;balancing Activity Recognition and Privacy Preservation with a Multi-objective Evolutionary Algorithm;Advanced 5G Network Slicing Isolation Using Enhanced VPN+ for Healthcare Verticals;guideSwarm: A Drone Network Design to Assist Visually Impaired People;LISA - Lingua Italiana dei Segni Accessibile: A Progressive Web App to Support Communication Between Deaf People and Public Administrations;Building Emotionally Stable, Inclusive, and Healthy Communities with ICT: From State of the Art to PSsmile App;management Technology for Institutional Environment in Pandemic Times;augmented Reality, Virtual Reality and Mixed Reality as Driver Tools for Promoting Cognitive Activity and Avoid Isolation in Ageing Population;ageing@home: A Secure 5G Welfare Technology Solution for Elderlies;defining the Instruments for Zero-Measurement of Psychological Well-Being at Older Adults;DERCA Tool: A Set of Tests for Analysis of Elderly Dexterity in Information and Communications Technologies;building Smart Healthy Inclusive Environments for All Ages with Citizens;biometric Data Capture as a Way to Identify Lack of Physical Activity in Daily Life;the New Era of Technology Applied to Cardiovascular Patients: State-of-the-Art and Questionnaire Applied for a System Proposal;Co-design and Engineering of User Requirements for a Novel ICT Healthcare Solution in Murcia, Spain;what Do Nurses and Careers in Portugal Wish and Need from a Digital Intelligent Assistant for Nursing Applications;examining Furniture Preferences of the Elderly in Greece;comparative Analysis of Process Mining algorithms in Python.

关键词：

来源：评论

学校读者我要写书评

暂无评论

7th international conference on Computational Science and Technology, ICCST 2020

7th International Conference on Computational Science and Te...

引用

7th international conference on Computational Science and Technology, ICCST 2020

ISBN: (纸本)9789813340688

the proceedings contain 47 papers. the special focus in this conference is on Computational Science and Technology. the topics include: the Most Potential Decision Tree Technique to Classify the Large Dataset of Students;attention Models for Sentiment Analysis Using Objectivity and Subjectivity Word Vectors;a Question-Answering System that Can Count;contactless Patient Authentication for Registration Using Face Recognition Technology;drawing and Recognising Simple Shapes with Real-Time Feedback Using Pattern Recognition;information Technology Students’ Preferences on Blended Learning;preface;building a Knowledge Graph of Vietnam Tourism from Text;improved Facial Recognition algorithms Based on Dragonfly and Grasshopper Optimization;optimization on the Financial Management of Banks with Two-Stage Goal Programming Model;evaluating the Performance of Selected Mortality Forecasting Models: A Malaysia Case Study;assessing Python Programming through Personalised Learning Styles Model;the Programming Learning Assessment Model for Measuring Student Performance;design and Functionality of a University Academic Advisor Chatbot as an Early Intervention to Improve Students’ Academic Performance;Multiprocessing Implementation for Building a DNA q-gram Index Hash Table;predicting Chart Difficulty in Rhythm Games through Classification Using Chart Pattern Derived Attributes;nasheed Song Classification by Fuzzy Soft-Set Approach;Hybrid SDN Deployment Using Machine Learning;technology Adoption Models: Users’ Online Social Media Behavior Towards Visual Information;LED Lighting Assessment for High-Performance Stadium Illuminance;split Balancing (sBal)—A Data Preprocessing Sampling Technique for Ensemble Methods for Binary Classification in Imbalanced Datasets;DyslexiAR: Augmented Reality Game Based Learning on Reading, Spelling and Numbers for Dyslexia User’s;applying Transfer Learning in Stock Prediction Based on Financial News.

关键词：

来源：评论

学校读者我要写书评

暂无评论

20th international Colloquium on theoretical Aspects of computing, ICTAC 2023

20th International Colloquium on Theoretical Aspects of Comp...

引用

20th international Colloquium on theoretical Aspects of computing, ICTAC 2023

ISBN: (纸本)9783031479625

the proceedings contain 25 papers. the special focus in this conference is on theoretical Aspects of computing. the topics include: An Autonomous Data Language;formal Language Semantics for Triggered Enable Statecharts with a Run-to-Completion Scheduling;strong Call-by-Value and Multi Types;algorithms for Checking Intersection Non-emptiness of Regular Expressions;realisability of Global Models of Interaction;efficient Reactive Synthesis Using Mode Decomposition;a Categorical Approach to Synthetic Chemistry;closure and Decision Properties for Higher-Dimensional Automata;robustness in Metric Spaces over Continuous Quantales and the Hausdorff-Smyth Monad;without Loss of Satisfaction;synchronous Agents, Verification, and Blame—A Deontic View;store Locally, Prove Globally;denotational Semantics for Symbolic Execution;TeSSLa-ROS-Bridge – Runtime Verification of Robotic systems;simplifying Process Parameters by Unfolding Algebraic Data Types;modular Soundness Checking of Feature Model Evolution Plans;modelling and Verifying Robotic Software that Uses Neural Networks;a Game-theoretic Approach to Indistinguishability of Winning Objectives as User Privacy;learning Attack Trees by Genetic algorithms;the Landscape of computing Symmetric n-Variable Functions with 2n Cards;on the Complexity of Reasoning in Kleene Algebra with Commutativity Conditions;towards the Complexity Analysis of Programming Language Proof Methods;a Dynamic Temporal Logic for Quality of Service in Choreographic Models.

关键词：

来源：评论

学校读者我要写书评

暂无评论

DIAG: A Refined Four-layer Agile Hardware Developing Flow for Generating Flexible Reconfigurable Architectures 25

DIAG: A Refined Four-layer Agile Hardware Developing Flow fo...

引用

30th Asia and South Pacific Design Automation conference, ASP-DAC 2025

作者： Hui, Haojia Gu, Jiangyuan Hu, Xunbo Wei, Shaojun Yin, Shouyi School of Integrated Circuits Tsinghua Univ. Beijing China Integrated Circuit Research Platform International Innovation Center of Tsinghua Univ. Shanghai China

ISBN: (纸本)9798400706356

Rapid evolution in application algorithms, exemplified by advancements in artificial intelligence, wireless communication, and sciencific computing, necessitates a focus on developing energy-efficient, highly-flexible parallel computing architectures. this urgency is further amplified by the need for agile hardware development techniques to mitigate design complexity and reduce costs. Among emerging agile hardware development techniques, generative HDL stands out due to its straightforward grammatical structure and compatibility with hardware design thinking, yet it remains underutilized. In response, this paper introduces a novel four-layer agile developing flow, termed DIAG, innovatively leveraging unique Plugin-Service technology. the DIAG framework is applied to an extensible reconfigurable architecture generator, enabling the generation of diverse CGRA designs suitable for accelerating task computations across multiple application domains. Our comprehensive experiments on the CGRA generator design validate the efficiency of the DIAG flow and underscore generative-HDL's significant potential for complex, large-scale hardware development. © 2025 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Reconfigurable architectures

来源：评论

学校读者我要写书评

暂无评论

Attribute Reduction Method Based on Improved Granular Ball Neighborhood Rough Set 7

Attribute Reduction Method Based on Improved Granular Ball N...

引用

7th international conference on Cloud computing and Big Data Analytics, ICCCBDA 2022

作者： Xia, Han Chen, Zizhong Wu, Yanmin Qi, Jinli Chongqing Key Laboratory of Computer Science and Technology Chongqing University of Posts and Telecommunications ChongQing China ChongQing College of Electronic Engineering Department of Artificial Intelligence and Big Data ChongQing China ChongQing College of Electronic Engineering Department of General Education and International Studies ChongQing China

ISBN: (纸本)9781665487115

Feature reduction is an important aspect of big data analytics today, and neighborhood rough set is a classic attribute reduction method. the traditional neighborhood rough set finds out the radius suitable for problem solving by specifying the radius of the neighborhood or using a grid search method. there are a lot of overlapping calculations in the neighborhood calculation, and the calculation complexity is high. the granular ball neighbor-hood rough set can adaptively generate different neighborhood radius, and obtains better algorithm efficiency and learning effect than the traditional neighborhood rough set. However, due to the overlap problem in the process of granular ball generation, the granular ball neighborhood rough set still exists the overlap calculation of neighborhoods. For this reason, this paper solves the problem of granular ball overlap by detecting heterogeneous ball overlap and splitting, and thus designs an improved granular ball neighbor-hood rough set attribute reduction method. Experiments show that the improved granular ball neighborhood rough set has higher classification accuracy on the public benchmark dataset than the classic neighborhood rough set and the standard granular ball neighborhood rough set. © 2022 IEEE.

关键词： Cloud computing Costs Search methods Rough sets Big Data Benchmark testing Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

6th international conference on Harmony Search, Soft computing and Applications, ICHSA 2020

6th International Conference on Harmony Search, Soft Computi...

引用

6th international conference on Harmony Search, Soft computing and Applications, ICHSA 2020

ISBN: (纸本)9789811586026

the proceedings contain 37 papers. the special focus in this conference is on Harmony Search, Soft computing and Applications. the topics include: Total Potential Optimization Using Metaheuristics: Analysis of Cantilever Beam via Plane-Stress Members;performance of the Whale Optimization Algorithm in Space Steel Frame Optimization Problems;evaluation of Metaheuristic Algorithm on Optimum Design of T-Beams;multi-objective Optimization of the Reinforced Concrete Beam;optimal Cost Design of Single-Story Reinforced Concrete Frames Using Jaya Algorithm;optimum Design of Reinforced Concrete Retaining Walls Under Static and Dynamic Loads Using Jaya Algorithm;jaya Optimization for the Design of Cantilever Retaining Walls with Toe Projection Restriction;transportation Path Assignment Within the Airports in Turkey;harmony Search algorithms for Optimizing Extreme Learning Machines;Structural Strengthening of RC Buildings for Enhanced Seismic Resistance;Seismic Performance of Existing RC Framed Buildings Using Pushover Analysis Method;computation of Axial Symmetric Cylindrical Reinforced Concrete Walls with Domes;a Review on the Mechanical Properties of Natural Fiber-Reinforced Composites;choosing the Appropriate Branch for Participation Banks through Machine Learning;prediction of Soil Plasticity Index with the Use of Regression Analysis and Artificial Neural Networks: A Specific Case for Bakırköy District;the Applicability of Regression Analysis and Artificial Neural Networks to the Prediction Process of Consistency and Compaction Properties of High Plastic Clays;A Hybrid Recurrent Model Based on LSTM and Statistical Evaluation to Predict Soil Displacement for Landslide Monitoring;Prediction of Optimum 3-Bar Truss Model Parameters with an ANN Model;Freestyle Rap Harmony Search (FRHS) for Engineering Problem Optimization;preface.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep Learning for Workplace Communication Analysis and Improvement 5

Deep Learning for Workplace Communication Analysis and Impro...

引用

5th IEEE international conference on computing, Power, and Communication Technologies, IC2PCT 2024

作者： Shukla, Anju Khaire, Rupali Neti, Manjula Singh, Brijesh Jagannath International Management School Kalkaji New Delhi India Sandip University Nashik School of Commerce and Management Maharashtra India Business Administration Sir Theagaraya College Chennai India Cmr Institute of Technology Department of Mba Bangalore India

ISBN: (纸本)9798350383522

this article explores the possibility of deep learning applied to improving workplace communication. A comprehensive dataset was compiled, consisting of 10 thousand emails, 5 thousand meeting transcripts and 7 thousand instant messages derived from a corporate environment. We used Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNN) and Long Short-Term Memory networks (LSTMs) to process and analyze this data. the models performed well, yielding accuracy of 88 % for CNN and higher at 91 % each for RNN and LSTM. Sentiment, keyword frequency and conversation topics were considered key pillars of the dynamics in communications. Based on these understandings, specific action plans were begun that resulted in an increase of 20 % clarity for communications and a rise of 25 % efficiency in team cooperation. the increases came from the adoption of pre-established indicators to measure improvement quantitatively. Deep learning can help in the dissection and improvement of workplace communication, as this study shows. the results show that communication efficiency can indeed be greatly improved, but they also point out the need to overcome challenges such as data privacy and AI algorithms. this study also indicates new avenues for integrating AI in organizational communication and provides information that can help to advance workplace interactions and effectiveness. © 2024 IEEE.

关键词： Convolutional neural network Deep learning Sentiment Analysis Workplace Communication

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Approaches for Sentiment Analysis in Social Media Data 7

Machine Learning Approaches for Sentiment Analysis in Social...

引用

7th international conference on Electronics, Communication and Aerospace Technology, ICECA 2023

作者： thenappan, S. Krishnan, Anju R Murugan, P. Sundara Bala Valarmathy, A.S. Chitra, P. Sayyed, Hifajatali Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India Karpagam College of Engineering Department of Electronics and Telecommunication Engineering Tamilnadu Coimbatore India St. Joseph's Institute of Technology Department of Management Studies Tamilnadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electrical and Electronics Engineering Tamilnadu Chennai India Agni College of Technology Department of Electronics and Communication Engineering Tamilnadu Kanchipuram India Symbiosis Law School Hyderabad Department of Law Symbiosis International Deemed University Pune India

ISBN: (纸本)9798350340600

As a crucial component of Natural Language Processing, sentiment analysis autonomously identifies and categorizes the positive and negative emotions reflected in social media text data. Here, the proposed work examines the viability of using Support Vector Machines (SVM) as a technique for machine learning to decipher online comments. Analysis of public opinion is crucial in the information age. Due to its nonlinear separability and efficacy with high-dimensional data, SVM is well-suited for this task. the bag-of-words technique is utilized for data acquisition, cleaning, and feature extraction. the SVM model is trained using cross-validation and hyperparameter adjustment, resulting in a 97% accuracy rate. Compared to other algorithms, the proposed SVM technique is preferable to the current method. the proposed work sheds light on how to assess the attitudes of social media users, whose findings may have significant implications for industries, including advertising, politics, and brand public opinion. © 2023 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Cyberbullying and Hate Speech Detection on Kazakh-Language Social Networks 7

Cyberbullying and Hate Speech Detection on Kazakh-Language S...

引用

7th IEEE international conference on Big Data Security on Cloud, 7th IEEE international conference on High Performance and Smart computing, and 6th IEEE international conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2021

作者： Sultan, Daniyar Mussiraliyeva, Shynar Toktarova, Aigerim Nurtas, Marat Iztayev, Zhalgasbek Zhaidakbaeva, Lyazzat Shaimerdenova, Lazzat Akhmetova, Oxana Omarov, Batyrkhan Al-Farabi Kazkah National University Faculty of Information Systems Almaty Kazakhstan A. Yassawi International Kazakh-Turkish University Turkistan Kazakhstan International Information Technology University Kazakh-British Technical University Almaty Kazakhstan M.Auezov South Kazakhstan University Shymkent Kazakhstan

ISBN: (纸本)9781665439275

Currently, there is a growing number of online bullying, attacks, and propaganda of prohibited materials over the Internet. the main means of exchanging information, selecting and promoting personnel for such structures is the Internet, namely web resources, social networks and e-mail. In this regard, the task of identifying, identifying communication topics, connections, as well as monitoring behavior and predicting threats emanating from individual users, groups and network communities that generate and distribute information of a bullying network on the Internet. the article is devoted to the research and data mining related to the topic of detecting bullying on the Internet. the study examines the development of the data set aimed to train the machine learning algorithms in the Kazakh language and marking them as con-sist of bullying phrasesor not. © 2021 IEEE.

关键词： Machine 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344页 << < 60 61 62 63 64 65 66 67 68 69 > >>

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：