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

9,270 篇 会议
8,216 篇 期刊文献
103 册 图书

馆藏范围

17,589 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,850 篇 工学
- 8,179 篇 计算机科学与技术...
- 6,872 篇 软件工程
- 2,649 篇 信息与通信工程
- 1,795 篇 生物工程
- 1,451 篇 控制科学与工程
- 1,282 篇 电气工程
- 1,193 篇 生物医学工程（可授...
- 1,019 篇 光学工程
- 889 篇 电子科学与技术（可...
- 589 篇 机械工程
- 535 篇 化学工程与技术
- 451 篇 网络空间安全
- 438 篇 交通运输工程
- 429 篇 动力工程及工程热...
- 413 篇 仪器科学与技术
- 412 篇 安全科学与工程
6,494 篇 理学
- 3,260 篇 数学
- 2,044 篇 生物学
- 1,726 篇 物理学
- 1,252 篇 统计学（可授理学、...
- 661 篇 化学
- 591 篇 系统科学
3,130 篇 管理学
- 1,774 篇 管理科学与工程(可...
- 1,493 篇 图书情报与档案管...
- 894 篇 工商管理
1,134 篇 医学
- 949 篇 临床医学
- 859 篇 基础医学(可授医学...
- 517 篇 药学(可授医学、理...
- 489 篇 公共卫生与预防医...
565 篇 法学
- 483 篇 社会学
337 篇 经济学
274 篇 农学
174 篇 教育学
58 篇 文学
32 篇 军事学
22 篇 艺术学
2 篇 哲学
2 篇 历史学

主题

675 篇 deep learning
613 篇 accuracy
440 篇 feature extracti...
437 篇 machine learning
399 篇 computational mo...
386 篇 training
329 篇 predictive model...
325 篇 real-time system...
295 篇 semantics
261 篇 internet of thin...
242 篇 optimization
226 篇 support vector m...
221 篇 convolutional ne...
200 篇 reinforcement le...
193 篇 neural networks
187 篇 data mining
187 篇 data models
163 篇 image segmentati...
147 篇 reliability
142 篇 artificial intel...

机构

426 篇 department of ph...
397 篇 iccub universita...
376 篇 horia hulubei na...
364 篇 h.h. wills physi...
308 篇 university of ch...
293 篇 nikhef national ...
290 篇 van swinderen in...
290 篇 imperial college...
289 篇 school of physic...
289 篇 center for high ...
285 篇 department of ph...
285 篇 physik-institut ...
285 篇 oliver lodge lab...
285 篇 physikalisches i...
283 篇 cavendish labora...
283 篇 stfc rutherford ...
283 篇 school of physic...
283 篇 school of physic...
282 篇 institute of par...
279 篇 departamento de ...

作者

250 篇 barter w.
241 篇 beiter a.
236 篇 bellee v.
222 篇 casse g.
214 篇 bowcock t.j.v.
214 篇 blake t.
204 篇 brundu d.
200 篇 borsato m.
199 篇 betancourt c.
165 篇 bediaga i.
159 篇 niyato dusit
157 篇 baker s.
151 篇 amato s.
148 篇 baryshnikov f.
148 篇 boettcher t.
144 篇 albrecht j.
143 篇 a. jawahery
143 篇 m. gandelman
143 篇 t. gershon
143 篇 r. mountain

语言

15,632 篇 英文
1,862 篇 其他
121 篇 中文
4 篇 德文
4 篇 法文
2 篇 斯洛文尼亚文
2 篇 土耳其文
1 篇 朝鲜文
1 篇 俄文

检索条件"机构=Computer Science and Engineering with Data Science"

共 17589 条记录，以下是4431-4440 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：

RECURSIVE DISENTANGLEMENT NETWORK 10

RECURSIVE DISENTANGLEMENT NETWORK

引用

10th International Conference on Learning Representations, ICLR 2022

作者： Chen, Yixuan Shi, Yubin Li, Dongsheng Wang, Yujiang Dong, Mingzhi Zhao, Yingying Dick, Robert Lv, Qin Yang, Fan Shang, Li China and Shanghai Key Laboratory of Data Science School of Computer Science Fudan University Shanghai China Microsoft Research Asia Shanghai China Department of Computing Imperial College London London United Kingdom Department of Electrical Engineering and Computer Science University of Michigan Michigan United States Department of Computer Science University of Colorado Boulder Boulder United States School of Microelectronics Fudan University Shanghai China

Disentangled feature representation is essential for data-efficient learning. The feature space of deep models is inherently compositional. Existing β-VAE-based methods, which only apply disentanglement regularization to the resulting embedding space of deep models, cannot effectively regularize such compositional feature space, resulting in unsatisfactory disentangled results. In this paper, we formulate the compositional disentanglement learning problem from an information-theoretic perspective and propose a recursive disentanglement network (RecurD) that propagates regulatory inductive bias recursively across the compositional feature space during disentangled representation learning. Experimental studies demonstrate that RecurD outperforms β-VAE and several of its state-of-the-art variants on disentangled representation learning and enables more data-efficient downstream machine learning tasks. © 2022 ICLR 2022 - 10th International Conference on Learning Representationss. All rights reserved.

关键词： Information theory

来源：评论

学校读者我要写书评

暂无评论

Implications of Brewer's Rule in data Warehouse Design 7

Implications of Brewer's Rule in Data Warehouse Design

引用

7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023

作者： Raman, Ramakrishnan Peter, John Benito Jesudasan Gokhale, Atul A Manikandan, J. Ganesh, E.N. Srinivasan, C. Maharashtra Pune India Capital One Services Llc Cyber | Data Science & Engineering RichmondVA United States Symbiosis School of Culinary Arts Maharashtra Pune India Hindusthan College of Engineering and Technology Department of Mechanical Engineering Tamil Nadu Coimbatore India Department of Electronics and Communication Engineering Tamil Nadu Chennai India Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350341485

Distributed systems cannot achieve consistency, availability, and partition tolerance, according to Brewer's Rule (CAP theorem). Brewer's Rule affects distributed data warehouses. Brewer's Rule improves data warehouse architecture, according to this study. database research Brewer's Rule reliability, accessibility, and tolerance for partitions. Consistency - the condition that all distributed system nodes access the same data simultaneously - is examined. Distributed transactions, two-phase commit, and consensus methods let data warehouses achieve consistency. A distributed system must be available even if some nodes fail, the study says. Replication, load balancing, and failover provide high availability in data warehouses. Finally, partition tolerance - the need for a distributed system to operate after network partitions - is examined. data sharding, distributed caching, and data replication help data warehousing systems achieve partition tolerance. Brewer's Rule helps improve data warehouse architecture for use cases and business needs. The study also discusses trade-offs companies must make when improving consistency, availability, and partition tolerance. To maintain dependable and performant data warehousing solutions, organizations must balance these trade-offs. Organizations designing and implementing distributed data warehouses must consider Brewer's Rule. Organizations may construct high-performing, dependable data warehouse systems that fulfill their business needs by understanding how consistency, availability, and partition tolerance affect data warehouse architecture. © 2023 IEEE.

关键词： data warehouses

来源：评论

学校读者我要写书评

暂无评论

Understanding Student Behavior and Learning Patterns through Video Analysis: A Comprehensive Literature Review

Understanding Student Behavior and Learning Patterns through...

引用

Emerging Techniques in Computational Intelligence (ICETCI), International Conference on

作者： Jyoti Gadad Madhu Asundi Vijayalakshmi M Preethi Baligar Centre for Engineering Education Research KLE Technological University Hubballi India Data Science and Intelligent Systems IIIT Ittigatti Dharwad India School of Computer Science and Engineering KLE Technological University Hubballi India

ISBN: (数字)9798350387063

ISBN: (纸本)9798350387070

Technology-enhanced learning (TEL) has emerged as a powerful approach to facilitate and enhance learning experiences in diverse educational settings. The integration of TEL tools enables the collection of real-time and longitudinal data. Technology-enhanced learning provides the digital infrastructure and tools that enable educators to collect and process diverse data. It is fundamental for successfully implementing Multi-modal Learning Analytics (MMLA) in understanding student learning patterns. This literature paper presents a comprehensive review of research at the intersection of MMLA, video analytics, human gesture, and their relation to behavior and learning patterns. This study explores how video analysis techniques capture and analyze human gestures, revealing insights into underlying behavioral dynamics and learning patterns. This study conducts a scoping review of relevant literature from diverse fields such as computer science, education, human-computer interaction, and medical science. The authors utilized LitMap, a comprehensive search strategy to identify pertinent literature. In education context, understanding the role of gestures in learning can inform the development of instructional strategies that optimize knowledge acquisition and retention. By studying patterns in human gestures and behavior, particularly in the education context, researchers can gain insights into students' engagement, cognitive processes, and learning strategies. This scoping review presents an in-depth survey of research encompassing video analytics, human gestures, and their interplay with behavior and learning patterns. The study delves into the behavioral factors that impact student learning and explores how educators can leverage them to enhance their teaching practices.

关键词： Surveys Human computer interaction Reviews Visual analytics Knowledge acquisition Face recognition Education Search problems Real-time systems Behavioral sciences

来源：评论

学校读者我要写书评

暂无评论

GCAT: Gated Convolutional Attention Transformer for Efficient Image Super-Resolution

GCAT: Gated Convolutional Attention Transformer for Efficien...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Zhijian Wu Kaiyi Feng Dingjiang Huang School of Data Science and Engineering East China Normal University Shanghai China School of Control and Computer Engineering North China Electric Power University Hebei China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Recently, Transformer-based methods have achieved impressive performance in many computer vision tasks (e.g., image super-resolution (SR)) due to the advantages of long-range modeling. However, the computational cost requirement renders these methods unsuitable on resource-constrain devices, especially for image SR tasks involving high-resolution images. In this paper, we propose a concise and effective Gated Convolutional Attention Unit (GCAU) that uses cheap convolutional operations. Specifically, GCAU consists of Convolutional Transposed Attention (CTA) and Locally-enhanced Gating (LeG) in parallel. The former allows for efficient modeling of the global relational interactions by calculating cross-covariance across channels dimension, while the latter controls the information flow from the former directing the network to focus on more refined image attributes. Without bells and whistles, we present a simple SR Transformer GCAT by cascading the GCAUs. Extensive experimental results demonstrate that our GCAT achieves state-of-the-art performance among the existing efficient SR methods with significantly less complexity. Especially, GCAT is on average 5× faster than SwinIR-light with comparable performance.

关键词： Legged locomotion Performance evaluation computer vision Convolution Computational modeling Superresolution Logic gates Transformers Speech processing Signal resolution

来源：评论

学校读者我要写书评

暂无评论

VIKAS: A Multimodal Framework to Aid in Effective Disaster Management 13th

VIKAS: A Multimodal Framework to Aid in Effective Disaster M...

引用

13th International Conference on Applications and Techniques in Information Security, ATIS 2022

作者： Prabhu, Gautham Manuru Gupta, Tanay Srujan, Metta Venkata Soumya, A.R. Palorkar, Anshita Chowdhury, Anurag Department of Computer Science and Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576104 India Department of Data Science and Computer Applications Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576104 India Department of Information and Communication Technology Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576104 India

ISBN: (纸本)9789819922635

In the event of a disaster, social media is often used to draw attention to affected areas and distressed people. The massive population and diversity in Indian languages warrant a novel real-time, big-data solution that can increase situational awareness, reduce special forces’ response time, and expedite decision-making. The proposed solution, VIKAS, streams text, images, videos, and audio from posts on microblogging platforms using keywords. It then uses the Google Translate and Transliteration APIs to handle multilingual and macaronic hybrid text, including Hinglish. An Apache Kafka event pipeline processes the sheer volume of posts asynchronously. Duplicate, uninformative, or bot-posted data (checked using the Botometer machine learning algorithm) is discarded. Scraped data is also verified through Google’s FactCheck Explorer API. Audio and video clips are processed leveraging speech-to-text methods. The solution incorporates a BERT pre-trained model and word embeddings for natural language processing tasks, including sentiment analysis and classification of textual data. Image classification and object identification are implemented using a ResNet deep learning model. This multimodal approach pinpoints locations using nearby landmarks, severity, and type of support needed, ranging from humanitarian aid and rescue relief to infrastructure damage. Easy-to-interpret visualizations on an accessible dashboard consolidate many details that can streamline resource distribution and personnel deployment. VIKAS was presented to the National Disaster Response Force at the national-level finals of the Smart India Hackathon 2022. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Exploiting Multiple Features for Hash Codes Learning with Semantic-Alignment-Promoting Variational Auto-encoder 12th

Exploiting Multiple Features for Hash Codes Learning with Se...

引用

12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023

作者： Chen, Jiayang Su, Qinliang School of Computer Science and Engineering Sun Yat-Sen University Guangzhou China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Beijing China

ISBN: (纸本)9783031446924

Semantic hashing is an effective technique to empower information retrieval. Currently, considerable efforts have been dedicated to generating high-quality hash codes by modeling document features using generative models and other approaches. However, most of these methods rely solely on a single type of feature, such as TFIDF features, BERT embeddings, etc. As different types of features have distinct but complementary information of documents, e.g. TFIDF mainly contains the keywords information and BERT focuses on the semantics, hash codes generated solely from either may not capture the full essence of the documents. To overcome this challenge, we propose a semantic-alignment-promoting variational auto-encoder to generate hash codes from multiple document features. Specifically, a VAE-based generative model is first developed to model the multiple features. Then, we propose a semantic-alignment-promoting inference network to estimate the parameters of the variational posterior from multiple features. Additionally, the quality of hash codes is further improved by promoting the semantic alignment between the hash codes of connected documents in a constructed connection graph. The results of extensive experiments on three public datasets demonstrate that our proposed model significantly outperforms current state-of-the-art models. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Large-scale group decision-making method based on knowledge differentiation and the grouping of alternatives into modifiable scenarios 9th

Large-scale group decision-making method based on knowledge ...

引用

9th International Conference on Information Technology and Quantitative Management, ITQM 2022

作者： Trillo, José Ramón Herrera-Viedma, Enrique Higueras-Ruiz, María José Alonso, Sergio Morente-Molinera, Juan Antonio Cabrerizo, Francisco Javier Department of Computer Science and Artificial Intelligence Andalusian Research Institute of Data Science and Computational Intelligence DaSCI University of Granada Granada18071 Spain Department of Information and Communication University of Granada Granada18071 Spain Department of Software Engineering Andalusian Research Institute in Data Science and Computational Intelligence DaSCI University of Granada Granada18071 Spain

Nowadays, group decision-making is an everyday event, since we usually live in a community. Nevertheless, when the number of participants is large, it starts to generate a lot of information that is complex to manage, and unlike group decision-making, where the participants are usually experts, when the number of participants increases, not all of them are, which generates a conflict of interest because the value of the vote of an expert and a (non-expert) user is worth the same. Moreover, it may happen that not all participants who start a process will finish it and not all of them will be able to make all the assessments, since they do not know all the options. Therefore, to solve all the drawbacks, this paper presents a large-scale group decision-making system in a modifiable scenario environment that groups participants according to their preferred alternative and also performs knowledge differentiation, clustering them into experts and users. This allows for optimising the consensus process, as the consensus is made by comparing the clusters and the participants with each other. © 2022 The Authors. Published by Elsevier B.V.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Minimum Separator Reconfiguration 18

Minimum Separator Reconfiguration

引用

18th International Symposium on Parameterized and Exact Computation, IPEC 2023

作者： Gomes, Guilherme C. M. Legrand-Duchesne, Clément Mahmoud, Reem Mouawad, Amer E. Okamoto, Yoshio Dos Santos, Vinicius F. Van Der Zanden, Tom C. Department of Computer Science Federal University of Minas Gerais Belo Horizonte Brazil LaBRI CNRS Université de Bordeaux France Virginia Commonwealth University RichmondVA United States Department of Computer Science American University of Beirut Beirut Lebanon Graduate School of Informatics and Engineering The University of Electro-Communications Chofu Japan Department of Data Analytics and Digitalisation Maastricht University Netherlands

ISBN: (纸本)9783959773058

We study the problem of reconfiguring one minimum s-t-separator A into another minimum s-tseparator B in some n-vertex graph G containing two non-adjacent vertices s and t. We consider several variants of the problem as we focus on both the token sliding and token jumping models. Our first contribution is a polynomial-time algorithm that computes (if one exists) a minimum-length sequence of slides transforming A into B. We additionally establish that the existence of a sequence of jumps (which need not be of minimum length) can be decided in polynomial time (by an algorithm that also outputs a witnessing sequence when one exists). In contrast, and somewhat surprisingly, we show that deciding if a sequence of at most jumps can transform A into B is an NP-complete problem. To complement this negative result, we investigate the parameterized complexity of what we believe to be the two most natural parameterized counterparts of the latter problem;in particular, we study the problem of computing a minimum-length sequence of jumps when parameterized by the size k of the minimum s-t-separators and when parameterized by the number of jumps. For the first parameterization, we show that the problem is fixed-parameter tractable, but does not admit a polynomial kernel unless NP ⊆ coNP/poly. We complete the picture by designing a kernel with O(2) vertices and edges for the length of the sequence as a parameter. © 2023 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.

关键词： Separators

来源：评论

学校读者我要写书评

暂无评论

Exploring Sampler Strategies in Unsupervised Person Re-identification Training: Insights and Performance Analysis

Exploring Sampler Strategies in Unsupervised Person Re-ident...

引用

IEEE International Symposium on Industrial Electronics (ISIE)

作者： Ge Cao Qing Tang Tran Tien Dat Ashraf Uddin Russo Adri Priadana Kanghyun Jo Department of Electrical Electronic and Computer Engineering University of Ulsan Ulsan Republic of Korea Data Science Group INTERX Ulsan Republic of Korea

ISBN: (数字)9798350394085

ISBN: (纸本)9798350394092

Person re-identification holds significant research value within supervised systems characterized by non-overlapping multiple cameras. In recent years, unsupervised learning has made notable strides and has gradually approached the training efficacy of supervised learning. This paper focuses on exploring the influence and analysis of various sampling strategies on overall unsupervised training. We initially delineate a proxylevel memory bank scheme based on camera labels and employ a hard sample mining strategy for selecting negative pairs in a contrastive learning loss. Various sampling strategies, Random sampling, triplet sampling with dissimilar labels, and group sampling yield markedly distinct outcomes across three large-scale datasets, i.e. Market-1501, DukeMTMC-reID, and MSMT17. Detailed analysis and discussion of these results are provided in this study.

关键词： Training Industrial electronics Supervised learning Buildings Contrastive learning Cameras Performance analysis

来源：评论

学校读者我要写书评

暂无评论

A Intelligent Approach for Fault Detection in Solar Photovoltaic Systems based on BERT-BiGRU Network

A Intelligent Approach for Fault Detection in Solar Photovol...

引用

2023 International Conference on Sustainable Communication Networks and Application, ICSCNA 2023

作者： Hafeezuddin, Mohammed Garapati, Bhagath Vijayakumar, T. Priyanka, G. Chauhan, Amit Vidya, A. Geethanjali College of Engineering and Technology Department of Eee Hyderabad India Geethanjali College of Engineering and Technology Department of Eee Telangana Cheeryal India Dr.Mahalingam College of Engineering and Technology Department of Artificial Intelligence and Data Science Coimbatore India Sri Eshwar College of Engineering Department of Computer Science and Business Systems Coimbatore India Department of Life Sciences Karnataka Bengaluru India K.Ramakrishnan College of Engineering Department of Electronics and Communication Engineering Trichy Samayapuram India

ISBN: (纸本)9798350313987

Large-scale photovoltaic (PV) plant problem identification and diagnosis is expected to grow more difficult in the future as more and more plants of increasing capacity enter into existence. To keep large-scale PV installations safe, reliable, and productive, automatic identification and localization of any mal-operation among thousands of PV modules is necessary. In order to identify problems in PV plants, the suggested method compares the 'residuals' (fault indicator signals) generated by each string to a predetermined threshold. The suggested method relies on three distinct processes: data preparation, feature extraction, and model training. Preprocessing employs the method of Transform Invariant Low-rank Textures (TILT). The most useful and efficient measurements from feature extraction are kept while less important ones are discarded in favor of the Reduced Kernel PCA technique. Let's move on to model training with BERT-BiGRU. The proposed method is clearly superior compared to the two leading options, BERT and GRU. The proposed method had a 97.36% success rate. © 2023 IEEE.

关键词： Gated Recurrent Unit (GRU) Solar photovoltaic (PV) Transform Invariant Low-rank Textures (TILT)

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 << < 440 441 442 443 444 445 446 447 448 449 > >>

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：