检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,258 篇 会议
268 篇 期刊文献

馆藏范围

1,526 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

769 篇 工学
- 599 篇 计算机科学与技术...
- 519 篇 软件工程
- 195 篇 信息与通信工程
- 152 篇 控制科学与工程
- 128 篇 电气工程
- 115 篇 生物医学工程（可授...
- 114 篇 生物工程
- 82 篇 光学工程
- 80 篇 电子科学与技术（可...
- 68 篇 网络空间安全
- 66 篇 安全科学与工程
- 56 篇 机械工程
- 52 篇 仪器科学与技术
- 51 篇 交通运输工程
- 40 篇 化学工程与技术
426 篇 理学
- 207 篇 数学
- 130 篇 生物学
- 116 篇 物理学
- 85 篇 统计学（可授理学、...
- 60 篇 化学
- 38 篇 系统科学
246 篇 管理学
- 164 篇 管理科学与工程(可...
- 101 篇 图书情报与档案管...
- 94 篇 工商管理
141 篇 医学
- 108 篇 临床医学
- 107 篇 基础医学(可授医学...
- 86 篇 公共卫生与预防医...
- 58 篇 药学(可授医学、理...
57 篇 法学
- 49 篇 社会学
46 篇 经济学
- 46 篇 应用经济学
37 篇 农学
20 篇 教育学
7 篇 文学
3 篇 艺术学
1 篇 哲学
1 篇 历史学
1 篇 军事学

主题

185 篇 accuracy
119 篇 real-time system...
115 篇 deep learning
82 篇 machine learning
82 篇 convolutional ne...
77 篇 predictive model...
75 篇 training
69 篇 feature extracti...
59 篇 support vector m...
59 篇 computational mo...
56 篇 internet of thin...
55 篇 machine learning...
54 篇 medical services
53 篇 data models
50 篇 optimization
47 篇 reviews
41 篇 reliability
41 篇 prediction algor...
39 篇 artificial intel...
36 篇 technological in...

机构

50 篇 nitte meenakshi ...
42 篇 department of ar...
39 篇 lovely professio...
31 篇 department of co...
21 篇 department of ar...
19 篇 east west instit...
19 篇 department of co...
18 篇 department of ar...
18 篇 division of arti...
17 篇 department of ar...
17 篇 machine learning...
16 篇 new horizon coll...
15 篇 college of techn...
15 篇 department of ar...
13 篇 institute of aer...
12 篇 artificial intel...
12 篇 datta meghe inst...
12 篇 department of ar...
12 篇 division of comp...
12 篇 vector institute...

作者

42 篇 prateek verma
42 篇 piyush kumar par...
41 篇 pareek piyush ku...
29 篇 mohsen guizani
28 篇 verma prateek
17 篇 guizani mohsen
14 篇 uma reddy
14 篇 swapnil gundewar
13 篇 amandeep nagpal
12 篇 aditya barhate
12 篇 madhura g.k.
11 篇 utkarsha pachara...
11 篇 xiaojiang du
11 篇 abhay tale
11 篇 rushikesh burle
10 篇 tale abhay
10 篇 reddy uma
10 篇 sundaravadivel p...
9 篇 von lilienfeld o...
9 篇 n v uma reddy

语言

1,282 篇 英文
241 篇 其他
3 篇 中文

检索条件"机构=Artificial Intelligence and Machine Learning Faculty of Engineering and Technology"

共 1526 条记录，以下是351-360 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：

How Robotic Process Automation and Blockchain can Work Together?

How Robotic Process Automation and Blockchain can Work Toget...

引用

2024 International Conference on E-Mobility, Power Control and Smart Systems, ICEMPS 2024

作者： Yendluri, Dileep Kumar Ponnala, Jainath Thatikonda, Ramya Kempanna, M. Tatikonda, Reshmi Bhuvanesh, A. University of The Cumberlands Williamsburg United States Jawaharlal Technological University Hyderbad India Bangalore Institute of Technology Department of Artificial Intelligence and Machine Learning Karnataka Bengaluru India University of The Central Missouri Warrensburg United States Psn College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu Tirunelveli India

ISBN: (纸本)9798350394399

Exploring the complex terrain of RPA and blockchain integration, this paper uncovers the possibility of groundbreaking results in various sectors. Integrating these innovative technologies creates a historical chance to intensify efficiency, ensure data security, and promote visibility across various organizational processes. Although this synergy comes with technical challenges requiring complete solutions, the paper pinpoints primary difficulties with an exhaustive analysis of technology stacks, data standardization, scalability, smart contract integration, privacy, interoperability, change management, evolving skill sets, and cost elements. An in-depth investigation highlights the vital roles of collaboration, innovation, and interdisciplinary expertise in addressing the challenges. This paper offers a holistic perspective on the obstacles and solutions associated with integrating RPA and blockchain, empowering organizations to execute this integration and unlock its groundbreaking potential seamlessly. © 2024 IEEE.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Vehicle Prediction for BUS Identification Output from our Route Testing Real Time Algorithm 5

Vehicle Prediction for BUS Identification Output from our Ro...

引用

5th International Conference on Sustainable Communication Networks and Application, ICSCNA 2024

作者： Misba, M. Ramya, R. Dickson, Joel Sharmila, L. Kavitha, J. Udayakumar, K. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Artificial Intelligence and Machine Learning Tamil Nadu India St. Joseph's College of Engineering Department of Artificial Intelligence and Data Science Chennai India Bethlehem Institute of Engineering Tamil Nadu Karungal India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu India

ISBN: (纸本)9798331530013

Traffic generation in Indian cities is of a mixed nature, comprising over a dozen types of vehicles that can be broadly categorized into slow-moving and fast-moving vehicles. This study highlights the challenges associated with the inefficient operation of the existing bus system. GPS and mobile networks form integral components of the current system, enabling data storage and management using PostgreSQL. The system provides robust and reliable data to fulfill requests from other software applications. Operating on cloud platforms, it is compatible with all major web browsers. The proposed algorithm continuously tracks the real-time location of buses and their corresponding WMS (Web Map Service) location, alerting users through marker notifications. This paper also explores measures to evaluate the efficiency and effectiveness of bus services. Recognizing that an inadequate public transport system impedes economic growth and development, this study emphasizes the need to enhance the overall quality and accessibility of public transportation. The findings aim to improve the operational efficiency of bus services, contributing to a more effective and sustainable transport system. © 2024 IEEE.

关键词： Buses

来源：评论

学校读者我要写书评

暂无评论

Real-Time Weapons Detection System using Computer Vision 3

Real-Time Weapons Detection System using Computer Vision

引用

3rd International Conference on Smart Technologies, Communication and Robotics, STCR 2023

作者： Nale, Pranav Gite, Shilpa Dharrao, Deepak Symbiosis Institute of Technology Department of Information Technology Maharashtra Pune412115 India Symbiosis Institute of Technology Department of Artificial Intelligence and Machine Learning Maharashtra Pune412115 India Symbiosis Institute of Technology Department of Computer Science and Engineering Maharashtra Pune412115 India

ISBN: (纸本)9798350370867

The growing use of Closed-Circuit Television (CCTV) systems in modern security applications has driven the need for automated surveillance through computer vision. The primary aim is to reduce human intervention while enhancing early threat detection and real-time security assessments. Although advanced surveillance technologies have facilitated monitoring, constant human oversight remains challenging. This has prompted a quest for models capable of identifying unlawful activities with minimal human involvement. Real-time weapon detection, despite advancements in deep learning algorithms and dedicated CCTV cameras, remains a formidable challenge, especially with varying angles and potential obstructions. Existing detection systems are often expensive and require specialized tools, necessitating a cost-effective and reliable alternative that minimizes false positives. This research focuses on creating a secure environment by utilizing real-time resources and deep-learning algorithms for identifying dangerous weapons. Without a predefined dataset for real-time detection, the researchers compiled one from diverse sources, including camera shots, internet images, movie data, YouTube CCTV recordings, and Roboflow Computer Vision Datasets. The proposed weapon detection system employs a hybrid model of Detectron2 and YOLOv7, emphasizing precision and recall in object detection, particularly in challenging conditions like lowlight environments. This research contributes to developing an effective, reliable real-time weapon detection system tailored for diverse scenarios. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Revamping Primary Programming Education with Augmented Reality Teaching via EnvisionAR

Revamping Primary Programming Education with Augmented Reali...

引用

Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), International Conference on

作者： S H Annie Silviya R Anitha P Gayathri N Hiranmaie R Harini D Hareene Computer Science and Engineering Rajalakshmi Institute of Technology Chennai India Artificial Intelligence and Machine Learning Rajalakshmi Engineering college Chennai India

This study introduces a transformative approach to primary programming education, leveraging Augmented Reality (AR) teaching methodologies through the innovative EnvisionAR platform. In response to the dynamic technological landscape, this research addresses the need for engaging, immersive learning experiences for young learners. The EnvisionAR platform, a pioneering fusion of AR technology and tailored curriculum, caters to the cognitive development stages of primary school students. By seamlessly integrating virtual elements into the physical environment, students engage in interactive, hands-on learning that cultivates creativity, problem solving skills, and a profound understanding of programming concepts. This research signifies a broader potential for AR integration in diverse educational disciplines.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Question Answering FAQ Bot Using Natural Language Processing 11th

Question Answering FAQ Bot Using Natural Language Processing

引用

11th International Conference on Intelligent Computing and Applications, ICRTC 2023

作者： Vijay, K. Sowmia, K.R. Ravikumar, S. Arockia Raj, Y. Department of Computer Science and Engineering Rajalakshmi Engineering College Chennai India Department of Artificial Intelligence and Machine Learning Rajalakshmi Engineering College Chennai India Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Computer Science and Engineering PSNA College of Engineering and Technology Dindigul India

ISBN: (纸本)9789819717231

The BOT retorts with the precise results that help the user for the query and also requests them to rate the response to provide better results. The [frequently answered questions] BOT is a program developed through machine learning and natural language processing. It classifies the queries and results as key-value pairs and maps the response to the user query. It extricates itself by providing additional capabilities such as NLU processes and reinforcement learning. NLU helps the bot to make it convenient for an array of languages to meet the diverse expectations. Reinforcement learning retrieves user rating to provide better performance and search results. The project was developed due to a concern about fetching meticulous responses for specific service-related queries. The overall satisfaction rate of users in getting responses to the questions they post is devastating. The root cause for the proposed project has aimed at providing an environment for a people to find their answers at better accuracy and also respond to their satisfaction. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Securing the Digital Data using SFLA based Deep Convolutional Neural Network in Medical Network Environment 2

Securing the Digital Data using SFLA based Deep Convolutiona...

引用

2nd International Conference on Data Science and Information System, ICDSIS 2024

作者： Murthy, G. N. Keshava Achyutha Prasad, N. Pareek, Piyush Kumar Zanke, Pankaj Patil, Madhu Siddaganga Institute Of Technology Department Of Electronics And Instrumentation Engineering Karnataka Tumakuru India East West Institute Of Technology Department Of Computer Science And Engineering Bengaluru India Nitte Meenakshi Institute Of Technology Artificial Intelligence And Machine Learning Bengaluru India Sapiens International Corporation Senior Technical Business Analyst Israel Bgs College Of Engineering And Technology Department Of Ece Bangalore India

ISBN: (纸本)9798350381665

As a result of the rapid development of multimedia in relation to network knowledge, accessing digital material has become relatively straightforward. Therefore, more emphasis on picture watermarking is required for IP protection. For this reason, many picture watermarking techniques were developed;nevertheless, they suffer from a lack of transparency and are not as sturdy. Multimedia copyright protection is very important in the field of digital watermarking. Digital picture watermarking is the process of secretly removing a watermark and inserting it into a carrier image. The success of digital watermarking in protecting digital data has attracted a lot of academic interest recently. There has been a lot of recent focus on using deep learning networks in tandem with wavelet-oriented strategies for picture watermarking. However, these benefits cannot be provided by traditional watermarking methods, which need manual methods for both extraction and embedding. In light of this problem, this research is driven to present a unique deep learning-based wavelet-based method for producing watermarked pictures with increased invisibility. A newly created Convolutional Neural Networks (CNN) model with medical pictures, and the deep features are retrieved utilising its fully connected layers. Next, the Shuffled frog-leaping algorithm (SFLA) is used to train the model, which ultimately results in higher quality classifications. The experimental results validate that the suggested model outperformed the baseline on a number of different measures, PSNR. In F (228 × 344) dataset thevWatermark1 ratio the speckle noise reach as 0.9950 and then gaussian noise reach as 0.9924 and then salt and peper noise reaches as 0.9972 respectively. And then the Watermark2 ratio the speckle noise reach as 0.9950 and then gaussian noise reach as 0.9924 and then salt and peper noise reaches as 0.9972 respectively. © 2024 IEEE.

关键词： Image watermarking

来源：评论

学校读者我要写书评

暂无评论

Movie Recommendation System Using Hybrid Based Method

Movie Recommendation System Using Hybrid Based Method

引用

Automation and Computation (AUTOCOM), International Conference on

作者： Khushi Kamble Pradnyanand Bhadarge Shreejit Bhakte Omkaresh Kulkarni Rutuja Kadam Latika Pinjarkar Computer Science and Engineering - Artificial Intelligence and Machine Learning Department Vishwakarma Institute of Information Technology Pune India Department of CSE (Artificial Intelligence and Machine Learning) Vishwakarma Institute of Information Technology Pune Maharashtra Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

The rise of digital platforms has increased user engagement and satisfaction through personalized recommendation systems. The research paper presents a hybrid approach to movie recommendation, which uses content-based filtering and collaborative filtering techniques to mitigate the cold start problem, data sparsity, and scalability issues. The proposed system will utilize methodologies from machine learning, such as cosine similarity and vectorization, and the K-Nearest Neighbors (KNN) algorithm, for recommending movies based on their precise and personalized values. The dataset TMDB5000 will then be used for two datasets involving movie features, cast, and crew information while preprocessing techniques in cleaning, feature extraction, and merging are undertaken to ensure robust foundation for the model building. The hybrid model uses the bag-of-words technique to vectorize and compute cosine similarity to determine movies' relationships in a multidimensional space. The KNN algorithm then refines the collaborative filtering process by the clustering of user preferences and makes recommendations using nearest-neighbor analysis. Our current approach overcomes these weaknesses by combining both content-based and collaborative methods, resulting in a system which handles diverse user preferences while maintaining high recommendation accuracy. As the evaluation of precision, recall, F1-score, and mean squared errors further validates that this system performance is good and also scalable and efficient for processing large datasets for which it explains some practical aspects related to implementation in real time. The future work includes deep learning models like neural collaborative filtering to further improve semantic understanding and recommendation accuracy. This paper addresses the current system's limitations by proposing a novel, efficient, and user-centric hybrid approach, which can be extended to other domains, such as e-commerce, music, and book recommendati

关键词： Deep learning Accuracy Filtering Collaborative filtering Scalability Semantics Nearest neighbor methods Motion pictures Real-time systems Recommender systems

来源：评论

学校读者我要写书评

暂无评论

Kolmogorov Arnold Network for Hyperspectral Image Classification: A Detailed Explanation

Kolmogorov Arnold Network for Hyperspectral Image Classifica...

引用

artificial intelligence in Education and Industry 4.0 (IDICAIEI), DMIHER International Conference on

作者： Saurabh Suman Utkarsha Pacharaney Vishal Kumar Choudhary Rahul Raushan Abhishek Kumar Gulshan Kumar Department of Computer Science and Design Faculty of Engineering and Technology Wardha Maharashtra India Department of Artificial Intelligence and Machine Learning Faculty of Engineering and Technology Wardha Maharashtra India Department of Computer Science and Medical Engineering Faculty of Engineering and Technology Wardha India

ISBN: (数字)9798331528713

ISBN: (纸本)9798331528720

Hyperspectral imaging (HSI) has been proved to be useful in numerous fields because of its ability to acquire the spectral information across the hundreds of contiguous bands. Nevertheless, the vast dimensionality of the hyperspectral data presents a great problem especially during data processing as well as during classification. Recently, one of the techniques that have attracted most interest for the classification of hyperspectral images is Kolmogorov Arnold Network (KAN), which is efficient with regard to those high-dimensional non- linear data sets found in hyperspectral imagery. This study focuses on how KAN can be utilized for classifying hyperspectral images, how B-spline curves can be used for augmenting the performance of the model, and what experimentation was done with the state-of-the-art hyperspectral data set. From these results, it was established that KAN plus B-spline curves was a good strategy for hyperspectral images classification compared to existing systems in both accuracy and speed.

关键词： Industries Education Medical services Data processing Data models Robustness Splines (mathematics) Optimization Hyperspectral imaging Image classification

来源：评论

学校读者我要写书评

暂无评论

Deep learning-Based Dynamic Scheduling for Semiconductor Manufacturing with High Uncertainty of Automated Material Handling System Capability 2

Deep Learning-Based Dynamic Scheduling for Semiconductor Man...

引用

2nd International Conference on Data Science and Information System, ICDSIS 2024

作者： Dineshkumar, R. Al-Attabi, Kassem Kumar, Komuravelly Sudheer Madhura, G.K. Sharma, Jaya Saveetha Institute Of Medical And Technical Sciences Saveetha University Saveetha School Of Engineering Department Of Ece Chennai India The Islamic University College Of Technical Engineering Department Of Computers Techniques Engineering Najaf Iraq Sr University School Of Computer Science & Artificial Intelligence Telangana Warangal India Nitte Meenakshi Institute Of Technology Department Of Artificial Intelligence And Machine Learning Bengaluru India Gitam University Department Of Cse Bengaluru India

ISBN: (纸本)9798350381665

To improve the dynamic responsiveness and production efficiency of manufacturing workshops to personalized orders, a multi-agent manufacturing system. However, the previous methods cannot work well in a changeable workshop environment when encountering a large number of stochastic disturbances of orders and resources. Develop a robust scheduling approach for dynamic workshop environments, effectively managing stochastic disturbances in orders and resources to optimize production efficiency and minimize disruptions. Dynamic scheduling approach for semiconductor manufacturing using Proximal Policy Optimization (PPO) and Autoencoder (AE) for feature extraction, defining state space to capture task and production attributes. Action space design employs dispatching rules for operation selection, while the reward function adapts production to demand, trained in action and state phases. Autoencoders compress high-dimensional input data into a lower-dimensional latent space while preserving important features. The obtained results demonstrate that the proposed method achieves better performance Delivery Data Rate (DDR) of 41.20 %, Mean Cycle Time (MCT) of 51.66%, Mean of 12.85%, and Execution time of 5.07s. These results ensure superior dynamic scheduling performance compared to other existing methods, such as Dynamic Scheduling Using Flexible Job Shop Scheduling problem (FJSP), and Multiple-DynamicScheduling-Rule (MDSR). © 2024 IEEE.

关键词： Production efficiency

来源：评论

学校读者我要写书评

暂无评论

A Novel Namib Beetle Optimization Approach for Minimizing CO2 Emissions in Electric Vehicle Charging Integrated with Renewable Energy Sources 3

A Novel Namib Beetle Optimization Approach for Minimizing CO...

引用

3rd International Conference on Automation, Computing and Renewable Systems, ICACRS 2024

作者： Adline priya, G. Kavithamani, K. Anupriya, K. Saranya, S. Kaliappan, S. Siva Ramkumar, M. Department of Electrical and Electronics Engineering Karpagam College of Engineering Tamilnadu Coimbatore641032 India Department of Artificial Intelligence and Machine learning Hindusthan College of Engineering and Technology Tamilnadu Coimbatore641050 India Department of Information and Technology Sri Krishna College of Technology Tamilnadu Coimbatore641042 India Department of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore India Dept of ECE SNS College of Technology India

ISBN: (纸本)9798331532420

Integrating electric vehicles (EVs) with renewable energy sources (RESs) can lead to increased costs due to the need for advanced infrastructure and control systems, which may deter investment in clean technologies. Additionally, if the grid still relies on fossil fuels during periods of low renewable generation, the overall CO2 emissions may not decrease significantly, undermining the environmental benefits of EV adoption. In an effort to eliminate these drawbacks, this manuscript develops an approach to implementing charging of EVs using RESs. Namib Beetle Optimization (NBO) is the proposed method of this research. The major aim of the proposed method is to minimize the cost of charging of EV and at the same time minimize CO2 emission. The proposed NBO is employed so as to control and maximize the charging and discharging rate of the EV. At that time the proposed technique is implemented in MATLAB and performance is compared with several other techniques. The proposed technique is better than all the previous techniques like IALO, GA, MWOA, JMVO, and BESA for countering the threats effectively. The results demonstrate that the proposed method significantly outperforms traditional methods, effectively reducing costs of EV charging as $7,500 and CO2 emissions as 60.5ppm. © 2024 IEEE.

关键词： Windmill

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153页 << < 32 33 34 35 36 37 38 39 40 41 > >>

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：