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

108,566 篇 会议
15,726 册 图书
11,130 篇 期刊文献
3 篇 学位论文

馆藏范围

135,283 篇 电子文献
170 种 纸本馆藏

日期分布

学科分类号

107,791 篇 工学
- 93,213 篇 计算机科学与技术...
- 66,641 篇 软件工程
- 23,222 篇 信息与通信工程
- 12,587 篇 电气工程
- 8,424 篇 控制科学与工程
- 8,197 篇 生物工程
- 8,082 篇 生物医学工程（可授...
- 6,287 篇 光学工程
- 4,397 篇 电子科学与技术（可...
- 3,941 篇 机械工程
- 3,616 篇 化学工程与技术
- 2,787 篇 建筑学
- 2,351 篇 动力工程及工程热...
- 2,316 篇 土木工程
- 2,018 篇 安全科学与工程
55,721 篇 理学
- 41,103 篇 数学
- 9,552 篇 生物学
- 8,448 篇 物理学
- 7,809 篇 统计学（可授理学、...
- 4,827 篇 系统科学
- 3,126 篇 化学
22,350 篇 管理学
- 13,195 篇 图书情报与档案管...
- 10,160 篇 管理科学与工程(可...
- 6,941 篇 工商管理
5,729 篇 医学
- 5,273 篇 临床医学
- 4,546 篇 基础医学(可授医学...
- 3,132 篇 药学(可授医学、理...
3,700 篇 法学
- 3,134 篇 社会学
2,476 篇 教育学
- 2,434 篇 教育学
2,162 篇 经济学
- 2,156 篇 应用经济学
1,824 篇 农学
171 篇 军事学
107 篇 文学
74 篇 艺术学
17 篇 哲学
2 篇 历史学

主题

8,063 篇 artificial intel...
4,840 篇 computer communi...
3,516 篇 information syst...
2,779 篇 algorithm analys...
2,432 篇 software enginee...
2,006 篇 image processing...
1,992 篇 user interfaces ...
1,974 篇 semantics
1,939 篇 computers
1,923 篇 information stor...
1,665 篇 computer applica...
1,526 篇 pattern recognit...
1,469 篇 data mining and ...
1,433 篇 computer vision
1,426 篇 software enginee...
1,371 篇 database managem...
1,251 篇 distributed comp...
1,225 篇 theory of comput...
1,216 篇 computer circuit...
1,181 篇 computer systems...

机构

202 篇 university of sc...
153 篇 huazhong univers...
151 篇 department of co...
145 篇 institute of inf...
121 篇 department of co...
119 篇 tsinghua univers...
117 篇 shanghai jiao to...
112 篇 national institu...
96 篇 school of comput...
93 篇 chinese academy ...
85 篇 école des ponts ...
83 篇 department of co...
81 篇 university of el...
72 篇 department of co...
72 篇 karnataka bangal...
71 篇 college of compu...
68 篇 school of comput...
67 篇 university of ch...
63 篇 school of comput...
63 篇 college of compu...

作者

73 篇 vardi moshe y.
72 篇 wang lei
60 篇 zhang lei
59 篇 pnueli amir
47 篇 hancock edwin r.
41 篇 huang yueh-min
40 篇 li xin
40 篇 marina l. gavril...
38 篇 man ka lok
37 篇 jiang xiaoyi
37 篇 li yang
36 篇 stuckey peter j.
35 篇 zhang tao
34 篇 yu yong
34 篇 liu bo
33 篇 panayiotis zaphi...
33 篇 jianying zhou
32 篇 peleg david
31 篇 hsu tsan-sheng
31 篇 lee dong chun

语言

126,097 篇 英文
7,546 篇 其他
1,494 篇 中文
283 篇 德文
4 篇 法文
1 篇 加泰罗尼亚文
1 篇 俄文

检索条件"任意字段=Lecture Notes in Computer Science"

共 135425 条记录，以下是4551-4560 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：

Web-Based Mental Health Predicting System Using K-Nearest Neighbors and XGBoost Algorithms 8th

Web-Based Mental Health Predicting System Using K-Nearest Ne...

引用

8th International Visual Informatics Conference, IVIC 2023

作者： Zulkefli, Nurul Farhanaa Diah, Norizan Mat Ismail, Azlan Hanum, Haslizatul Fairuz Mohamed Ibrahim, Zaidah Arif, Yunifa Miftachul School of Computing Sciences College of Computing Informatics and Mathematics Universiti Teknologi MARA Shah Alam Malaysia Informatics Engineering Faculty of Science and Technology Universitas Islam Negeri Maulana Malik Ibrahim Malang Indonesia

ISBN: (纸本)9789819973385

Problems with mental health are common presently and have been a worry for a long time. Mental health problems, like anxiety, depression, and panic attacks, can be caused by numerous things. Therefore, recognising the start of mental disease is becoming increasingly crucial to maintaining a good life balance. This study uses machine learning to identify any possible mental health disorders in an individual to attain this goal. The investigation employed supervised machine learning to predict mental health status, namely K-Nearest Neighbors (KNN) and XGBoost, with performance evaluation criteria including accuracy, precision, recall, and F1 score. When these two algorithms were compared, it was discovered that XGBoost produced a more effective prediction model, which was then employed to develop a web-based mental health prediction system. The web-based method creates a questionnaire for mental health issues. Based on the user’s responses to the questions, the system will predict his or her mental health status as normal, depression, anxiety, stress, loneliness, or regularity. Every component of the system, including buttons and forms, has been successfully tested using functionality tests. Moreover, the system’s advantages, weaknesses, and future study directions are identified. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Nearest neighbor search

来源：评论

学校读者我要写书评

暂无评论

Effect of Face Appearance of a Teacher Avatar on Active Participation During Online Live Class

Effect of Face Appearance of a Teacher Avatar on Active Part...

引用

24th International Conference on Human-computer Interaction, HCI International 2022 (HCII)

作者： Amemiya, Tomohiro Aoyama, Kazuma Ito, Kenichiro Univ Tokyo Virtual Real Educ Res Ctr 7-3-1 Hongo Tokyo 1138656 Japan

ISBN: (纸本)9783031065095;9783031065088

The worldwide outbreak of the COVID-19 pandemic led to many changes in the methods used to impart education, with nearly all university courses in Japan transitioning to an online format, particularly video conferencing of live lectures. Considering the difficulties students face in remaining engaged during online lectures, we propose methods to maximize student participation by displaying a real-time animated avatar of the teacher's face over the lecture slides. Students were presented with photos of different teachers and asked to select whom they would prefer to take a class with, and whom they would not prefer. An open-source deep fake tool was then used to animate the selected photos by following the facial expressions of a teacher in real-time. These animations were superimposed over the lecture slides in an online class. Our experimental results show that students taught by their preferred teacher's animated avatar posted more comments, which was the form of feedback used, compared to when they were taught by a less preferred teacher's avatar on the slides. We speculate that a change in the teacher's avatar influences active student participation in online learning.

关键词： Avatar Deep fake Online lecture

来源：评论

学校读者我要写书评

暂无评论

Ensemble Deep Learning Models for Segmentation of Prostate Zonal Anatomy and Pathologically Suspicious Areas 28th

Ensemble Deep Learning Models for Segmentation of Prostate...

引用

28th Annual Conference on Medical Image Understanding and Analysis, MIUA 2024

作者： Mitura, Jakub Jóźwiak, Rafal Mycka, Jan Mykhalevych, Ihor Gonet, Michal Sobecki, Piotr Lorenc, Tomasz Tupikowski, Krzysztof Laboratory of Applied Artificial Intelligence National Information Processing Institute Warsaw Poland Faculty of Mathematics and Information Science Warsaw University of Technology Warsaw Poland Department of Radiology I The Maria Sklodowska-Curie National Research Institute of Oncology Warsaw Poland Subdivision of Urology Lower Silesian Center for Oncology Pulmonology and Hematology Wroclaw Poland

ISBN: (纸本)9783031669545

Prostate cancer is the most frequently occurring type of malignant tumor and one of the leading causes of cancer death in men. This article presents the development and evaluation of ensemble models for the segmentation of prostate zones (the anatomical model) and pathologically suspicious areas (the detection model). The novelty of the solution lies in its incorporation of pre-training into the standard nnU-Net architecture and its use of a modified loss function, which considers the subjective variability of annotations between experts. The anatomical segmentation model achieved a dice score (DSC) of 0.915 for the prostate gland, 0.865 for the transition zone, and 0.736 for the peripheral zone. The lesion detection models delivered promising performance, with an area under the receiver operating characteristic curve (AUROC) of 0.9692/0.8727 and an average precision (AP) of 0.798/0.68 for radiological and clinical settings, respectively. The authors highlight the importance of incorporating domain knowledge, customised architectures, and uncertainty estimation to develop robust and clinically relevant AI-based solutions for this complex medical imaging task. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Medical imaging

来源：评论

学校读者我要写书评

暂无评论

Low-Cost Entry-Level Educational Drone with Associated K-12 Education Strategy 14th

Low-Cost Entry-Level Educational Drone with Associated K-12...

引用

14th International Conference on Intelligent Human computer Interaction, IHCI 2022

作者： Wimer, Bailey Dannemiller, Justin Mahmud, Saifuddin Kim, Jong-Hoon Advanced Telerobotic Research Lab Computer Science Kent State University KentOH United States

ISBN: (纸本)9783031271984

Recent advancements in robotic technologies have boosted new robot applications to perform many tasks that used to be limited to humans. Given this trend towards the ubiquity of robotics in day-to-day life, demand for professionals with expertise in robot development and maintenance is highly expected to increase. It is essential that such talents be fostered in future generations at an early age in order to meet this demand. However, several challenges arise in trying to accomplish this mission. First of all, it might be difficult to hold children’s attention when teaching them a new or potentially challenging subject, especially when the subject is not attractive for them. In addition, lack of mathematical understanding, which can make it challenging to comprehend key principles, is another problem with robotics teaching at young ages. In this paper, we propose a highly-accessible drone design and an accompanying education strategy, which, together, can alleviate the aforementioned problems. The major goals of the developed drone are to remain affordable as well as to enhance students’ attention and motivation while maintaining a high level of functionality and safety. In the proposed educational strategy, students will be divided into four different levels;each level will have its own procedure to enable educators to integrate robotics into existing curricula. At each level, moreover, students will learn increasingly more complex robotics subjects by interacting with the drone through a user-friendly visual coding interface. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

A Uniform Distribution of Landmarks for Efficient Map Compression 1

引用

14th International Conference on computer Vision Systems (ICVS)

作者： Bouaziz, Youssef Royer, Eric Bresson, Guillaume Dhome, Michel Univ Clermont Auvergne Inst Pascal Clermont Ferrand France Inst VEDECOM Versailles France

ISBN: (数字)9783031441370

ISBN: (纸本)9783031441363;9783031441370

In this paper, we address the challenge of visual-based localization in dynamic outdoor environments characterized by continuous appearance changes. These changes greatly affect the visual information of the scene, resulting in significant performance degradation in visual localization. The issue arises from the difficulty of mapping data between the current image and the landmarks on the map due to environmental variations. One approach to tackle this problem is continuously adding new landmarks to the map to accommodate diverse environmental conditions. However, this leads to map growth, which in turn incurs high costs and resource demands for localization. To address this, we propose a map management approach based on an extension of the state-of-the-art technique called Summary Maps. Our approach employs a scoring policy that assigns scores to landmarks based on their appearance in multiple localization sessions. Consequently, landmarks observed in multiple sessions are assigned higher scores. We demonstrate the necessity of maintaining landmark diversity throughout map compression to ensure reliable long-term localization. To evaluate our approach, we conducted experiments on a dataset comprising over 100 sequences encompassing various environmental conditions. The obtained results were compared with those of the state-of-the-art approach, showcasing the effectiveness and superiority of our proposed method.

关键词： Visual-Based Navigation computer Vision for Transportation Long-Term SLAM

来源：评论

学校读者我要写书评

暂无评论

FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks 1

引用

46th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2024

作者： Lorenz, Tobias Kwiatkowska, Marta Fritz, Mario CISPA Helmholtz Center for Information Security Saarbrücken Germany Department of Computer Science University of Oxford Oxford United Kingdom

ISBN: (数字)9783031851810

ISBN: (纸本)9783031851803

Modern machine learning models are sensitive to the manipulation of both the training data (poisoning attacks) and inference data (adversarial examples). Recognizing this issue, the community has developed many empirical defenses against both attacks and, more recently, certification methods with provable guarantees against inference-time attacks. However, such guarantees are still largely lacking for training-time attacks. In this work, we present FullCert, the first end-to-end certifier with sound, deterministic bounds, which proves robustness against both training-time and inference-time attacks. We first bound all possible perturbations an adversary can make to the training data under the considered threat model. Using these constraints, we bound the perturbations’ influence on the model’s parameters. Finally, we bound the impact of these parameter changes on the model’s prediction, resulting in joint robustness guarantees against poisoning and adversarial examples. To facilitate this novel certification paradigm, we combine our theoretical work with a new open-source library BoundFlow, which enables model training on bounded datasets. We experimentally demonstrate FullCert’s feasibility on two datasets. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Topic Modeling in the ENRON Dataset 1

引用

11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022

作者： Celebi, Naciye Shashidhar, Narasimha Department of Computer Science Sam Houston State University HuntsvilleTX United States

ISBN: (数字)9783031235016

ISBN: (纸本)9783031235009

E-discovery is the electronic version of identifying, collecting, reviewing, and producing Electronically Stored Information (ESI) for the pre-trial procedure in a prosecution or legal investigation in many countries. There are challenges in e-discovery, such as cost and time consumption of the information retrieval process. Hence, natural language processing (NLP) is a key component in solving this problem, and we show using our case study that it scales effortlessly. Litigation costs are increasing, and as a result, legal professionals have sought to use fast information retrieval and machine learning methods to reduce manual labor and increase accuracy. In this paper, we consider using NLP to represent documents in a topic space using Latent Dirichlet Allocation and solving the information retrieval problem via finding document similarities in the topic space rather than doing it in the corpus vocabulary space. We also used the TF-IDF method in LDA to improve its performance. We report the results of our experiments on the ENRON dataset in the electronic discovery domain. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Information retrieval

来源：评论

学校读者我要写书评

暂无评论

R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients 25th

R-CONV: An Analytical Approach for Efficient Data Reconstru...

引用

25th International Conference on Web Information Systems Engineering, WISE 2024

作者： Eltaras, Tamer Ahmed Malluhi, Qutaibah Savino, Alessandro Carlo, Stefano Di Qayyum, Adnan Politecnico Di Torino Control and Computer Engineering Department Turin10129 Italy Qatar University Doha Qatar Information Technology University of the Punjab Lahore Pakistan

ISBN: (纸本)9789819605750

In the effort to learn from extensive collections of distributed data, federated learning has emerged as a promising approach for preserving privacy by using a gradient-sharing mechanism instead of exchanging raw data. However, recent studies show that private training data can be leaked through many gradient attacks. While previous analytical-based attacks have successfully reconstructed input data from fully connected layers, their effectiveness diminishes when applied to convolutional layers. This paper introduces an advanced data leakage method to efficiently exploit convolutional layers’ gradients. We present a surprising finding: even with non-fully invertible activation functions, such as ReLU, we can analytically reconstruct training samples from the gradients. To the best of our knowledge, this is the first analytical approach that successfully reconstructs convolutional layer inputs directly from the gradients, bypassing the need to reconstruct layers’ outputs. Prior research has mainly concentrated on the weight constraints of convolution layers, overlooking the significance of gradient constraints. Our findings demonstrate that existing analytical methods used to estimate the risk of gradient attacks lack accuracy. In some layers, attacks can be launched with less than 5 % of the reported constraints. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

MRI Breast Tissue Segmentation Using nnU-Net for Biomechanical Modeling 1st

MRI Breast Tissue Segmentation Using nnU-Net for Biomechani...

引用

1st Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care, Deep-Breath 2024

作者： Pooyan, Melika Awwad, Hadeel García, Eloy Martí, Robert Institute of Computer Vision and Robotics University of Girona Girona Spain

ISBN: (纸本)9783031777882

Integrating 2D mammography with 3D magnetic resonance imaging (MRI) is crucial for improving breast cancer diagnosis and treatment planning. However, this integration is challenging due to differences in imaging modalities and the need for precise tissue segmentation and alignment. This paper addresses these challenges by enhancing biomechanical breast models in two main aspects: improving tissue identification using nnU-Net segmentation models and evaluating finite element (FE) biomechanical solvers, specifically comparing NiftySim and FEBio. We performed a detailed six-class segmentation of breast MRI data using the nnU-Net architecture, achieving Dice Coefficients of 0.94 for fat, 0.88 for glandular tissue, and 0.87 for pectoral muscle. The overall foreground segmentation reached a mean Dice Coefficient of 0.83 through an ensemble of 2D and 3D U-Net configurations, providing a solid foundation for 3D reconstruction and biomechanical modeling. The segmented data was then used to generate detailed 3D meshes and develop biomechanical models using NiftySim and FEBio, which simulate breast tissue’s physical behaviors under compression. Our results include a comparison between NiftySim and FEBio, providing insights into the accuracy and reliability of these simulations in studying breast tissue responses under compression. The findings of this study have the potential to improve the integration of 2D and 3D imaging modalities, thereby enhancing diagnostic accuracy and treatment planning for breast cancer. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Tissue

来源：评论

学校读者我要写书评

暂无评论

Quantum Lung Segmentation: QCU-Net Applied to Chest X-Ray Images 18th

Quantum Lung Segmentation: QCU-Net Applied to Chest X-Ray I...

引用

18th International Conference on Algorithmic Aspects in Information and Management, AAIM 2024

作者： He, Haoqi Huang, Mingkai School of Cyber Science and Technology Shenzhen Campus of Sun Yat-sen University No. 66 Gongchang Road Guangming District Guangdong Shenzhen518107 China School of Medicine Shenzhen Campus of Sun Yat-sen University No. 66 Gongchang Road Guangming District Guangdong Shenzhen518107 China

ISBN: (纸本)9789819778003

Neural network-driven ML has thrived in applications like image recognition and precision medicine, exemplified by U-Net. Despite advancements like Transformer-integrated models, complexity increases training time and hardware demands, exacerbated by limited medical imaging datasets. Proposing QCU-Net, inspired by quantum variational circuits and CNNs, we address image segmentation challenges. QCU-Net combines U-Net’s aptitude with small medical datasets and quantum computing, innovating through quantum convolutions for efficient feature extraction and dimensionality reduction, streamlining the architecture and cutting training costs. It runs on just four qubits via circuit reuse, practical in the NISQ era. We train and evaluate QCU-Net on annotated chest X-rays from Shenzhen No. 3 People’s Hospital, demonstrating effective lung segmentation with reduced parameters and small-sample training akin to CNNs. Ablation studies reveal tripled U-Net training times sans convolutional layers. Experiments prove quantum computing’s potential and explore its application in medical image segmentation. They further showcase QCU-Net’s robust generalization on previously unseen pulmonary nodule cases, underscoring quantum-assisted medical image analysis benefits. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Image segmentation

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 << < 452 453 454 455 456 457 458 459 460 461 > >>

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：