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

34,472 篇 会议
5,311 篇 期刊文献
274 册 图书

馆藏范围

40,057 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

24,652 篇 工学
- 17,642 篇 计算机科学与技术...
- 14,782 篇 软件工程
- 6,533 篇 信息与通信工程
- 3,974 篇 控制科学与工程
- 3,048 篇 电子科学与技术（可...
- 2,864 篇 电气工程
- 2,639 篇 生物工程
- 2,128 篇 生物医学工程（可授...
- 1,695 篇 光学工程
- 1,621 篇 机械工程
- 1,485 篇 仪器科学与技术
- 1,365 篇 动力工程及工程热...
- 1,107 篇 化学工程与技术
- 981 篇 安全科学与工程
- 812 篇 交通运输工程
- 744 篇 网络空间安全
12,341 篇 理学
- 6,606 篇 数学
- 3,354 篇 物理学
- 2,897 篇 生物学
- 2,193 篇 统计学（可授理学、...
- 1,535 篇 系统科学
- 1,182 篇 化学
6,434 篇 管理学
- 3,828 篇 管理科学与工程(可...
- 2,921 篇 图书情报与档案管...
- 2,006 篇 工商管理
1,862 篇 医学
- 1,595 篇 临床医学
- 1,482 篇 基础医学(可授医学...
- 954 篇 药学(可授医学、理...
- 803 篇 公共卫生与预防医...
1,206 篇 法学
- 979 篇 社会学
734 篇 经济学
569 篇 农学
496 篇 教育学
186 篇 文学
97 篇 军事学
61 篇 艺术学
1 篇 哲学

主题

1,314 篇 accuracy
1,006 篇 feature extracti...
981 篇 computational mo...
880 篇 deep learning
813 篇 training
783 篇 computer science
677 篇 real-time system...
637 篇 machine learning
624 篇 support vector m...
568 篇 predictive model...
501 篇 internet of thin...
476 篇 convolutional ne...
444 篇 data models
394 篇 reliability
358 篇 data mining
346 篇 computer archite...
340 篇 optimization
326 篇 artificial intel...
313 篇 routing
312 篇 wireless sensor ...

机构

82 篇 north-west unive...
82 篇 institut univers...
80 篇 national centre ...
79 篇 infn sezione di ...
77 篇 institute of inf...
76 篇 infn sezione di ...
68 篇 tno technical sc...
66 篇 università di ca...
61 篇 université de st...
58 篇 dept. of informa...
56 篇 dept. of compute...
52 篇 school of automa...
52 篇 leiden universit...
52 篇 nikhef national ...
49 篇 dept. of compute...
48 篇 dept. of informa...
46 篇 dept. of compute...
44 篇 dept. of compute...
43 篇 dept. of electri...
42 篇 infn lnf via enr...

作者

85 篇 ferrara g.
85 篇 ardid m.
84 篇 calvo d.
84 篇 gal t.
84 篇 bozza c.
81 篇 chen a.
80 篇 kalekin o.
78 篇 díaz a.f.
76 篇 boumaaza j.
74 篇 coleiro a.
68 篇 huang f.
68 篇 gozzini s.r.
57 篇 dallier r.
51 篇 kulikovskiy v.
50 篇 anguita m.
44 篇 del burgo r.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.

语言

35,700 篇 英文
3,902 篇 其他
358 篇 中文
54 篇 日文
48 篇 朝鲜文
2 篇 德文
2 篇 斯洛文尼亚文
1 篇 法文
1 篇 葡萄牙文

检索条件"机构=Dept.of Computer Engineering and Computer Science"

共 40057 条记录，以下是4211-4220 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 Review on Non-Intrusive Load Monitoring

A Review on Non-Intrusive Load Monitoring

引用

2023 International Conference on Power, Instrumentation, Energy and Control, PIECON 2023

作者： Sonwani, Prabhash Kumar Swarnkar, Manini Singh, Gurpinder Soni, Amit Swarnkar, Anil Niazi, Khaleequr Rehman Malaviya National Institute of Technology Dept of Electrical Engineering Jaipur India Manipal University Dept. of Computer Science Jaipur India Manipal University Dept. of Electrical Engineering Jaipur India

ISBN: (纸本)9798350399769

Non-Intrusive load monitoring (NILM) is an emerging technology for extracting potent information from a consumer's electric load profile. The NILM techniques are gaining popularity among researchers as they reduce the requirement for external hardware for load monitoring. These techniques require only the smart meter's data, thus reducing the need for other measuring and sensing devices. In this paper, the research status of non-intrusive load monitoring has been reviewed. The utilisation of NILM techniques for event detection, load monitoring and energy disaggregation has been discussed in this paper. Furthermore, the research gap and future aspects are discussed. This paper has a great utility factor for upcoming researchers interested in NILM techniques. © 2023 IEEE.

关键词： Electric load management

来源：评论

学校读者我要写书评

暂无评论

Cybersecurity Threat Detection Using Deep Learning and Anomaly Detection Techniques

Cybersecurity Threat Detection Using Deep Learning and Anoma...

引用

Knowledge engineering and Communication Systems (ICKECS), International Conference on

作者： T. Rajendran N Mohamed Imtiaz K Jagadeesh Balaji Sampathkumar Department of Computer Science and Engineering Rajalakshmi Institute of Technology Chennai India Dept. of Information Science and Engineering Nagarjuna College of Engineering and Technology Bangalore India Dept. of Computer Science and Engineering Sri Venkateswaraa College of Technology Chennai India Dept. of Computer Science and Engineering Akshaya College of Engineering and Technology Coimbatore India

ISBN: (数字)9798350359688

ISBN: (纸本)9798350359695

Through the use of combined deep learning and anomaly detection approaches, this research investigates the area of cybersecurity threat detection. The study proves the framework’s extraordinary success in recognizing as well as mitigating diverse cyber dangers, including insider threats and zero-day attacks, through practical testing and case studies. The framework establishes itself as a proactive cybersecurity solution adaptive to the changing threat landscape due to its high accuracy of 95%, low amount of false positives 5%, and quick reaction times. The recommendations cover user training, scalability, regulatory compliance, including cross-disciplinary collaboration. Behavioral analysis, AI explainability, IoT security, and countering quantum computing concerns should be the main areas of future research. These revelations help the cybersecurity industry become more resilient and well-prepared. In this research investigation, experiments on threat detection were conducted using deep learning algorithms, with a specific focus on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The findings of the study reveal that a detection accuracy of 93% was achieved by CNN, while a higher accuracy of 96% in threat detection was exhibited by RNN.

关键词： Deep learning Training Accuracy Quantum computing Recurrent neural networks Threat assessment Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Enhancing Transaction Security through Iris Recognition

Enhancing Transaction Security through Iris Recognition

引用

Expert Clouds and Applications (ICOECA), International Conference on

作者： Gopi Suresh Arepalli Paluvai Bhavana Yakkanti Venkata Sai Krishna Chittibomma Surendrababu Dept. of computer Science and Engineering Lakireddy Bali Reddy College of Engineering Mylavaram India Dept. of Computer Science and Engineering Lakireddy Bali Reddy College of Engineering (Autonomous) Mylavaram India

ISBN: (数字)9798350385793

ISBN: (纸本)9798350385809

UPI frauds have led to increased use of biometrics for personal identification to ensure security and accuracy. Biometric UPI based on iris recognition technology improves customer service by providing a safe and paperless environment. This system replaces the existing UPI pin and affords protection to the UPI payment from cyber-attacks. During enrollment, genuine user's iris samples and UPI ID are retained in the database, and transactions are completed by capturing and matching iris patterns by using G-6 iris recognizer and biometric Framework. This innovative technology has revolutionized the way to make payments and has significantly reduced the risk of fraudulent activities. With biometric UPI, customers can enjoy a seamless experience when making transactions. The use of biometrics also ensures that there is no chance of identity theft or unauthorized access to sensitive information.

关键词： Privacy Databases Identity theft Customer services Authentication Pins Protection

来源：评论

学校读者我要写书评

暂无评论

Generalised Active Learning With Annotation Quality Selection 33

Generalised Active Learning With Annotation Quality Selectio...

引用

33rd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2023

作者： Lindqvist, Jakob Olmin, Amanda Svensson, Lennart Lindsten, Fredrik Chalmers University of Technology Dept. of Electrical Engineering Gothenburg Sweden Linköping University Dept. of Computer and Information Science Linköping Sweden

ISBN: (纸本)9798350324112

In this paper we promote a general formulation of active learning (AL), wherein the typically binary decision to annotate a point or not is extended to selecting the qualities with which the points should be annotated. By linking the annotation quality to the cost of acquiring the label, we can trade a lower quality for a larger set of training samples, which may improve learning for the same annotation cost. To investigate this AL formulation, we introduce a concrete criterion, based on the mutual information (MI) between model parameters and noisy labels, for selecting annotation qualities for the entire dataset, before any labels are acquired. We illustrate the usefulness of our formulation with examples for both classification and regression and find that MI is a good candidate for a criterion, but its complexity limits its usefulness. © 2023 IEEE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Deliberate Occlusion: Asymmetry in Facial Expression 6

Deliberate Occlusion: Asymmetry in Facial Expression

引用

6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023

作者： Chan, Hung-Tse Chao, Yen-Chun Hsia, Chih-Hsien Nat. Taiwan Univ. of Sci. and Tech. Dept. of Electronic and Computer Engineering Taipei City Taiwan Asia American International Academy New Taipei City Taiwan National Ilan University Dept. of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9798350323535

Facial expression recognition (FER) has become increasingly common in research. However, region feature technologies that play an important role in this field have not been well developed. In this study, a psychology-based solution to address problems in FER of regional features was proposed. This method employs the use of deliberate occlusion for enhancement and attention module to find meaningful and important features in the regions processing features with high inter-class similarity and variation. The result of this study shows that the approach has higher accuracy than recent models and, through the use of feature heatmap visualization, the possibility of approaching FER from human facial asymmetry is raised. © 2023 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Vehicle To Vehicle and Vehicle To Ground Communication - Speech Encryption Algorithm

Vehicle To Vehicle and Vehicle To Ground Communication - Spe...

引用

2023 International Conference on Electrical, computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Al-Hazaimeh, Obaida M. Al-Smadi, Ma'moun A. Al-Balqa Applied University Dept. of Computer Science Irbid Jordan Al-Balqa Applied University Dept. of Electrical Engineering Irbid Jordan

ISBN: (纸本)9798350322972

Vehicle to vehicle (V2V) communication has many applications in intelligent transportation system (ITS) like smart grid systems, fleet management and traffic light control. It aims to interconnect several components like road infrastructures, wireless networks, sensors, and vehicles. Therefore, it can be utilized to reduce congestion, accidents and fuel consumption. This paper propose a speech encryption system based on a one-dimensional logistic map for vehicle to vehicle communication (V2V) communication in intelligent transportation systems (ITS) to improve road safety and efficiency, where encryption and security play a major role. This study employs a symmetric key cryptography technique for chaotic ciphering. In this approach, a random key table lookup criterion was paired with a one-dimensional chaotic map in order to encrypt speech samples with a high level of security and acceptable speed. XOR encryption and speech row shuffling are used in the proposed technique. Using the difference between the old and new row locations, a combination of variable rotation and inversion was performed to each shuffled row in order to increase the level of security. As a consequence of the testing, the proposed approach was shown to be both efficient and usable. Combining key table and logistic map illustrates the advantages of both high-level security and large random key space. The encrypted speech produced is suitable for practical usage especially in vehicle to vehicle and vehicle to base transmission. © 2023 IEEE.

关键词： Roads and streets

来源：评论

学校读者我要写书评

暂无评论

U-SwinTrans: Automated Skin Lesion Segmentation Using Swin Transformer 3

U-SwinTrans: Automated Skin Lesion Segmentation Using Swin T...

引用

3rd International Conference on Intelligent Systems, Advanced Computing, and Communication, ISACC 2025

作者： Sharma, Aaditya Lochan Sharma, Kalpana Srivastava, Utkarsh Prakash Ghosal, Palash Sikkim Manipal University Sikkim Manipal Institute of Technology Department of Computer Science and Engineering Sikkim India New York University Dept of Electrical and Computer Engineering New York United States Sikkim Manipal University Sikkim Manipal Institute of Technology Department of Information Technology Sikkim India

ISBN: (纸本)9798331523893

Skin lesions are difficult to segment because of their different shapes, sizes, colors, and textures. While Convolutional Neural Networks (CNNs) have proven effective at medical image segmentation, typical U-shaped networks that employ convolutional operations may struggle to capture global features successfully. To overcome these challenges, we incorporated Swin Transformer Blocks into a U-shaped architecture, enhancing the network's capability to capture global features more effectively. We also used traditional image enhancement techniques such as DCT, DWT, and FFT to preprocess input images for better model performance. Our method entailed tokenizing preprocessed pictures into patches and putting them into the U-SwinTransformer encoder-decoder architecture, which learned both local and global semantic characteristics required for successful lesion segmentation. A comprehensive analysis of the ISIC 2017 dataset proves the effectiveness of our approach in skin lesion segmentation. © 2025 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Predictive Modeling of Metastatic Diagnosis Period in Breast Cancer using Machine Learning

Predictive Modeling of Metastatic Diagnosis Period in Breast...

引用

engineering Informatics, IEEE

作者： Aisha Karigar Mohammed Qadir Ternikar Samrudhi Patil Priyanka Gavade dept.of Computer Science (of Aff.) KLE TECHNOLOGICAL UNIVERSITY DR.MSSCET CAMPUS (of Aff.) BELGAVI INDIA

ISBN: (数字)9798331505776

ISBN: (纸本)9798331505783

The objective of this research is to utilize machine learning models to forecast the period of metastatic diagnosis in breast cancer patients, with a specific focus on triple-negative breast cancer (TNBC) data sourced from the WiDS Datathon 2024 dataset, which includes 19,000 records. This dataset encompasses a wide range of medical and socioeconomic variables that play a crucial role in comprehending healthcare disparities. Our assessment encompassed models such as Random Forest, XGBoost, and Support Vector Regression, with the Gradient Boosting Regressor (GBR) emerging as the most precise, achieving a Root Mean Square Error (RMSE) of 80.685. An analysis of feature importance revealed that the breast cancer diagnosis code, patient age, and geographic location (zip3) were the most significant predictors. Although feature importance was lower, payer type and socioeconomic factors also contributed to the model’s predictive capabilities. This study underscores the capacity of machine learning to capture both major and minor influences on metastatic diagnosis, thereby assisting in early detection and enhancing treatment strategies for TNBC patients.

关键词： Support vector machines Medical services Predictive models Breast cancer Data models Socioeconomics Root mean square Informatics Random forests Medical diagnostic imaging

来源：评论

学校读者我要写书评

暂无评论

AI -Based Smart Auditorium for Energy and Space Management Using Intelligent Compact Controller 2

AI -Based Smart Auditorium for Energy and Space Management U...

引用

2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Teli, S.N. Doke, Kanchan K. Siva Kumar, S. Rajan Bab, W. Paul, Sachin Gee Mohan Raj, C. Bharati Vidyapeeth College of Engineering Dept. of Mechanical Engineering Navi Mumbai400 614 India Bharati Vidyapeeth College of Engineering Dept. of Computer Engineering Navi Mumbai400 614 India Nehru Institute of Engineering and Technology Dept. of Computer Science and Engineering Coimbatore641-105 India Sri Eshwar College of Engineering Dept. of Electrical and Electronics Engineering Tamil Nadu Coimbatore641202 India Ilahia College of Engineering and Technology Dept. of Electrical and Electronics Engineering Kerala 686673 India Sri Eshwar College of Engineering Dept. of Electrical and Electronics Engineering Tamil Nadu Coimbatore641202 India

ISBN: (纸本)9798350327533

Efficient use of energy rather than production is essential in this era. A large percentage of electricity is being wasted unnecessarily. This energy wastage often occurs in crowded places such as college auditoriums and movie theaters. Energy efficiency can be brought into practical life by providing only as much energy as there is to as many people as there are. Apart from energy savings, by introducing automation and artificial intelligence, the sizes of even the largest halls can be adapted to suit the needs. Thus space and energy savings can be ensured by limiting the size of the space and the number of appliances required. This is called energy-saving implementation. This is the main objective of the article. FX5U controller is used here for automating the seating selection and actuating the corresponding electromechanical output based on the user input. The input and outputs are independently controlled and the efficient energy and space management can be accomplished by implementing the suitable AI algorithm as a script or ladder in the FX5U controller side. The GOT2000 is used for interfacing / data transferring between the human and the machine. © 2024 IEEE.

关键词： Efficient use of Energy FX5U Programmable Logic Controller GOT2000 Human Machine Interface Smart Auditorium Space and Energy Management

来源：评论

学校读者我要写书评

暂无评论

Food Waste Management using IoT & Android Interface 2

Food Waste Management using IoT & Android Interface

引用

2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023

作者： Usharani, Shola Puneeth, Telugu Sugavanan, Karthikeyan Depuru, Sivakumar Vellore Institute of Technology School of Computer Science and Engineering Chennai India Mohan Babu University School of Computing Dept of Cse Tirupati India

ISBN: (纸本)9798350325799

This research study proposes a solution to solve the pressing issue of food waste and hunger, which are two global problems that have grown significantly in recent years. According to the Food and Agriculture Organization (FAO), more than 1.3 billion tons of food are wasted every year, accounting for one-third of all food produced for human consumption. Meanwhile, the World Health Organization (WHO) reports that 20% of the global population is struggling with severe food scarcity. To address this issue, this research study proposes the development of a mobile application that allows people, restaurants, and cafes to provide leftover food to those in need, bridging the gap between food waste and hunger. This paper plans to integrate NGOs into the app to facilitate the delivery of food to the needy. Additionally, this paper proposes adding a novel feature to the proposed project, a "food quality tester"using Arduino and sensors. This feature will ensure that the food delivered is healthy and hygienic by allowing the delivery agent to test the quality of the food picked up from restaurants, cafes, and households. The proposed solution has the potential to reduce food waste and alleviate hunger, thereby contributing to sustainable development goals. The development of this mobile application can be seen as an innovative approach towards addressing the global issue of food waste and hunger, and hope to receive support and collaboration from various stakeholders. © 2023 IEEE.

关键词： Waste management

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 << < 418 419 420 421 422 423 424 425 426 427 > >>

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：