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

34,403 篇 会议
5,316 篇 期刊文献
272 册 图书

馆藏范围

39,991 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

24,669 篇 工学
- 17,660 篇 计算机科学与技术...
- 14,804 篇 软件工程
- 6,542 篇 信息与通信工程
- 3,979 篇 控制科学与工程
- 3,048 篇 电子科学与技术（可...
- 2,866 篇 电气工程
- 2,641 篇 生物工程
- 2,131 篇 生物医学工程（可授...
- 1,694 篇 光学工程
- 1,620 篇 机械工程
- 1,487 篇 仪器科学与技术
- 1,369 篇 动力工程及工程热...
- 1,110 篇 化学工程与技术
- 984 篇 安全科学与工程
- 812 篇 交通运输工程
- 750 篇 网络空间安全
12,355 篇 理学
- 6,617 篇 数学
- 3,357 篇 物理学
- 2,898 篇 生物学
- 2,198 篇 统计学（可授理学、...
- 1,536 篇 系统科学
- 1,190 篇 化学
6,430 篇 管理学
- 3,831 篇 管理科学与工程(可...
- 2,915 篇 图书情报与档案管...
- 2,006 篇 工商管理
1,863 篇 医学
- 1,594 篇 临床医学
- 1,481 篇 基础医学(可授医学...
- 954 篇 药学(可授医学、理...
- 801 篇 公共卫生与预防医...
1,206 篇 法学
- 979 篇 社会学
735 篇 经济学
569 篇 农学
497 篇 教育学
186 篇 文学
97 篇 军事学
61 篇 艺术学
1 篇 哲学

主题

1,290 篇 accuracy
996 篇 feature extracti...
968 篇 computational mo...
871 篇 deep learning
805 篇 training
782 篇 computer science
657 篇 real-time system...
641 篇 machine learning
616 篇 support vector m...
550 篇 predictive model...
497 篇 internet of thin...
470 篇 convolutional ne...
434 篇 data models
382 篇 reliability
356 篇 data mining
340 篇 computer archite...
340 篇 optimization
316 篇 artificial intel...
312 篇 wireless sensor ...
311 篇 routing

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 ...
69 篇 tno technical sc...
66 篇 università di ca...
62 篇 université de st...
58 篇 dept. of informa...
56 篇 dept. of compute...
52 篇 school of automa...
52 篇 leiden universit...
51 篇 nikhef national ...
50 篇 dept. of compute...
49 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.
77 篇 boumaaza j.
73 篇 coleiro a.
68 篇 huang f.
68 篇 gozzini s.r.
58 篇 dallier r.
51 篇 kulikovskiy v.
51 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

37,786 篇 英文
1,737 篇 其他
367 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 39991 条记录，以下是4891-4900 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：

Artificial Intelligence for Green Agriculture and Sustainable Resource Management: A Comprehensive Overview

Artificial Intelligence for Green Agriculture and Sustainabl...

引用

Computational Intelligence Approaches and Applications (ICCIAA), International Conference on

作者： Eman Alduweib Waseem Alromema Essa Hezzam Dept. of Computer Science University of Petra Amman Jordan Dept. of Computer Science and Information Applied College Taibah University Medina Saudi Arabia Dept. of Information Systems College of Computer Science and Engineering Taibah University Medina Saudi Arabia

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

Artificial Intelligence (AI) is a revolutionary technology disrupting the process of finding solutions for various sustainability challenges. Specifically, AI is having a significant influence on many sectors, especially agriculture, energy, waste management, and biodiversity conservation. This paper offers a comprehensive overview of AI's applications in sustainable resource management, with a special focus on green agriculture as a case study, in which the application of AI greatly enhances the efficiency of resource use, crop yield, and environmental conservation efforts. This overview describes the potential application of AI to address performance concerns (ethical value, energy use, and data quality deficiency), and proposes the future research directions such as the explainable AI, circular economies, and the integration of AI with the Internet of Things (IoT) to guide researchers and policymakers in exploiting AI to enhance sustainability in key domains.

关键词： Waste management Ethics Explainable AI Data integrity Transforms Resource management Internet of Things Biodiversity Artificial intelligence Sustainable development

来源：评论

学校读者我要写书评

暂无评论

Global COVID-19 Related Waste Challenges, Response Strategies, and Potential Opportunities

Global COVID-19 Related Waste Challenges, Response Strategie...

引用

World Environmental and Water Resources Congress 2022: Adaptive Planning and Design in an Age of Risk and Uncertainty

作者： Smith-Lambert, Leigh Ferguson, Izaria Albert, Lynal Dept. of Engineering and Computer Science Tarleton State Univ. StephenvilleTX United States

ISBN: (数字)9780784484258

ISBN: (纸本)9780784484258

As the world navigates the COVID-19 pandemic, the surge in waste generation, the varied composition of waste, and its subsequent management has presented several challenges to many communities. Waste management techniques and cultivating an awareness of the environmental and health impacts of mismanaged wastes have varied with location, economics, and priorities of the region. Risk mitigation efforts including the wearing of masks, lockdowns, and stay at home orders intended to contain the spread of the virus have resulted in several unintended environmental implications. With the rise in consumer plastic consumption, single use PPE, take away food orders, and online shopping, many households across the globe have reported an increase in waste. While developed countries have been able to approach the surge by utilizing and expanding current municipal waste management programs, countries lacking this existing infrastructure battle an increased risk of continued infection and magnified environmental issues through open landfills, groundwater contamination, and limited community awareness. Adopting appropriate methods of risk communication and encouraging participation from the public to manage waste issues is critical to protecting the environment by limiting contamination, improving community involvement in reducing landfill waste, and encouraging recycling. It is imperative to develop waste management solutions while continuing the promotion of sustainable habits, combating the current pandemic situation, and preparing for future episodic events. Our study focuses on analyzing episodic waste generation during the pandemic, management strategies adopted globally, and identifying areas of possible improvement and alternate strategies that can be implemented. © ASCE.

关键词： Groundwater

来源：评论

学校读者我要写书评

暂无评论

Data Mining Techniques in Financial Fraud Detection 1

Data Mining Techniques in Financial Fraud Detection

引用

1st IEEE International Conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Rathore, Rachna Sharma, Yash Ambika, P. Upadhyay, Amit Kumar Mahajan, Samriti Kumar, Rupendra Jiwaji University Dept. of Mathematics Gwalior India CSE-APEX Chandigarh India Meenakshi A.H.E.R Dept. of Commerce Chennai India Mangalayatan University Dept. of Computer Engineering & Applications Aligarh India Lingayas Vidyapeeth University Dept. of Commerce & Management Faridabad India JS University Dept. Computer Science Shikohabad India

ISBN: (纸本)9798350356816

In today's world, financial fraud poses a real threat to global economies, necessitating robust detection systems. Utilizing data mining methods in fraud detection has emerged as a new approach, offering powerful tools, especially with large financial transaction datasets. This paper explores various Data Mining techniques applied in Financial Fraud Detection, including decision trees, neural networks, and clustering methods, highlighting their effectiveness in identifying fraud. As decision trees can easily classify & predict transactions based on this historical data, it helps to recognize fraudulent activities. Neural networks can improve the accuracy of predicting fraudulent transactions by detecting intricate patterns, they are capable & adaptable for learning even odd more. Data points that are close together with each other end up in the same cluster - revealing outliers such as fraud;which would appear to be a point very distant from its neighbours. The adoption of these methodologies within financial systems prevents fraud before a crime has been committed, allowing for the resources & time spent on manual investigation to be reallocated. In addition, the development of machine-learning solutions & further enhancements in artificial intelligence allows for specialized fraud prevention methods to evolve. This abstract emphasises the importance of data mining for financial security which also points at some on-going research in this area. © 2024 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Signals of Opportunity for Car Density Estimation with Limited Training Data

Signals of Opportunity for Car Density Estimation with Limit...

引用

2023 International Symposium on Networks, computers and Communications, ISNCC 2023

作者： Al Amiri, Wesam Abdelsalam, Omar Jones, James T. Guo, Terry N. Mackenzie, Allen B. Tennessee Technological University Dept. of Electrical and Computer Engineering CookevilleTN United States Tennessee Technological University Dept. of Computer Science CookevilleTN United States Center for Manufacturing Research Tennessee Technological University CookevilleTN United States

ISBN: (纸本)9798350335590

Passive sensing leverages existing signals from illuminators of opportunity to perform target localization, detection, and tracking without the need for additional infrastructure. In this paper, we explore the use of WiFi signals of opportunity for estimating car density in parking lots. The aim is to develop an efficient and cost-effective parking occupancy estimation system to alleviate traffic congestion caused by drivers searching for parking spaces. To achieve this, experimental measurements were conducted in a real outdoor environment to collect reflected WiFi signals from targets (cars). These collected signals were then used for car density estimation using a combination of semi-supervised learning convolutional neural network (CNN) and weighted-centroid interpolation techniques, only requiring small size datasets and limited measurements. The proposed method overcomes the limitations of existing data-driven estimators by reducing the reliance on large labeled datasets and computational complexity associated with traditional supervised learning methods. In addition, it provides a cost-effective alternative to the traditional systems that rely on a large number of sensors. Simulations are performed to evaluate the performance of the estimation, and the results demonstrate that our scheme can effectively estimate car densities in the parking lot with reasonable estimation errors. © 2023 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Modelling Weave effect in PCBs using 2D cross-sectional analysis

Modelling Weave effect in PCBs using 2D cross-sectional anal...

引用

2024 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC+SIPI 2024

作者： Khilkevich, Victor Hinaga, Scott Missouri University of Science and Technology Dept. of Electrical and Computer Engineering Electromagnetic Compatibility Laboratory RollaMO United States Cisco Systems Inc San JoseCA United States

ISBN: (纸本)9798350360394

Printed circuit board dielectric substrates are composite materials produced by embedding fiber glass fabrics into epoxy resin. Because of this the medium in the PCB transmission lines is inhomogeneous which often leads to degradation of the signal integrity performance of the lines, particularly due to the differential skew. The detrimental effect of the fiber weave can be modeled relatively accurately using full-wave analysis, but at a high computational cost. Alternative modelling techniques are less demanding, but often lack accuracy. This article investigates a possibility of using the 2D cross-sectional analysis for the fiber weave effect modeling, which considerably decreases the computational cost of modeling while retaining the accuracy inherent to the field solvers. © 2024 IEEE.

关键词： System-on-chip

来源：评论

学校读者我要写书评

暂无评论

The Use of a Polarization-Agile Applicator in Hyperthermia Treatments of a Spherical Region

The Use of a Polarization-Agile Applicator in Hyperthermia T...

引用

2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023

作者： Dicarlofelice, Alessandro Tognolatti, Piero Bardati, Fernando University of l'Aquila Dept. of Industrial and Information Engineering and Economics L'Aquila Italy University of Rome Tor Vergata Department of Civil Engineering and Computer Science Rome Italy

ISBN: (纸本)9798350323047

A hyperthermia applicator that can independently radiate two orthogonal polarizations is proposed for a Polarization-Agile array configuration to obtain better control of power deposition. Through a numerical model of a layered sphere simulating a human head, the possibility of more efficiently limiting unwanted hot spots is demonstrated. © 2023 IEEE.

关键词： Polarization

来源：评论

学校读者我要写书评

暂无评论

Advancement in Image Plagiarism Detection using Feature Extraction and Deep Learning Approaches

Advancement in Image Plagiarism Detection using Feature Extr...

引用

Image Processing and Capsule Networks (ICIPCN), International Conference on

作者： Sonam Bhandari Sumit Chaudhary Sonal Malhotra Kapil Joshi Madhu Kirola Rajkumar Dept. of Computer Science and Engineering Uttaranchal Institute Of Technology Uttaranchal University Dehradun India Dept. of Computer Science and Engineering Graphic Era Hill University Graphic Era Deemed to be University Dehradun India Dept. of Computer Science and Engineering Dev Bhoomi Uttarakhand University Dehradun India

ISBN: (数字)9798350367171

ISBN: (纸本)9798350367188

With the widespread use of digital media, amount of visual content on the internet and the incidence of image plagiarism has also increased. In various domains including academia, journalism and creative industries, unauthorized use or reproduction of images without proper attribution has become significant concern. Scaling, rotation, cropping, filtering due to these diverse range of transformations detecting image plagiarism is a challenging task now. This study investigates the use of deep learning approach to image plagiarism detection that combines methods for similarity measurement, clustering and feature extraction. A comprehensive solution is being proposed by combining Scale Invariant Feature Transform (SIFT) for extracting features, Bag of Visual Words (BoVW) model and Convolutional Neural Networks (CNNs) for image analysis. The effectiveness of the proposed approach through extensive experiments is demonstrated, outperforming the baseline methods and showcasing superior performance metrics.

关键词： Deep learning Visualization Technological innovation Sensitivity Plagiarism Scalability Transforms

来源：评论

学校读者我要写书评

暂无评论

Blockchain and Artificial Intelligence Feasibility, Implementation and Sustainability in Supply Chain 8

Blockchain and Artificial Intelligence Feasibility, Implemen...

引用

8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022

作者： Moorthy, Srihari Balakrishanan, S. Nithish, K. Rahfar Nisha, R. Rohith, M.R.C. Sri Krishna College of Engineering and Technology Dept. of Computer Science and Business Systems Coimbatore India

ISBN: (纸本)9781665408165

This paper aims to study the current deficits in the supply chain and logistics industry and how cutting-edge technologies will be able to solve the problems. Ideas such as blockchains are being used for integrity & immutability during logistic operations and to use Artificial intelligence to maximize the efficiency of the supply chain operations. Using pre-existing data and research papers we will determine the feasibility and sustainability of using these technologies in the supply chain and logistics industry. This paper will also discuss about the Blockchain and machine learning models and difficulties in implementing these technologies in the supply chain and logistic industry. © 2022 IEEE.

关键词： Supply chains

来源：评论

学校读者我要写书评

暂无评论

Smart Traffic Management in Green VANETs: Ant-Inspired Routing Strategies with Local Search Optimization

Smart Traffic Management in Green VANETs: Ant-Inspired Routi...

引用

2024 International Conference on Recent Innovation in Smart and Sustainable Technology, ICRISST 2024

作者： Thangam, S. Jahnavi, M. Chandana, K. Dheeraj, K. Janet Kumari, J Jesy Saleem Raja, A. Amrita School of Computing Amrita Vishwa Vidyapeetham Dept. of Computer Science and Engineering Bengaluru India University of Technology and Applied Sciences-Shinas College of Computing and Information Sciences It Department Oman

ISBN: (纸本)9798350309140

Green Vehicular Ad-hoc Networks (VANETs) are gaining significance in smart mobility because of growing concerns about the environment. The research introduces a novel method for managing traffic in such networks by combining ant-inspired routing methods with local search optimization approaches. The solution, which draws inspiration from the efficient path-finding abilities of ants, facilitates decentralized communication and sharing of traffic data among cars. It allows rapid adaptation to changing traffic circumstances and environmental elements. Local search optimization enhances routing decisions by considering the near vicinity of each vehicle. Extensive simulations demonstrate notable enhancements in traffic efficiency, decreased congestion, and improved energy conservation as compared to conventional routing methods. The suggested solutions also enhance the development of environmentally friendly and enduring transportation networks. © 2024 IEEE.

关键词： Vehicular ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

An Improved Method for Fault Detection Electric Power System Protection using SVMCNN Model 1

An Improved Method for Fault Detection Electric Power System...

引用

1st IEEE International Conference on Electronics, Computing, Communication and Control Technology, ICECCC 2024

作者： Kumar, N.M.G. Shanmuga Priya, S. Varghese, Vineetha Renuga, K. Patra, Jyoti Prasad Nishant, Neerav Mohan Babu University Sree Vidyanikethan Engineering College Rangam Pet Dept. of EEE Tirupathi India Saveetha Engineering College Department of Artificial Intelligence and Data Science Tamilnadu Chennai India Rathinam Technical campus Department of Computer Science and Engineering Tamilnadu Coimbatore India St. Joseph's Institute of Technology OMR Department of Mathematics Tamilnadu Chennai India College-KEC EE And EEE Krupajal Engineering Odisha Puri India School of Engineering Babu Banarasi Das University Department of Computer Science and Engineering Lucknow India

ISBN: (纸本)9798350371802

Multiple factors outside our control can contribute to the unanticipated breakdown of electrical power networks. It is of the utmost importance to prevent unforeseen power system issues from affecting other components of the protective system. It is the job of the protective systems to identify and categorize potentially dangerous voltage and/or current lines. To isolate the malfunctioning line, utilize the protection relay to trigger the circuit breaker. An SVM-CNN architecture is presented in this study for the purpose of detecting power outages in transmission lines. When it comes to preprocessing, feature selection, and training models, the correct sequence of activities is crucial. For anomaly-based fault detection algorithms to accurately represent and understand the data, data preprocessing is essential. Feature selection makes the process more feasible by reducing the entire data volume and helping HIF detection home in on the most relevant features. The results were evident with an accuracy improvement reaching 95.70%. © 2024 IEEE.

关键词： Support vector machines

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 << < 486 487 488 489 490 491 492 493 494 495 > >>

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：