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

30,380 篇 会议
4,648 篇 期刊文献
239 册 图书

馆藏范围

35,267 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

21,799 篇 工学
- 15,762 篇 计算机科学与技术...
- 13,251 篇 软件工程
- 5,816 篇 信息与通信工程
- 3,436 篇 控制科学与工程
- 2,683 篇 电子科学与技术（可...
- 2,620 篇 电气工程
- 2,351 篇 生物工程
- 1,891 篇 生物医学工程（可授...
- 1,538 篇 光学工程
- 1,346 篇 机械工程
- 1,217 篇 动力工程及工程热...
- 1,204 篇 仪器科学与技术
- 1,016 篇 化学工程与技术
- 855 篇 安全科学与工程
- 721 篇 交通运输工程
11,171 篇 理学
- 6,041 篇 数学
- 3,059 篇 物理学
- 2,570 篇 生物学
- 1,996 篇 统计学（可授理学、...
- 1,336 篇 系统科学
- 1,088 篇 化学
5,627 篇 管理学
- 3,282 篇 管理科学与工程(可...
- 2,624 篇 图书情报与档案管...
- 1,825 篇 工商管理
1,600 篇 医学
- 1,389 篇 临床医学
- 1,299 篇 基础医学(可授医学...
- 851 篇 药学(可授医学、理...
- 677 篇 公共卫生与预防医...
1,028 篇 法学
- 822 篇 社会学
644 篇 经济学
- 644 篇 应用经济学
490 篇 农学
430 篇 教育学
156 篇 文学
77 篇 军事学
39 篇 艺术学
1 篇 哲学

主题

1,120 篇 accuracy
871 篇 feature extracti...
856 篇 computational mo...
741 篇 deep learning
683 篇 training
679 篇 computer science
537 篇 real-time system...
523 篇 support vector m...
499 篇 machine learning
461 篇 predictive model...
426 篇 internet of thin...
373 篇 convolutional ne...
364 篇 data models
354 篇 computer archite...
334 篇 reliability
309 篇 optimization
291 篇 data mining
281 篇 routing
263 篇 wireless sensor ...
255 篇 conferences

机构

83 篇 institut univers...
82 篇 north-west unive...
81 篇 national centre ...
79 篇 infn sezione di ...
77 篇 institute of inf...
76 篇 infn sezione di ...
76 篇 tno technical sc...
67 篇 université de st...
67 篇 dept. of informa...
66 篇 università di ca...
64 篇 nikhef national ...
58 篇 dept. of informa...
57 篇 dept. of compute...
56 篇 dept. of compute...
53 篇 leiden universit...
52 篇 school of automa...
52 篇 dept. of compute...
49 篇 dept. of compute...
47 篇 university würzb...
45 篇 dept. of electri...

作者

85 篇 ferrara g.
85 篇 ardid m.
85 篇 gal t.
85 篇 bozza c.
84 篇 calvo d.
82 篇 kalekin o.
81 篇 chen a.
80 篇 díaz a.f.
80 篇 boumaaza j.
78 篇 coleiro a.
77 篇 gozzini s.r.
70 篇 huang f.
70 篇 dallier r.
60 篇 anguita m.
52 篇 kulikovskiy v.
44 篇 del burgo r.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.

语言

31,526 篇 英文
3,344 篇 其他
301 篇 中文
54 篇 日文
45 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=Computer Applications in Science and Engineering dept."

共 35267 条记录，以下是1111-1120 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：

Comparative Analysis of Decorrelation and Contrast Stretching for Multispectral Color Image Enhancement 10

Comparative Analysis of Decorrelation and Contrast Stretchin...

引用

10th International Conference on Communication and Signal Processing, ICCSP 2024

作者： Ganesan, P. Leo Joseph, L.M.I. Sajiv, G. Chandrasekaran, B. Manigandan, E. Janakiraman, V. Vidya Jyothi Institute of Technology Dept. of Electronics and Communication Engineering Hyderabad India Sr University Dept. of ECE Telangana Warangal India Simats Saveetha School of Engineering Tamilnadu Chennai India Hindustan Institute of Technology and Science Department of Computer Applications Chennai India

ISBN: (纸本)9798350353068

The proposed work explains the comparative detailed study of multispectral image enhancement by means of contrast and decorrelation stretching. It is challenging to extract all necessary information from multispectral image which is a huge collection of information. Multispectral images are taken using different filters (sensors) that can recognize different spectral bands, giving us important details about the scene we're looking at. Most of the data is intensified inside a narrow portion of the accessible dynamic range. So the true color composite image looks monotonous. In addition, in multispectral images the visible bands are highly correlated with each other. This is the reason they looks so dull. So it is obligatory to decorrelate the bands and enhance the contrast of the input data. In this study, the efficiency of the contrast and decorrelation stretching transformation on test images is compared. The experimental outcomes undoubtedly demonstrate that decorrelation stretching outperformed the contrast stretching in this context. © 2024 IEEE.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

Empowering Android Malware Detection: A Deep Learning Ensemble with Optimal Features 26

Empowering Android Malware Detection: A Deep Learning Ensemb...

引用

26th International Conference on computer and Information Technology, ICCIT 2023

作者： Shakil, Mehedi Hasan Hasan, Md. Mynul Chittagong University of Engineering & Technology Dept. of Computer Science and Engineering Chattagram Bangladesh

ISBN: (纸本)9798350359015

Because of the rapid expansion of mobile devices and the growing reliance on mobile applications, there has been an increase in Android malware threats, necessitating the development of sophisticated detection systems. This research proposes a technique for detecting Android malware that makes use of several deep learning models. The goal is to provide an accurate and dependable method for classifying mobile applications as malicious or benign. To assure data integrity, the Drebin dataset is preprocessed. RFECV was employed to obtain the optimal features for deep learning algorithms such as Bi-LSTM, Bi-GRU, and 1D CNN. The dataset was trained using the selected features for each deep learning algorithm based on the feature selection method. The ensemble technique, employing a weighted average method, was utilised to combine the predictions of the individual models. Extensive testing revealed that combining Bi-LSTM and CNN in the ensemble technique achieves the greatest accuracy of 98.99%. This combination highlights the efficiency of combining various models strengths for Android malware detection. © 2023 IEEE.

关键词： Bi-Directional Gated Recurrent Unit (Bi-GRU) Bi-Directional Long Short Term Memory (Bi-LSTM) Convolutional Neural Network (CNN) Recursive Feature Elimination with Cross-Validation (RFECV) weighted average ensemble

来源：评论

学校读者我要写书评

暂无评论

Secure Automated Inventory Management system using Abstracted System Design Microservice Architecture 14

Secure Automated Inventory Management system using Abstracte...

引用

14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Darshan, M. Raswanth, S.R. Chaitanya, V.S.S.K. Kalavalapalli, Venkata Sridhar Sai Kumar, Priyanka Srivastava, Gautam Amrita School of Computing Dept. of Computer Science and Engineering Coimbatore India University of Texas Dept. of Computer Science San Antonio United States Brandon University Dept. of Mathematics and Computer Science Brandon Canada

ISBN: (纸本)9798350335095

Managing inventory has forever been a difficult problem for e-commerce sellers. Even today manual labor is used for the major part of the job. Without much automation in this industry growth has been stagnant because of the same *** proposed system works on a microservice-based architecture that enables automated inventory management with the help of a social-media messaging bot in an abstract manner. The bot comprises an integrated hybrid recommender system at the customer's end for better recommendations based on image and textual data. The entire system is deployed on the cloud following a serverless architecture for resilient service. The proposed solution plays a key role in taking research forward in the direction of micro-service-based system design involving real-world data. The results of the experiment prove to be beneficial for customers and retailers since they are now connected using the micro-service. © 2023 IEEE.

关键词： Systems analysis

来源：评论

学校读者我要写书评

暂无评论

Analysis of Time-Lapse Camera Using IoT

Analysis of Time-Lapse Camera Using IoT

引用

2023 International Conference on Circuit Power and Computing Technologies, ICCPCT 2023

作者： Manjunatha Swamy, C. Sundaram, S. Meenakshi Pranati, N. Karthik, R. Srivatsan, R. New Horizon College of Engineering Dept. of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350333244

Time-lapse photography is a widely used technique in various applications, such as film and video production, construction, and scientific research. However, traditional methods for creating time-lapse photography are limited and often require manual intervention, which can be time-consuming and error-prone. Additionally, current systems are not easily portable, and it's difficult to access the footage remotely. In this paper, we propose an IoT-enabled time-lapse camera that addresses these limitations by providing a solution that is easy to use, can be deployed in a variety of locations, and provides remote access to the footage. The camera is designed to capture high-quality images at set intervals and store them on a cloud platform for easy access. A desktop application is also developed to allow the user to remotely control and monitor the camera, set the camera's settings, and view the footage. Experiments were conducted to evaluate the performance of the proposed system. The results show that the proposed system significantly improves the efficiency of time-lapse photography and makes it more accessible to a wider range of users. The system is easy to use, has a low power consumption, and is highly scalable, making it suitable for various applications. The proposed IoT-enabled time-lapse camera provides a practical solution for creating time-lapse photography and has the potential to significantly impact the way time-lapse photography is done. © 2023 IEEE.

关键词： Remote control

来源：评论

学校读者我要写书评

暂无评论

Recent Advancements and Challenges in Bangla Textual Document Classification: A Review 26

Recent Advancements and Challenges in Bangla Textual Documen...

引用

26th International Conference on computer and Information Technology, ICCIT 2023

作者： Nahar, Khairun Al Mahfuz, Mohammed Abdullah Haque Sweety, Mahmuda Comilla University Faculty of Engineering Dept. of Computer Science and Engineering Cumilla Bangladesh

ISBN: (纸本)9798350359015

Bengali is the world's sixth-most frequently used dialect. Natural language processing (NLP), which enables data scientists to extract useful information from the constantly growing quantity of text data available on the net, includes text categorization as a key component. It is the act of organizing already-created groups or classes of text documents. But compared to other languages, like English, Bengali does not have as many capabilities for classifying texts. This study offers an extensive analysis of the current categorization of Bengali documents. Also gives a comprehensive summary of recent advances in ML and DL, covering datasets, methods, performance, accuracy rate, classification category, strengths, and limits. The purpose of this discussion is to identify current challenges that must be addressed and recommend some guidelines for future studies that might be explored. © 2023 IEEE.

关键词： Bangla Language Bengali text classification Classification Document classification Natural Language processing Text categorization

来源：评论

学校读者我要写书评

暂无评论

Air Quality Evaluator using Arduino 6

Air Quality Evaluator using Arduino

引用

6th International Conference on Inventive Computation Technologies, ICICT 2023

作者： Pavan Ganesh Reedy, Y. Kadali Jagadees, H. Pravin, A. Dept. of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9798350398496

Air pollution has a negative impact on our ability to do daily tasks and on our standard of living. Ecosystems and human well-being are under danger. Recent years have seen a notable increase in heavy industry, leaving it even more important to monitor air quality. When it comes to air quality, individuals must be aware of how much control they have. This study proposes a network of sensors to track changes in the air. The Arduino was employed as the platform's microcontroller. The purpose of the air pollution surveillance systems is to continuously track and record data on the state of the air around a certain location and upload that information to a central server for safekeeping and online access. Parts-per-million measures used to quantify pollution levels, and the results were evaluated in Microsoft Excel. The system's ability to monitor air quality as planned worked as intended. The results were displayed on the bespoke hardware's ui and were also stored in the cloud, where they could be accessed by anybody with a smartphone. © 2023 IEEE.

关键词： Air quality

来源：评论

学校读者我要写书评

暂无评论

Vulnerability Scanning and Analysis Tool (VSAT) 9

Vulnerability Scanning and Analysis Tool (VSAT)

引用

9th International Conference on Smart Computing and Communications, ICSCC 2023

作者： Nair, Aarya Anil, Abhinav Pallivathuckal, Anna Rose Daiju, Dijo John, Jomina Rajagiri School of Engineering and Technology Dept. of Computer Science and Engineering Kochi India

ISBN: (纸本)9798350314090

Due to exponential technological advancement, the number of cyber attacks has been steadily increasing and leading to substantial loss of profits, productivity losses, reputational damage as well as judicial liability. To ensure that cyber attacks do not occur, it is important to identify vulnerabilities in web applications. This paper presents a vulnerability scanning tool that involves continuous monitoring and testing of Web applications which analyses the various vulnerabilities that are present in a system. Different types of scans that are performed to detect these vulnerabilities are also explained. © 2023 IEEE.

关键词： Network security

来源：评论

学校读者我要写书评

暂无评论

An Investigation of Deep Neural Network based Techniques for Object Detection and Recognition Task in computer Vision 2

An Investigation of Deep Neural Network based Techniques for...

引用

2nd International Conference on Edge Computing and applications, ICECAA 2023

作者： Sunil Kumar, Aithal S Mahesh, Kavitha St Joseph Engineering College Dept. of Computer Science and Engineering Mangalore India Nmam Institute of Technology Nitte Dept. of Computer Science and Engineering India Science and Engineering Nagarjuna College of Engineering & Technology Mudugurki Bengaluru India

ISBN: (纸本)9798350347579

Detection of objects and its recognition in visual sequences are the two critical tasks in the computer vision field. Various real-time applications such as autonomous vehicles, face recognition, health-care systems and space exploration requires highly reliable and precise object detection models. Traditional object detection and recognition algorithms are based on hand crafted and are considered to be erroneous, time consuming and expensive leading to the significant reduction of accuracy rate for object detection in large datasets. Recently, large number of promising deep neural networks models have been emerged for facilitating automated and accurate detection of varying scale objects and its precise recognition across various computer vision applications. Several GPU based neural models thereby incorporating context-aware capabilities have shown effective performance, which overcomes the drawbacks of traditional techniques. This research study provides an investigation of several popular deep learning models that exists for accurate object detection in various forms of visual sequences. Varying scale objects are detected frequently available in popular MS COCO and PASCAL datasets and their performance are evaluated utilizing one stage Yolo family and two stage Faster RCNN deep learning object detectors. At the end of the study, several future research directions for object detection task are discussed. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

A Technique to Avoid Blockchain Denial of Service (BDoS) and Selfish Mining Attack 5

A Technique to Avoid Blockchain Denial of Service (BDoS) and...

引用

5th International Conference on Blockchain Computing and applications, BCCA 2023

作者： Habib, Md. Ahsan Hossen Manik, Md. Motaleb Khulna University of Engineering & Technology Dept. of Computer Science and Engineering Khulna Bangladesh

ISBN: (纸本)9798350339239

Blockchain denial of service (BDoS) and selfish mining are the two most crucial attacks on blockchain technology. A classical DoS attack targets the computer network to limit, restrict, or stop accessing the system of authorized users which is ineffective against renowned cryptocurrencies like Bitcoin, Ethereum, etc. Unlike the conventional DoS, the BDoS affects the system's mechanism design to manipulate the incentive structure to discourage honest miners to participate in the mining process. In contrast, in a selfish mining attack, the adversary miner keeps its discovered block private to fork the chain intentionally that aiming to increase the incentive of the adversary miner. This paper proposed a technique to successfully avoid BDoS and selfish mining attacks. The existing infrastructure of blockchain technology does not need to be changed a lot to incorporate the proposed solution. © 2023 IEEE.

关键词： Machine design

来源：评论

学校读者我要写书评

暂无评论

An Improved Leukemia Detection Model using CNN

An Improved Leukemia Detection Model using CNN

引用

2023 IEEE International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023

作者： Aditya, Y. Durga, M. Venkata Siva Naga Sai Teja, K. Hari Priya, J. Eswar Datta, K. Sr Gudlavalleru Engineering College Dept. of Computer Science and Engineering Gudlavalleru India

ISBN: (纸本)9798350397208

Leukemia is a kind of cancer in which a significant number of immature lymphocyte blood cells form, interfering with the formation of other blood cells. Normally, Leukemia can be identified by using Complete Blood Count(CBC) test. If there is too few or too many of one type of blood cells are presents in CBC then that indicates Leukemia. Even though leukaemia affects children 80% of the time, it can be fatal when it affects adults. So Early detection of Leukemia is very important to save lives. computer technology can help in quick Leukemia diagnosis. This study uses Convolution Neural Network (CNN) model for classifying microscopic blood cells images to predict whether the person is having Leukemia or not. © 2023 IEEE.

关键词： Diseases

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 << < 108 109 110 111 112 113 114 115 116 117 > >>

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：