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

632 篇 期刊文献
538 篇 会议

馆藏范围

1,170 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

660 篇 理学
- 543 篇 物理学
- 65 篇 数学
- 38 篇 生物学
- 25 篇 统计学（可授理学、...
- 18 篇 化学
514 篇 工学
- 255 篇 计算机科学与技术...
- 200 篇 软件工程
- 179 篇 核科学与技术
- 99 篇 信息与通信工程
- 81 篇 控制科学与工程
- 69 篇 电气工程
- 54 篇 电子科学与技术（可...
- 40 篇 动力工程及工程热...
- 32 篇 生物医学工程（可授...
- 30 篇 光学工程
- 30 篇 生物工程
- 28 篇 机械工程
- 28 篇 网络空间安全
- 26 篇 安全科学与工程
- 23 篇 仪器科学与技术
- 21 篇 环境科学与工程（可...
- 18 篇 交通运输工程
- 17 篇 石油与天然气工程
- 15 篇 材料科学与工程（可...
93 篇 管理学
- 70 篇 管理科学与工程(可...
- 34 篇 图书情报与档案管...
- 30 篇 工商管理
46 篇 医学
- 40 篇 临床医学
- 36 篇 基础医学(可授医学...
- 24 篇 公共卫生与预防医...
16 篇 法学
11 篇 农学
10 篇 经济学
4 篇 教育学
1 篇 军事学

主题

170 篇 hadron colliders
78 篇 higgs bosons
57 篇 accuracy
49 篇 w & z bosons
43 篇 deep learning
39 篇 relativistic hea...
38 篇 top quark
38 篇 convolutional ne...
34 篇 feature extracti...
33 篇 supersymmetric m...
31 篇 machine learning
30 篇 hadron-hadron sc...
30 篇 quark & gluon je...
26 篇 particle product...
25 篇 training
23 篇 real-time system...
23 篇 extensions of hi...
22 篇 internet of thin...
22 篇 support vector m...
21 篇 hypothetical par...

机构

331 篇 faculty of scien...
331 篇 department for p...
327 篇 kirchhoff-instit...
318 篇 department of ph...
314 篇 department of ph...
304 篇 department of ph...
304 篇 department of ph...
303 篇 yerevan physics ...
299 篇 fakultät für phy...
297 篇 institute of phy...
296 篇 graduate school ...
286 篇 institute of phy...
280 篇 department of ph...
279 篇 instituto de fís...
277 篇 dipartimento di ...
248 篇 department of ph...
245 篇 nikhef national ...
242 篇 irfu cea univers...
228 篇 marian smoluchow...
228 篇 department of ph...

作者

266 篇 c. alexa
264 篇 j. m. izen
262 篇 g. bella
258 篇 j. strandberg
257 篇 d. calvet
257 篇 c. amelung
243 篇 n. orlando
235 篇 y. tayalati
232 篇 s. veneziano
232 篇 g. spigo
232 篇 v. chiarella
225 篇 f. siegert
220 篇 r. ströhmer
218 篇 f. deliot
218 篇 m. rijssenbeek
217 篇 y. abulaiti
216 篇 s. jin
216 篇 g. gaudio
216 篇 s. mohapatra
216 篇 i. van vulpen

语言

1,115 篇 英文
52 篇 其他
4 篇 中文

检索条件"机构=M.Tech Computer Science and Engineering"

共 1170 条记录，以下是281-290 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：

Home Security Voice based Alert System using IoT

Home Security Voice based Alert System using IoT

引用

Smart Electronics and Communication (ICOSEC), International Conference on

作者： P. Pandiaraja R Venkatramani R. Arunraj P Rajesh Kanna G mahendran T. Suresh Department of Computer Science and Engineering School of Computing Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology Chennai Department of Computer Science and Engineering M. Kumarasamy College of Engineering Thalavapalayam Karur Tamilnadu India Department of Information Technology K. Ramakrishnan college of Engineering Samayapuram Tamil Nadu India Department of Computer Science and Engineering Bannari Amman Institute of Technology Erode Tamil Nadu India Department of AIML K. Ramakrishnan college of Engineering Samayapuram Tamilnadu India

ISBN: (数字)9798331504403

ISBN: (纸本)9798331504410

Every home has an issue, such as the inability to determine if a gas leak is occurring or not. Similarly, when a water storage tank overflows, we are unable to determine the level of the condition until it causes a spill. An existing system is employed to address this issue; however, it has a low level of attentiveness, making it difficult for users to correctly identify the problem. To solve all of these issues in every home, we have developed a voice-based Internet of Things device. This instrument’s voice-based output enables the user to readily understand the situation. When a gas leak occurs, a gas detector that can identify LPG gas sends a signal to a microcontroller, which then sends the signal to a voice bank to generate a speech-based warning message. Additionally, it comes into touch with water when the water is expected to flow out, sends a signal to the Arduino, and produces a voice-based output. This will cut down significantly on accidents and product waste.

关键词： Electric potential Water storage microcontrollers Instruments Alarm systems Safety maintenance Internet of Things Gas detectors Accidents

来源：评论

学校读者我要写书评

暂无评论

KNN-Powered Online Voting System to Improve Accuracy and Transparency of Election Process

KNN-Powered Online Voting System to Improve Accuracy and Tra...

引用

multi-Agent Systems for Collaborative Intelligence (ICmSCI), International Conference on

作者： Ullamparthy Jaswanth D. Surendiran muthukumar R. Abitha Pamu Ganesh Nandyala Naveen G. Kavitha Department Computer Science and Engineering Kalasalingam Academy of Research and Education Virudhunagar Tamil Nadu Department of Artificial Intelligence and Data science Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala Engineering College Chennai Tamil Nadu Department of Electronics and Communication Engineering Dr.M.G.R Educational andResarch Institute Chennai Tamil Nadu

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509835

The proposed system aims to create a safe online voting system. Nowadays voting remains a serious safety and security issue so this system provides high performance and security. The System seeks to develop a face recognition-based voting system that authenticates voters using machine learning, especially K-Nearest Neighbors (KNN). Entering the voter's unique username and Password is the first step in the online voting system. If the voter's Username and password are valid, the system proceeds to the next step, requesting permission to turn on the webcam and take a picture of them. Once the photo is taken, it verifies that the voter has only taken it once. The website allows the voter to cast his vote only once. Voter access is denied if the same voter picture is entered again. By logging into the website voter can cast their vote from any place. Every minute the website updates the results of the election. So, voters do not need to wait in long queues to cast their votes. To give voters real-time information on their voting progress. The system also features dynamic voice feedback to guide users through voting, ensuring clarity and engagement. This initiative uses facial recognition technology to enhance the security and efficiency of voting systems.

关键词： machine learning algorithms Webcams Face recognition Passwords machine learning Nearest neighbor methods Real-time systems Safety Security Electronic voting

来源：评论

学校读者我要写书评

暂无评论

A Way of making Smart Health Through Collaborating machine Learning with the Bibliometrics

A Way of Making Smart Health Through Collaborating Machine L...

引用

Advance Computing and Innovative technologies in engineering (ICACITE), International Conference on

作者： T Vignesh P. S Sruthi T. mohanraj Gaurav Kumar Akshay Varkale m.Sahaya Sheela Department of Computer Science and Engineering Prince Shri Venkateshwara Padmavathy Engineering College TN Department of Computer Science and Business System Nehru Institute of Technology T.M. Palayam Tamil Nadu India Department of Computer Science Engineering Karpagam Academy of Higher Education Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India Department of Computer Science & Engineering (CS and E) IES Institute of Technology and Management IES University Bhopal M.P India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

It datasets are widely utilized, shared, and repurposed without providing enough context for understanding the decision-making processes that led to their creation. It is necessary to modify system creation and use procedures to handle the concrete effects of how knowledge for model building is envisioned and used in real-world applications as AI systems assume more and more important roles. Documents are created at every phase of the data generation lifecycle to improve communication, aid in decision-making, and highlight the need of careful data work. By putting out this paradigm, we want to shed light on the choices and duties that are often disregarded while creating datasets, which is a crucial first step in bridging the duty of care gap in AI. This framework provides an essential and important resource for guaranteeing ethical AI activities, and it is in line with current developments in auditing procedures.

关键词： Ethics Decision making Smart healthcare Production Planning maintenance Stakeholders

来源：评论

学校读者我要写书评

暂无评论

A Robust Network Connection Across Internet of Things Devices Inside the Room with Visible Light Communication

A Robust Network Connection Across Internet of Things Device...

引用

2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent engineering, ICECONF 2023

作者： Banupriyal, N. Suresh, G. Nandhini, R. mathew, Anu mary Saravanan, L. Anitha, G. Department of Computer Science and Engineering R.M.K. Engineering College Chennai India Department of Electrical and Electronics Engineering Sona College of Technology Salem India Department of Electronics and Communication Engineering Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College Chennai India Department of Electronics and Communication Engineering Mar Baselios Christian College of Engineering and Technology Kerala India Department of Electronics and Communication Engineering Peri Institute of Technology Chennai India Department of Electronics and Communication Engineering Saveetha School of Engineering Chennai India

ISBN: (纸本)9798350334357

In order to better monitor and engage with the communal assets of smart cities, the amount of Internet of Things (IoT) devices that have been installed has been continuously rising. This might result in a reduction in network efficiency as a consequence of the increasing volume of network traffic and connections brought about by different Internet of Things devices. In order to address these challenges, one approach that shows promise is to take advantage of the close physical proximity of communicating devices and to facilitate communication between individual devices in order to achieve low latency, efficient use of bandwidth, and reliable service. Taking use of new technologies like visible light and ultrasound, our study aims to improve the performance of indoor Internet of Things (IoT) connectivity in settings such as smart homes and small office and home offices (SOHO). This method expands the capacity of the network, ensures that network connections among IoT devices are stable, and offers effective ways to allow distance-bounding services. We have constructed communication modules for visible light and ultrasonic using off-the-shelf components, and we are now evaluating their network performance as well as their energy usage. © 2023 IEEE.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Fake News Prediction in Hindi and English Robust Transformer model

Fake News Prediction in Hindi and English Robust Transformer...

引用

2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023

作者： Sanmugasundaram, R. Dileepan, D. manikandan, m. Devi, m. Kiruthiga Ramya, N. Rajalakshmi Institute of Technology Dept. of Electronics and Communication Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Dept. of Electronics and Communication Chennai India Dr. M.G.R. Educational and Research Institute Dept. of Information Technology Chennai India Sri Sairam Engineering College Dept. of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350319200

The ever-growing consumption of information from digital platforms such as social media has paved the way for information dissemination like never before, but not necessarily all the information or news delivered to us is authentic or holds true to reality. A huge amount of information is created and shared by social media users, some of which are manipulative and have no influence on reality, and can cause harm in a variety of ways. Implementation of an automated or AI-based system to classify text articles as misinformation is a challenging task as identifying the truth is complicated. An AI-based fake news prediction system is proposed to classify fake news from real ones by understanding the context of news and making decisions accordingly. To identify fake news by examining the context of the news, a Bi-directional Encoder Representations from Transformers (BERT) model, a pretrained model with a more potent feature extractor, has been implemented. BERT is well suited for tasks like predicting fake news because of its extensive contextualizing capabilities. The novelty of this paper is that the proposed system is trained, tested, and evaluated in 2 languages, English and Hindi to develop an overall reliable system to predict fake news in both languages. Two models of BERT namely DeBERTa and XLm-RoBERTa are chosen for the prediction of fake news. Further improvement in the model is achieved by using the additional news data to pre-train this model. Also, the model is fine-tuned to fit the requirements and to get the optimum result possible. The performance comparison of the chosen models is made and it is observed that the XLm-RoBERTa has improved accuracy over DeBERTa while testing for both languages. © 2023 IEEE.

关键词： API interface DeBERTa encoder fake news GPU XLm-RoBERTa

来源：评论

学校读者我要写书评

暂无评论

Wind Turbine Instrumentation System using Labview 3

Wind Turbine Instrumentation System using Labview

引用

3rd International Conference on Intelligent Computing, Instrumentation and Control technologies, ICICICT 2022

作者： Sudharsan, G. Srinivasa Vishnupriyan, J. Anand, K. Vijay Chidambarathanu, K. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Dept. of Ece Chennai India Chennai Institute of Technology Center for Energy Research Chennai India R.M.K. Engineering College Department of Electronics and Instrumentation Engineering Chennai India R.M.K. Engineering College Department of Computer Science and Business Systems Chennai India

ISBN: (数字)9781665410052

ISBN: (纸本)9781665410052

This work proposes an electronics circuit-based monitoring and control panel for wind turbines. In the wind business, wind turbine monitoring is a critical task. This work describes the process of building a monitoring and control panel system that uses LabVIEW to record and analyze various metrics such as wind speed, wind direction, tip speed ratio, energy generated, power and current power using LabVIEW and buzzer indication. The measuring equipment must function properly in order to produce the highly qualified data required for an accurate wind gust prediction. This work aims to create a promising measuring and monitoring system for wind parameter measurement. The graphical user interface makes even the most critical processes much easier to control and monitor. © 2022 IEEE.

关键词： Wind turbines

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach to Design Secured and Privacy Enabled Health Data Linkage System based on Cyber Security Principles

A Novel Approach to Design Secured and Privacy Enabled Healt...

引用

Big Data & machine Learning (ICBDmL), IEEE International Conference on

作者： Gayathri S A. Jaya mabel Rani Anushalin P. S C.N. Ravi m. Jeyalaxmi V. Samuthira Pandi Department of Computer Science and Engineering R.M.K. Engineering College Tamil Nadu India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Department of Biomedical Engineering Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College Avadi Chennai Department of Computer Science and Engineering CMR Engineering College Hyderabad Medchal Department of Physics Prince Shri Venkateshwara Padmavathy Engineering College Chennai Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai Tamil Nadu India

ISBN: (数字)9798350374100

ISBN: (纸本)9798350374117

medical records from a variety of sources must be integrated into healthcare data repositories for knowledge discovery to be possible. An essential area of study is how to keep records linked when merging medical data. Researchers have proposed many solutions to this issue, all of which are relevant to industrialized nations that use patient identification numbers such as social security numbers, health insurance numbers, universal patient identifiers (UPIs), etc., to keep track of electronic health records. Because of issues with missing data, unclear patient identification, and excessive noise in patient information, these systems are not suitable for record linking of health data in underdeveloped nations. There is a serious concern that patients' personally identifiable information stored in electronic health records poses a threat to their privacy and leaves health information systems open to intrusion. We have examined the real-world challenges of healthcare data collection and integration for a national health data warehouse in this article. To accommodate the limited health data of poor nations like Bangladesh, we have developed privacy-preserving secured record linkage architecture we call Secured Health Data Handler (SHDH). For the purpose of facilitating the knowledge discovery process, our approach may anonymize identifying private data of patients while preserving record linkage in integrated health repositories. Even without a standard ID, our suggested strategy was able to connect records with sufficient accuracy for noisy data, according to the experimental results.

关键词： Couplings Data privacy Sociology Data warehouses Knowledge discovery Security Electronic medical records

来源：评论

学校读者我要写书评

暂无评论

Unifying Sky and Chain: A Perspective on Blockchain’s Role in UAV Swarms

Unifying Sky and Chain: A Perspective on Blockchain’s Role ...

引用

Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), IEEE International Conference on

作者： Abhishek Phadke Chandra N Sekharan Karthik Kumar Vasudeva Dulal Kar Department of Physics Computer Science and Engineering Christopher Newport University Newport News Virginia USA Department of Computer Science Texas A&M University-Corpus Christi Corpus Christi Texas USA Department of Mathematics and Statistics Texas Tech University Lubbock Texas USA

ISBN: (数字)9798331529529

ISBN: (纸本)9798331529536

UAV (Unoccupied Aerial Vehicle) swarms are coordinated agents working towards accomplishing a common goal in a dynamic environment. The nature of the environment is such that these swarms can always benefit from upgrades to their operation, behavior, and security. Incorporating blockchain technology into UAV swarms presents a transformative approach to enhancing their security, operations, and coordination. Blockchain is a decentralized ledger technology that offers a robust solution to scalability, data integrity, and trust challenges in many modern world systems. It can also be a potentially excellent method to enhance UAV swarm systems. By harnessing its security, transparency, and immutability characteristics, blockchain can offer a range of advantages to current deployments. This study categorizes the various areas of UAV swarm systems that benefit from this integration, briefly reviews current methods and architecture, and discusses three prominent case studies for integration. Thorough an examination of current trends, it is concluded that blockchain technology can significantly boost its target systems’ capabilities, paving the way for advanced and reliable aerial swarm operations.

关键词： technological innovation Sharding Reviews Scalability Smart contracts Autonomous aerial vehicles Regulation Blockchains Reliability Vehicle dynamics

来源：评论

学校读者我要写书评

暂无评论

Ain't How You Deploy: An Analysis of BGP Security Policies Performance Against Various Attack Scenarios with Differing Deployment Strategies1

Ain't How You Deploy: An Analysis of BGP Security Policies P...

引用

International Symposium on Networks, computers and Communications (ISNCC)

作者： Seth Barrett Calvin Idom German Zavala Villafuerte Andrew Byers Berk Gulmezoglu School of Computer and Cyber Sciences Augusta University Augusta USA College of Engineering and Science Louisiana Tech University Ruston USA School of Computer Science Texas A&M University - San Antonio San Antonio USA School of Computing and Augmented Intelligence Arizona State University Tempe USA Electrical and Computer Engineering Iowa State University Ames USA

ISBN: (数字)9798350364910

ISBN: (纸本)9798350364927

This paper investigates the performance of various Border Gateway Protocol (BGP) security policies against multiple attack scenarios using different deployment strategies. Through extensive simulations, we evaluate the effectiveness of defensive mechanisms such as Root Origin Validation (ROV), Autonomous System Provider Authorization (ASPA), and PeerROV across distinct AS deployment types. Our findings reveal critical insights into the strengths and limitations of current BGP security measures, providing guidance for future policy development and implementation.

关键词： computers Authorization Autonomous systems Current measurement Border Gateway Protocol Security Protection

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-Based Analysis of Liquid Biopsies for Uterus Cancer Biomarker Discovery 9

Deep Learning-Based Analysis of Liquid Biopsies for Uterus C...

引用

9th IEEE International Conference on Smart Structures and Systems, ICSSS 2023

作者： Lalitha, S. Haque, mohammed Irfanul Sujay, V. Shenbagapriya, m. Ganapathy, G. Salyan, Srikanth R&d Institute of Science and Technology Vel Tech Rangarajan Dr.Sagunthala Department of Cse Tamil Nadu Chennai India Jamia Millia Islamia Faculty of Dentistry Department of Anaesthesiology New Delhi India Krishna University College of Engineering and Technology Department of Computer Science and Engineering Andhra Pradesh Machilipatnam India Muthayammal Engineering College Department of BioMedical Engineering Tamilnadu Namakkal India R.M.D. Engineering College Department of Mathematics Tamil Nadu Chennai India Dayananda Sagar College of Engineering Department of Aeronautical Engineering Karnataka Bengaluru India

ISBN: (纸本)9798350384208

In regard to the critical nature of early cancer detection, including uterine cancer, non-invasive liquid biopsies are demonstrating their utility. The present study presents an innovative deep-learning approach specifically designed for the examination of liquid specimens, aiming to detect potential biomarkers associated with uterine cancer. By employing advanced neural network architectures and sizable genomic datasets, the methodology discerns particular molecular markers that are correlated with uterine cancer. The implementation of personalized treatment plans and early intervention strategies to enhance patient outcomes is a feasible prospect rendered feasible by the results of this study. This innovative methodology signifies a turning point in the continuous effort to combat uterine cancer and exemplifies the potential transformative effects that deep learning techniques could have on cancer prognosis and precision medicine. © 2023 IEEE.

关键词： Biopsy

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117页 << < 25 26 27 28 29 30 31 32 33 34 > >>

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：