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

18,465 篇 会议
113 篇 期刊文献
15 册 图书

馆藏范围

18,593 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

11,933 篇 工学
- 9,501 篇 计算机科学与技术...
- 5,441 篇 软件工程
- 3,065 篇 电气工程
- 2,918 篇 控制科学与工程
- 2,503 篇 信息与通信工程
- 952 篇 仪器科学与技术
- 926 篇 交通运输工程
- 923 篇 机械工程
- 639 篇 生物工程
- 619 篇 电子科学与技术（可...
- 551 篇 动力工程及工程热...
- 536 篇 生物医学工程（可授...
- 480 篇 安全科学与工程
- 380 篇 网络空间安全
- 377 篇 石油与天然气工程
- 257 篇 光学工程
2,970 篇 管理学
- 2,240 篇 管理科学与工程(可...
- 1,119 篇 图书情报与档案管...
- 855 篇 工商管理
2,929 篇 理学
- 1,497 篇 数学
- 783 篇 生物学
- 500 篇 统计学（可授理学、...
- 481 篇 物理学
- 390 篇 系统科学
- 389 篇 化学
606 篇 医学
- 502 篇 临床医学
- 438 篇 基础医学(可授医学...
- 250 篇 公共卫生与预防医...
325 篇 法学
- 273 篇 社会学
277 篇 经济学
- 272 篇 应用经济学
172 篇 教育学
149 篇 农学
32 篇 文学
31 篇 军事学
11 篇 艺术学

主题

1,144 篇 data acquisition
765 篇 data mining
564 篇 data models
560 篇 real-time system...
443 篇 intelligent syst...
424 篇 big data
420 篇 conferences
406 篇 cloud computing
377 篇 internet of thin...
354 篇 computational mo...
343 篇 monitoring
320 篇 computer archite...
318 篇 sensor systems
313 篇 machine learning
306 篇 control systems
303 篇 training
296 篇 feature extracti...
295 篇 deep learning
285 篇 robot sensing sy...
281 篇 neural networks

机构

49 篇 university of ch...
42 篇 lviv polytechnic...
29 篇 hubei key labora...
25 篇 school of comput...
20 篇 west ukrainian n...
18 篇 beijing key labo...
17 篇 shenzhen institu...
17 篇 chitkara univers...
16 篇 university of el...
15 篇 lovely professio...
15 篇 school of comput...
15 篇 institute of aut...
14 篇 faculty of compu...
14 篇 school of artifi...
14 篇 shenzhen institu...
14 篇 peng cheng labor...
13 篇 ieee
13 篇 college of compu...
12 篇 key laboratory o...
12 篇 beijing univ pos...

作者

25 篇 anatoliy sachenk...
22 篇 wu xinyu
18 篇 anatoly sachenko
16 篇 a. sachenko
16 篇 liu yang
16 篇 xiong gang
15 篇 chen chen
14 篇 sachenko anatoli...
12 篇 xinyu wu
12 篇 li yang
12 篇 yang yang
11 篇 zhang tao
11 篇 wang lei
11 篇 li peng
11 篇 li li
11 篇 kurosh madani
11 篇 sachenko a.
11 篇 wu bin
11 篇 iryna turchenko
11 篇 golovko vladimir

语言

18,118 篇 英文
408 篇 其他
81 篇 中文
2 篇 西班牙文

检索条件"任意字段=IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems"

共 18593 条记录，以下是41-50 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：

Audit Risk Identification based on Mutual Information with Backpropagation Neural Network 1

Audit Risk Identification based on Mutual Information with B...

引用

1st international conference on intelligent systems and Computational Networks, ICISCN 2025

作者： Su, Di Tianjin Tianshi College Tianjin China

ISBN: (纸本)9798331529246

In recent years, identifying audit risk had become important for maintaining financial transparency and detecting fraud. Instead of focusing solely on risk valuation, there had been an increased demand for advanced audit systems. The existing methods suffer from irrelevant feature inclusion, slow convergence in audit risk classification. Therefore, this research proposes Mutual Information based Backpropagation Neural Network (MI-BPNN) for identifying audits risks. Initially, audit data dataset is taken which incorporated audit data information of various firms. The collected audit is preprocessed by utilizing data cleaning which removes errors and normalization for ensuring uniform. Then this audit data features are selected by employed MI method for selecting the most informative indicators. The selected relevant features are evaluated for detecting the fraudulent firms by utilizing BPNN method. The proposed MI-BPNN achieved better results which comprises accuracy of (98.58%), specificity of (97.95%), sensitivity of (96.69%), and recall of (97.20%) when compared with existing Long Short-Term Memory (LSTM). © 2025 ieee.

关键词： audit risk identification backpropagation neural network data cleaning fraudulentfirms mutual information

来源：评论

学校读者我要写书评

暂无评论

Integrating Big data Analytics in Soil Quality Assessment: Techniques, Challenges, and Applications 3

Integrating Big Data Analytics in Soil Quality Assessment: T...

引用

3rd international conference on intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Mohammed, Shehu Singh, Arun Hanif, Md Abu Lovely Professional University Department of Computer Applications Phagwara India Lovely Professional University Department of Computer Science and Engineering Phagwara India Department of Computer Science 365 5th Ave New YorkNY110016 United States

ISBN: (纸本)9798331515911

This review paper investigates the application of Big data analytics, focusing on soil quality assessment, with an emphasis on the innovative benefits offered by modern data-driven techniques for improved soil management. With world food demands rising, the importance for real-time and exact soil quality monitoring has increased. Although still useful, traditional approaches to modeling are limited in their ability to capture the spatial and temporal variability of soil properties. Big data analytics sits as the answer to the above by facilitating extensive and large volume data processing resulting in better, on-demand and scalable soil quality assessment. In the paper, we describe machine learning algorithms, remote sensing and geospatial analysis as key techniques to mine soil data at scales and resolutions unprecedented so far. We also critically evaluate the challenge of data integration (heterogeneity, scalability and multi-disciplinarity). These analytics are scalable for assessment and decision-making in precision agriculture, sustainable land management and environmental conservation. Thus, this paper synthesizes current research and practical implications in support of the need for Big data analytics within soils and soil sciences to cover also future challenges. Future research directions are also highlighted, including the importance of improved data acquisition and algorithmic advances as well greater synergy between Big data and conventional soil science practices.. © 2025 ieee.

关键词： data quality

来源：评论

学校读者我要写书评

暂无评论

Securing the internet of things communication and data transmission by using Blockchain based Architecture 3

Securing the internet of things communication and data trans...

引用

3rd international conference on intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Sheetal Kumari, Vasantha Badiger, Veena S Presidency College Department of Computer Applications Bengaluru India

ISBN: (纸本)9798331515911

Due to the rapid growth of technology usage of Internet of Things devices has revolutionized in multiple domains and areas, but still there are few challenges to address like security and performance issues. Most of the traditional approaches are not sufficient in solving those issues related to IoT ecosystems. This paper aims to present a block chain technology-based solution to the problems of security challenges and improvement in integrity, confidentiality, and availability for IoT systems. The features of Block chain in the sense of an immutable nature help secure the IoT system to share data with others, enhance authentication, and transparency. The integration of block chain with IoT devices can also ensure data provenance thus creating an environment for trust with users and stakeholders. To build this blockchain-based IoT system, the proposed architecture ensures a framework of not only ensuring the security of the IoT ecosystem but also sustainability. Future work will be based on designing prototypes and applications within real-world environments to validate the effectiveness of these proposed solutions in various IoT scenarios. © 2025 ieee.

关键词： Blockchain Technology challenges IoT architecture security

来源：评论

学校读者我要写书评

暂无评论

AI2DS: advanced Deep Autoencoder-Driven Method for intelligent Network Intrusion Detection systems 4

AI2DS: Advanced Deep Autoencoder-Driven Method for Intellige...

引用

4th ieee international conference on Artificial Intelligence in Cybersecurity, ICAIC 2025

作者： Rahman, Md Habibur Martinez, Leo Mishra, Avdesh Nijim, Mais Goyal, Ayush Hicks, David Texas A&M University-Kingsville Department of Electrical Engineering and Computer Science KingsvilleTX78363 United States

ISBN: (纸本)9798331518882

Network security is a growing concern as digital infrastructure expands, and traditional measures struggle against modern cyber threats. With the increasing complexity of attacks, there is a need for more adaptive and intelligent solutions. This research introduces AI2DS (advanced Deep Autoencoder-Driven Method for intelligent Network Intrusion Detection systems), an autoencoder-based architecture that enhances security by identifying deviations from normal network behavior. The model is trained on normal data, using reconstruction errors to detect anomalies through adaptive thresholding. By simplifying attack classification into a single 'intrusion' class, AI2DS demonstrates high accuracy and broad applicability. The model shows average improvements of 6.61%, 31.11, 11.46%, and 16.91 in Precision, Recall, F1 Score, and Accuracy, respectively, over state-of-the-art methods, with potential for real-time application and future advancements. © 2025 ieee.

关键词： Network intrusion

来源：评论

学校读者我要写书评

暂无评论

RFID Door Lock Access Control systems: Trends, Technologies and Applications 3

RFID Door Lock Access Control Systems: Trends, Technologies ...

引用

3rd international conference on intelligent data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Nair, Adwaith A. Adithyan, R. Unni, Akshara Nalinakshan, Shankar Department of Electrical and Electronics Engineering Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9798331527549

Radio Frequency Identification (RFID) door lock systems are at the forefront of modern access control technology, combining security, convenience, and scalability. This paper presents a comprehensive review of RFID-based access control systems, highlighting their fundamental components, operational mechanisms, and advantages over traditional methods. Key innovations in RFID technology, such as integration with IoT platforms and mobile devices, are discussed in the context of enhancing system functionality and user experience. Moreover, this paper examines the challenges associated with RFID implementations, including data security vulnerabilities, signal interference, and high installation costs, while suggesting potential solutions. Through this analysis, the paper highlights the growing relevance of RFID access systems in residential, commercial, and industrial environments, paving the way for further advancements in secure and intelligent access control *** research identifies key challenges in traditional access control systems, such as susceptibility to breaches, lack of scalability, and operational inefficiency. RFID door lock systems emerge as an advanced solution, integrating wireless communication, IoT platforms, and mobile devices to address these limitations. This study presents an in-depth analysis of RFID systems, highlighting their components, operational mechanisms, and comparative advantages. Considering issues such as vulnerability to data security, interference signals, and a high price tag for the installation, this paper suggests possibilities with solutions of viable, secure, scalable, and intelligent access control systems. Hence, the transformative RFID technology into a residential, commercial, or industrial domain holds an immense study area. © 2025 ieee.

关键词： Radio frequency identification (RFID)

来源：评论

学校读者我要写书评

暂无评论

Explaining Cyber Risks in Transportaion 5.0: A data Driven Approach 4

Explaining Cyber Risks in Transportaion 5.0: A Data Driven A...

引用

4th ieee international conference on Artificial Intelligence in Cybersecurity, ICAIC 2025

作者： Tandan, Binod Vajpayee, Prashant Hossain, Gahangir University of North Texas Dept. of Informtation Science DentonTX United States

ISBN: (纸本)9798331518882

The primary objective of the research is to explore the cybersecurity risks associated with AI-enabled intelligent transportation systems (Transportation 5.0) within the context of developing future smart cities. In Transpiration 5.0, the critical infrastructure increasingly relies on automated systems, which enhances the threat of ransomware attacks, specifically targeting vital cyber-physical systems (CPS), smart grids, and intelligent transportation systems (ITS). The paper explores transportation ransomware attack data to incorporate advanced visualization and extract relevant data attributes for cyber risk evaluation. The study uses the NIST risk management framework and ISACA risk quantification to develop a cyber risk evaluation method. With the findings of the literature review, the research highlights ransomware as a significant threat to intelligent transportation systems (ITS), given the negative impact of malware on IoT, IIoT, and network-connected devices. While substantial research exists on malware detection techniques, performance, accuracy, and cloud-based strategies, it's crucial for organizations to comprehend the risks of ransomware attacks to implement effective security controls and enable cyber excellence. The research executes exploratory data analysis on the given dataset to find out the correlation between different attributes such as severity, data loss, affected systems, and ransom amount for evolving a risk method to evaluate cyber risk. The focus is to simplify the risk evaluation process by fitting the right data attributes into a standard risk management framework and risk formula for broader reusability. The method was applied to different transportation modes to calculate the risk scores respectively and generate insights accordingly. The overall analysis supports that effective risk predictions along with consistent monitoring can help to control ransomware attack incidents and improve cyber resiliency. This paper proposes a data-d

关键词： Cyber attacks

来源：评论

学校读者我要写书评

暂无评论

Efficiency Redefined: Impact of Reducing data acquisition Rate for Optimized TinyML in Resource-Constrained IoT Devices 17

Efficiency Redefined: Impact of Reducing Data Acquisition Ra...

引用

17th international conference on COMmunication systems and NETworkS, COMSNETS 2025

作者： Saha, Bidyut Samanta, Riya Ghosh, Soumya K. Roy, Ram Babu Indian Institute of Technology Kharagpur India

ISBN: (纸本)9798331531195

Tiny Machine Learning (TinyML) enables cost-effective, privacy-focused machine learning inference on micro-controller units (MCUs) connected to sensors. For these resource-limited settings, achieving an optimized design is essential. This study examines the impact of reducing data acquisition rates on TinyML models designed for time series classification, especially in battery-powered IoT devices with tight resource constraints. By decreasing sampling frequency, we aim to lower computational requirements - such as RAM usage, energy consumption, latency, and multiply-accumulate (MAC) operations - by approximately four times while preserving classification accuracy. Experiments conducted with six benchmark datasets (UCIHAR, WISDM, PAMAP2, MHEALTH, MIT-BIH, and PTB) indicate that reduced data acquisition rates substantially lessen energy demands and computational overhead with minimal impact on accuracy. For instance, lowering the acquisition rate by 75% for the MIT-BIH and PTB datasets resulted in a 60% reduction in RAM use, 75% fewer MAC operations, 74% shorter latency, and a 70% decrease in energy consumption, all without compromising accuracy. These findings offer key insights into the deployment of optimized TinyML models in constrained environments. © 2025 ieee.

关键词： Machine Learning Neural Network Optimization On-Device computing Resource-constrained Environments TinyML

来源：评论

学校读者我要写书评

暂无评论

Load balancing promotes effective IoT-based data transfer in Snowflake Storage systems 3

Load balancing promotes effective IoT-based data transfer in...

引用

3rd international conference on intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Jesupriya, J. Kavitha, M. Deeksha Presidency University India Presidency College Bengaluru India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515911

In networked devices, efficient data transportation is important for guaranteeing dependable and scalable Internet of Things (IoT) infrastructures. For this purpose, in the current work, a dynamic load-balancing mechanism is proposed to optimize the data transfer between Internet of Things nodes and Snowflake data storage. It may be fairly distributing the distributed data between IoT nodes, but traditional round-robin load balancing often overlooks the difference in node performance, which may lead to inefficient data transfer. A solution to this problem is a dynamic load-balancing mechanism that depends on nodes in real-time performing, hence its variation with transfer speed and latency. This system would dynamically select the most effective nodes that are to transmit the data and would ensure quicker and more dependable delivery of information. In the following simulation, round-robin and dynamic load-balancing strategies are compared using ten IoT nodes that are sending segmented data to a Snowflake server. Outcomes: These show that although the round-robin accomplishes reduced latency and faster transfer rates, the dynamic approach presents a fairer distribution of the load as well as reduces the possibility of node overloading while enhancing overall system robustness in the long term. This work adds to the future prospects of IoT load-balancing solutions, thus vividly showing how round-robin and dynamic approaches could present trade-offs between one another. © 2025 ieee.

关键词： Snow melting systems

来源：评论

学校读者我要写书评

暂无评论

Privacy Preserving Attribute based Access Control with data Deduplication using RSA-BLAKE3-OCO for Secure Cloud Storage 1

Privacy Preserving Attribute based Access Control with Data ...

引用

1st international conference on intelligent systems and Computational Networks, ICISCN 2025

作者： Gayathri, G.N. Channakrishnaraju Sri Siddhartha Academy of Higher Education Department of Computer Science and Engineering Tumkur India

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529246

Nowadays, cloud storage is one of the popular application models in various fields, where the security and access permission of storage data are widely considered. De-duplication algorithms are designed to mitigate redundant storage of data in the cloud. However, the main problem was data duplication which occupied the storage in many cloud storage systems that require an appropriate data security model. To overcome this problem, Rivest-Shamir-Adleman (RSA) - BLAKE3 based Optimal Cache Oblivious (OCO) demonstrates ensured access and privacy while removing the duplicates in cloud computing. The combination of RSA and BLAKE-3 is used to maintain efficient attribute exchange and prevent data leakage and privacy violations. In addition, the OCO technique is used to hide the access pattern in the cloud storage and copy the data by matching the random pattern. This process ensures data privacy and secure data sharing in cloud storage by avoiding data corruption. The result analysis clearly shows that the proposed RSA-BLAKE3-OCO attains a communication overhead of 11MB, a data integrity rate of 93% and a data confidentiality rate of 95% from 50 files which is better when compared with the existing methods. © 2025 ieee.

关键词： data integrity

来源：评论

学校读者我要写书评

暂无评论

intelligent Rail Sentinel a perspective of Indian Railway

Intelligent Rail Sentinel a perspective of Indian Railway

引用

2025 ieee international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Limgaokar, Arun D. Hinge, Sharvari S. Vinchu, Yash S. Rane, Vivek S. Patel, Prashant B. Vibhute, Anup Department of Instrumentation Engineering Dr. D.Y. Patil Institute of Technology Maharashtra Pimpri Pune India

ISBN: (纸本)9798331529833

The paper presents a PLC and SCADA-based advanced safety system design for railway signaling and interlocking. While the Indian Railway systems are infrequently beset by issues, a solitary mishap over an extended timeframe might profoundly adversely affect various facets of life and property. These issues can be resolved through the implementation of interlocking and railway signaling systems. In railways, railway personnel continue to supervise the signaling and interlocking systems, which remain partially manual. The implementation of PLC and SCADA can effectively address these challenges. The primary objective of this paper is to examine dispatcher telecommunications with crews, telecommunications with signals governing switchgears, signals monitoring track temperature, and the acquisition and storage of real-time video through CCTV for telecommunications in emergencies and automatic railway gates. The proposed solution depends on PLCs that can execute signaling and interlocking functions automatically. Moreover, these processes can be altered, monitored, and corrected through the use of a SCADA system, hence minimizing human participation and alleviating safety issues. © 2025 ieee.

关键词： SCADA systems

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 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：