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

3,531 篇 会议
2,363 篇 期刊文献
43 册 图书

馆藏范围

5,937 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,718 篇 工学
- 2,848 篇 计算机科学与技术...
- 2,336 篇 软件工程
- 982 篇 信息与通信工程
- 572 篇 控制科学与工程
- 523 篇 电气工程
- 418 篇 生物工程
- 341 篇 电子科学与技术（可...
- 254 篇 网络空间安全
- 241 篇 生物医学工程（可授...
- 219 篇 机械工程
- 201 篇 安全科学与工程
- 181 篇 光学工程
- 152 篇 仪器科学与技术
- 149 篇 动力工程及工程热...
- 136 篇 化学工程与技术
- 135 篇 交通运输工程
1,585 篇 理学
- 831 篇 数学
- 455 篇 生物学
- 326 篇 物理学
- 264 篇 统计学（可授理学、...
- 216 篇 系统科学
- 144 篇 化学
977 篇 管理学
- 618 篇 管理科学与工程(可...
- 399 篇 图书情报与档案管...
- 307 篇 工商管理
300 篇 法学
- 191 篇 社会学
269 篇 医学
- 218 篇 临床医学
- 200 篇 基础医学(可授医学...
- 122 篇 公共卫生与预防医...
129 篇 经济学
- 128 篇 应用经济学
58 篇 农学
50 篇 教育学
41 篇 军事学
16 篇 文学
13 篇 艺术学
1 篇 历史学

主题

220 篇 accuracy
202 篇 deep learning
183 篇 feature extracti...
182 篇 machine learning
180 篇 security
158 篇 internet of thin...
155 篇 training
143 篇 computational mo...
126 篇 authentication
118 篇 real-time system...
103 篇 privacy
96 篇 support vector m...
96 篇 blockchain
95 篇 cryptography
94 篇 predictive model...
94 篇 protocols
89 篇 artificial intel...
83 篇 convolutional ne...
77 篇 data models
74 篇 optimization

机构

213 篇 school of cyber ...
168 篇 institute of inf...
68 篇 college of cyber...
60 篇 school of comput...
58 篇 school of cyber ...
57 篇 school of cyber ...
53 篇 school of comput...
50 篇 school of cyber ...
49 篇 school of cyber ...
42 篇 department of me...
42 篇 college of compu...
41 篇 department of co...
41 篇 state key labora...
38 篇 department of co...
37 篇 department of cy...
37 篇 department of co...
33 篇 department of co...
31 篇 school of comput...
29 篇 college of compu...
28 篇 department of el...

作者

51 篇 choo kim-kwang r...
41 篇 zhou pan
34 篇 das ashok kumar
30 篇 huang qingming
28 篇 cao xiaochun
26 篇 mohammad kamrul ...
26 篇 muhaidat sami
25 篇 hai jin
22 篇 hu shengshan
20 篇 sofotasios pasch...
20 篇 wang wei
19 篇 peng hao
19 篇 yang zhiyong
19 篇 walid el-shafai
18 篇 ashok kumar das
18 篇 kim-kwang raymon...
18 篇 jin hai
17 篇 ma jianfeng
17 篇 han zhu
17 篇 mahmood khalid

语言

5,320 篇 英文
556 篇 其他
62 篇 中文
1 篇 德文
1 篇 法文
1 篇 日文
1 篇 朝鲜文

检索条件"机构=Department of Cyber Security and Computer Engineering Technology"

共 5937 条记录，以下是451-460 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：

An Industrial Robot Path Planning Method Based on Improved Whale Optimization Algorithm 1

引用

18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023

作者： Huang, Peixin Dong, Chen Chen, Zhenyi Zhen, Zihang Jiang, Lei College of Computer and Data Science Fuzhou University Fuzhou350116 China Fuzhou China Department of Computer Science and Engineering University of South Florida TampaFL33620 United States College of Computer and Cyber Security Fujian Normal University Fuzhou350007 China

ISBN: (数字)9789819998937

ISBN: (纸本)9789819998920

With the development of technology, robots are gradually being used more and more widely in various fields. Industrial robots need to perform path planning in the course of their tasks, but there is still a lack of a simple and effective method to implement path planning in complex industrial scenarios. In this paper, an improved whale optimization algorithm is proposed to solve the robot path planning problem. The algorithm initially uses a logistic chaotic mapping approach for population initialization to enhance the initial population diversity, and proposes a jumping mechanism to help the population jump out of the local optimum and enhance the global search capability of the population. The proposed algorithm is tested on 12 complex test functions and the experimental results show that the improved algorithm achieves the best results in several test functions. The algorithm is then applied to a path planning problem and the results show that the algorithm can help the robot to perform correct and efficient path planning. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Industrial robots

来源：评论

学校读者我要写书评

暂无评论

Energy-Aware Reliable Routing with Blockchain security for Heterogeneous Wireless Sensor Networks 5th

Energy-Aware Reliable Routing with Blockchain Security for H...

引用

5th International Conference on Advances in Information Communication technology and Computing, AICTC 2024

作者： Swapna, M.P. Ramkumar, J. Karthikeyan, R. Center for Cyber Security Systems and Networks Amrita Vishwa Vidyapeetham Kollam Amritapuri India Department of Information Technology & Cognitive Systems Sri Krishna Arts & Science College Coimbatore India Department of Computer Technology Sri Krishna Adithya College of Arts and Science Coimbatore India

ISBN: (纸本)9789819761050

Wireless sensor networks, the dynamic networks with spatially dispersed sensors are used indispensably in a wide range of applications. Heterogeneous wireless sensor networks represent a collection of sensor nodes of varying capabilities. However, if the energy in the network is not handled effectively, the resource-constrained sensors may reach an early death, affecting the network lifetime. security and routing are the two vital phenomena in wireless sensor networks that need careful and effective algorithmic execution. The proposed approach is an energy-aware routing algorithm combined with secure data transmission. TDDSRP is an innovative protocol to ensure security while reducing energy consumption. The residual energy and the direct trust value of nodes are crucial parameters to evaluate the energy trust value. The effectiveness of the protocol is tested against the existing counterparts using MATLAB simulations. The experimental results illustrate the performance of the protocol in energy consumption rate, throughput, and security measures. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Systematic Analysis of Machine Learning Techniques for Machine Idle Time Detection Using Industrial Internet of Things (IIOT)

Systematic Analysis of Machine Learning Techniques for Machi...

引用

International Conference on Communication and Electronics Systems (ICCES)

作者： Kamineni B T Sundari B. Janet Department of Computer Science Engineering -Cyber Security Geetanjali College of Engineering and Technology Medchal district Telangana India Department of Computer Applications National Institute of Technology Tiruchirappalli Tamilnadu India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377989

Given the IOT's huge success in linking consumer electronics, we see a natural trend toward connecting devices in industrial settings, dubbed the Industrial Internet of Things or Industry 4.0. Conventional production systems often include several machines and buffers, each of which may have an impact on the state of the machines surrounding it. Machines may remain idle if upstream components do not arrive fast enough, or if demand for those components exceeds capacity in the downstream sector of the production chain. Idle equipment may waste energy without adding to output if suitable energy management measures are not followed. Modern machine learning (ML) approaches are beneficial in increasing idle time detection. This manuscript offers a thorough analysis of the current academic literature about the integration of idle time detection within the industrial Internet of Things (IoT).

关键词： Production systems Systematics Computational modeling Biological system modeling Machine learning Real-time systems security Unsupervised learning Industrial Internet of Things Predictive maintenance

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Supported Network Attack Detection with a Novel Method Based on Random Forest-Based Feature Fusion 17

Machine Learning Supported Network Attack Detection with a N...

引用

17th International Conference on Information security and Cryptology, ISCTurkiye 2024

作者： Cinar, Cihan Dogru, Ibrahim Alper Atacak, Ismail Information Security Engineering Graduate School of Natural and Applied Sciences Gazi University Ankara Turkey Department of Computer Engineering Faculty of Technology Gazi University Ankara Turkey

ISBN: (纸本)9798331533649

Nowadays, Innovative techniques, including artificial intelligence and machine learning (ML), have been employed in attack detection systems across numerous domains to create effective detection mechanisms that identify attacks more quickly and accurately. In this study, we propose a novel machine learning-based method that utilizes Random Forest (RF)-based feature fusion (RFBFF) to detect anomalies in computer networks. This method integrates two basic procedures: feature fusion and classification. In feature fusion, unlike traditional feature selection, all features are utilized in the creation of the new data set. This allows for the incorporation of the impact of each feature on the outcome. The feature fusion procedure generates a reduced dataset by combining similar features based on RF-derived gain scores, while the classification procedure uses this refined dataset to label the attack status in the network using various ML algorithms. Specifically, Decision Tree (DT), K-Nearest Neighbor (k-NN), Additive Logistic Regression (Logitboost), and Naïve Bayes (NB) have been employed as classification algorithms. The effectiveness of the proposed method in network attack detection has been validated by comparing it with ML methods based on RF-based feature selection (RFBFS). For a robust comparison and see the performance of the model in the real world, the NSL-KDD and UNSW_NB15 data sets, which contain data packet examples of normal or attack traffic that can be encountered in the internet environment, categorized with binary classification, were preferred as the benchmark data set. Experimental results demonstrate that the proposed approach excels in detecting network attacks, achieving an accuracy rate of 0.995 on the NSL-KDD dataset and 0.924 on the UNSW-NB15 dataset. Leveraging the gain scores of all features, even if they are relatively low, has been found to positively impact the model's overall performance. © 2024 IEEE.

关键词： Network intrusion

来源：评论

学校读者我要写书评

暂无评论

Forensics Analysis of TOR Browser

Forensics Analysis of TOR Browser

引用

International Conference on Information security, Privacy, and Digital Forensics, 2022

作者： Kumar, Adarsh Sondarva, Kumar Gohil, Bhavesh N. Patel, Sankita J. Shah, Ramya Rajvansh, Sarang Sanghvi, H.P. Computer Engineering Department Sardar Vallabhbhai National Institute of Technology Gujarat Surat395-007 India School of Cyber Security and Digital Forensics National Forensic Sciences University Gujarat Gandhinagar382007 India Directorate of Forensic Science Gujarat Gandhinagar India

ISBN: (纸本)9789819950904

The Onion Router is a web browser that uses the Tor network to anonymize web traffic by making it simple to conceal one’s identity on social media. It uses the onion routing technology to access the multiple-level encrypted, Internet-impossible private mode. These features are being abused to engage in a variety of criminal activities, including cyber terrorism and the black market. The TOR erases all browsing history and other network traces, making it impossible for investigators to gather evidence. This study extracts and examines any potential artifacts that the TOR browser may have produced in local system files and memory dumps. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Routing protocols

来源：评论

学校读者我要写书评

暂无评论

Customized Criteria Based Trending Analysis for YouTube Platform

Customized Criteria Based Trending Analysis for YouTube Plat...

引用

2023 IEEE Conference on computer Applications, ICCA 2023

作者： Nyunt, Khin Than Khin, Naw Thiri Wai Naypyitaw Technological University Faculty of Computer Engineering and Information Technology Myanmar University of Technology Department of Information Science Yatanarpon Cyber City Myanmar

ISBN: (纸本)9781665435994

Users of today's technology regularly use direct applications and internet platform to access YouTube. Also, with the increase in YouTube users in the US today, the number of people making a living from YouTube has also skyrocketed. They are facing difficulty in choosing a YouTube Career because it is difficult to easily decide for which country which category and channel are most trending and suitable among the numerous categories and channels. If the user knows the most trending category or channel, can make the right career choice and become a potential successful YouTuber. Therefore, it has been proposed that YouTube Trending Analysis can help people who are having trouble choosing a job, particularly for those who wish to use YouTube to make a living. Pearson's Correlation Method is used to discover based on the parameters of each video's content, which careers are now trending the most in the United States (U.S). © 2023 IEEE.

关键词： Correlation methods

来源：评论

学校读者我要写书评

暂无评论

Secure Cloud Computing: Mitigating Network Vulnerabilities 15

Secure Cloud Computing: Mitigating Network Vulnerabilities

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Gopal, Santhosh Kumar Mohammed, Abdul Sajid Sreeramulu, Madhusudhan Dasari Srinivasan, Dhamodharan Charlotte NC United States University of the Cumberlands Dept of School of Computer and Information Sciences KY United States American Express Dept of Cyber Security United States Sri Eshwar College of Engineering Department of Computer and Communication Engineering Tamil Nadu Coimbatore641202 India

ISBN: (纸本)9798350370249

As businesses increasingly depend on these cloud-based services, secure cloud computing is vital. There is no free way with the cloud network, and our information is susceptible to vulnerability. Mitigation strategies to address these network vulnerabilities in cloud computing and analysis of the man-in-the-middle attack and Distributed Denial of Service (DDoS) attack are discussed in this paper. For instance: enhance network architecture, encryption, and security mechanisms like intrusion detection systems and firewalls. With these steps, organizations can further increase their cloud network security and protect data with zero breaches. © 2024 IEEE.

关键词： Access control cyber security Data protection Encryption Vulnerabilities

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Chest CT-Scan Anomaly Detection Models Using Principal Component Analysis 25

Evaluation of Chest CT-Scan Anomaly Detection Models Using P...

引用

25th International Arab Conference on Information technology, ACIT 2024

作者： Alyabrodi, Ala Al-Daja, Shrouq Injadat, MohammadNoor Moubayed, Abdallah Elrashidi, Ali Zarqa University Cyber Security Department Zarqa Jordan Zarqa University Data Science & Ai Department Zarqa Jordan King Fahd University of Petroleum & Minerals Research Center for Intelligent Secure Systems Computer Engineering Department and Interdisciplinary Dhahran Saudi Arabia University of Business and Technology Department of Electrical Engineering Jeddah21432 Saudi Arabia

ISBN: (纸本)9798331540012

Machine learning-based improvements in anomaly detection, visualization, and segmentation are made possible by the growing digitization of medical imaging, which reduces the workload for medical specialists. Nevertheless, trustworthy labeled data is necessary for supervised machine learning and is sometimes expensive, time-consuming, or impossible to get. Consequently, techniques that need either little labeling (unsupervised methods) or partial labeling (semi-supervised methods) have been used increasingly been used. One approach that can be used to tackle medical imaging tasks like segmentation and classification is anomaly detection, which makes use of both unsupervised and semi-supervised methods. This study investigates the anomaly detection capabilities of deep learning and machine learning models trained on chest CT scans. To adopt this approach, firstly, by evaluating several feature extraction techniques (Principal Component Analysis (PCA), Autoencoder, and variance threshold), PCA achieves the best results on the selected dataset. After that, different machine learning and deep learning models (Isolation Forest, K-means, feed-forward neural networks, and convolutional neural networks) are assessed to detect anomalies using PCA for dimensionality reduction. The experiments show that the NN-Feedforward model with PCA outperformed the other models, also attains remarkably low false alarm rate, demonstrating its effectiveness in reducing false positives and precisely detecting anomalies. © 2024 IEEE.

关键词： computerized tomography

来源：评论

学校读者我要写书评

暂无评论

Automated Crop Growth Monitoring and Optimizing the Yield with Reinforcement Learning 3

Automated Crop Growth Monitoring and Optimizing the Yield wi...

引用

3rd IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Gorantla, Snehitha Veluchamy, S. Amrita School of Computing Department of Computer Science and Engineering - Artificial Intelligence Amrita Vishwa Vidyapeetham Chennai601103 India Amrita School of Computing Department of Computer Science and Engineering - Cyber Security Amrita Vishwa Vidyapeetham Chennai601103 India

ISBN: (纸本)9798350317022

A reinforcement learning agent for optimal green-house management through Proximal Policy Optimisation is developed and evaluated in this work. With variable elements like lighting, irrigation, humidity, and temperature, a virtual greenhouse is produced. By interacting with the surroundings, the agent modifies the controls and gets input on things like crop health and growth rate. For policy and value estimation, the neural network design consists of distinct actor and critic networks as well as shared feature layers. Compared to fixed or random policies, the trained agent shows the ability to regulate conditions for increased crop yield and sustainability. As the number of trials increased, the RL agent's average return per trial increased steadily. This suggests that the RL agent has become more adept at controlling the greenhouse environment in subsequent experiments. This demonstrates how well the RL agent can manage crop health and resource use in the greenhouse climate control system. © 2023 IEEE.

关键词： Crop Yield Greenhouse Neural Network PPO algorithm Reinforcement Learning

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Cost-Effective Evaluation Metrics

Deep Learning Cost-Effective Evaluation Metrics

引用

2023 China Automation Congress, CAC 2023

作者： Zhao, Jian Zhao, Zisong Shi, Lijuan Kuang, Zhejun Wang, Runmin Li, Haixia College of Cyber Security Changchun University Changchun China College of Electronic Information Engineering Changchun University Changchun China College of Computer Science and Technology Changchun University Changchun China

ISBN: (纸本)9798350303759

Deep learning has been a driving force behind recent breakthroughs in artificial intelligence. In particular, neural networks have shown great promise in handling a wide range of tasks. With the improvement of performance, networks need computing power and space are also increasing day by day. However, in practical applications, platforms with low computing power, such as edge devices, have limited computing, it is necessary to select a high cost-effective model. Traditional methods require a lot of experience to select cost-effective models. Therefore, there is an urgent need for a deep learning cost-effective evaluation metrics to measure this performance. To address this, we propose a cost-effective evaluation metric called TALES, which takes a common approach to evaluating deep learning models in practical applications. Our metric objectively evaluates networks based on FLOPs, Params, and predicted latency, which are key factors in determining model performance. After conducting a statistical survey of nearly 300 networks, we conclude that the growth in accuracy and the growth in Euclidean distance computed by FLOPs, Params, and Latency have a very similar mathematical pattern to the Sigmoid function. We then fit the relationship curve using mathematical modeling. Our final results show that our designed cost-effective evaluation metric can effectively and objectively evaluate the relationship between accuracy and network complexity of each network. The results are consistent with objective cognition in the field of deep learning. Through the metric, we can effectively evaluate the performance of deep learning models in practical applications and reducing costs and improving efficiency. © 2023 IEEE.

关键词： Cost effectiveness

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 << < 42 43 44 45 46 47 48 49 50 51 > >>

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：