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

22,137 篇 会议
3,563 篇 期刊文献
208 册 图书

馆藏范围

25,908 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

15,877 篇 工学
- 11,192 篇 计算机科学与技术...
- 9,391 篇 软件工程
- 4,314 篇 信息与通信工程
- 2,519 篇 控制科学与工程
- 2,162 篇 电子科学与技术（可...
- 2,142 篇 电气工程
- 1,541 篇 生物工程
- 1,323 篇 生物医学工程（可授...
- 1,144 篇 光学工程
- 1,032 篇 机械工程
- 884 篇 仪器科学与技术
- 838 篇 动力工程及工程热...
- 745 篇 化学工程与技术
- 626 篇 安全科学与工程
- 525 篇 交通运输工程
- 470 篇 材料科学与工程（可...
- 453 篇 建筑学
8,248 篇 理学
- 4,541 篇 数学
- 2,425 篇 物理学
- 1,709 篇 生物学
- 1,386 篇 统计学（可授理学、...
- 917 篇 系统科学
- 760 篇 化学
4,015 篇 管理学
- 2,415 篇 管理科学与工程(可...
- 1,835 篇 图书情报与档案管...
- 1,268 篇 工商管理
1,077 篇 医学
- 952 篇 临床医学
- 886 篇 基础医学(可授医学...
- 574 篇 药学(可授医学、理...
716 篇 法学
- 563 篇 社会学
447 篇 经济学
348 篇 教育学
320 篇 农学
110 篇 文学
73 篇 军事学
26 篇 艺术学
4 篇 哲学
3 篇 历史学

主题

718 篇 accuracy
538 篇 feature extracti...
497 篇 deep learning
489 篇 computational mo...
381 篇 support vector m...
381 篇 training
365 篇 computer science
320 篇 internet of thin...
293 篇 real-time system...
287 篇 machine learning
281 篇 computer archite...
247 篇 predictive model...
227 篇 reliability
222 篇 routing
221 篇 convolutional ne...
220 篇 optimization
211 篇 data mining
208 篇 neural networks
200 篇 throughput
198 篇 image segmentati...

机构

85 篇 dept. of compute...
84 篇 institut univers...
84 篇 université de st...
83 篇 north-west unive...
83 篇 tno technical sc...
82 篇 infn sezione di ...
81 篇 national centre ...
80 篇 nikhef national ...
76 篇 infn sezione di ...
67 篇 university würzb...
66 篇 università di ca...
53 篇 leiden universit...
51 篇 dept. of compute...
50 篇 school of automa...
50 篇 university of jo...
48 篇 university moham...
44 篇 university moham...
43 篇 in2p3 lpc campus...
42 篇 infn lnf via enr...
42 篇 university of gr...

作者

95 篇 ardid m.
93 篇 ferrara g.
92 篇 kalekin o.
92 篇 díaz a.f.
91 篇 boumaaza j.
90 篇 coleiro a.
89 篇 calvo d.
83 篇 gal t.
82 篇 bozza c.
80 篇 chen a.
78 篇 gozzini s.r.
76 篇 huang f.
75 篇 dallier r.
72 篇 anguita m.
63 篇 enzenhöfer a.
60 篇 kulikovskiy v.
59 篇 boettcher m.
57 篇 celli s.
53 篇 aly z.
52 篇 dornic d.

语言

24,473 篇 英文
1,042 篇 其他
295 篇 中文
75 篇 日文
21 篇 朝鲜文
3 篇 斯洛文尼亚文
1 篇 阿拉伯文
1 篇 德文
1 篇 法文
1 篇 土耳其文

检索条件"机构=Dept. Computer Technology and Computer Graphics"

共 25908 条记录，以下是4771-4780 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：

Machine Learning Based Hybrid Technique for Heart Disease Prediction

Machine Learning Based Hybrid Technique for Heart Disease Pr...

引用

2022 International Conference on Advances in Computing, Communication and Materials, ICACCM 2022

作者： Negi, Sourav Singh Memoria, Minakshi Kumar, Rajiv Joshi, Kapil Pandey, Shiv Dayal Gupta, Ashulekha Uttaranchal Institute of Technology Uttaranchal University Department of Computer Science and Engineering Dehradun India Graphic Era University Dept. of Management Studies Dehradun India

ISBN: (纸本)9781665474399

There is a lot of information in the medical services industry. With such a big amount of data, the illness can often be identified, predicted, or reduced. Infections such as cardiovascular sickness, malignant development, tumours, and so on pose a significant threat to humanity. In this research, we try to focus on coronary sickness prediction using AI approaches. Coronary illness is frequently predicted. Information such as pulse, hypertension, diabetes, and cigarette smoking is collected, and these highlights are then displayed for forecasting. The calculations like K-nearest neighbor, Random Forest and Decision tree are used. We have also proposed a hybrid model of combining Decision Tree and Random Forest. The precision of the model is to investigate utilizing every one of the calculations. At that point with the more exactness is taken as a result of the model for anticipating the daringness infection. © 2022 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Secure Host Login Technique based Key Agreement protocol for Software Defined Network 4

Secure Host Login Technique based Key Agreement protocol for...

引用

4th International Conference on Inventive Research in Computing Applications, ICIRCA 2022

作者： Bhardwaj, Aditya Mutaher, Hamza International Inistitute of Technology Dept. Computer Science and Engineering Bhubaneswar India School of Computing and Innovative Technologies British University Vietnam Hanoi Viet Nam

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

Scalability is one of the Software Defined Network features that makes it more efficient than the traditional network. Due to this feature, a huge number of hosts connect to the network and require network rules and policies from the network controller. The huge number of connected hosts makes the network vulnerable to unauthorized access, which may cause network damage. In this paper, a secure hosts login technique is proposed to assure the authenticity of the hosts that need to access the network and use its resources. The proposed technique uses the key agreement protocol to allow the hosts and controller to establish secure communication. Then the procedure moves to the registration phase and login phase, which are responsible for creating and verifying the hosts' credentials while claiming network access. The secrecy and authenticity of the proposed technique was simulated, verified, and proved using AVISPA tool. The result of the simulation also proved the immunity of the proposed technique against MITM and replay attacks. © 2022 IEEE.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

Optimizing Age-of-Information in Adversarial Environments with Channel State Information 14

Optimizing Age-of-Information in Adversarial Environments wi...

引用

14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022

作者： Mandal, Avijit Bhattacharjee, Rajarshi Sinha, Abhishek Indian Institute of Technology Madras Dept. of Electrical Engineering Chennai600036 India University of Massachusetts at Amherst College of Information and Computer Sciences United States

ISBN: (纸本)9781665421041

This paper considers a multi-user downlink scheduling problem with access to the channel state information at the transmitter (CSIT) to minimize the Age-of-Information (AoI) in a non-stationary environment. The non-stationary environment is modelled using a novel adversarial framework. In this setting, we propose a greedy scheduling policy, called MA-CSIT, that takes into account the current channel state information. We establish a finite upper bound on the competitive ratio achieved by the MA-CSIT policy for a small number of users and show that the proposed policy has a better performance guarantee than a recently proposed greedy scheduler that operates without CSIT. In particular, we show that access to the additional channel state information improves the competitive ratio from 8 to 2 in the two-user case and from 18 to 8/3 in the three-user case. Finally, we carry out extensive numerical simulations to quantify the advantage of knowing CSIT in order to minimize the Age-of-Information for an arbitrary number of users. © 2022 IEEE.

关键词： Channel state information

来源：评论

学校读者我要写书评

暂无评论

Wild Animal Recognition: A Vocal Analysis

Wild Animal Recognition: A Vocal Analysis

引用

International Conference on Computing for Sustainable Global Development (INDIACom)

作者： P Sudharshan Duth N Manohar R Suresha M Priyanka Tian Jipeng Dept. of Computer Science Amrita Vishwa Vidyapeetham Amrita School of Computing Mysuru Campus Mysuru India Computer Science College Zhongyuan University of Technology Zhengzhou Henan Province China

The Animal Voice Recognition system has become an important application in the field of animal sound retrieval and classification; it is highly beneficial for applications involving bio-acoustics and audio retrieval. Currently existing work lacks wild animal vocal dataset and requires appropriate vocal feature engineering mechanism even in the presence of varied background noise is necessary to conduct vocal analysis for efficient recognition. In this research work, initially wild animal vocal database was created, then fusion of vocal features were extracted for developing the animal recognition system based on Multiple vocal features such as the Mel-Frequency Cepstral Coefficients (MFCC), Zero-Cross-Rate (ZCR), Spectral Roll Off, Spectral Centroid and Spectral Contrast features. Further, PCA is used to extract the transformed discriminating features. Finally, the performance of this model has been analyzed by extracting features of the collected dataset using number of conventional classifiers to identify the specific animal. Among which SVM and Random Forest classifier obtained 96.89% and 97.46% recognition accuracy respectively and it proves to be cost-effective.

关键词：

来源：评论

学校读者我要写书评

暂无评论

LLM4PlC: Harnessing large Language Models for Verifiable Programming of PlCs in Industrial Control Systems

LLM4PlC: Harnessing large Language Models for Verifiable Pro...

引用

IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP)

作者： Mohamad Fakih Rahul Dharmaji Yasamin Moghaddas Gustavo Quiros Araya Oluwatosin Ogundare Mohammad Abdullah Al Faruque Dept. of Electrical Engineering and Computer Science University of California Irvine CA USA Siemens Technology Princeton NJ USA

ISBN: (数字)9798400705014

ISBN: (纸本)9798350352177

Although Large Language Models (LLMs) have established pre-dominance in automated code generation, they are not devoid of shortcomings. The pertinent issues primarily relate to the absence of execution guarantees for generated code, a lack of explainabil-ity, and suboptimal support for essential but niche programming languages. State-of-the-art LLMs such as GPT-4 and LLaMa2 fail to produce valid programs for Industrial Control Systems (ICS) op-erated by Programmable Logic Controllers (PLCs). We propose LLM4PLC, a user-guided iterative pipeline leveraging user feed-back and external verification tools - including grammar checkers, compilers and SMV verifiers - to guide the LLM's generation. We further enhance the generation potential of LLM by employing Prompt Engineering and model fine-tuning through the creation and usage of LoRAs. We validate this system using a FischerTech-nik Manufacturing TestBed (MFTB), illustrating how LLMs can evolve from generating structurally-flawed code to producing verifiably correct programs for industrial applications. We run a complete test suite on GPT-3.5, GPT-4, Code Llama-7B, a fine-tuned Code Llama-7B model, Code Llama-34B, and a fine-tuned Code Llama-34B model. The proposed pipeline improved the generation success rate from 47% to 72%, and the Survey-of-Experts code quality from 2.25/10 to 7.75/10. To promote open research, we share the complete experi-mental setup, the LLM Fine-Tuning Weights, and the video demonstrations of the different programs on our dedicated webpage 1 1 https://***/***/llm4plc/home.

关键词： Codes Industrial control Pipelines Programmable logic devices Programming Reliability engineering Manufacturing

来源：评论

学校读者我要写书评

暂无评论

Sustainable AI & Agricultural Technologies 4

Sustainable AI & Agricultural Technologies

引用

4th IEEE International Conference on Automatic Computing and Self-Organizing Systems Companion, ACSOS-C 2023

作者： Sarkadi, Stefan Moraru, Ionut Manning, Louise King's College London Dept. of Informatics London United Kingdom School of Computer Science University of Lincoln Lincoln United Kingdom Lincoln Institute for Agri-food Technology University of Lincoln Lincoln United Kingdom

ISBN: (纸本)9798350337464

Climate change, increase in world population and the war in Ukraine have led nations to put a larger focus on food security, while simultaneously trying to halt declines in biodiversity and reduce risks to human health posed by chemically-reliant farming practices. Achieving these goals simultaneously will require the adoption of novel approaches. One potential solution is accelerating the uptake of AI & Robotic Technologies in the agricultural sector. However, we currently do not have a scientific model for predicting the effects of adopting AI-based agri-tech in complex systems such as the food sector. Self-organising systems offer a holistic and intuitive perspective on complex ecosystems and their resilience to socio-economic pressures at various scales. We propose the application of evolutionary agent-based modelling to explore the emergence of strategies in the food sector considering various levels of abstraction. © 2023 IEEE.

关键词： Biodiversity

来源：评论

学校读者我要写书评

暂无评论

Intelligent Heart Rate Classification with Adaptive Neuro-Fuzzy Inference System Approach 4

Intelligent Heart Rate Classification with Adaptive Neuro-Fu...

引用

4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Seva, Banothu Kumhar, Bhupchand Gupta, Jyoti Patel, Sharda Basha, Shaik Khaja Mohiddin Jain, Archi Mlr Institute of Technology Department of Cse Hyderabad India Ies University Ies Institute of Technology and Management Department of Computer Science & Engineering M.P. Bhopal462044 India Indore Institute of Science and Technology Dept. of Mathematics Madhya Pradesh Indore India Gyan Ganga Institute of Technology & Sciences Dept of Cse Jabalpur India Narasaraopeta Engineering College Dept.of Cse India Ggits MP Jabalpur India

ISBN: (纸本)9798331518981

The human heart is considered among the most crucial internal organs found in the body. An ECG signal is defined as the widespread name given to any electrical signal that is generated by the circulatory system*. By using the ECG signal, one can estimate anomalies present in a heart. This study is aimed at grouping the electrocardiogram (ECG) signals, and thereby using an adaptive neuro fuzzy inference system (ANFIS) algorithm. In this study, the ANFIS which is associated with the back propagation approach is used in order to perform the categorising task. ANFIS can be developed from the integration of fuzzy logic which is a qualitative technique with the neural network aspect in allowing adaptability. Attribute selection is done before the classification exercise is conducted. Four different types of ECG beats can be retrieved from the datasets available at PhysioBank. Classification of the cardiac signals is done employing four ANFIS classifiers. The fifth ANFIS decoder is used to get a higher discrimination ratio in order to classify the electrocardiograms accurately. © 2024 IEEE.

关键词： Fuzzy neural networks

来源：评论

学校读者我要写书评

暂无评论

Systematic Review: Face Recognition Algorithms for Photos and Real-Time Applications

Systematic Review: Face Recognition Algorithms for Photos an...

引用

Mobile Computing and Sustainable Informatics (ICMCSI), International Conference on

作者： Sumant Ranmale Balaso Jagdale Dept. of Computer Engineering and Technology Dr. Vishwanath Karad MIT World Peace University Pune Maharashtra India

Face recognition technology has many uses in the distribution of photographs, from detecting persons in pictures to automatically grouping pictures based on people's faces. Several methods have been proposed for face detection, including deep learning methods like Convolutional Neural Networks and Histogram of Oriented Gradients. This study analyzes the suitability of CNN and HOG algorithms for recognizing faces with higher accuracy and speed. The accuracy of the algorithms implemented and the standard of quality of the images determine how well face recognition technology performs in the distribution of photographs. Further, this study also contributes to present effectiveness and impact on storing and retrieving images as well as its advantages and disadvantages in the context of image distribution applications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Leveraging Large Language Models for Intent-Based Generation of Cloud-Native Configurations

Leveraging Large Language Models for Intent-Based Generation...

引用

International Symposium on Advanced Networks and Telecommunication Systems (ANTS)

作者： Anuj Dubey Charu Priya Singh Deepak Nadig Dept. of Computer and Information Technology Purdue University West Lafayette IN College of Professional Studies Northeastern University Boston MA

ISBN: (数字)9798350391725

ISBN: (纸本)9798350391732

Cloud-native systems have revolutionized the development, deployment, and management of modern applications, enabling organizations to achieve unprecedented scalability and resilience. However, the complexity of configuring and managing these systems remains a significant barrier, particularly for users lacking deep technical expertise. In this paper, we present an intent-based framework that leverages large language models (LLMs) to automate the generation of configurations within cloud-native environments, focusing on Kubernetes deployment workloads as a use case. The framework offers a practical toolkit for users who lack deep technical expertise, helping them manage Kubernetes configurations by converting user intents into workable, deployable configurations. Our evaluations demonstrate that our proposed framework achieves a 100% success rate in schema validation through kubectl using few-shot prompting, compared to $\mathbf{9 7. 1 8 \%}$ with zero-shot prompting and $\mathbf{9 5. 7 7} \%$ with human-generated configurations. In semantic validation using Kubeval, our framework performed well, achieving a success rate of $\mathbf{9 1. 5 5 \%}$ with both few-shot and zero-shot prompting, compared to 87.32% with human-generated configurations. These results highlight our framework’s potential to enhance both the accessibility and efficiency of cloud-native technologies, making complex deployment tasks more approachable for a broader range of users.

关键词： Large language models Scalability Semantics Focusing Organizations Telecommunications Complexity theory Resilience

来源：评论

学校读者我要写书评

暂无评论

Enhancing Network Intrusion Detection in a Limited Labeled Data Scenario: An Active Learning Approach

Enhancing Network Intrusion Detection in a Limited Labeled D...

引用

Computing, Applications and Systems (COMPAS), IEEE International Conference on

作者： Md Sharafat Hossain Md Al Amin Hossain Md Shahin Sikdar Md Saiful Islam Institute of Information and Communication Technology Bangladesh University of Engineering and Technology Dhaka Bangladesh Dept. of Information Technology Engineering Selcuk University Konya Turkiye Dept. of Computer Science and Engineering Prime University Dhaka Bangladesh

ISBN: (数字)9798331529765

ISBN: (纸本)9798331529772

The Internet was originally developed to facilitate easier communication through digital devices. It has made our lives easier by providing means for communication and delivering digital resources anywhere and at any time in the world. However, the internet also exposes users to the risk of criminals exploiting various vulnerabilities in the internet system, launching sophisticated attacks to gain valuable information and hamper users’ lives. Henceforth, an effective intrusion detection system (IDS) is imperative for safeguarding the data and resources of users in the cyber world. This research aims to enhance semi-supervised IDS models by leveraging limited labeled data and unlabeled data and exploring innovative approaches to improve adaptability and accuracy in detecting known and emerging threats, particularly in scenarios with limited labeled data available. Our study uses the UNSW-NB15 dataset, and the results show that our suggested active learning-based semi-supervised model, which was created with 2000 labeled data, is better than the supervised model that uses the same number of labeled data. The proposed model achieved an accuracy score of 97.67% while existing studies achieved an accuracy score of 94.61%.

关键词： Adaptation models Accuracy Computational modeling Active learning Personal digital devices Network intrusion detection Benchmark testing Data models Internet computer crime

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 << < 474 475 476 477 478 479 480 481 482 483 > >>

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：