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

255,459 篇 会议
107,550 篇 期刊文献
2,791 册 图书
22 篇 学位论文
2 篇 科技报告

馆藏范围

365,822 篇 电子文献
11 种 纸本馆藏

日期分布

学科分类号

207,885 篇 工学
- 130,087 篇 计算机科学与技术...
- 104,424 篇 软件工程
- 51,156 篇 信息与通信工程
- 33,657 篇 控制科学与工程
- 32,719 篇 电子科学与技术（可...
- 32,667 篇 电气工程
- 22,569 篇 生物工程
- 18,220 篇 生物医学工程（可授...
- 18,025 篇 光学工程
- 14,920 篇 机械工程
- 12,971 篇 化学工程与技术
- 12,438 篇 仪器科学与技术
- 11,999 篇 动力工程及工程热...
- 10,888 篇 材料科学与工程（可...
- 7,457 篇 安全科学与工程
- 7,109 篇 网络空间安全
- 6,817 篇 交通运输工程
121,271 篇 理学
- 58,182 篇 数学
- 43,533 篇 物理学
- 25,664 篇 生物学
- 18,722 篇 统计学（可授理学、...
- 13,970 篇 化学
- 13,702 篇 系统科学
49,909 篇 管理学
- 31,173 篇 管理科学与工程(可...
- 20,686 篇 图书情报与档案管...
- 14,716 篇 工商管理
17,514 篇 医学
- 14,566 篇 临床医学
- 12,921 篇 基础医学(可授医学...
- 8,113 篇 药学(可授医学、理...
9,022 篇 法学
- 7,425 篇 社会学
5,941 篇 经济学
4,714 篇 农学
3,516 篇 教育学
1,666 篇 文学
847 篇 军事学
455 篇 艺术学
66 篇 哲学
38 篇 历史学

主题

9,984 篇 computer science
8,945 篇 accuracy
7,907 篇 computational mo...
7,758 篇 feature extracti...
7,085 篇 deep learning
6,443 篇 machine learning
6,272 篇 training
4,630 篇 predictive model...
4,590 篇 support vector m...
4,431 篇 optimization
4,226 篇 data mining
4,182 篇 convolutional ne...
4,115 篇 neural networks
4,078 篇 computer archite...
4,069 篇 wireless sensor ...
4,034 篇 real-time system...
3,925 篇 bandwidth
3,794 篇 artificial intel...
3,747 篇 testing
3,709 篇 robustness

机构

3,273 篇 school of electr...
2,250 篇 chitkara univers...
2,022 篇 department of el...
1,739 篇 department of co...
1,270 篇 university of ch...
1,053 篇 cavendish labora...
980 篇 department of ph...
862 篇 oliver lodge lab...
851 篇 physikalisches i...
818 篇 department of el...
714 篇 department of co...
642 篇 department of co...
631 篇 school of comput...
616 篇 school of comput...
569 篇 school of electr...
528 篇 infn sezione di ...
512 篇 infn laboratori ...
503 篇 infn sezione di ...
496 篇 horia hulubei na...
479 篇 h.h. wills physi...

作者

250 篇 barter w.
240 篇 j. wang
237 篇 s. chen
230 篇 a. gomes
223 篇 blake t.
220 篇 bowcock t.j.v.
219 篇 bellee v.
217 篇 betancourt c.
217 篇 amato s.
215 篇 borsato m.
213 篇 boettcher t.
212 篇 c. alexa
211 篇 brundu d.
207 篇 j. m. izen
205 篇 beiter a.
202 篇 bencivenni g.
192 篇 c. amelung
191 篇 bay a.
190 篇 g. bella
190 篇 j. strandberg

语言

342,802 篇 英文
18,467 篇 其他
4,465 篇 中文
278 篇 日文
44 篇 德文
42 篇 朝鲜文
30 篇 法文
21 篇 斯洛文尼亚文
21 篇 土耳其文
13 篇 俄文
7 篇 阿拉伯文
4 篇 荷兰文
3 篇 西班牙文
3 篇 爱沙尼亚文
3 篇 意大利文
3 篇 葡萄牙文
1 篇 捷克文
1 篇 泰文

检索条件"机构=Computer Engineering Department and Computer Technology Institute"

共 365824 条记录，以下是1211-1220 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：

Fabric Defects Detection Using YOLOv8 4th

Fabric Defects Detection Using YOLOv8

引用

4th International Conference on Innovations in Computational Intelligence and computer Vision, ICICV 2024

作者： Kapil, Bhavesh Dutta, Kamlesh Computer Science and Engineering Department National Institute of Technology Hamirpur India

ISBN: (纸本)9789819769919

Fabric defect detection poses a significant challenge in the textile industry due to the intricate shapes and diverse range of fabric defects. Numerous approaches have been suggested to address this issue;however, their efficacy in terms of both detection speed and accuracy has been notably limited. This paper introduces an approach for detecting fabric defects using the YOLOv8 model. The methodology involves using the Tinachi dataset, labeling the dataset with LabelImg, applying data augmentation to the dataset, and iteratively training the YOLOv8 network model. The model achieves a mean Average Precision (mAP) of 78.5%, box_loss of 1.6209, a cls_loss of 1.0495, and a dfl_loss of 1.2898. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Textile industry

来源：评论

学校读者我要写书评

暂无评论

Robotic Military Surveillance using Metal Detector for Land Mine Bomb Detection 2

Robotic Military Surveillance using Metal Detector for Land ...

引用

2nd IEEE International Conference on Advances in Information technology, ICAIT 2024

作者： Pallavi, N.R. Akanksh, G.S. Akash, K. Bharghavi, S.H. Meghana, R. Department Computer Engineering B G S Institute OF Technology India

ISBN: (数字)9798350383867

ISBN: (纸本)9798350383867

Robotic surveillance system integrating metal detection and gas sensing technologies to enhance land mine and explosive detection in military operations. The mobile robotic platform autonomously navigates and maps terrain using a feature like high-sensitivity metal detector to identify buried metallic components and a gas sensor to detect explosive vapors and taser. This detection mechanism significantly improves accuracy and reduces false positives, ensuring the safety of personnel. Real-time data transmission to a remote command center enables rapid analysis and decision-making. Extensive field tests validate the system's effectiveness in diverse conditions, highlighting its potential for military and humanitarian demining applications. By combining these technologies, the system offers a robust, efficient solution for land mine detection, enhancing operational safety and efficiency in military surveillance and demining efforts. © 2024 IEEE.

关键词： Chemical sensors

来源：评论

学校读者我要写书评

暂无评论

Demonstration of an Application Layer Omni-frequency IoT Protocol 17

Demonstration of an Application Layer Omni-frequency IoT Pro...

引用

17th International Conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Gupta, Nayancy Peddamalla, Lokesh Mendu, Veman Sai Prabhath Banda, Gourinath Indian Institute of Technology Indore Department of Computer Science and Engineering Indore India

ISBN: (纸本)9798331531195

The advent of the Internet of Things (IoT) has transformed the way devices communicate, with an ever-increasing need for seamless interoperability and energy-efficient communication. This paper presents a unified omni-frequency protocol designed to operate independently of specific radio-wave protocols, allowing efficient and secure communication between users, devices (referred to as "things"), and cloud servers. The proposed protocol operates at the Application Layer and introduces two key components: the original equipment manufacturer (OEM) Server, which centrally manages user and device data, and the OEM Host, which verifies device credentials. This system enables efficient Internet Protocol(IP)-based and non-IP based communication, improving energy management and distribution of computational tasks to the edge. An Android application was developed to serve as the user interface, supporting multiple communication methods, including IP, Bluetooth classic version 5.0, Near-Field Communication (NFC) and ad hoc networking. The versatility of this unified approach optimizes the interactions, data processing, and energy utilization of IoT in various practical environments. © 2025 IEEE.

关键词： Network layers

来源：评论

学校读者我要写书评

暂无评论

Smart Lock Security System 2

Smart Lock Security System

引用

2nd IEEE International Conference on Advances in Information technology, ICAIT 2024

作者： Ravikumar, Pushpa Arpitha, C.N. Hemanth, N.G. Department of Computer Science and Engineering Adichunchanagiri Institute of Technology Chikkamagaluru India

ISBN: (纸本)9798350383867

With the percentage of single-parent households rising quickly, criminal vulnerability is becoming more of a social issue The main issue is often worry over stranger visiting, especially in the case of single female families. This project focuses on the design strategy for an embedded real-time surveillance system based on a Raspberry Pi for the purpose of detecting intruders. Surveillance technology is reinforced to provide vital security for our daily lives, along with related control and alert functions. Our creative integration of cameras and motion detectors into a web application is the foundation of the suggested security system. Remote sensing cameras and motion detectors are managed and operated by Raspberry Pi. The goal of this research is to create a system that can quickly identify outsiders and respond by taking pictures and sending them to a wireless module that is based on the owner. If owner wish to add the other members to home, then he need to save the person photo in database. © 2024 IEEE.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Detection of DDoS Attacks in Fog Computing using Interpretable Quantum-based 2Q Learning Approach 3

Detection of DDoS Attacks in Fog Computing using Interpretab...

引用

3rd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Sohan Jayram Reddy, K. Bhargavi, K. Siddaganga Institute of Technology Department of Computer Science and Engineering Karnataka Tumakuru India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515911

It is seen that there is a rapid increase in Internet of Things (IoT) devices, and fog computing has emerged as an efficient and viable solution to reduce latency by performing computations closer to the edge. However, this nature of fog computing makes it vulnerable to Distributed Denial of Service (DDoS) attacks, which can disrupt services. DDoS causes major impact over the fog performance which include resource saturation, increased latency, reduced resource availability, decrease in processing capacity of the fog nodes, and many more. There have been various works proposed to detect DDoS attacks in fog computing, but they lack scalability and have high response times. In this paper, a novel Quantum-based-2QLearning (Q2QL) framework is designed to efficiently detect and mitigate DDoS attacks in fog computing. This framework using quantum-enhanced reinforcement learning reduces overestimation bias and improve speed of convergence. Q2QL framework also achieves high detection accuracy and reduces response time. The results show that the proposed framework performs well across critical metrics, including latency, attack detection time, and overall system performance. © 2025 IEEE.

关键词： Fog computing

来源：评论

学校读者我要写书评

暂无评论

Efficient Parallel Algorithms For Exact SimRank Computations 31

Efficient Parallel Algorithms For Exact SimRank Computations

引用

31st IEEE International Conference on High Performance Computing, Data, and Analytics Workshops, HiPCW 2024

作者： Mundhara, Aditya Nijhara, Prajjwal Banerjee, Dip Sankar Department of Computer Science and Engineering Indian Institute of Technology Jodhpur India

ISBN: (纸本)9798331509118

SimRank is a popular measure for evaluating node similarities in graphs, but its high computational cost limits scalability for large graphs. The ExactSim [1] algorithm achieves precise single-source SimRank similarities but suffers from significant computation time. In this work, we parallelize key components of ExactSim - Personalized PageRank (PPR) computations and SimRank calculations on a CPU-based shared memory multi-core system. By optimizing these modules, we significantly reduce runtime, making ExactSim more practical for large-scale applications. Our results (on graph sizes ranging from 0.1 million edges to 100 million edges) demonstrate the effectiveness of parallelization in improving both efficiency and scalability. © 2024 IEEE

关键词： Graph algorithms

来源：评论

学校读者我要写书评

暂无评论

A CNN and HBA Based Approach for Grape Disease Identification 4

A CNN and HBA Based Approach for Grape Disease Identificatio...

引用

4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Vishnuvarthan, K. Renugadevi, R. Santhi, S. Kit - Kalaignarkarunanidhi Institute of Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798331523923

Grapes are among the most extensively cultivated fruit crops globally, with over 10,000 varieties. They serve as a significant economic resource for many nations due to their diverse applications, including wine production, fresh juice consumption, raisin production, and juice manufacturing. However, grape diseases pose a severe threat to the viticulture industry, leading to substantial financial losses and a decline in wine quality. Manual evaluation is the foundation of traditional disease detection techniques, which are error-prone in addition to saving time. This highlights the need for an automated system capable of analyzing plant health, identifying diseases, and addressing undernourishment efficiently and reliably. Accurate disease diagnosis and timely control measures are crucial for mitigating these challenges. Many scholars have studied various algorithms such as CNN, SVM, Neural Networks, Random Forests, etc., yet each has disadvantages. So we have proposed an automated deep learning-based approach that integrates the Honey Badger Algorithm (HBA) with Convolutional Neural Networks (CNN) for the detection of grape diseases. A phenomenal 95% accuracy rate was attained by the prototype after it was trained on a dataset of 10,000 photos. Its performance was evaluated across various grape varieties and environmental conditions, demonstrating its robustness and adaptability. © 2025 IEEE.

关键词： Wine

来源：评论

学校读者我要写书评

暂无评论

Quality-Driven Web Service Selection: Machine Learning Based Approach 11th

Quality-Driven Web Service Selection: Machine Learning Based...

引用

11th International Symposium on Applied Computing for Software and Smart Systems, ACSS 2024

作者： Kumar, Dewashish Sarkar, Anirban Department of Computer Science and Engineering National Institute of Technology Durgapur Durgapur India

ISBN: (纸本)9789819797615

The task of choosing a suitable web service has become increasingly difficult in today’s landscape due to the growing number of services offering similar functionalities. This paper addresses the critical need for efficient web service selection based on Quality of Service parameters. A minimal set of discrete QoS characteristics were carefully chosen as inputs for several machine learning models targeted at finding and suggesting suitable web services. The performance of these models is systematically evaluated and compared. The machine learning techniques used for this work include a Support Vector Machine, Decision Tree, and Random Forest. Among these, the results show that the proposed Random Forest model consistently outperforms other techniques in terms of accuracy and effectiveness. This study contributes to the advancement of web service selection methodologies by providing insights into the comparative performance of various machine learning approaches, ultimately offering a valuable guide for decision-makers in navigating the intricate landscape of web service options. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Review On Text Classification Using Improved Deep Learning Models 2

Review On Text Classification Using Improved Deep Learning M...

引用

2nd International Conference on computer, Communication and Control, IC4 2024

作者： Gaikwad, Rajni Mulchandani, Mona Thakur, Reena Jhulelal Institute of Technology Department of Computer Science and Engineering Nagpur India

ISBN: (纸本)9798350387933

Modern deep learning models have exhibited better performance than conventional machine learning methods across a range of text classification tasks, encompassing natural language inference, sentiment analysis, news categorization, and question answering. The application of text classification in natural language processing extends to tasks like spam detection, news categorization, information retrieval, sentiment analysis, and intent assessment. Traditional text classifiers utilizing machine learning techniques encounter challenges such as sparse data, dimensionality issues, and limited generalization capabilities. In contrast, classifiers based on deep learning effectively tackle these limitations, eliminating the need for intricate feature extraction processes, and providing improved learning capabilities along with enhanced prediction accuracy. One notable instance of Convolutional neural networks are used in this way (CNNs). This paper delineates the text classification process, emphasizing the application of deep learning methodologies for text classification. © 2024 IEEE.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

A Transfer Learning-Based DenseNet with Multi kernel aggregated Channel Attention Block for COVID-19 Classification using CT scan images

A Transfer Learning-Based DenseNet with Multi kernel aggrega...

引用

2024 OPJU International technology Conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Girepunje, Shashank Singh, Pradeep National Institute of Technology Department of Computer Science & Engineering Raipur India

ISBN: (纸本)9798350373783

Accurate diagnosis of COVID-19 using chest X-ray imaging is pivotal for large-scale screening and epidemic containment efforts. However, discerning COVID-19 from CT scan images poses formidable challenges due to the heterogeneous and intricate radiographic features, such as widespread ground-glass opacities and diffuse reticular-nodular opacities. Secondly, the limited number of samples also poses a big challenge for deep learning models that require large number of samples to perform efficiently. In this study, we propose a novel approach for COVID-19 classification using a pre-trained DenseNet architecture combined with a MKACAB (multi-kernel aggregated Channel attention Block). Leveraging the expressive power of DenseNet and the attention mechanism's ability to highlight informative features, our model aims to effectively discriminate between COVID-19 and non-COVID-19 cases. Comprehensive experimental evaluations conducted on publicly available dataset attest to the superior performance of our architecture in the domain of COVID-19 classification. © 2024 IEEE.

关键词： COVID-19

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 << < 118 119 120 121 122 123 124 125 126 127 > >>

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：