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

2,086 篇 会议
9 册 图书
6 篇 期刊文献

馆藏范围

2,101 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,352 篇 工学
- 1,054 篇 计算机科学与技术...
- 863 篇 软件工程
- 478 篇 信息与通信工程
- 293 篇 控制科学与工程
- 282 篇 生物工程
- 210 篇 电气工程
- 155 篇 网络空间安全
- 141 篇 光学工程
- 139 篇 生物医学工程（可授...
- 133 篇 电子科学与技术（可...
- 126 篇 仪器科学与技术
- 126 篇 安全科学与工程
- 91 篇 机械工程
- 85 篇 化学工程与技术
- 81 篇 动力工程及工程热...
- 74 篇 材料科学与工程（可...
- 68 篇 交通运输工程
764 篇 理学
- 325 篇 数学
- 298 篇 生物学
- 194 篇 物理学
- 143 篇 化学
- 106 篇 统计学（可授理学、...
355 篇 管理学
- 222 篇 管理科学与工程(可...
- 155 篇 图书情报与档案管...
- 89 篇 工商管理
153 篇 医学
- 128 篇 临床医学
- 126 篇 基础医学(可授医学...
- 84 篇 药学(可授医学、理...
- 77 篇 公共卫生与预防医...
71 篇 法学
- 60 篇 社会学
42 篇 农学
36 篇 经济学
23 篇 教育学
6 篇 军事学
1 篇 文学

主题

94 篇 object detection
70 篇 artificial intel...
52 篇 deep learning
48 篇 machine learning
41 篇 internet of thin...
37 篇 feature extracti...
30 篇 intrusion detect...
26 篇 support vector m...
25 篇 anomaly detectio...
25 篇 fault detection
24 篇 face recognition
24 篇 computer vision
21 篇 convolutional ne...
16 篇 convolution
14 篇 image processing
13 篇 real-time system...
12 篇 covid-19
12 篇 network security
12 篇 diseases
10 篇 cameras

机构

38 篇 maharishi school...
34 篇 national univers...
32 篇 the islamic univ...
31 篇 school of comput...
30 篇 uttaranchal inst...
29 篇 chitkara univers...
28 篇 centre of interd...
26 篇 lovely professio...
26 篇 department of ar...
21 篇 uttaranchal univ...
20 篇 vishwakarma inst...
19 篇 college of intel...
18 篇 sr university sc...
16 篇 college of pharm...
15 篇 department of co...
13 篇 school of comput...
13 篇 school of comput...
12 篇 school of comput...
11 篇 school of comput...
11 篇 department of el...

作者

12 篇 rajesh singh
11 篇 singh rajesh
10 篇 malik bader alaz...
8 篇 mohit tiwari
7 篇 yifeng niu
7 篇 kapil joshi
7 篇 wenxing fu
7 篇 gehlot anita
7 篇 mancang gu
7 篇 alazzam malik ba...
7 篇 kumar bura vijay
7 篇 yi qu
7 篇 tiwari mohit
7 篇 anita gehlot
6 篇 alfurhood badria...
6 篇 joshi kapil
6 篇 malik praveen ku...
6 篇 bura vijay kumar
6 篇 chauhan rahul
6 篇 badria sulaiman ...

语言

2,011 篇 英文
90 篇 其他
14 篇 中文

检索条件"任意字段=2023 3rd International Conference on Detection Technology and Intelligence System, DTIS 2023"

共 2101 条记录，以下是391-400 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 Pose detection Kit Implementation in Taspen Android Application 3

Machine Learning Pose Detection Kit Implementation in Taspen...

引用

3rd international conference on Artificial intelligence and Smart Energy, ICAIS 2023

作者： Habbe, Abdul Hamid Farida Adi Prawira, Ida Muda, Iskandar Hasibuan, Rizki Mayandi Dhumale, N.R. Universitas Hasanuddin Accounting Department Makassar Indonesia Accounting Department Universitas Pendidikan Indonesia Bandung Indonesia Accounting Department Universitas Sumatera Utara Medan Indonesia Universitas Sumatera Utara Medan Indonesia Sinhgad College of Engineering Pune India

ISBN: (纸本)9781665462167

The purpose of this paper is to determine that a machine learning kit for live detection is able to minimize the time consumed or time efficiency from offline pension live detection to activate the monthly pension recipient bank account compared to online methods that are available now. Time efficiency measured by time needed to complete the task to check the lives of pension recipients offline and online. The research case application for this paper is live detection in Taspen authentication android application that is available on google play store for online, and old offline process that obliged the pension recipient to come to PT. Taspen office directly. The methodology to measure time efficiency is very efficient. In broad outline, the results of time efficiency are very satisfied compared to online live check. The result is making the conclusion that online live detection is more efficient than the old offline method to detect the lives of pension recipients. Note that this paper is a conceptual paper without any data to collect and also analyze, but just to determine that machine learning has a significant role and is productive and also useful in financial technology. © 2023 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Analysis of Relay Protection Fault Propagation Mechanism and Attack detection Method under Cyber Attack 3

Analysis of Relay Protection Fault Propagation Mechanism and...

引用

3rd international conference on Electronic Information Engineering and Computer Communication, EIECC 2023

作者： Yang, Delong Zhang, Yichi An, Xuemin Hou, Yihan China Electric Power Research Institute Beijing Haidian China

ISBN: (纸本)9798350359961

With the continuous development of new power system, the innovative application of information and communication technology not only promotes the intelligent evolution of power grid, but also attracts much attention on its network security. As the first line of defense of power system, relay protection device is widely used in power system. However, in the digital communication scene of smart substation, hackers can take advantage of the loopholes in the communication protocol of smart substation to tamper with the protection setting value, switch the setting value area, and throw back the soft board, which will affect the correct action of the protection device, lead to misoperation or refusal of protection, and affect the safe and stable operation of power system. In this paper, the fault propagation mechanism of relay protection under cyber attack is analyzed and studied, and the cyber attack detection method for protection devices is studied, which provides technical reference for improving the network security protection ability of relay protection business in power system. © 2023 IEEE.

关键词： attack detection cyber attack deep learning fault propagation mechanism relaying

来源：评论

学校读者我要写书评

暂无评论

Ship Intrusion detection technology Based on Bayesian Optimization Algorithm and XGBoost 3

Ship Intrusion Detection Technology Based on Bayesian Optimi...

引用

3rd international conference on Electrical Engineering and Control Science, IC2ECS 2023

作者： Zhou, Aobo Zhu, Qi Zhang, Jundong Meng, Ke School of Marine Engineering Dalian Maritime University Liaoning Dalian China

ISBN: (纸本)9798350382426

Cybersecurity is a prerequisite for maritime safety. This study focuses on intelligent ship integrated automation system, analyzing the principles and shortcomings of these system. We propose a machine learning-based intrusion detection solution that utilizes Recursive Feature Elimination (RFE) as a feature selection algorithm and XGBoost as a classification algorithm. The Bayesian optimization algorithm is applied to optimize the hyperparameters of the XGBoost model for detecting anomalous network data. Results indicate that, compared to decision trees, logistic regression, random forests, KNN, and recent research findings, the proposed method exhibits smaller estimation errors with an overall accuracy of 99.8%. It effectively reduces vulnerabilities in ship networks, achieving a F1-score of 96.37% and a recall rate of 96.33% under sufficient dataset conditions. This approach enhances network security performance and elevates the cybersecurity level of intelligent ships. © 2023 IEEE.

关键词： Anomaly detection intelligent ship integrated automation system shipboard network security XGBoost algorithm

来源：评论

学校读者我要写书评

暂无评论

Design of equipment cable detection equipment based on time-domain reflectometry technology 3

Design of equipment cable detection equipment based on time-...

引用

2023 IEEE 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： Zheyuan, Cui Dong, Han Xinyang, Li Army Academy of Armored Force Changchun China

ISBN: (纸本)9798350341546

A portable equipment cable test device based on time domain pulse echo (TDR) principle is introduced. The device is designed with a single chip microcomputer as the control core and FPGA as the test subject to transmit and receive pulses, collect the round-trip time of the pulse cable, and realize the measurement of the fault location of the cable. Firstly, the design theory is elaborated, and then the overall design block diagram, hardware realization and software testing flow of the system are introduced. The picosecond ultra-fast step pulse generation technology, pulse generator, ultra wideband microwave sampling technology, microwave sampler, high precision synchronous sampling technology and specific design methods of step sampling time base in hardware design are emphasized. © 2023 IEEE.

关键词： Bus cable Fault test Time domain pulse echo (TDR)

来源：评论

学校读者我要写书评

暂无评论

A YOLOX-CBAF Traffic Sign detection Algorithm 3

A YOLOX-CBAF Traffic Sign Detection Algorithm

引用

3rd IEEE international conference on Software Engineering and Artificial intelligence, SEAI 2023

作者： Sun, Zhanxin Zhu, Huasheng Tang, Shuyin Li, Yongjian He, Mingzhi Nanchang Institute of Technology School of Information Enginneering Nanchang China

ISBN: (纸本)9798350337952

Traffic sign detection plays a crucial role in autonomous driving tasks. However, in practical applications, the accuracy and real-time performance of general object detection algorithms are often compromised by factors such as scene variations, distance changes, and lighting conditions. To address these challenges, this paper proposes a YOLOX-CBAF *** improve the detection performance of small traffic sign targets, we propose the CBAM-PIM module, which enhances the channel attention part of the CBAM module. Instead of the original adaptive average pooling layer with forced dimension reduction, different direction pooling layer modules are used to effectively establish the correlation of channel attention modules with features in different directions, thus strengthening the channel representation *** address the issue of poor detection performance in complex backgrounds, we propose the ASFF-Dconv module, which replaces the nearest-neighbor interpolation operator in the sampling part of ASFF with a depth-wise separable transpose convolution module. We use a learnable sampling structure to enhance the network's ability to extract edge information, and use a large convolution kernel's depth-wise separable structure to reduce the computational complexity of transpose convolution and avoid the aliasing effect. This effectively solves the impact of complex backgrounds on traffic sign detection *** results show that the proposed algorithm effectively addresses the challenges of detecting small targets and complex backgrounds, and improves the mean average precision (mAP0.5) by 4.33% compared to the YOLOX-tiny algorithm. © 2023 IEEE.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

2023 3rd international conference on Intelligent Technologies, CONIT 2023

2023 3rd International Conference on Intelligent Technologie...

引用

3rd IEEE international conference on Intelligent Technologies, CONIT 2023

ISBN: (纸本)9798350338607

The proceedings contain 337 papers. The topics discussed include: comparative study of BERT models and Roberta in transformer based question answering;development of low cost automated test system for RF power amplifiers using open sourced python programming;web mining: opportunities, challenges, and future directions;enhancing business intelligence through business analytics and data mining techniques using python;diagnosis of liver diseases using machine learning algorithms and their prediction using logistic regression and ANN;a machine learning based melanoma skin cancer using hybrid texture features;trump card: an user engagement based mobile application with citizens daily work reminder, instant help, and financial assistance facilities;an algorithmic state machine design approach for digital divider controller;soil data analytics using machine learning techniques – a survey;and the machine learning model with hybrid pooling approach for transmission line insulator classification and faults detection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Crime Scene Object detection from Surveillance Video by using Tiny YOLO Algorithm 3

Crime Scene Object Detection from Surveillance Video by usin...

引用

3rd international conference on Pervasive Computing and Social Networking, ICPCSN 2023

作者： Uganya, G. Shadrach, Finney Daniel Sudha, I. Krishnammal, P. Muthu Lakshmanan, V. Nandhini, T.J. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Ece Chennai India Kpr Institute of Engineering and Technology Department of Electronic and Communication Engineering Coimbatore India Chennai India School of Electronics Engineering VIT-AP University Andhrapradesh Amaravati India Sri Eshwar College of Engineering Department of Information Technology Coimbatore India Chennai India

ISBN: (纸本)9798350322842

In recent years, law enforcement agencies and security professionals have rewarded much attention to using artificial intelligence for criminal detection based on video surveillance. The ability of deep learning (DL) models to automatically detect and follow prospective offenders saves time and money for law enforcement organization signs by allowing them to understand complicated patterns from data. This helps them conduct in-depth probes and direct their search efforts more precisely. Bladed crimes, such as swords, daggers, knives, and bayonets, and portable firearms, such as pistols, Hand gun or carbines, rifles, Kinfe and machine guns, are often found at crime scenes. In this research, a deep learning based surveillance system is proposed that is capable of identifying the presence of traced objects, such as handguns and knives, and potentially warning authorities of impending danger. Compared to DL-based object identification algorithms like the Enhanced single shot detector (ESSD) ImageNet and FRCNN (Faster Region-based convolutional neural networks), Tiny YOLO has the best real-time detection mean average precision and inference speed. Thus, proposed solution will incorporate YOLO. © 2023 IEEE.

关键词： Crime

来源：评论

学校读者我要写书评

暂无评论

2023 3rd international conference on Computer, Control and Robotics, ICCCR 2023

2023 3rd International Conference on Computer, Control and R...

引用

3rd international conference on Computer, Control and Robotics, ICCCR 2023

ISBN: (纸本)9781665492126

The proceedings contain 74 papers. The topics discussed include: SP-MAE: lidar beam-induced domain adaptation for 3d object detection via semantic point masked autoencoders;wearable piezoresistive pressure sensor based on graphene and PDMS nanocomposite sponge for footsteps detection;a stride detection algorithm based on triaxial acceleration characteristics of pedestrians;lung diseases detection based on ResNet and deep learning method;video abnormal behavior recognition and hierarchical warning system based on Markov model;a weighted regular heterogeneous-center triplet loss for visible-infrared person re-identification;an online recognition method of badminton stroke based on inertial sensor;research on image lightweight binocular ranging;research on high precision point cloud registration algorithm in dynamic environment;colonic polyp segmentation algorithm based on improved SegFormer network;and machine learning aided classification of noise distribution in scanning electron microscopy images.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Anomaly detection Method for Connecting Bolts of Generator Rotor Coils Based on Local Enhancement and Regional Characteristics 3

Anomaly Detection Method for Connecting Bolts of Generator R...

引用

3rd IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2023

作者： Yin, Hesong Sun, Kai Chen, Shuang Huang, Xiangdong Sun, Zhuang Heilongjiang Mudanjiang Pumped Storage Co. Ltd. Harbin China Harbin Electric Machinery Co. Ltd. Harbin China Harbin Institute of Technology Harbin China

ISBN: (纸本)9781665472784

The real-time detection of the state of the connecting bolt of the rotor coil in the hydro generator unit is of great practical significance for predicting and analyzing the electrical fault of the generator. In this paper, a bolt image detection method based on local enhancement and regional features is proposed. First, the image is locally contrasted in a fixed window to eliminate the problem of uneven image brightness caused by illumination in the visual detection system;Then, the real-time motion blurred image is restored by Wiener filtering, and the bolt shadow extraction algorithm is proposed to recognize the bolt. The experimental results show that the method has high detection efficiency and reliable performance. This method can meet the real-time detection requirements of generator rotor connecting bolts, and has broad application and promotion prospects. © 2023 IEEE.

关键词： Bolts

来源：评论

学校读者我要写书评

暂无评论

IoT based Early Flood detection, Destruction Avoidance and Automated Dam Gate Control system 3

IoT based Early Flood Detection, Destruction Avoidance and A...

引用

3rd international conference on Artificial intelligence and Smart Energy, ICAIS 2023

作者： Sampson, Jenyfal Nandakishore Reddy, Remala Venkata Janardhan Reddy, M. Chandra Narayana, Myla Varun Kumar, Rachapudi Academy of Research and Education Department of Ece Kalasalingam Tamil Nadu India

ISBN: (纸本)9781665462167

The purpose of this study is to predict the flood at the dams and alerting the authorities to make them the people who are living their lives in remote areas i.e., near to the dam to the safer place, so that to reduce the mortality rate due to unprecedented flood. This study predicts the flood by using sensor-based networking system. Here, two ultrasonic sensors are connected to determine the level of water;waterflow sensor is used to know the speed of water;rainfall sensor is used to determine the rainfall. After measuring all the factors, the data is processed to the NodeMCU, which will act as a transmitter and it will transfer the data through the wireless communication to the another NodeMCU, which was situated at the office present at the dam and it will act as a receiver. After analyzing all the values, if the values exceed the limit, an alert will be sent to the authorities and then automatically the dam gates will get open. © 2023 IEEE.

关键词： Wi-Fi

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211页 << < 36 37 38 39 40 41 42 43 44 45 > >>

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：