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

3,019 篇 会议
4 册 图书
4 篇 期刊文献

馆藏范围

3,027 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,291 篇 工学
- 2,037 篇 计算机科学与技术...
- 1,643 篇 软件工程
- 895 篇 信息与通信工程
- 657 篇 控制科学与工程
- 468 篇 网络空间安全
- 418 篇 生物工程
- 322 篇 电气工程
- 273 篇 生物医学工程（可授...
- 240 篇 电子科学与技术（可...
- 219 篇 仪器科学与技术
- 218 篇 石油与天然气工程
- 175 篇 动力工程及工程热...
- 147 篇 光学工程
- 119 篇 安全科学与工程
- 109 篇 机械工程
1,356 篇 理学
- 794 篇 数学
- 436 篇 生物学
- 278 篇 统计学（可授理学、...
- 242 篇 化学
- 193 篇 物理学
- 130 篇 系统科学
830 篇 管理学
- 527 篇 管理科学与工程(可...
- 436 篇 图书情报与档案管...
- 229 篇 工商管理
307 篇 医学
- 237 篇 临床医学
- 235 篇 基础医学(可授医学...
- 167 篇 药学(可授医学、理...
- 166 篇 公共卫生与预防医...
138 篇 法学
- 102 篇 社会学
87 篇 农学
- 86 篇 作物学
81 篇 教育学
80 篇 经济学
10 篇 军事学
2 篇 文学

主题

89 篇 deep learning
87 篇 machine learning
66 篇 internet of thin...
61 篇 blockchain
53 篇 big data
47 篇 support vector m...
46 篇 forecasting
45 篇 data mining
37 篇 students
34 篇 artificial intel...
34 篇 convolutional ne...
33 篇 feature extracti...
32 篇 long short-term ...
30 篇 decision trees
29 篇 sentiment analys...
26 篇 object detection
26 篇 training
25 篇 cybersecurity
24 篇 computer vision
24 篇 power electronic...

机构

58 篇 maharishi school...
57 篇 uttaranchal univ...
39 篇 vishwakarma inst...
36 篇 chitkara univers...
35 篇 vivekananda glob...
32 篇 national univers...
32 篇 the islamic univ...
29 篇 centre of interd...
27 篇 lovely professio...
24 篇 chitkara univers...
24 篇 vishwakarma inst...
24 篇 graphic era deem...
23 篇 sr university sc...
21 篇 school of comput...
20 篇 uttaranchal inst...
19 篇 graphic era hill...
18 篇 maharishi school...
16 篇 vishwakarma inst...
16 篇 college of pharm...
15 篇 ajloun national ...

作者

29 篇 chauhan rahul
17 篇 joshi kapil
17 篇 alazzam malik ba...
14 篇 dhabliya dharmes...
13 篇 gill kanwarparta...
13 篇 gehlot anita
13 篇 tiwari mohit
10 篇 kukreja vinay
10 篇 mondal dipannita
10 篇 vats satvik
10 篇 anand vatsala
9 篇 sharma neha
9 篇 gupta rupesh
9 篇 kumar bura vijay
8 篇 anjali t.
8 篇 kumar ritesh
8 篇 singh vaishali
8 篇 singh akhilendra...
8 篇 singh rajesh
8 篇 abdelminaam diaa...

语言

2,155 篇 其他
872 篇 英文
23 篇 中文

检索条件"任意字段=2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023"

共 3027 条记录，以下是641-650 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：

EMG Feature Selection Approach to Improve Classification Accuracy - A Review 3

EMG Feature Selection Approach to Improve Classification Acc...

引用

3rd international conference on Secure Cyber Computing and Communications, ICSCCC 2023

作者： Agarwal, Shweta Chadha, Raman Bhati, Bhoopesh Singh Chandigarh University Computer Science & Engineering Punjab Mohali India Indian Institute of Information Technology Computer Science & Engineering Haryana Sonepat India

ISBN: (纸本)9798350300710

Nowadays, many computing systems are a part of daily life;therefore, it is more comfortable to communicate with them naturally. The field of human-computer interaction (HCI) was created in order to break down the obstacles to human-computer communication. One of the types of HCI that is, Hand Gesture Recognition (HGR), which predicts the type of a certain hand action. The electrical activity of skeletal muscles is one potential input for these types of models. The purpose of movement produced by the human brain is communicated through electromyography (EMG) signals. In order to identify EMG data that is precise for any class, the most pertinent collection of EMG attribute values must be used to train a system. With the aid of a combination of machine learning and EMG data, this paper aims to present the most recent real-time feature selection techniques and classification algorithms in a comprehensive review of the literature. Finally, several gaps have been found that may point the way for fresh lines of inquiry in the field of EMG-based gesture detection, and a proposed approach for improving the overall classification accuracy of the EMG signal is presented. © 2023 ieee.

关键词： Human computer interaction

来源：评论

学校读者我要写书评

暂无评论

Chewing Detection Using Brightness Changes in Video based on Deep Learning 3

Chewing Detection Using Brightness Changes in Video based on...

引用

3rd ieee international conference on computer Communication and Artificial Intelligence, CCAI 2023

作者： Nakada, Daiki Ogawa, Tomomi Tokyo Denki University Faculty of Science and Engineering Tokyo Japan

ISBN: (纸本)9798350335262

Chewing well is known to be beneficial for human health. However, a simple method to measure the number of chews for health guidance has not been established. In this paper, we propose a simple method to measure the number of chews using a photographic device such as a smart phone. When a video of chewing during eating is filmed, the brightness of the chewer's face changes as the jaw moves up and down due to chewing. When the values are graphed, the change in brightness results in a waveform shape that is easy to understand. Since the number of chews can be estimated from the number of waves in the waveform, the number of chews is measured using a neural network that counts the number of waves. To compensate for the small amount of data, we use a large amount of pseudowaveforms, such as sine waves. Then, a learning model that determines the number of repetitions is created, and a large amount of pseudo-waveform data is used for pre-training. The parameters of the trained model are determining by transfer learning so that the model can be applied to a small amount of data. As a result of learning the video waveform data, we were able to measure 96.6% of the data within ± 2 by moving all the parameters of the trained model. © 2023 ieee.

关键词： Luminance

来源：评论

学校读者我要写书评

暂无评论

Investigating The Role of Deep Learning Technology in Health Care System 3

Investigating The Role of Deep Learning Technology in Health...

引用

3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Karetla, Girija Rani Sriram, Tarigoppula V. S. Joshi, Kapil Gor, Mehul Bothe, Shivaji Bhatia, Shruti Western Sydney University School of Computer Data and Mathematical Sciences Australia Nsrit Department of Cse A.P. Visakhapatnam India Uttaranchal University Uttaranchal Institute of Technology India Parul University Department of Piet India India Graphic Era Hill University Department of Computer Science and Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350399264

A major obstacle to the transformation of health care is the ability to extract information and useful insights from complex, high-dimensional, and varied biological data. Modern biomedical research has seen the emergence of a number of new data sources, some of which are complicated, diverse, poorly documented, and typically unstructured, such as digital health records, neuroimaging, -omics, sensor data, and text. Prior to building predictive or classification models on top of the features, conventional data mining and computational science, complex data and insufficient domain expertise, there are several problems on both phases. New efficient paradigms for creating end-to-end learning approaches from complex information are provided by the most recent deep learning technology advancements. © 2023 ieee.

关键词： Neuroimaging

来源：评论

学校读者我要写书评

暂无评论

Wireless Sensor Network Intrusion Detection Model for Real-time Hazardous Chemical Monitoring 3

Wireless Sensor Network Intrusion Detection Model for Real-t...

引用

3rd international conference on Smart data Intelligence, ICSMDI 2023

作者： Xu, Bing Chen, Youying School of Computer Science and Engineering Yulin Normal University Guangxi Yulin537000 China School of Mathematic and Computer Science Guangdong Ocean University Guangdong Zhanjiang524088 China

ISBN: (纸本)9781665464871

Intelligent video surveillance technology is composed of the extremely complex algorithms and technologies. Hence, this article proposes a wireless sensor network intrusion detection model to perform real-time hazardous chemical monitoring. The video surveillance is mainly obtained through the on-site investigation process. After a preliminary understanding of the on-site situation, the 'centripetal method' or 'centrifugal method' is used to visit the periphery, and finally the surveillance video will be detected. To improve the security, the network intrusion detection model is employed. The performance is validated by testing the model under different conditions. © 2023 ieee.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Improving YOLOv5n for lightweight ship target detection 3

Improving YOLOv5n for lightweight ship target detection

引用

3rd ieee international conference on computer Systems, ICCS 2023

作者： Zhao, Xuemeng Song, Yinglei Shi, Sanxia Li, Shunxin Jiangsu University of Science and Technology School of Automation Jiangsu China

ISBN: (纸本)9798350313666

A lightweight target detection algorithm based on YOLOv5n is proposed for the current problems of low accuracy rate and high hardware and software limitations of ship target detection for near-shore port and river monitoring. First, the neck network of YOLOv5n uses Ghost convolutional structure instead of ordinary convolution and bottleneck structure in the C3 module to reduce network complexity and computation. Second, the SA attention mechanism is introduced in the backbone network to strengthen the feature extraction capability. Finally, the SIoU loss is used as the localization loss to speed up the model convergence and improve the accuracy of the algorithm. The experimental results show that the improved model volume is reduced by 13.2% and the average accuracy is improved by 3.8% on average. Deploying the algorithm acceleration to the edge device NVIDIA Jetson nano, the inference time is as low as 38ms for a single image with 640×640 resolution, which basically meets the requirements of real-time ship detection. © 2023 ieee.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Personalized Confederation Training for Smart Iot Systems: A Cloud - Delivered Structure 3

Personalized Confederation Training for Smart Iot Systems: A...

引用

3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Katariya, Jitendra Kumar Nivesh Vivekananda Global University Department of Computer Science Engineering India Chandigarh School of Business Department of Master of Computer Application Jhanjeri India

ISBN: (纸本)9798350399264

The Internet of Things (IoT) has significantly impacted many facets of contemporary life, and several sophisticated IoT applications and services are already being developed. Recently, the concept of federated learning has been proposed in order to train a globally shared model on IoT devices utilising a large number of user-generated data samples while stopping data leak. Due to the widespread heterogeneities in device, statistics, and model in complex IoT contexts, traditional federated learning is not suitable for instant implementation. In this paper, we present a cloud-edge architecture for intelligent IoT applications that includes a customised federated learning framework. To address the heterogeneity worries in IoT conditions, we examine imaginative altered united learning calculations that could diminish the unfortunate results brought about by heterogeneities in various aspects. The advantages of edge registering empower smart IoT applications to meet the models for high handling pace and low inertness. At long last, we give a contextual investigation of human movement recognition in light of Web of Things to show the advantages of customisable combined learning for intelligent IoT applications. © 2023 ieee.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Privacy-Preserving of Edge Intelligence using Homomorphic Encryption 3

Privacy-Preserving of Edge Intelligence using Homomorphic En...

引用

3rd ieee international conference on Intelligent Technologies, CONIT 2023

作者： Jerang, Ronaldo Nayak, Sumitra Mahato, Ganesh Kumar Kumar Chakraborty, Swarnendu National Institute of Technology Department of Computer Science & Engineering Arunachal Pradesh India

ISBN: (纸本)9798350338607

Edge intelligence has paved the way for a stronger and more secure system by combining security and artificial intelligence. A lot of research have been undertaken, revealing remarkable development and a variety of viewpoints on this novel phenomenon. We suggested a way enabling edge intelligence to move via homomorphic encryption-enabled gadgets and automobiles. This encrypted data will be delivered to an edge node for the building of a machine learning model in order to gather any potential information hidden in the data as well as any potential obstacles that may need to be addressed before any event happens. Several machine learning models, such as KNN, K-means, SVM, and others, are used to gain the best possible data analysis. Once secure, decisions will be taken, and the outcome will be visible. All machine learning training will be done in encrypted data, which will be encrypted to ensure that no one's privacy is abused. This may be set up for a variety of machine learning modules. © 2023 ieee.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Early Warning System from Threat of Wild Animals using Digital Image Processing 3

Early Warning System from Threat of Wild Animals using Digit...

引用

3rd international conference on Smart data Intelligence, ICSMDI 2023

作者： Raji, C.G. Safa, Fathima Jishana, P. Adhil, Mohammed Assumption Autonomous College Dept. of Computer Science Changanassery Kerala India Mea Engineering College Dept. of Computer Science & Engg Kerala Perinthalmanna India

ISBN: (纸本)9781665464871

Wildlife infiltration in places with high human mobility has been proven to be dangerous for both humans and animals. If people fail to recognize an approaching wild animal, it may result in a direct attack. Due to their size and style of movement, monitoring and surveillance of wild animals is challenging. Additionally, it is a significant task to identify the species that were photographed. Elephants, tigers, and monkeys pose a serious threat to humans, and it will take a very long time for them to recover. Because interactions between humans and animals can be harmful to both species, successive frame differencing makes it possible to identify moving objects in videos. By utilizing the traits, the moving objects can be identified. Interactions between humans and animals can be hazardous. The proposed system is based on digital image processing, convolutional neural network and background subtraction method. © 2023 ieee.

关键词： Animals

来源：评论

学校读者我要写书评

暂无评论

An Intent Understanding and Entity Extraction Method Based on Intent-Slot Attention Mechanism 3

An Intent Understanding and Entity Extraction Method Based o...

引用

3rd international conference on Electronic Information Engineering and computer science, EIECS 2023

作者： Cao, Sheng-Yuan Liu, Chen North China University of Technology Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data School of Information Beijing100144 China

ISBN: (纸本)9798350316674

In the realm of chronic disease health dialog, natural language understanding plays a pivotal role. It encompasses two vital subtasks: recognizing user intentions and populating relevant data slots. To establish a symbiotic relationship between these intentions and slots, fostering semantic-level modeling, we present an innovative algorithm for comprehending medical consultation intentions and extracting pertinent entities. This algorithm leverages an intention-slot attention mechanism. Our approach introduces a slot pick-through mechanism, which effectively captures the explicit connection between user intent and data slots. Furthermore, we have designed an intent-slot attention mechanism layer and devised a method for embedding contextual intent information into data slots in the form of intent label vectors. In conclusion, our experimental results, evaluated on the MedDG dataset, demonstrate the superiority of our proposed algorithm over other comparative methods. We achieve an accuracy rate of 78.1% for medical intent recognition, an F1 value of 94.9% for semantic slot-filling, and a sentence-level semantic framing accuracy of 73.2%. © 2023 ieee.

关键词： attention mechanism chronic disease intent-slot

来源：评论

学校读者我要写书评

暂无评论

Vehicle Theft Detection Using Neural Pattern Recognition 3

Vehicle Theft Detection Using Neural Pattern Recognition

引用

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

作者： Jane Rubel Angelina, J. Subhashini, S.J. Kumar Rapuri, Anil Ravva, Vennela Rasala, Raghavendra Ray Adurgam, Sai Dcepak Kalasalingam Academy of Research and Education Dept of Computer Science and Engineering TamilNadu Krishnankoil India SRM Madurai College for Engineering and Technology Dept of Computer Science and Engineering TamilNadu Sivagangai India

ISBN: (纸本)9798350322842

Finding stolen cars is becoming increasingly important in many urban regions. An automated system for scanning license plates can recognize vehicle numbers without the need for human interaction. This work proposes a vehicle theft detection system based on neural pattern recognition, gaussian filter, and equilibrium optimization. The proposed architecture has significant speedup and higher accuracy rates. The proposed number plate recognition method has a maximum accuracy rate of 94% and an average reduction in the processing time of 32%. Pattern recognition is the process of detecting regularities and patterns in data using machine learning. These analogies may now be uncovered via statistical analysis, historical data, or machine-generated knowledge. © 2023 ieee.

关键词： Image segmentation

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303页 << < 61 62 63 64 65 66 67 68 69 70 > >>

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：