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

7,966 篇 会议
81 篇 期刊文献
77 册 图书

馆藏范围

8,124 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5,064 篇 工学
- 3,923 篇 计算机科学与技术...
- 2,388 篇 信息与通信工程
- 1,811 篇 软件工程
- 1,358 篇 电气工程
- 642 篇 控制科学与工程
- 418 篇 动力工程及工程热...
- 372 篇 电子科学与技术（可...
- 314 篇 生物工程
- 222 篇 生物医学工程（可授...
- 209 篇 仪器科学与技术
- 205 篇 机械工程
- 173 篇 测绘科学与技术
- 167 篇 光学工程
- 126 篇 化学工程与技术
- 120 篇 材料科学与工程（可...
- 95 篇 建筑学
- 89 篇 土木工程
- 85 篇 石油与天然气工程
- 85 篇 安全科学与工程
1,380 篇 理学
- 634 篇 数学
- 413 篇 物理学
- 360 篇 生物学
- 213 篇 统计学（可授理学、...
- 138 篇 化学
- 121 篇 系统科学
695 篇 管理学
- 404 篇 管理科学与工程(可...
- 307 篇 图书情报与档案管...
- 149 篇 工商管理
239 篇 医学
- 210 篇 临床医学
- 132 篇 基础医学(可授医学...
84 篇 法学
82 篇 农学
57 篇 经济学
23 篇 军事学
22 篇 教育学
15 篇 文学
1 篇 哲学

主题

1,596 篇 wireless sensor ...
502 篇 neural networks
328 篇 wireless communi...
305 篇 convolutional ne...
255 篇 deep learning
238 篇 sensor nodes
222 篇 routing
217 篇 feature extracti...
185 篇 monitoring
179 篇 image processing
178 篇 signal processin...
172 篇 wireless sensor ...
168 篇 energy consumpti...
166 篇 sensor networks
164 篇 sensors
158 篇 accuracy
149 篇 sensor systems
147 篇 real-time system...
142 篇 protocols
139 篇 routing protocol...

机构

15 篇 chitkara univers...
11 篇 university of ch...
10 篇 univ chinese aca...
10 篇 school of inform...
10 篇 beijing universi...
10 篇 gla university m...
9 篇 south china univ...
9 篇 beijing institut...
8 篇 department of co...
8 篇 department of el...
7 篇 school of inform...
7 篇 chinese academy ...
6 篇 univ wisconsin d...
6 篇 karnataka bangal...
6 篇 computer network...
6 篇 shanghai jiao to...
6 篇 school of comput...
6 篇 school of electr...
6 篇 amrita vishwa vi...
6 篇 shihezi universi...

作者

12 篇 wang wei
11 篇 chen chen
9 篇 liu yang
9 篇 li qiang
8 篇 zhang tao
8 篇 wang lei
7 篇 wei liu
7 篇 liu wei
7 篇 cao jiannong
6 篇 badache nadjib
6 篇 jiao licheng
6 篇 wei wang
5 篇 zhou jie
5 篇 li xin
5 篇 hui wang
5 篇 pitchaimanickam ...
5 篇 soman k. p.
5 篇 liu ying
5 篇 zhang sheng
5 篇 qiang li

语言

7,960 篇 英文
153 篇 其他
19 篇 中文
1 篇 俄文

检索条件"任意字段=5th International Conference on Informational Processing in Sensor Networks"

共 8124 条记录，以下是431-440 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：

2023 5th international conference on Artificial Intelligence and Computer Applications, ICAICA 2023

2023 5th International Conference on Artificial Intelligence...

引用

2023 5th international conference on Artificial Intelligence and Computer Applications, ICAICA 2023

ISBN: (纸本)9798350323313

the proceedings contain 173 papers. the topics discussed include: restricted area sign detector using YOLO v5;research on distance teaching course interactive system based on computer algorithm research data;APT detection and attack scenario reconstruction based on big data analysis;new image processing: VGG image style transfer with gram matrix style features;trajectory measurement and positioning of underwater vehicle based on monocular stereo vision;the importance of multi feature extraction and fusion for prediction of protein subcellular localization;design and implementation of FPGA-based four-dimensional ultra chaotic system;flocking towards a robust mobile network topology;real time speech recognition method for online complaints from power grid customers based on improved residual network;optimization of parking space detection system based on ZigBee wireless sensor network;and a wire drawing defect detection approach for FDM 3D printing based on machine vision technology.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Based Image Analysis for Classification of Foot and Mouth Disease in Cattle 5

Deep Learning Based Image Analysis for Classification of Foo...

引用

5th international conference on Inventive Research in Computing Applications, ICIRCA 2023

作者： Shebiah, R. Newlin Arivazhagan, S. Mepco Schlenk Engineering College Centre for Image Processing and Pattern Recognition Department of Electronics and Communication Engineering Tamilnadu Sivakasi626005 India

ISBN: (纸本)9798350321425

Foot and mouth disease (FMD) poses a substantial threat to the global cattle industry, as it is a highly contagious viral infection. Timely detection and precise classification of FMD in cattle are essential for effective disease management and control. the proposed method harnesses the power of convolutional neural networks (CNNs) to automatically extract distinguishing features from cattle images and classify whether the cattle is diseased or not. Furthermore, a pre-trained architecture such as MobileNetV2 is employed and fine-tuned for FMD classification. Experiments were performed to assess the effectiveness of the proposed approach, taking into account metrics such as accuracy, precision, recall, and F1-score. the experimental results demonstrate the efficacy of proposed deep learning-based classification approach, achieving impressive accuracy rates in differentiating between healthy and FMD-infected cattle. © 2023 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Research on Backdoor Attack against Deep Graph Neural Network 5

Research on Backdoor Attack against Deep Graph Neural Networ...

引用

5th international Academic Exchange conference on Science and Technology Innovation, IAECST 2023

作者： Gao, Yukai Huang, Jing Xinjiang University School of Computer Science and Technology Urumqi China Xinjiang University College of Mathematics and System Science Urumqi China

ISBN: (纸本)9798350357738

Recently, deep graph neural networks have achieved promising performance and become an essential prediction model. However, graph neural networks are susceptible to backdoor attacks during the training process. the learning model corrupted in this method functions normally, but when certain graph structure in the input, generates a predefined target class. Existing advanced backdoor attacks are almost concentrated on image processing and ignore sophisticated graph structure model. In this work, we utilize a gradient maximum method to encourage the graph neural network to generate a certain sub-graph pattern with target label as the backdoor trigger. Subsequently, the universal trigger is utilized to influence the prediction results of target neural network model. To future extend the proposed attack, we simulate the real-world chemical dataset to predict the labels. From our extensive experiments, we can observe that our model can achieve the attack with acceptable attack success ratio and invisibility. © 2023 IEEE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

IoT Data Collection and processing System Using LoRa WAN Technology 5

IoT Data Collection and Processing System Using LoRa WAN Tec...

引用

5th IEEE international conference on Advanced Information and Communication Technologies, AICT 2023

作者： Vulchak, Pavlo Brych, Mykola Yaremko, Oleh Strykhalyuk, Bohdan Dumych, Stepan Lviv Polytechnic National University Department of Telecommunications Lviv Ukraine Lviv Polytechnic National University Department of Radioelectronic Devices and Systems Lviv Ukraine

ISBN: (纸本)9798350372571

this paper delves into the burgeoning field of the Internet of things (IoT), focusing on the pivotal role of LoRaWAN (Long Range Wide Area Network) technology in constructing long-range, energy-efficient IoT networks. We provide an in-depth analysis of LoRaWAU technology and compare it with other technologies like NB-IoT, LTE-M, and SigFox, shedding light on its relative strengths and weaknesses. In particular, we develop a full software-defined LoRaWAN network with the gateway, end devices, network and application servers, the developed network is integrated with the things Network (TTN) for device configuration and data visualization. the experimental analysis of the network's transmission range across different propagation factors, has been conducted to prove the efficacy and reliability of LoRaWAN networks for IoT implementations across diverse domains. © 2023 IEEE.

关键词： Wide area networks

来源：评论

学校读者我要写书评

暂无评论

sensor Embedding and Variant Transformer Graph networks for Multi-source Data Anomaly Detection 5th

Sensor Embedding and Variant Transformer Graph Networks for ...

引用

5th international conference on Neural Computing for Advanced Applications (NCAA)

作者： Ma, Liwei Huang, Zhe Peng, Bei Zhang, Mingquan He, Wangpeng Wang, Yu Xi An Jiao Tong Univ Sch Mech Engn Xian Peoples R China Wuhan Second Ship Design & Res Inst Wuhan Peoples R China Xidian Univ Sch Aerosp Sci & Technol Xian Peoples R China

ISBN: (纸本)9789819770007;9789819770014

With the rapid development of sensor technology and the proliferation of multi-source data, anomaly detection of multi-source time series data has become more and more important. In the past, anomaly detection methods often deal with the temporal information and spatial information contained in the data separately, which makes the spatio-temporal information in the data unable to be fully utilized by the model. To this end, this paper proposes a fusion of sensor embedding and temporal representation networks to solve this problem. In addition, we adopt graph neural network to better model multi-source heterogeneous data, and enhance the accuracy of anomaly detection by combining the double loss function of reconstruction loss and prediction loss. this approach not only facilitates the learning of normal behavior patterns from historical data but also enhances the model's predictive capabilities, allowing for more accurate anomaly detection. Experimental results on four multi-source sensor datasets show the superiority of the proposed method compared with the existing models. Further analysis show that the model enhances the interpretability of anomaly detection through the analysis of anomaly associated sensors.

关键词： multi-source time series anomaly detection graph neural network model interpretability

来源：评论

学校读者我要写书评

暂无评论

Carbon Monoxide Concentration Monitoring System for Automating Air Filters 5

Carbon Monoxide Concentration Monitoring System for Automati...

引用

5th international conference on Emerging Smart Computing and Informatics, ESCI 2023

作者： Ghadge, Ameya Juvekar, Ayush Wakode, Madhuri Kale, Geetangali Pune Institute of Computer Technology Department of Computer Engineering Pune411043 India

ISBN: (纸本)9781665475242

As urbanization continues to accelerate at a break-neck pace, the need for smart cities has become increasingly pressing. this need is particularly evident in developing countries, such as India, where the rapid pace of growth has led to significant problems, including the issue of air pollution. Inhaling pollutants over extended periods of time can be harmful to human health, and can even be life-threatening. Carbon monox-ide (CO) is one such pollutant, and its detection and control in residential and industrial environments is critical to avoid potential health problems. To address this issue, sensor networks can be deployed in affected areas to measure the concentrations of different gases and to take necessary action to reduce their levels in the air. Wireless sensor networks (WSNs) are currently a popular research area due to their potential applications, and this paper discusses the implementation of WSNs for monitoring CO concentration in order to automate the filtration process using the Zigbee Protocol for communication. By deploying sensor networks and leveraging the power of the Zigbee Protocol, we can help to mitigate the damaging effects of air pollution and improve the quality of air in the cities. © 2023 IEEE.

关键词： sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Fall Detection Technique for Older Individuals based on Deep Layered Neural networks Embedded with Transfer Learning 5

Fall Detection Technique for Older Individuals based on Deep...

引用

5th international conference on Smart Systems and Inventive Technology, ICSSIT 2023

作者： Deepika, J. Akilandeswari, J. Sona College of Technology Department of Information Technology India

ISBN: (纸本)9781665474672

the vital priority of the society is to render helping hand to most fragile category of people such as older individuals, neurogenerative disease affected patients, etc. to lead their normal routine social life being physically active without lowering their quality of life and not losing their autonomy. As ageing progress, the elderly adults experience falls and those consequences lead to lesser quality of life due to the injuries occurred L this further adds to the fear of falling and reduced physical activity. the first solution of protection against the negative effects of falling is to identify fragility and high fall risk at an early stage. the development of novel techniques to identify potential fallers before any fall occurs would be the second solution of protection. the Artificial lntelligence (AD technique is used to examine and prevent falls from the signal-hised image gathered from the gyroscope or the accelerometer sensor information. the several layers of convolutional neural network are used with different dilation rates for extracting different categories of feature selection. the performance evaluation hised on the experimental results on the signal image dataset proves higher accuracy of classification rate. © 2023 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Detecting Anomalous Events in Object-Centric Business Processes via Graph Neural networks 5th

Detecting Anomalous Events in Object-Centric Business Proces...

引用

5th international conference on Process Mining (ICPM)

作者： Niro, Alessandro Werner, Michael Univ Amsterdam Amsterdam Netherlands

ISBN: (纸本)9783031561061;9783031561078

Detecting anomalies is important for identifying inefficiencies, errors, or fraud in business processes. Traditional process mining approaches focus on analyzing 'flattened', sequential, event logs based on a single case notion. However, many real-world process executions exhibit a graph-like structure, where events can be associated with multiple cases. Flattening event logs requires selecting a single case identifier which creates a gap with the real event data and artificially introduces anomalies in the event logs. Object-centric process mining avoids these limitations by allowing events to be related to different cases. this study proposes a novel framework for anomaly detection in business processes that exploits graph neural networks and the enhanced information offered by object-centric process mining. We first reconstruct and represent the process dependencies of the object-centric event logs as attributed graphs and then employ a graph convolutional autoencoder architecture to detect anomalous events. Our results show that our approach provides promising performance in detecting anomalies at the activity type and attributes level, although it struggles to detect anomalies in the temporal order of events.

关键词： Object-centric Process Mining Graph Neural networks Anomaly Detection

来源：评论

学校读者我要写书评

暂无评论

A Demonstration Platform for Large-Scaled Point Cloud Network Based on 28nm 2D/3D Unified Sparse Convolution Accelerator 5

A Demonstration Platform for Large-Scaled Point Cloud Networ...

引用

5th IEEE international conference on Artificial Intelligence Circuits and Systems, AICAS 2023

作者： Feng, Xiaoyu Sun, Wenyu Fan, Shupei Tang, Chen Yang, Yixiong Yue, Jinshan Liao, Qingmin Yang, Huazhong Liu, Yongpan Tsinghua University China Tsinghua Shenzhen International Graduated School China Chinese Academy of Sciences China

ISBN: (纸本)9798350332674

3D point cloud processing plays an important role in many emerging applications such as autonomous driving, visual navigation, and virtual reality. It calls for hardware acceleration of multiple key operations, including 3D Submanifold SCONV, 3D non-Submanifold SCONV, and 2D SCONV. this work presents a 2D/3D unified sparse convolution accelerator for large-scale voxel-based point cloud networks. the chip is fabricated in TSMC 28nm CMOS technology to achieve 3.3-16.9 FPS running from 60-400MHz when computing the SECOND network on KITTI dataset. this work has been included by ISSCC2023 [1]. A demonstration is given to show the real-time 3D processing with a lidar sensor. © 2023 IEEE.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Advanced Communication in Cyber Physical System Infrastructure, Protocols, and Challenges 5

Advanced Communication in Cyber Physical System Infrastructu...

引用

5th IEEE international conference on Electrical, Computer and Communication Technologies, ICECCT 2023

作者： Haldorai, Anandakumar Ravishankar, C.V. Mahdi, Qaysar S. Nehru, G. Jawaharlal Sri Eshwar College of Engineering Coimbatore India Sambhram Institute of Technology Karnataka Bangalore India Tishk International University-Erbil Faculty of Engineering Kurdistan Iraq ST. Martins Engineering College Telangana Secunderabad India

ISBN: (纸本)9781665493604

In contemporary developments like Cyber Physical System (CPS) and the Internet of things (IoT), computerized integrated connection is seen as a trend. Some of the unique research issues in CPS include security, confidentiality, business intelligence, participatory monitoring, and smart decision making. A secure infrastructure, reliable protocols, and high-quality solutions are just a few of the other Wireless sensor networks (WSN) obstacles that must be overcome. this paper provides a critical survey of advanced communications and sensing in CPS infrastructures, protocols as well as challenges. A CPS framework, including its protocols and implementations, are described in this work. Mobile sensor Information Agent (MSIA) signifies a software-centric mobile sensor system. It operates as a plug-in with the CPS framework and scalability mobile apps. With the MSIA, data from numerous external sensors may be collected and sent to the cloud as needed. Integration with the real environment is essential to CPS's stability and security as well as its dependability and resilience. Emerging Software-Defined Networking (SDN) technologies may be coupled with CPS architecture as a communications network to build this system. thereby, it is feasible to enhance the performance of the system utilizing an SDN-based CPS architecture © 2023 IEEE.

关键词： Cyber Physical System

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 << < 40 41 42 43 44 45 46 47 48 49 > >>

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：