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

20,237 篇 会议
164 篇 期刊文献
80 册 图书
3 篇 学位论文

馆藏范围

20,484 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

12,752 篇 工学
- 8,302 篇 计算机科学与技术...
- 5,003 篇 软件工程
- 4,984 篇 信息与通信工程
- 4,641 篇 电气工程
- 1,450 篇 控制科学与工程
- 1,324 篇 电子科学与技术（可...
- 1,222 篇 光学工程
- 899 篇 生物医学工程（可授...
- 868 篇 机械工程
- 834 篇 仪器科学与技术
- 811 篇 生物工程
- 329 篇 网络空间安全
- 296 篇 交通运输工程
- 289 篇 安全科学与工程
- 278 篇 化学工程与技术
- 250 篇 动力工程及工程热...
- 188 篇 建筑学
- 179 篇 土木工程
4,663 篇 理学
- 2,148 篇 数学
- 2,067 篇 物理学
- 874 篇 生物学
- 668 篇 统计学（可授理学、...
- 522 篇 系统科学
- 334 篇 化学
1,522 篇 医学
- 1,405 篇 临床医学
- 383 篇 基础医学(可授医学...
- 269 篇 药学(可授医学、理...
1,376 篇 管理学
- 830 篇 管理科学与工程(可...
- 617 篇 图书情报与档案管...
- 208 篇 工商管理
204 篇 法学
136 篇 农学
78 篇 经济学
69 篇 军事学
64 篇 教育学
40 篇 文学
24 篇 艺术学
1 篇 哲学
1 篇 历史学

主题

1,120 篇 image segmentati...
1,061 篇 image coding
1,058 篇 signal processin...
1,009 篇 image processing
988 篇 internet of thin...
953 篇 feature extracti...
828 篇 image reconstruc...
631 篇 internet
553 篇 signal processin...
495 篇 signal to noise ...
478 篇 deep learning
476 篇 image edge detec...
456 篇 training
423 篇 image color anal...
400 篇 cameras
397 篇 robustness
395 篇 image enhancemen...
306 篇 image resolution
292 篇 image recognitio...
289 篇 visualization

机构

58 篇 school of inform...
39 篇 university of sc...
37 篇 signal processin...
29 篇 microsoft resear...
27 篇 university of ch...
26 篇 institute of sig...
26 篇 signal processin...
25 篇 center for signa...
24 篇 university of el...
23 篇 school of electr...
21 篇 ieee
21 篇 college of big d...
20 篇 school of cyber ...
20 篇 department of si...
20 篇 school of inform...
20 篇 signal and infor...
20 篇 school of electr...
19 篇 hsch darmstadt d...
19 篇 peng cheng labor...
19 篇 harbin institute...

作者

31 篇 li zhuo
27 篇 zhuo li
25 篇 sridharan sridha
23 篇 yang yang
23 篇 r.m. mersereau
20 篇 jing zhang
20 篇 wei li
20 篇 gabbouj moncef
19 篇 mansouri majdi
18 篇 zhang lei
18 篇 busch christoph
18 篇 m. gabbouj
17 篇 m.j.t. smith
17 篇 bouzrara kais
17 篇 clinton fookes
17 篇 wang wei
17 篇 zhang yan
16 篇 wang lei
16 篇 takahiro ogawa
16 篇 ghassan alregib

语言

19,942 篇 英文
456 篇 其他
75 篇 中文
7 篇 俄文
6 篇 土耳其文
1 篇 西班牙文

检索条件"任意字段=IEEE International Conference on Signal Image Technology and Internet Based Systems"

共 20484 条记录，以下是601-610 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：

A Deep Assessment of Thermal image-Base Object Detection for a Wide Range of Applications 2

A Deep Assessment of Thermal Image-Base Object Detection for...

引用

2nd international conference on Artificial Intelligence and Machine Learning Applications, AIMLA 2024

作者： Pandurangan, Kamaleswari Nagappan, Krishnaraj SRM University School of Computing Dept. of Networking and Communication SRM Institute Science and Technology Kattankulathur India

ISBN: (纸本)9798350349221

Computer vision enables for the detection of things even in densely populated areas. This work investigates autonomous object detection and activity recognition in static and dynamic images, as well as their potential and restrictions. Several object identification challenges are addressed in relation to illness diagnosis, identifying wild animals, and identifying industrial activities, such as processing, segmentation, and extraction techniques for various object features. It is also critical to highlight the limitations, gaps, technical problems, applicability, and state-of-the-art of the various techniques. Shape-based detection, skin color extraction, edge identification, and an object detector are all approaches we use to identify and classify objects. This contrasts with motion detection, which is less precise when utilized at night. Thermal imaging has been used to track objects in a variety of applications, including surveillance systems and the identification of people and wildlife. We plan to evaluate new object detectors such as YOLO and RCNN. Another route for future research was suggested: investigate various object identification systems, particularly those that deal with thermal video or image detection. © 2024 ieee.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Real Time Fire Detection with Simple Thermal Imaging: A Novel Integration of Threshold and Change Detection Techniques

Real Time Fire Detection with Simple Thermal Imaging: A Nove...

引用

2024 ieee international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2024

作者： Hotkar, Vinayak Prakash Meena, Om Jaiman, Tanmay Maulana Azad National Institute of Technology Department of Electronics and Communication Engineering Bhopal India

ISBN: (纸本)9798350348460

This research study aims to develop a system, for imaging and fire detection by exploring the integration of the ESP32 microcontroller and AMG8833 thermal sensor for image processing. The ESP32 microcontroller is chosen for its power consumption, wireless connectivity and adaptability which simplifies the integration of sensors. The AMG8833 thermal sensor with its 8x8 array of sensors makes thermal imaging more accessible. Our proposed solution leverages the capabilities of the ESP32 to collect and transmit data from the AMG8833 sensor in time for monitoring and analysis purposes. Python is utilized as a programming language to facilitate image processing and implement fire detection systems. By combining these technologies we can create a rather cost effective solution for imaging and fire detection applications. The outcomes of this study lay a foundation for developing reliable systems that advance imaging and fire detection technology. Moreover this combination of ESP32, AMG8833 and Python opens up prospects for research and development in areas such as IoT (internet of Things) and smart sensing applications. © 2024 ieee.

关键词： AMG8833 ESP32 Fire Detection image processing Python Thermal Imaging thermal sensor

来源：评论

学校读者我要写书评

暂无评论

Smart Mushroom Cultivation with Classification of Mushrooms and Disease Detection using image Processing 4

Smart Mushroom Cultivation with Classification of Mushrooms ...

引用

4th international conference on Power, Energy, Control and Transmission systems, ICPECTS 2024

作者： Puviyarasi, B. Logaadhashini, G. Shruthi, P.D. Suveka, S. Sri Sairam Engineering College Department of Electronics and Instrumentation Engineering Chennai India

ISBN: (纸本)9798331508845

Mushrooms, cultivating may be a well-known choice among the agriculturists because it devours less space and less time for developing whereas offering a tall dietary esteem, but most agriculturists come up short to get the leading abdicate from their developments due to the abandons and wasteful aspects within the manual strategies that are being directly utilized. The engineering strategy for IoT and machine learning (ML)-based keen mushroom cultivation is reflected in this study. Classification of mushrooms and cultivation mechanisation are included in the suggested framework. Smart monitoring and cultivation mechanisation are made possible by the internet of Things (IoT), the microcontroller ESP32, and a few agriculturally related sensors. Innovation in machine learning (ML) has been embraced to categorise different types of mushrooms to prevent mixing them together and to separate the disease-affected mushrooms. © 2024 ieee.

关键词： Disease detection image processing internet of things Machine Learning

来源：评论

学校读者我要写书评

暂无评论

IOT based Surveillance Camera with GPS Module

IOT Based Surveillance Camera with GPS Module

引用

2023 ieee international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2023

作者： Baptist Andrews, Leo John Sarathkumar, D. Raj, Raymon Antony Botho University Botswana Department of Information Technology Gaborone Botswana Kongu Engineering College Department of Electrical and Electronics Engineering Erode district Tamilnadu 638 060 India

ISBN: (纸本)9798350398748

The main intention of this paper is to bring about a surveillance camera to execute the act of surveillance in a particular area. At the present time IoT plays a major role in science and technology. The internet of Things is taking us to make secure homes, cities and businesses areas by facilitating both the personal and common organizations to remotely and securely monitor the circumstances. The proposed project is to develop a surveillance camera with GPS module. When the signal given to the Raspberry Pi, it sends the corresponding images taken before and after of the signal given to the Raspberry Pi along with the GPS location of the camera to the higher authority through internet of Things. © 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

Investigating the Relationship between CrB Phase through image Processing and Mechanical Properties of Metal 3D Printed Alloy 4

Investigating the Relationship between CrB Phase through Ima...

引用

4th ieee international conference on Electrical, Computer, and Energy Technologies, ICECET 2024

作者： Park, Dong Yong Park, Hyeon Jeong Lee, Yoon Sun Korea Institute of Industrial Technology Advanced Mobility Components Group Daegu Korea Republic of

ISBN: (纸本)9798350395914

The relationship between the quantified CrB phase via image processing method and the mechanical properties of 3D printed SUS316L with boron was examined. Nine experimental conditions, i.e., boron content, feed rate, laser power, and scan speed, were designed by Taguchi method. The formation of CrB phase in 3D printed alloy with nine process conditions was quantified using image processing method. The image processing algorithm was based on the intensity difference between the regions of CrB phase and others. The CrB phase directly affects the mechanical properties of the 3D printed stainless steel. The quantity of CrB phase and mechanical properties depend on the processing conditions. The mechanical properties for tensile strength and micro hardness with processing conditions were measured. The same processing conditions were used for both quantification of the CrB phase and the mechanical properties test. The relationship between the quantified CrB phase and the mechanical properties was identified. As is generally known, a high amount of CrB phase deteriorates the mechanical properties of materials. Therefore, optimization of the processing conditions is crucially required to achieve the desired mechanical properties. With the signal the signal-to-noise (S/N) ratio analysis, the S/N ratio results for the quantified CrB phase were compared with that for the measured mechanical properties. The comparison through S/N ratio analysis contributes to determination of the influence of the CrB phase on the mechanical properties. Also, the comparison helps in finding of the desired mechanical properties. © 2024 ieee.

关键词： Tensile strength

来源：评论

学校读者我要写书评

暂无评论

Optimizing Multimodal image Fusion: A Novel Approach with Nystrom Attention Mechanisms in Transformer Models

Optimizing Multimodal Image Fusion: A Novel Approach with Ny...

引用

2025 ieee international conference on Acoustics, Speech, and signal Processing, ICASSP 2025

作者： Zeng, Yuqin Wen, Ze Fan, Shuqian Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing China Chongqing School University of Chinese Academy of Sciences Chongqing China Chongqing China

ISBN: (纸本)9798350368741

This work proposed a new model based on transformers for multimodal image fusion, with explicit attention paid to fusing infrared and visible images toward enhanced detail and information content. This method, which incorporates Nystrom attention and skip connections, optimizes the fusion process so that important features of both modalities are preserved. Traditional models find it hard to keep details in the content and introduce artifacts. On the contrary, this model can efficiently cope with these challenges, as it makes use of an attention mechanism that is computationally highly effective. This will efficiently fuse large-scale image data and may be useful in those fields where very detailed and comprehensive visual information is demanded. The detailed evaluations prove that our model has superior performance over the current state-of-the-art methods in texture detail preservation, thermal differentiation, and overall image quality, which possesses great potential for advanced imaging applications. © 2025 ieee.

关键词： attention mechanism image fusion multimodal imaging transformer

来源：评论

学校读者我要写书评

暂无评论

Incorporating Transformer-based Scene Graphs Progressively for image Captioning 17

Incorporating Transformer-based Scene Graphs Progressively f...

引用

17th ieee international conference on signal Processing, ICSP 2024

作者： Zhang, Luchen An, Gaoyun Cao, Shan Beijing Jiaotong University Institute of Information Science Beijing100044 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China Capital Normal University College of Information Engineering Beijing100048 China

ISBN: (纸本)9798350387384

image captioning has made great progress during recent years, partly due to the optimization of the framework, partly due to the abundance of visual features, and partly due to the introduction of other concepts and structures. In this paper, we propose a novel framework called ITSG, which introduces a visual scene graph to assist the image captioning task. The scene graph is implemented based on Transformer. Compared with the previous GNN-LSTM framework, the Transformer-based visual scene graph alleviates the encoding difficulty. The entire model is homogeneous, the model training setting is easier, and the performance of Transformer is more powerful. In order to reasonably use the Transformer-based scene graph mentioned above, we propose a novel module called Progressive Encoding Module, which inputs the object embedding, attribute embedding and relationship embedding of the scene graph into the encoder, and interacts with the image features in turn to obtain a semantically enhanced visual representation. We conduct experiments and comparisons on the proposed method, proving that our method is efficient. © 2024 ieee.

关键词： Graph embeddings

来源：评论

学校读者我要写书评

暂无评论

Sliced Bidirectional Gated Recurrent Unit with Sparrow Search Optimizer for Detecting the Attacks in IoT Environment 3

Sliced Bidirectional Gated Recurrent Unit with Sparrow Searc...

引用

3rd ieee international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Gondkar, Sureka R. Siva Balan, R.V. Kavitha, S. Gondkar, Raju Ramakrishna Bms Institute Of Technology And Management Department Of Electronic And Communication Engineering Bangalore India Department Of Computer Science Bangalore India Nitte Meenakshi Institute Of Technology Department Of Mca Bangalore India

ISBN: (纸本)9798350318609

In an era characterized by pervasive interconnectivity facilitated by the widespread adoption of internet of Things (IoT) devices across diverse domains, novel cybersecurity challenges have emerged, underscoring the imperative for robust intrusion detection systems. Conventional security frameworks, constrained by their closed-system architecture, struggle to adapt to the dynamic threat landscape marked by the continual emergence of unprecedented attacks. This paper presents a methodology aimed at mitigating the open set recognition (OSR) challenge within IoT-specific Network Intrusion Detection Schemes (NIDS). Leveraging image-based representations of data, our approach focuses on extracting geographical traffic patterns. We observe that the Recurrent Neural Network exhibits suboptimal classification accuracy and lacks parallelizability for attack analysis tasks. Our investigation concludes that the Sparrow Search Optimization Algorithm (SSOA) serves as a foundation for constructing an effective assault classification model. This research contributes significantly to the field of network security by emphasizing the importance and ramifications of meticulous hyperparameter tuning. It represents a critical stride toward developing IDSs capable of effectively navigating the evolving cyber threat landscape. In the experimental analysis of proposed model reached the accuracy and 0.963% respectively. © 2024 ieee.

关键词： internet of things

来源：评论

学校读者我要写书评

暂无评论

MRI image-based Advanced Transfer Learning and Machine Learning Architectures for Classifying Alzheimer's Disease 2

MRI Image-based Advanced Transfer Learning and Machine Learn...

引用

2nd international conference on Intelligent Cyber Physical systems and internet of Things (ICoICI)

作者： Das, Tulip Nayak, Chinmaya Kumar Pattnayak, Parthasarathi Sri Sri Univ Fac Emerging Technol Cuttack India KIIT Deemed Be Univ Sch Comp Applicat Bhubaneswar India

ISBN: (纸本)9798331540661;9798331540678

Alzheimer's Disease (AD) is classified as a nerve disorder of the brain characterized by the irreversible degeneration of neurons responsible for computational functions and memory in humans. Exploratory investigations have been devoted to diverse Machine Learning methodologies in the context of AD diagnosis via brain images, such as Magnetic Resonance Imaging. There are several disadvantages to Deep Neural Network models, such as their dependence on large volumes of trained data and their need for a suitable optimisation technique. Here, an attempt is made to tackle these concerns by employing Deep Transfer Learning models. Specifically, previously trained current Convolutional Neural Network models used that have already been trained using large standard benchmark datasets of real-world photos, including Xception, RESNET, Inception, and VGG. Retraining the entirely connected layer with an insignificant number of MRI images ensues. Additionally, the data is augmented in order to facilitate learning from unbalanced datasets, thereby, significantly enhancing the performance of TL models.

关键词： Alzheimer's Disease Deep Transfer Learning Magnetic Resonance Imaging Dementia Optimization

来源：评论

学校读者我要写书评

暂无评论

Improvement Method of Industrial internet of Things Security Mechanism based on Blockchain 9

Improvement Method of Industrial Internet of Things Security...

引用

9th international conference on Intelligent Computing and signal Processing, ICSP 2024

作者： Wang, Han Cheng, Hongguang Zhang, Hengbo Sang, Hongxia Military Science Academy National Defense Engineering Research Institute Beijing100850 China

ISBN: (纸本)9798350376548

In the industrial internet, a large number of devices, data and business logic need to interact and collaborate in a highly interconnected network. The application of block chain technology, through its decentralized, data tamper proof and other features, effectively improves the security of the industrial internet, can ensure the security and reliability of these interaction and collaboration processes, prevent data from being tampered with or leaked, and thus protect the interests of enterprises and users. This article introduces a multi-channel isolation mechanism by constructing a decentralized data sharing and exchange platform. By constructing task and training channels, the effective isolation of intermediate training data and irrelevant nodes in the federated learning blockchain network is achieved. Participants obtain training tasks and global models from the blockchain, use local data for model training, and upload local model parameter updates to the blockchain. Blockchain nodes or smart contracts are responsible for executing the aggregation process of global models, achieving collaborative training of models and further improving data security and privacy protection levels. © 2024 ieee.

关键词： Smart contract

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 << < 57 58 59 60 61 62 63 64 65 66 > >>

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：