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

14,191 篇 会议
294 篇 期刊文献
199 册 图书
6 篇 学位论文

馆藏范围

14,690 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

7,903 篇 工学
- 5,308 篇 计算机科学与技术...
- 2,565 篇 软件工程
- 2,534 篇 电气工程
- 1,454 篇 信息与通信工程
- 939 篇 控制科学与工程
- 753 篇 光学工程
- 548 篇 生物医学工程（可授...
- 536 篇 电子科学与技术（可...
- 513 篇 仪器科学与技术
- 488 篇 机械工程
- 358 篇 生物工程
- 246 篇 测绘科学与技术
- 185 篇 材料科学与工程（可...
- 173 篇 航空宇航科学与技...
- 150 篇 交通运输工程
- 111 篇 安全科学与工程
- 96 篇 化学工程与技术
3,834 篇 理学
- 2,639 篇 物理学
- 1,009 篇 数学
- 411 篇 生物学
- 276 篇 系统科学
- 256 篇 统计学（可授理学、...
- 133 篇 化学
1,610 篇 医学
- 1,422 篇 临床医学
- 250 篇 特种医学
- 185 篇 基础医学(可授医学...
- 113 篇 药学(可授医学、理...
782 篇 管理学
- 469 篇 管理科学与工程(可...
- 339 篇 图书情报与档案管...
- 98 篇 工商管理
67 篇 农学
60 篇 法学
37 篇 教育学
30 篇 经济学
27 篇 文学
20 篇 军事学
19 篇 艺术学
1 篇 哲学

主题

2,879 篇 image processing
1,507 篇 image segmentati...
1,202 篇 signal processin...
660 篇 feature extracti...
626 篇 cameras
592 篇 image edge detec...
590 篇 signal processin...
530 篇 image coding
524 篇 image reconstruc...
475 篇 real-time system...
416 篇 algorithm design...
354 篇 image analysis
352 篇 image color anal...
333 篇 deep learning
332 篇 image enhancemen...
312 篇 object detection
305 篇 pixel
300 篇 hardware
299 篇 real time system...
294 篇 computer archite...

机构

22 篇 signal and image...
19 篇 samara national ...
14 篇 school of electr...
12 篇 department of el...
11 篇 samara national ...
11 篇 univ texas san a...
10 篇 school of electr...
10 篇 center for signa...
9 篇 information syst...
9 篇 institute of ima...
9 篇 tongji universit...
9 篇 university of ch...
8 篇 school of electr...
8 篇 univ chinese aca...
8 篇 university of to...
8 篇 purdue univ sch ...
8 篇 electrical compu...
8 篇 image processing...
8 篇 information syst...
8 篇 samara national ...

作者

19 篇 anon
13 篇 de-shuang huang
12 篇 jagdish chand ba...
11 篇 p. pirsch
10 篇 jie yang
10 篇 panetta karen
10 篇 j.m. mendel
9 篇 c.-c.j. kuo
9 篇 mahalanobis a
9 篇 r. chellappa
8 篇 miller jwv
8 篇 semenishchev e.
8 篇 frank hannig
8 篇 hannig frank
8 篇 ilias maglogiann...
7 篇 busch christoph
7 篇 zelensky a.
7 篇 bovik alan c.
7 篇 jerry m. mendel
7 篇 kupriyanov a.v.

语言

14,370 篇 英文
220 篇 其他
82 篇 中文
20 篇 土耳其文
6 篇 德文
3 篇 葡萄牙文
2 篇 西班牙文
2 篇 俄文
1 篇 法文
1 篇 波兰文

检索条件"任意字段=Conference on Image Processing - Algorithms and Systems III"

共 14690 条记录，以下是1181-1190 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：

An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection 26

An Unsupervised Threshold-based GrowCut Algorithm for Mammog...

引用

26th International conference on Knowledge-Based and Intelligent Information and Engineering systems, KES 2022

作者： Moroz-Dubenco, Cristiana Bajcsi, Adél Andreica, Anca Chira, Camelia Department of Computer Science Babes -Bolyai University Mihail Kogalniceanu 1 Cluj-Napoca400084 Romania

Breast cancer causes numerous deaths worldwide;yet the numbers have decreased in the past years as a result of computer-aided diagnosis and proper treatment. The current paper is addressed to the base of such diagnosis system: pre-processing and segmentation. After a robust pre-processing, an unsupervised version of GrowCut is applied to define the location of the abnormality. We present a method to automatically define the foreground seeds used in GrowCut. For experiments, mammograms from mini-MIAS dataset are used and a precision of 93.63% for the foreground seeds masks is achieved, which leads to promising segmentation results. © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 26th International conference on Knowledge-Based and Intelligent Information & Engineering systems (KES 2022)

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

5th International conference on Advances in Distributed Computing and Machine Learning, ICADCML 2024

5th International Conference on Advances in Distributed Comp...

引用

5th International conference on Advances in Distributed Computing and Machine Learning, ICADCML 2024

ISBN: (纸本)9789819718405

The proceedings contain 35 papers. The special focus in this conference is on Advances in Distributed Computing and Machine Learning. The topics include: Computer-Aided Bundle Branch Block Detection Using Symbolic Features of ECG Signal;block-Chain and Cloud-Based Tender Allocation System;reliability Assessment of IoT-Enabled systems Using Fault Trees and Bayesian Networks;resnet-50 Integrated with Attention Mechanism for Remote Sensing Classification;revolutionizing Data Annotation with Convergence of Deep Learning and Active Learning to Enhance Credibility on Twitter Datasets;statistical and Deep-Learning Approaches for Individual Carbon Footprint Calculation in India;intelligent Healthcare System Using Emerging Technologies: A Comprehensive Survey;Efficient Energy Management by Using SJF Scheduling in Wireless Sensor Network;cost Effective and Energy Efficient Drip Irrigation System for IoT Enabled Smart Agriculture;facial Detection and Recognition in Drone imagery Using FaceNet;valluvan: processing Name Board images to Enhance Communication for Native Tamil Speakers;Optimized VM Migration for Energy and Cost Reduction Using TSO Algorithm in Cloud Computing;A Study on the Mental Health Among Indian Population in the Post COVID-19 Pandemic Using Computational Intelligence;Cloud-Based Anomaly Detection for Broken Rail Track Using LSTM Autoencoders and Cross-modal Audio Analysis;Face Recognition Using CNN for Monitoring and Surveillance of Neurological Disorder Patients;a Novel Approach to Breast Cancer Histopathological image Classification Using Cross-colour Space Feature Fusion and Quantum–Classical Stack Ensemble Method;comparative Analysis of Deep Learning-Based Hybrid algorithms for Liver Disease Prediction;preface;performance Improvements of Covert Timing Channel Detection in the Era of Artificial Intelligence;sign Detection Using an N-Gram Language Model and MobileNet.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multimodal Sign Language and Big Data Integration Research

Multimodal Sign Language and Big Data Integration Research

引用

Communication, image and Signal processing (CCISP), International conference on

作者： Fengqian Song Huiyu Yang Yangyang Zhang Internet Academy Anhui University Hefei China Daguan Data Co. Ltd. Shanghai China

ISBN: (数字)9798350356656

ISBN: (纸本)9798350356663

Sign language is the primary means of communication for the deaf and mute community. The regional and national differences in sign language have led to barriers between different sign language systems, making communication between deaf and mute individuals from different regions challenging. This paper proposes a vision-tactile fusion approach to recognize sign language. The scheme applies a flexible sensor data glove to monitor the angle changes of finger joints, as well as visual image processing technology, to integrate tactile and visual data for sign language recognition. The integration is performed through three methods: weighted average, weighted multiplication, and attention weights, with accuracy rates of 95.55%, 97.87%, and 98.83%, respectively.

关键词： Sign language Visualization image recognition Accuracy Sociology Signal processing algorithms Signal processing Feature extraction Pattern recognition Sensors

来源：评论

学校读者我要写书评

暂无评论

Real-Time Dynamic image Stitching Using GNN-Based Feature Matching

Real-Time Dynamic Image Stitching Using GNN-Based Feature Ma...

引用

Mechatronics and Robotics Engineering (ICMRE), International conference on

作者： Young Hoon Suh Eun Ho Kim Yeong Gwang Choi JaeWook Jeon Dept. of Electrical and Computer Engineering Sungkyunkwan University Suwon Korea

ISBN: (数字)9798331509293

ISBN: (纸本)9798331509309

Especially in static situations, image stitching has been routinely used to seamlessly merge many photographs into a panorama. Using it in dynamic and real-time environments, however, presents a number of difficulties, such as managing shifting objects, changing surroundings, and processing limitations. An image stitching look at that works well in dynamic real-time situations is presented in this paper. The method makes use of GNN-based feature matching, dynamic object removal, and real-time synthesis techniques. Comparative studies suggest that, in comparison to traditional methods like SIFT and ORB, the suggested approach meets real-time processing requirements while achieving greater registration precision, lower homography RMSE, and consistent panoramic outputs. The findings imply that the algorithm might be used in fields where precision and efficiency are required in dynamic circumstances, like parking management systems, sports broadcasting, and autonomous driving.

关键词： Accuracy Smoothing methods Heuristic algorithms Surveillance Real-time systems Robustness image stitching Robots Optimization Sports

来源：评论

学校读者我要写书评

暂无评论

An Adaptive image Windowing Method for Real-Time Object Detection on Board

An Adaptive Image Windowing Method for Real-Time Object Dete...

引用

International conference on Electronics Technology (ICET)

作者： Long Ling Zhijun Lu Manli Shi Jie Wang Yuqing Li Minghe Hu China Academy of Space Technology Beijing Institute of Space Mechanics & Electricity Beijing China

ISBN: (数字)9798350363951

ISBN: (纸本)9798350363968

In order to meet the real-time detection and processing requirements of on-board targets in the field of remote sensing image processing, this paper carries out relevant research from the perspective of software optimization and proposes an onboard adaptive image windowing processing method based on differential evolution algorithm to solve the problem of shortage of on-board hardware computing resources. Based on the adaptive differential evolution algorithm, combined with the engineering application scenario, the algorithm innovatively designs an individual objective function to evaluate the “advantages and disadvantages“ of the algorithm evolution results. By coordinating all the target positions to be tracked in the image plane, the algorithm optimizes the number of windows, and considers the application boundary of the algorithm, which can effectively reduce the amount of data to be processed and greatly improve the timeliness of real-time detection on the board without losing the calculation accuracy.

关键词： Target tracking image processing Software algorithms Object detection Linear programming Real-time systems Hardware

来源：评论

学校读者我要写书评

暂无评论

Identifying Adversarial Attacks in Crowdsourcing via Dense Subgraph Detection

Identifying Adversarial Attacks in Crowdsourcing via Dense S...

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Abdullah Karaaslanli Panagiotis A. Traganitis Aritra Konar Dept. of Electrical & Computer Engineering Michigan State University East Lansing MI USA Dept. of Electrical Engineering KU Leuven Leuven Belgium

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Crowdsourcing is becoming increasingly important for contemporary applications in machine learning and artificial intelligence. However, crowdsourcing systems may be susceptible to adversarial attacks where a subset of annotators deliberately provide erroneous responses. This paper introduces a novel algorithm for identifying adversarial attacks in crowdsourcing systems by recasting the problem as dense subgraph detection in bipartite graphs. In particular, we represent crowdsourced data as a weighted bipartite graph between workers and data points which are connected with edges whose weights are computed from annotators’ responses. The constructed bipartite graph is then analyzed with a sequential peeling algorithm to detect the dense subgraph that includes adversarial attacks. Compared to previous methods where only adversaries are detected, our proposed method can simultaneously identify adversarial annotators as well as affected data points. Preliminary results on real datasets showcase the potential of this novel approach.

关键词： Crowdsourcing Machine learning algorithms image edge detection Signal processing algorithms Machine learning Signal processing Acoustics Bipartite graph Speech processing

来源：评论

学校读者我要写书评

暂无评论

Diabetic Retinopathy Lesion Detection Through Synergistic Analysis of Independent Components and Uncorrelated Discriminant Features 5

Diabetic Retinopathy Lesion Detection Through Synergistic An...

引用

5th International conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Ameerjohn, Sirajudeen Manimaran, M. Saravanan, D. Devaraju, S. Kanna, G. Prabu Aanjankumar, S. School of Computing Science Engineering and Artificial Intelligence Vit Bhopal University Indore Bhopal Highway Madhyapradesh Sehore India School of Computing Science and Engineering Vit Bhopal University Indore Bhopal Highway Madhyapradesh Sehore India

ISBN: (纸本)9798350379945

The growing incidence of blindness, specifically linked to diabetic retinopathy (DR), highlights the need for expandable retina screening programs. The purpose of this work is to determine the distinction between normal and infected retina images by applying Independent Component Analysis (ICA). Although several processing methods help in DR detection, accuracy is still a problem. The accuracy of current techniques, such as multi-scale amplitude modulation and frequency modulation (AM-FM), to differentiate normal and diseased retinal images is restricted. The proposed method seeks to improve the identification of normal retina histories, haemorrhages, exudates, neovascularization, microaneurysms and blood vessel patterns. Optic Nerve Head (ONH) identification uses established parameters from AM and FM-based extraction of features to check illness traits, relying on edge data without disguising. Type 2 diabetes, which is typified by elevated blood sugar levels, causes damage to the arteries and diabetic retinopathy (DR), an important cause of permanent loss of vision that is frequently undiagnosed till severe. In the initial phases of diabetic retinopathy (DR), non-proliferative alterations that damage the walls of retina blood vessels develop to proliferation retinal degeneration, which is marked by aberrant formation of neovascularization. A lesion diagnosis is still difficult, despite its importance in the early identification of DR. For disease identification, the intricacy of retinal anatomy necessitates the use of many images and certain segmentation algorithms. Microaneurysms, haemorrhages, exudates and neovascularization are examples of lesions markers and identifying anomalies requires accurate segment. In conclusion, precise and affordable retinal scanning devices are necessary to deal with the increasing incidence of blindness, especially that caused by DR. To improve DR identification, this investigation suggests utilizing ICA and UDA. © 2024 IEEE.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

A Framework for Mining and Applying Alarm Rules Based on LLM

A Framework for Mining and Applying Alarm Rules Based on LLM

引用

International conference on Vision, image and Signal processing (ICVISP)

作者： Guoqing Li Qian Zhang Haijun Su Mengyuan Zhu Mengqi Liu Haokai Zhang Development Center China Information Technology Designing & Consulting Institute Co. Ltd Beijing China

ISBN: (数字)9798331541460

ISBN: (纸本)9798331541477

Driven by 5G technology, network performance and management requirements are becoming increasingly sophisticated. However, massive and complex alarm information is also coming, posing severe challenges to network operation and maintenance. Accurately identifying alarm correlations and locating alarm root causes has become a core problem for operation and maintenance. In response to this challenge, this paper proposes a framework for mining and applying alarm rules based on large language models, which applies the text understanding capabilities of large language models to alarm processing and can mine uncommon alarm rules. Experimental results show that this framework significantly improves the accuracy and coverage of alarm rules, and improves the response speed and efficiency of network operation and maintenance.

关键词： Technological innovation Correlation Large language models Knowledge based systems Signal processing algorithms Signal processing Real-time systems Maintenance Communication networks Optimization

来源：评论

学校读者我要写书评

暂无评论

image processing for automatic road inventory 15

Image processing for automatic road inventory

引用

15th International Scientific and Technical conference: Applied Mechanics and systems Dynamics, AMSD 2021

作者： Belim, S.V. Khiryanov, E.V. Kvashnina, P.A. Ostrinskaya, L.I. Omsk State Technical University 11 Mira ave Omsk644050 Russia Siberian State Automobile and Highway University Omsk Russia

Road image analysis is an important task for automatic road inventory. The determination geometric dimensions for the road and the identification road objects are subprocess of constructing a road digital image. In this article, two algorithms for solving different subtasks of automatic road image inventory are proposed. The first algorithm identifies road signs. A convolutional artificial neural network is used in this algorithm. The training set for the neural network is prepared. A computer experiment to determine the recognition effectiveness of road signs has been conducted. The second algorithm defines the edges of the pavement. The algorithm consists five stages. The edges of the road are modeled as straight lines. The result allows you to automatically determine the width of the road. © Published under licence by IOP Publishing Ltd.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

A Cooperative Gene Regulatory Network Target Entrapping in GNSS-denied Environments 12

A Cooperative Gene Regulatory Network Target Entrapping in G...

引用

12th International conference on CYBER Technology in Automation, Control, and Intelligent systems, CYBER 2022

作者： Shi, Ze Fan, Zhun Ma, Peili Hong, Juncao Li, Wenji Zhu, Guijie Huang, Huaxing Cai, Yuwei Dong, Zhaohui Zhu, Xiaomin Guangdong Provincial Key Laboratory of Digital Signal and Image Processing College of Engineering Shantou University Shantou515063 China College of Systems Engineering National University of Defense Technology China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

In recent years, the use of gene regulatory network (GRN) to guide swarm robots for target-entrapping tasks has received increasing attention. Even though many GRN-based algorithms for swarm aggregation morphogenesis generation are designed and verified in two-dimensional space, they are not suit-able for target trapping in three-dimensional space with GNSS-denied environments. Therefore, we propose a cooperative GRN (Co-GRN), which can guide swarm robots to complete target-entrapping tasks in GNSS-denied three-dimensional environments. The average distance and enveloping strength are analysed in several simulated scenes, and the effectiveness and flexibility of the proposed method are verified. © 2022 IEEE.

关键词： Genes

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 << < 115 116 117 118 119 120 121 122 123 124 > >>

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：