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

12,617 篇 会议
197 篇 期刊文献
163 册 图书
1 篇 学位论文

馆藏范围

12,978 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

6,573 篇 工学
- 4,314 篇 计算机科学与技术...
- 2,196 篇 软件工程
- 1,915 篇 电气工程
- 1,290 篇 信息与通信工程
- 822 篇 控制科学与工程
- 664 篇 光学工程
- 460 篇 生物医学工程（可授...
- 450 篇 电子科学与技术（可...
- 446 篇 机械工程
- 421 篇 仪器科学与技术
- 316 篇 生物工程
- 241 篇 测绘科学与技术
- 157 篇 材料科学与工程（可...
- 149 篇 航空宇航科学与技...
- 134 篇 交通运输工程
- 102 篇 安全科学与工程
- 87 篇 网络空间安全
3,179 篇 理学
- 2,128 篇 物理学
- 907 篇 数学
- 358 篇 生物学
- 244 篇 系统科学
- 225 篇 统计学（可授理学、...
- 120 篇 化学
1,431 篇 医学
- 1,268 篇 临床医学
- 196 篇 特种医学
- 158 篇 基础医学(可授医学...
- 101 篇 药学(可授医学、理...
695 篇 管理学
- 421 篇 管理科学与工程(可...
- 295 篇 图书情报与档案管...
- 86 篇 工商管理
58 篇 农学
56 篇 法学
29 篇 教育学
27 篇 文学
26 篇 经济学
18 篇 军事学
17 篇 艺术学
1 篇 哲学

主题

2,646 篇 image processing
1,385 篇 image segmentati...
1,141 篇 signal processin...
612 篇 cameras
594 篇 feature extracti...
585 篇 image edge detec...
530 篇 signal processin...
465 篇 image reconstruc...
464 篇 image coding
462 篇 real-time system...
386 篇 algorithm design...
334 篇 image color anal...
310 篇 deep learning
307 篇 pixel
305 篇 image enhancemen...
299 篇 real time system...
293 篇 object detection
289 篇 computer archite...
285 篇 hardware
284 篇 neural networks

机构

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

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
10 篇 r. chellappa
10 篇 a. ortega
9 篇 c.-c.j. kuo
8 篇 frank hannig
8 篇 hannig frank
8 篇 ilias maglogiann...
8 篇 carli m.
7 篇 miller jwv
7 篇 busch christoph
7 篇 semenishchev e.
7 篇 zelensky a.
7 篇 bovik alan c.
7 篇 jerry m. mendel

语言

12,679 篇 英文
211 篇 其他
75 篇 中文
20 篇 土耳其文
3 篇 葡萄牙文
2 篇 德文
2 篇 俄文
1 篇 西班牙文
1 篇 法文

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

共 12978 条记录，以下是341-350 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：

Anomaly Detection in Load Forecasting for Electric Vehicles Using image processing Techniques 24

Anomaly Detection in Load Forecasting for Electric Vehicles ...

引用

24th EEEIC International conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power systems Europe, EEEIC/I and CPS Europe 2024

作者： Marandi, Saba Moradzadeh, Arash Moayyed, Hamed Assi, Chadi Ghafouri, Mohsen Vale, Zita Concordia University Ciise Department Montreal Canada Qatar University Electrical Engineering Department Doha Qatar Polytechnic of Porto GECAD-LASI Department Porto Portugal

ISBN: (纸本)9798350355185

The incorporation of electric vehicles (EVs) into the power grid presents significant challenges, particularly in meeting the electricity requirements of EVs through effective distribution strategies, efficient energy allocation, and optimal charging station placement. Accurate forecasting of load demand is critical for both the operational and planning aspects of energy systems, particularly due to the influence of EV travel behavior. This study introduces a hybrid approach to EV load forecasting using deep learning models to tackle this challenge. The proposed CLSTM model integrates convolutional neural network (CNN) and long short-term memory (LSTM) algorithms. Furthermore, the study introduces and applies an anomaly detection model based on image processing. The forecasting process initially uses clean data and then advances to a scenario involving a simulated cyber-attack by manipulating certain input data, which is referred to as a false data injection attack. After analyzing the data using various evaluation metrics and confirming anomalies, the image processing model identifies these anomalies through data visualization. In conclusion, a thorough evaluation of the results under both clean and compromised forecasting conditions unequivocally demonstrates that the CLSTM model not only surpasses the performance of traditional models but also exhibits greater robustness and accuracy. This superior performance highlights the CLSTM model's potential as a more reliable and effective solution for forecasting in scenarios impacted by data integrity issues. © 2024 IEEE.

关键词： Vehicle-to-grid

来源：评论

学校读者我要写书评

暂无评论

UAV image object detection based on improved Yolov8 4

UAV image object detection based on improved Yolov8

引用

4th International conference on image processing and Intelligent Control, IPIC 2024

作者： Zhang, Wei Wang, Jiaxin Wang, Dan Kong, Xiangwei Institute of Measurement and Testing Technology Chinese Flight Test Establishment Xi'an710089 China

ISBN: (纸本)9781510682313

In a variety of UAV application scenarios, such as agricultural monitoring, urban safety and traffic management, high-precision image object detection is crucial for real-time analysis and decision-making. Traditional object detection algorithms are often ineffective in dealing with small objects in complex environments. To this end, this paper proposes an improved YOLOv8 model that integrates a NAM (Normalization-based Attention Module) attention mechanism and a Bidirectional Feature Pyramid Network (BiFPN) specifically to optimize the object detection performance of UAV images. The NAM module enhances the model's spatial attention capability by utilizing a normalization process that This enables the model to adaptively emphasize important feature regions in the image, which significantly improves the recognition accuracy of small-scale objects without adding too much computational burden. BiFPN further optimizes the flow of information between different scales, which improves the efficiency of feature utilization and the overall performance of detection. Extensive experiments on the VisDrone2019 dataset show that the improved YOLOv8 model improves the mAP metrics by 11.3% compared to the original model, and performs especially well in scenes with complex backgrounds and the presence of multi-scale objects. This study not only validates the potential application of NAM in UAV vision tasks, but also provides a new technical path for the implementation of deep learning models in real monitoring systems. © 2024 SPIE.

关键词： image analysis

来源：评论

学校读者我要写书评

暂无评论

International conference on Integrated Intelligence and Communication systems, ICIICS 2023

International Conference on Integrated Intelligence and Comm...

引用

2023 International conference on Integrated Intelligence and Communication systems, ICIICS 2023

ISBN: (纸本)9798350315455

The proceedings contain 286 papers. The topics discussed include: utilizing machine learning to analyze and implement task scheduling algorithms in cloud;real time fire detection and alert triggering system;a dynamic model for blended learning of university English based on K-Means clustering algorithm;real time eye-tracking mouse control using recurrent neural network;collaborative virtual storage technology based on mobile cloud computing;enhanced intrusion detection system using Pearson correlation based long short-term memory;construction of group algorithm model under green innovation capability technology;numerical simulation and analysis of integrated mobile medical building based on finite element method;the implementation and optimization of high-performance image processing algorithms based on artificial intelligence;and research on photographic image classification based on multi-model fusion and data augmentation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Wavelet based Convolutional Autoencoder for Medical image Compression

Wavelet based Convolutional Autoencoder for Medical Image Co...

引用

2023 International conference on Intelligent systems for Communication, IoT and Security, ICISCoIS 2023

作者： Venugopal, Muthalaguraja Palanisamy, Kalavathi Department of Computer Science and Applications Gandhigram Tamil Nadu India

ISBN: (纸本)9798350335835

Deep learning approaches have seen tremendous progress lately, particularly in image processing. In image compression, the deep autoencoders are predominantly showing promising results. Autoencoders have demonstrated exceptional performance in image compression tasks when compared to conventional lossy algorithms used for compression, in both the quantitative and qualitative aspects, despite the fact that they are lossy image compression approaches. This paper, puts forth a wavelet-based autoencoder-style compression approach for medical image compression. The proposed architecture is composed of four modules namely Pre-processing, Encoder, Decoder and Enhancement module. In order to achieve remarkable compression performance on the medical images, this method utilizes the advantage of wavelet decomposition technique to extract finer details from the low and high frequency components of the medical image. The experimental findings suggest that our approach achieves notable image compression performance. It outperforms the established JPEG in terms of the objective and subjective metrics PSNR and SSIM, and it also yields results that are comparable to those of JPEG2000 and BPG. © 2023 IEEE.

关键词： image compression

来源：评论

学校读者我要写书评

暂无评论

Plant Leaf Disease Identification Method Using Computer Vision and Machine Learning algorithms

Plant Leaf Disease Identification Method Using Computer Visi...

引用

2023 International conference on Integrated Intelligence and Communication systems, ICIICS 2023

作者： Sohan, Ismail Hossain Rahman, Saidur Chhabra, Gunjan Kaushik, Keshav Haque, Rezaul Dept. of Cse Dhaka Bangladesh Graphic Era Hill University Dept. of Cse Dehradun India University of Petroleum and Energy Studies School of Computer Science Dehradun India East West University Dept. of Cse Dhaka Bangladesh

ISBN: (纸本)9798350315455

This paper proposes an image processing-based method for detecting plant diseases. The system's three key phases are acquisition, pre-processing, and disease identification. Pictures of plant leaves are taken during the image acquisition stage using a digital camera. The image preprocessing stage involves enhancing and pre-processing the collected images to eliminate noise and extraneous data. The pre-processed photos are finally sorted into healthy or unhealthy, utilizing machine learning techniques in the illness identification step. This paper will represent how we can detect plant leaf diseases using a specific software system. It will also find the percentage of accuracy and error of disease detection based on the number of detected images. The leaf disease finding procedure information will also be explained here step by step. According to experimental data, the proposed approach has a high level of accuracy in detecting plant illnesses. Farmers can utilize the system as a valuable tool to detect plant illnesses early, minimizing yield losses and enhancing crop management techniques. © 2023 IEEE.

关键词： Disease detection Feature extraction image classification image processing Machine Learning

来源：评论

学校读者我要写书评

暂无评论

Federated heuristic optimization based on fuzzy clustering and red fox optimization algorithm

Federated heuristic optimization based on fuzzy clustering a...

引用

IEEE International conference on Fuzzy systems (FUZZ-IEEE)

作者： Polap, Dawid Prokop, Katarzyna Srivastava, Gautam Silesian Tech Univ Fac Appl Math Kaszubska 23 PL-44100 Gliwice Poland Brandon Univ Dept Math & Comp Sci Brandon MB R7A 6A9 Canada

ISBN: (纸本)9798350332285

Heuristic algorithms are dependent on many coefficients like the number of iterations or individuals. However, quite often these algorithms move individuals toward the best in the population. Based on this observation, we propose the idea of federated heuristics. The proposed idea is to initially distribute individuals into certain intervals. Then, it performs a specified number of iterations of the algorithm to identify the potentially best intervals. Sorted intervals (in relation to the best-adapted individual) make it possible to separate the appropriate size of the population in each of them. Moreover, these clusters are merged by a fuzzy algorithm due to a decrease in their numbers. The more significant the interval, the greater the number of individuals and iterations allocated in these areas. As a consequence, several instances of the selected heuristic algorithm are triggered, which can divide the best individual. The proposed technique was described using the red fox algorithm and tested at a classic set of functions with different parameters of the used heuristic.

关键词： fuzzy neural network heuristic image processing

来源：评论

学校读者我要写书评

暂无评论

Cones 2: Customizable image Synthesis with Multiple Subjects 37

Cones 2: Customizable Image Synthesis with Multiple Subjects

引用

37th conference on Neural Information processing systems (NeurIPS)

作者： Liu, Zhiheng Zhang, Yifei Shen, Yujun Zheng, Kecheng Zhu, Kai Feng, Ruili Liu, Yu Zhao, Deli Zhou, Jingren Cao, Yang USTC Hefei Peoples R China SJTU Shanghai Peoples R China Ant Grp Hangzhou Peoples R China Alibaba Grp Hangzhou Peoples R China Alibaba DAMO Acad Hangzhou Peoples R China

ISBN: (纸本)9781713899921

Synthesizing images with user-specified subjects has received growing attention due to its practical applications. Despite the recent success in single subject customization, existing algorithms suffer from high training cost and low success rate along with increased number of subjects. Towards controllable image synthesis with multiple subjects as the constraints, this work studies how to efficiently represent a particular subject as well as how to appropriately compose different subjects. We find that the text embedding regarding the subject token already serves as a simple yet effective representation that supports arbitrary combinations without any model tuning. Through learning a residual on top of the base embedding, we manage to robustly shift the raw subject to the customized subject given various text conditions. We then propose to employ layout, a very abstract and easy-to-obtain prior, as the spatial guidance for subject arrangement. By rectifying the activations in the cross-attention map, the layout appoints and separates the location of different subjects in the image, significantly alleviating the interference across them. Both qualitative and quantitative experimental results demonstrate our superiority over state-of-the-art alternatives under a variety of settings for multi-subject customization. Project page can be found here.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence in Natural Disaster: Data Crawling- and Text Mining-Based Literature Review 8

Artificial Intelligence in Natural Disaster: Data Crawling- ...

引用

8th International conference on Informatics and Computing, ICIC 2023

作者： Ramadhan, Zhafran Yunita, Ariana Universitas Pertamina Department of Computer Science Jakarta Indonesia

ISBN: (纸本)9798350342604

A literature review is an essential part of research. Beginning researchers who would like to conduct research in any field commonly review previous papers to identify trends and gaps in research. However, conducting a literature review is challenging, particularly for novice researchers. First, synthesising previous related works can be time-consuming. Second, accessing expensive databases such as Scopus and Web of Science might be inaccessible for novice researchers in developing countries. Thus, the purpose of this paper is to present a review performed by data crawling ArXiv and using latent Dirichlet allocation (LDA), a topic modelling algorithm. In this paper, we provide an overview of the topic models of natural disasters and artificial intelligence. Papers from 2017-2022 were crawled using Python with specific keywords, and only papers written in English were eligible for further analysis. Then, the papers were pre-processed by lowering the text, removing punctuation and stop words, tokenising, and lemmatising with POS tagging techniques. Pre-processed papers were then trained using the LDA algorithm. For evaluation, coherence metrics were used to determine the optimal number of topics. There were five topics resulting from the topic modelling algorithm. The clusters were qualitatively analysed and labelled as image classification, algorithms, social media analysis, natural language processing, and machine learning. Further findings are also discussed. © 2023 IEEE.

关键词： Natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

Analysis of Optimization on Sparse Matrix Vector Multiplication Model Application in Digital Signal processing 3

Analysis of Optimization on Sparse Matrix Vector Multiplicat...

引用

3rd IEEE International conference on Electrical Power and Energy systems, ICEPES 2024

作者： Shaji, Alden C Khare, Kavita Maulana Azad National Institute of Technology Electronics & Communication Engineering Department Bhopal India

ISBN: (纸本)9798350390728

Conventional digital signal processing (DSP) technology, utilizing DSP and FPGA, excels in real-time signal processing but faces limitations in handling large-scale data and achieving high frequency resolution. This restricts its effectiveness for tasks involving offline data processing, analysis, and mining in applications with extensive data volumes. Some of the SpMV applications in image editing operations like linear filtering, resizing and mixing are reformulated in the SpMV multiplication form. The growing complexity of applications and the demand for top-notch digital data necessitate a boost in processing power. With energy efficiency becoming a critical concern, there is research on designing SpMV algorithms that minimize energy consumption. This is particularly relevant for embedded DSP systems and applications where power efficiency is a key consideration. A comparative study of High-Level Synthesis (HLS) techniques to reduce the power consumption and resource utilization conducted on Xilinx-Zynq 7000 FPGA is presented. This paper explores various HLS pragmas techniques using OpenCL framework applied on Sparse Matrix Vector Multiplication (SpMV) kernel for optimizing power efficiency and resource utilization. HLS has emerged has a pivotal technology for simplifying the design process of complex digital systems by allowing developers to work at higher levels of abstraction, using high-level programming languages. From the analysis, identified the best optimization technique for the low power and the minimum resource utilization for the SpMV implementation on FPGA hence it can be more useful for applications in the field of CNN. © 2024 IEEE.

关键词： High level synthesis

来源：评论

学校读者我要写书评

暂无评论

Research on Parallel Computation and Memory Optimization of Multi-Core Embedded DSP Technology in High Precision Missile Terminal Guidance image Tracking Algorithm 6

Research on Parallel Computation and Memory Optimization of ...

引用

6th IEEE International conference on Power, Intelligent Computing and systems, ICPICS 2024

作者： Xia, Fuming Jing, Bo Huo, Mingge Jiao, Xiaoxuan Wang, Shenglong Pan, Jinxin School of Aeronautical Engineering Air Force Engineering University Xi'an710038 China Beijing Electro-Mechanical Engineering Institute Beijing100074 China

ISBN: (纸本)9798350374315

This paper mainly discusses how to effectively use multi-core embedded digital signal processor (DSP) technology to realize parallel computation of image tracking algorithm and memory optimization in high precision missile terminal guidance system. With the increasing requirement of missile strike accuracy in modern war, the vision-based terminal guidance technology has been widely concerned because of its strong autonomy and anti-jamming ability. However, such image processing algorithms are usually highly computation-intensive and data dependent, which requires high real-time and hardware resources. In this paper, the key steps of image tracking algorithm are analyzed and reconstructed deeply, and the architecture suitable for parallel processing of multi-core DSP is designed by modularization. The parallel computing advantages of multi-core DSP are given full play through task division and scheduling strategies to improve the execution efficiency and real-time performance of the algorithm. Secondly, the research also focuses on memory optimization, including the design of data cache strategy, reducing data redundancy, improving memory access locality, etc., and strives to maximize the data reading speed and reduce the memory bandwidth pressure under the condition of limited embedded system resources. To sum up, this research is committed to building an efficient and stable multi-core embedded DSP environment, parallel computing model and memory optimization scheme for high-precision missile terminal guidance image tracking algorithm, which has important theoretical value and practical significance for improving the intelligence level and combat efficiency of missile terminal guidance system. © 2024 IEEE.

关键词： Guided missiles

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 << < 31 32 33 34 35 36 37 38 39 40 > >>

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：