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

18,635 篇 会议
217 册 图书
194 篇 期刊文献

馆藏范围

19,043 篇 电子文献
3 种 纸本馆藏

日期分布

学科分类号

13,667 篇 工学
- 9,957 篇 计算机科学与技术...
- 6,782 篇 软件工程
- 3,800 篇 控制科学与工程
- 2,630 篇 信息与通信工程
- 2,341 篇 电气工程
- 1,750 篇 光学工程
- 1,533 篇 机械工程
- 1,118 篇 生物工程
- 922 篇 电子科学与技术（可...
- 869 篇 生物医学工程（可授...
- 789 篇 仪器科学与技术
- 584 篇 动力工程及工程热...
- 546 篇 交通运输工程
- 516 篇 安全科学与工程
- 502 篇 材料科学与工程（可...
- 455 篇 化学工程与技术
- 351 篇 土木工程
- 345 篇 网络空间安全
5,521 篇 理学
- 2,503 篇 物理学
- 2,430 篇 数学
- 1,231 篇 生物学
- 602 篇 统计学（可授理学、...
- 589 篇 系统科学
- 579 篇 化学
2,468 篇 管理学
- 1,760 篇 管理科学与工程(可...
- 834 篇 图书情报与档案管...
- 689 篇 工商管理
1,257 篇 医学
- 1,101 篇 临床医学
- 563 篇 基础医学(可授医学...
- 362 篇 药学(可授医学、理...
389 篇 法学
259 篇 经济学
255 篇 农学
219 篇 教育学
64 篇 军事学
45 篇 文学
25 篇 艺术学
3 篇 哲学

主题

1,614 篇 computer vision
409 篇 deep learning
314 篇 computer archite...
282 篇 cameras
263 篇 object detection
251 篇 computational mo...
236 篇 computer science
231 篇 control systems
222 篇 image segmentati...
218 篇 feature extracti...
211 篇 internet of thin...
187 篇 access control
175 篇 machine vision
161 篇 neural networks
143 篇 artificial intel...
133 篇 face recognition
131 篇 support vector m...
128 篇 real-time system...
127 篇 process control
123 篇 data mining

机构

55 篇 chitkara univers...
46 篇 school of comput...
42 篇 school of contro...
29 篇 maharishi school...
24 篇 karnataka bangal...
21 篇 school of comput...
19 篇 maharishi school...
17 篇 chitkara univers...
17 篇 college of compu...
16 篇 university of ch...
15 篇 school of comput...
14 篇 south china univ...
14 篇 dept. of compute...
14 篇 department of co...
14 篇 chitkara univers...
14 篇 college of compu...
13 篇 school of comput...
12 篇 school of comput...
12 篇 centre of interd...
12 篇 school of comput...

作者

21 篇 wang lei
18 篇 li yang
17 篇 wang wei
16 篇 wang jian
16 篇 yang yang
14 篇 liu yang
13 篇 zhang tao
13 篇 wang hui
13 篇 ryszard tadeusie...
13 篇 marcin korytkows...
12 篇 wang ping
12 篇 sato jun
12 篇 jacek m. zurada
11 篇 sakaue fumihiko
11 篇 zhang lei
11 篇 huang tinglei
11 篇 liu lei
10 篇 lei wang
10 篇 li xin
10 篇 wang jing

语言

16,469 篇 英文
2,470 篇 其他
152 篇 中文
16 篇 俄文
7 篇 西班牙文
2 篇 法文
2 篇 土耳其文

检索条件"任意字段=Proceedings of the 3rd International Conference on Control and Computer Vision"

共 19046 条记录，以下是911-920 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：

Aircraft Target Detection Based on Attention Mechanism and Faster R-CNN 3

Aircraft Target Detection Based on Attention Mechanism and F...

引用

3rd international conference on computer vision, Image and Deep Learning and international conference on computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Lai, Yunqian Dong, Xinyue Tang, Yuan Chengdu University of Technology College of Computer and Network Security Chengdu China

ISBN: (纸本)9781665459112

Aircraft, as a special strategic target, has high value in both civil and military use, and it is especially important to achieve intelligent scientific aircraft target detection compared to traditional methods. Therefore, an aircraft detection method based on attention mechanism and Faster R-CNN target detection algorithm is proposed in this paper. The RSOD dataset is selected, and the VOC format dataset is used for pre-processing and data enhancement. The Faster R-CNN model is constructed, which uses ResNet50 as the backbone network for feature extraction and also adds the attention mechanism in the backbone network;the region proposal is obtained after convolving the feature extraction results using the RPN(Region Proposal Network);the prediction results are finally obtained by pooling using ROI Pooling. The experimental results show that the model can have good recognition effect and provide help for the intelligent recognition of aircraft. © 2022 IEEE.

关键词： Image recognition

来源：评论

学校读者我要写书评

暂无评论

Effective Garbage Monitoring System Using GSM Module 3

Effective Garbage Monitoring System Using GSM Module

引用

3rd IEEE international conference on Intelligent Techniques in control, Optimization and Signal Processing, INCOS 2024

作者： Kumar, P Sathish Sree, V Bindhu Ramanjaneyulu, N. Nagurvali, Shaik Rohith, V. Teja, R. Sai Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu Virudhnagar India

ISBN: (纸本)9798350361186

Inefficient garbage collection not only leads to overflowing bins and unpleasant but also poses significant environmental and health risks. This paper proposes an effective garbage monitoring system utilizing a GSM module for real-time fill-level detection and automated alerts. The system employs ultrasonic sensors to measure garbage level within the bin, triggering an alert (SMS or data transmission) to designated authorities via the GSM module when a predefined threshold is reached. This enables optimized collection schedules, reducing unnecessary trips, fuel consumption, and associated emissions. Additionally, the system can be integrated with GPS for location tracking, facilitating targeted waste management in geographically dispersed areas. The proposed system offers a cost-effective and scalable solution for enhancing waste management efficiency, promoting environmental sustainability, and improving public health. © 2024 IEEE.

关键词： Global system for mobile communications

来源：评论

学校读者我要写书评

暂无评论

Social Distance and Face Mask Detection using vision-based sensors and IP cameras 3

Social Distance and Face Mask Detection using vision-based s...

引用

3rd international conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Vineela, A. Devi, G. Lavanya Deekshit, G. Vinay GMR Institute of Technology Department of Computer Science and Engineering Rajam India Department of Computer Science and System Engineering Vishakhapatnam India

ISBN: (纸本)9781665494007

Healthcare systems all over the world are strained as the COVID-19 pandemic's spread becomes more widespread. The only realistic strategy to avoid asymptomatic transmission is to monitor social distance, as there are no viable medical therapies or vaccinations for it. A unique computer vision-based framework that uses deep learning is to analyze the images that are needed to measure social distance. This technique uses the key point regressor to identify the important feature points utilizing the Visual Geometry Group (VGG19) which is a standard Convolutional Neural Network (CNN) architecture having multiple layers, MobileNetV2 which is a computer vision network that advances the-state-of-art for mobile visual identification, including semantic segmentation, classification and object identification. VGG19 and MobileNetV2 were trained on the Kaggle dataset. The border boxes for the item may be seen as well as the crowd is sizeable, and red identified faces are then analyzed by MobileNetV2 to detect whether the person is wearing a mask or not. The distance between the observed people has been calculated using the Euclidian distance. Pretrained models like (You only look once) YOLOV3 which is a real-time object detection system, RCNN, and Resnet50 are used in our embedded vision system environment to identify social distance on images. The framework YOLOV3 performs an overall accuracy of 95% using transfer learning technique runs in 22ms which is four times fast than other predefined models. In the proposed model we achieved an accuracy of 96.67% using VGG19 and 98.38% using MobileNetV2, this beats all other models in its ability to estimate social distance and face mask. © 2023 IEEE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

A-Eye: computer vision and Deep learning based Smart-Glasses with Edge computing for Visually Impaired 3

A-Eye: Computer vision and Deep learning based Smart-Glasses...

引用

3rd international conference on Artificial Intelligence and Signal Processing, AISP 2023

作者： Rajaraman, Sanjay Shivapriya, P.S. Easwari Engineering College Department of Information Technology Tamil Nadu Chennai India

ISBN: (纸本)9798350320749

India, where a third of the world's blind people reside, has about 12 million blind people, especially in comparison to a total of 39 million worldwide, according to the National Programme for control of Blindness (NPCB). Visually challenged people, including children and elderly people with low vision, still have trouble performing everyday tasks, even in this world of rapidly developing technologies. The existing solutions provide a straight forward solution using Artificial Intelligence technologies. To take this technological solution to the next level we propose a solution with all the AI features seamlessly integrated together and a dedicated mobile application gives full control and independency to their life. The A-Eye (smart glasses) system that is being proposed consists of a wearable smart glass solution, a mobile application, and a cloud-based data management platform. This project shows how Mobile Edge Computing (MEC) can be used to process data on the mobile phone other than to process the camera's video stream in the cloud or locally at the system level. The project's use of Mobile Edge Computing (MEC) expands the scope of its ability to add and update an endless number of features without being constrained by hardware. Therefore, the suggested smart glass system can minimize latency and be highly scalable while using heavy and effective models to effectively mitigate the problem and assist visually challenged individuals. © 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

Home Automation Using Wi-Fi: ESP32-Based System for Remote control and Environmental Monitoring 3

Home Automation Using Wi-Fi: ESP32-Based System for Remote C...

引用

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

作者： Abdul Lateef Haroon, P.S. Shafiulla, Mohammed Naveed, Shaik Mohammed Ahmed, Suhail Nawaz, Shaik Mohammed Kumar, Utkarsh Ballari Institute Of Technology & Management Department Of Electronics And Communication Engineering Ballari India Ballari Institute Of Technology And Management Department Of Computer Science And Engineering Ballari India Ballari Institute Of Technology & Management Department Of Computer Science And Engineering Ballari India Ballari Institute Of Technology & Management Department Of Artificial Intelligence And Machine Learning Ballari India

ISBN: (纸本)9798350318609

This project introduces a comprehensive home automation system leveraging Wi-Fi connectivity and ESP32 micro controllers, aimed at enhancing modern living through seamless automation and user-centric design. The background emphasizes the fusion of IoT technology with home automation, highlighting Wi-Fi's significance in enabling remote monitoring and control of household devices. Methodologically, the project integrates relay modules and DHT11 sensors, orchestrated through a user-friendly smartphone application. Results demonstrate successful implementation and testing, showcasing functionality, reliability, and user-friendliness. Real-time environmental monitoring and remote appliance control fulfill the objectives of enhancing home comfort, convenience, and energy efficiency. The conclusion underscores the project's contribution to advancing smart home technologies, offering users a scalable and customizable solution. Future research opportunities include enhancing system capabilities and addressing security and privacy concerns. © 2024 IEEE.

关键词： Microcontrollers

来源：评论

学校读者我要写书评

暂无评论

Head-mounted Display System Based on Metaverse VR Technology 3

Head-mounted Display System Based on Metaverse VR Technology

引用

3rd international conference on computer Graphics, Image, and Virtualization, ICCGIV 2023

作者： Sun, Qingwen School of Computer Dalian Neusoft University of Information Dalian China

ISBN: (纸本)9781510671720

As the main carrier of Metaverse VR technology, the head-mounted display system plays a vital role in leading this technological trend. This paper implements a head-mounted display system based on Metaverse VR technology. It mainly applies the high-resolution LCD screen, microcontroller, and embedded programming technology. The system that collects data from gyroscopes and directional sensors in the head-mounted display terminal to realize the angle of view and scene switching on a developed Android system. Through the handheld terminal based on STM32 microcontroller, the system realizes human-system interaction. It isolates people's vision and hearing from the outside world and guides the user to a sense of being in a virtual environment. Then, the image generated by the small display in the helmet is magnified by the Fresnel lens, and a three-dimensional sense is generated in the mind by obtaining this differential information from the human eyes through the different images of the left and right eyes. © 2023 SPIE.

关键词： Virtual reality

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

3rd International Conference on Trends in Electronics and He...

引用

3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

ISBN: (纸本)9789819739363

The proceedings contain 52 papers. The special focus in this conference is on Trends in Electronics and Health Informatics. The topics include: An Effective Combination of Deep and Machine Learning Models for Monkeypox Detection from Dermatographic Image;a Time-Efficient and Effective Image Contrast Enhancement Technique Using Fuzzification and Defuzzification;An Ensemble Machine Learning-Based Approach for Detecting Malicious Websites Using URL Features;The Multi-class Paradigm: How Transformers Are Reshaping Language Analysis in NLP;deep Learning Precision Farming: Identification of Bangladeshi-Grown Fruits Using Transfer Learning-Based Detection;Deep Learning Solutions for Detecting Bangla Fake News: A CNN-Based Approach;a Two-Stage Stacking Ensemble Learning for Employee Attrition Prediction;ensemble Learning Approaches for Alzheimer’s Disease Classification in Brain Imaging Data;pseudo-Knighted Cocktail Shaker Sort;sentiment Analysis in Twitter Data Using Machine Learning-Based Approach;road Object Detection for Visually Impaired People in Bangladesh;newBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen Kernel;deep Ensemble Learning Approach for Multimodal Emotion Recognition;Tri Focus Net: A CNN-Based Model with Integrated Attention Modules for Pest and Insect Detection in Agriculture;detection and Classification of Spam Email: A Machine Learning-Based Experimental Analysis;predictive Modeling and Early Detection of White Spot Disease in Shrimp Farming Using Machine Learning: A Case Study in Bangladesh;bangla License Plate Detection and Recognition Approach Based on computer vision for Authentic Vehicle Identification;feature Techniques with a Custom Convolutional Model for Breast Tumor Surveillance in Mammograms;An AI-Based Clinical Recommendation System Using Ensemble-Based Soft Voting Classifier;machine Learning-Based Approach to Predict Heart Diseases Using Fused Dataset;an Optimal Feature Selection-Based Approach to P

关键词：

来源：评论

学校读者我要写书评

暂无评论

Unleashing Vanilla vision Transformer with Masked Image Modeling for Object Detection

Unleashing Vanilla Vision Transformer with Masked Image Mode...

引用

IEEE/CVF international conference on computer vision (ICCV)

作者： Fang, Yuxin Yang, Shusheng Wang, Shijie Ge, Yixiao Shan, Ying Wang, Xinggang Huazhong Univ Sci & Technol Sch EIC Wuhan Hubei Peoples R China Tencent AI Lab Shenzhen Peoples R China Tencent PCG ARC Lab Shenzhen Peoples R China

ISBN: (纸本)9798350307184

We present an approach to efficiently and effectively adapt a masked image modeling (MIM) pre-trained vanilla vision Transformer (ViT) for object detection, which is based on our two novel observations: (i) A MIM pre-trained vanilla ViT encoder can work surprisingly well in the challenging object-level recognition scenario even with randomly sampled partial observations, e.g., only 25% similar to 50% of the input embeddings. (ii) In order to construct multi-scale representations for object detection from single-scale ViT, a randomly initialized compact convolutional stem supplants the pre-trained patchify stem, and its intermediate features can naturally serve as the higher resolution inputs of a feature pyramid network without further upsampling or other manipulations. While the pre-trained ViT is only regarded as the 3rd-stage of our detector's backbone instead of the whole feature extractor. This naturally results in a ConvNet-ViT hybrid architecture. The proposed detector, named MIMDET, enables a MIM pre-trained vanilla ViT to outperform leading hierarchical architectures such as Swin Transformer, MViTv2 and ConvNeXt on COCO object detection & instance segmentation, and achieves better results compared with the previous best adapted vanilla ViT detector using a more modest fine-tuning recipe while converging 2.8x faster. Code and pre-trained models are available at https://***/hustvl/MIMDet.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Which performs better, linear scanning or the KNN searching algorithm based on 2D grids? 3

Which performs better, linear scanning or the KNN searching ...

引用

3rd international conference on Robotics, Automation and Intelligent control, ICRAIC 2023

作者： Ji, Tong Lin, Yifeng Yang, Yuer Liu, Hui Jinan University College of Information Science and Technology Guangzhou China Jinan University College of Cyber Security Guangzhou China The University of Hong Kong Department of Computer Science Hong Kong Hong Kong University of Chinese Academy of Sciences School of Computer Science and Technology Beijing China

ISBN: (纸本)9798350360813

The K-nearest neighbor (KNN) algorithm is widely used in navigation, such as traffic management, driverless vehicles, and logistics planning. While it offers powerful instance-based learning, its performance can be influenced by data distribution and distance metric choice, and scalability can be an issue with large datasets. In this paper, we compare KNN with linear scanning in 2D grid-based search algorithms. KNN excels in accuracy, multidimensional feature processing, flexibility, and stepwise optimization, making it a strong choice for efficient and accurate 2D grid data search. Especially when the dimension of the grid is 200 ∗ 200 and the grade is 1, the performance of KNN is 99.70% better than linear scanning. However, we acknowledge that KNN's performance hinges on distance metric selection, and different metrics may perform differently in various applications. KNN is also sensitive to noise and outliers, which highlights the need for future enhancements and optimizations. © 2023 IEEE.

关键词： Large datasets

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Decision-Making on Strategies for Maximizing the Utility of Electric Vehicles 3

Fuzzy Decision-Making on Strategies for Maximizing the Utili...

引用

3rd IEEE international conference on Power Electronics, Intelligent control and Energy Systems, ICPEICES 2024

作者： Imran, Shaik Moinuddin Rameshan, N. Anand, M. Clement Joe Martin, Nivetha Tiwari, Mohit Mohan, Varun Sri Venkateswara Institute of Technology Electronics & Communication Engineering Andhra Pradesh Anantapur515001 India Srm Institute of Science and Technology Faculty of Engineering & Technology Department of Mathematics Vadapalani Campus Chennai600026 India Department of Mathematics Karnataka Bengaluru560052 India Department of Mathematics Tamil Nadu Karumathur625514 India Bharat Vidyapeeth's College of Engineering Department of Computer Science and Engineering Delhi110063 India Sharda University Department of Mathematics Greater Noida201310 India

ISBN: (纸本)9798350387193

Environmental sustainability is one of the sustainable development goals and the invention of electric vehicles marks the beginning of alternatives to fuel-based vehicles. Electric vehicles have penetrated the global market to reduce carbon emissions and create a carbon-neutral community. Though these vehicles are environmentally friendly a large population of people in developing nations are still hesitant to purchase these vehicles as they are expensive. This research work proposes strategies for maximizing the utility of E-vehicles based on the obstructing factors using the multi-criteria decision-making method of the Fuzzy Base criterion method (FBCM). The strategies proposed in this paper are ranked based on the score values obtained using representations by trapezoidal fuzzy numbers. The consistency of the results is compared with other decision-making methods and the results obtained using FBCM were found to be more optimal. In this work, the special focus is made concerning developing nations. This paper also presents the extensive role of multi-criteria decision-making methods in designing optimal solutions to the problems of different dimensions associated with electric vehicles. © 2024 IEEE.

关键词： Sustainable development goals

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 << < 88 89 90 91 92 93 94 95 96 97 > >>

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：