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

28,200 篇 会议
11,436 篇 期刊文献
345 册 图书

馆藏范围

39,981 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

24,406 篇 工学
- 19,166 篇 计算机科学与技术...
- 15,937 篇 软件工程
- 5,007 篇 信息与通信工程
- 3,069 篇 控制科学与工程
- 2,571 篇 生物工程
- 2,066 篇 电气工程
- 1,620 篇 机械工程
- 1,595 篇 电子科学与技术（可...
- 1,588 篇 生物医学工程（可授...
- 1,284 篇 光学工程
- 890 篇 安全科学与工程
- 887 篇 仪器科学与技术
- 845 篇 化学工程与技术
- 793 篇 动力工程及工程热...
- 694 篇 建筑学
- 690 篇 交通运输工程
10,942 篇 理学
- 6,377 篇 数学
- 2,818 篇 生物学
- 2,143 篇 物理学
- 1,835 篇 统计学（可授理学、...
- 1,340 篇 系统科学
- 850 篇 化学
7,269 篇 管理学
- 4,385 篇 管理科学与工程(可...
- 3,212 篇 图书情报与档案管...
- 2,013 篇 工商管理
1,392 篇 医学
- 1,218 篇 临床医学
- 1,104 篇 基础医学(可授医学...
- 698 篇 药学(可授医学、理...
1,119 篇 法学
- 882 篇 社会学
697 篇 经济学
- 695 篇 应用经济学
693 篇 教育学
382 篇 农学
149 篇 文学
104 篇 军事学
75 篇 艺术学
15 篇 哲学
5 篇 历史学

主题

1,809 篇 software enginee...
1,650 篇 computer science
871 篇 computational mo...
855 篇 feature extracti...
802 篇 training
701 篇 software
668 篇 semantics
641 篇 deep learning
621 篇 accuracy
564 篇 machine learning
544 篇 data mining
509 篇 application soft...
435 篇 computer archite...
407 篇 predictive model...
384 篇 internet of thin...
374 篇 testing
373 篇 software systems
368 篇 optimization
362 篇 data models
336 篇 support vector m...

机构

1,224 篇 college of compu...
354 篇 school of comput...
301 篇 state key labora...
219 篇 school of comput...
196 篇 department of co...
188 篇 school of comput...
158 篇 school of softwa...
156 篇 college of compu...
149 篇 state key labora...
141 篇 school of inform...
137 篇 school of electr...
134 篇 school of comput...
129 篇 school of comput...
127 篇 national enginee...
124 篇 school of softwa...
122 篇 school of comput...
119 篇 department of co...
115 篇 department of co...
102 篇 school of softwa...
97 篇 school of big da...

作者

68 篇 ruimin hu
60 篇 liu yang
55 篇 baowen xu
53 篇 chen zhong
47 篇 wang ping
47 篇 hu ruimin
45 篇 man ka lok
45 篇 zhang lei
44 篇 stuckey peter j.
42 篇 zhou jie
41 篇 wang lei
39 篇 zhen ji
39 篇 wang hui
36 篇 laizhong cui
35 篇 sun xingming
35 篇 jun zhang
34 篇 qusay h. mahmoud
34 篇 wang xingwei
33 篇 niyato dusit
33 篇 shen linlin

语言

38,433 篇 英文
1,056 篇 其他
501 篇 中文
11 篇 德文
8 篇 朝鲜文
7 篇 日文
7 篇 土耳其文
2 篇 俄文
2 篇 斯洛文尼亚文
1 篇 西班牙文

检索条件"机构=Computer and Software Engineering"

共 39981 条记录，以下是481-490 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：

Research and Application of a Tourism Recommendation System Based on Emotional Analysis 4

Research and Application of a Tourism Recommendation System ...

引用

4th International Conference on Machine Learning and computer Application, ICMLCA 2023

作者： Yang, Wenmiao Wei, Dongmei Huang, Wenjin Huang, Xiaoou School of Computer and Software Engineering Xihua University Chengdu610039 China

ISBN: (纸本)9798400709449

By using convolutional neural network models, it is possible to quickly and accurately recommend potential tourist attractions and routes of interest to users based on their interests and behaviors, thereby significantly improving the user experience. This article is based on a convolutional neural network model and develops a system that can recommend suitable tourist attractions through users uploading videos and capturing facial images for intelligent sentiment analysis. The experimental results show that the accuracy of the model reaches 83.3%, proving that it can accurately recognize user emotions and provide a more suitable travel recommendation scheme. In the post pandemic era, this system has extremely important practical significance in alleviating social anxiety and relieving people's daily depression. © 2023 ACM.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

Research on Applying Dense Convolutional Neural Network in Chinese Character Font Recognition 3

Research on Applying Dense Convolutional Neural Network in C...

引用

3rd IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Zhang, Xiangyang Xihua University School of Computer and Software Engineering Chengdu610039 China

ISBN: (纸本)9798350398410

The emergence of computer and artificial intelligence technology has subverted the traditional work model of pattern recognition and classification. Chinese character font recognition is one of the essential steps in developing and disseminating digitalized traditional calligraphy. In the traditional machine learning environment, dealing with the automatic recognition of a large number of fonts is often challenging. At the same time, font recognition under manual intervention also has substantial limitations. With the development of deep learning, the construction of font recognition algorithms using convolutional neural networks has become a mainstream research direction. This paper proposes a dense convolutional neural network, especially using fonts such as regular script, cursive script, and seal character as training targets to construct a mixed training set. By optimizing the model in three aspects: pooling rules, training strategies, and model pruning, the recognition performance of the model is further improved. It is hoped that the research in this paper will provide some help for the recognition of Chinese characters and the dissemination of digitalized traditional calligraphy. © 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

A Surface Defect Detection Method Based on Attention Mechanism for Workpieces

A Surface Defect Detection Method Based on Attention Mechani...

引用

2023 International Conference on Cognitive Computing and Complex Data, ICCD 2023

作者： Qiu, Junlin Shen, Yongshan Feng, Wanli Zhang, Haodong Sun, Keke Qin, Yuxin Huaiyin Institute of Technology Faculty of Computer and Software Engineering Huai'an China

ISBN: (纸本)9798350306293

With the rapid development of image processing technology in recent years, faced with the issues of low detection accuracy and missed detections in the process of surface defect detection on workpieces, we propose a workpiece surface defect detection method based on attention mechanism. The model uses EfficientDet-d0 as the baseline network, mixes the Fused-MBConv structure and MBConv structure in EfficientNetv2 network as part of the feature extraction network, and uses the convolutional attention module CBAM to focus on the information of space and channel direction at the same time, and the Hardmish activation function is used in the structure. Introducing a fast spatial pyramid pooling module (SPPF) at the top of the feature extraction network increases the network's depth and enhances its expressive power. The extracted features are fed into the Improved-BiFPN (Bidirectional Feature Pyramid Network) for feature enhancement, improving the model's ability to detect defects of different sizes. Experimental results demonstrate that our proposed surface defect detection method for workpieces outperforms other advanced detectors. © 2023 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Role of Machine Learning in Power Analysis Based Side Channel Attacks on FPGA

Role of Machine Learning in Power Analysis Based Side Channe...

引用

2023 International Conference on Robotics and Automation in Industry, ICRAI 2023

作者： Hasnain, Ali Asfia, Yame Khawaja, Sajid Gul College of EME Department of Computer and Software Engineering NUST Islamabad Pakistan

ISBN: (纸本)9781665464727

The cloud-based devices face many threats these days due to shared resources like power. The attacker measures the power by using some remote sensors which are present in attacker tenants. These sensors get partial or full access to a power distribution network (PDN) and work as a backdoor for the attacker. In our research, we explored potential security issues which involved power analysis-based side-channel attacks (SCAs) on Field Programmable Gate Arrays (FPGAs). We have made three major contributions to our research paper. First, we have discussed the power analysis or power profiling of FPGA, which is dependent upon voltage fluctuations' leakage while performing some encryption tasks. The voltage fluctuations of the cryptographic module are measured by some physical source like an oscilloscope or remote source like delay line sensors. Second, we have discussed potential power analysis-based SCAs that used these measurements of voltage fluctuations to extract the secret key. Third, we have designed a framework based on machine learning (ML) and deep learning (DL) models to perform secret key predictions and successful attacks. Firstly, our custom convolutional neural networks (CNN) model has revealed all 16 bytes of the secret key and performed a successful attack with only 570 attack power traces. Secondly, the multi-layer perceptron (MLP) model has successfully attacked only using 3200 traces using the same framework. Overall we have achieved a better performance in terms of the required number of power traces for a successful attack, training time, prediction time, and attack time. © 2023 IEEE.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

FFFN: Fashion Feature Fusion Network by Co-Attention Model for Fashion Recommendation 48

FFFN: Fashion Feature Fusion Network by Co-Attention Model f...

引用

48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Lin, Zhantu Zhang, Xiaoyan Shenzhen University College of Computer Science and Software Engineering Shenzhen China

ISBN: (纸本)9781728163277

Fashion complementary recommendation has always been crucial in the field of recommendation. In previous work, researchers did not pay attention to the connection and combinability between multi-dimensional image features of fashion items. To effectively utilize the advantages of high-level and low-level features in images, we propose a Fashion Feature Fusion Network (FFFN) to solve the fashion complementary recommended tasks, which extracts and combines the features of different dimensions in the neural network into a fusion feature. Then, we input the fused image features and the category text features of fashion items into the co-attention module to realize the guidance of the text attention information to the image attention information. Experimental results on different datasets show that our model has advantages compared to the state-of-the-art methods. © 2023 IEEE.

关键词： Co-attention Fashion complementary recommendation Feature fusion

来源：评论

学校读者我要写书评

暂无评论

A Neocognitron Based on Multi-objective Optimization for Few-Shot Learning 1

引用

6th EAI International Conference on Robotics and Networks, EAI ROSENET 2022

作者： Pan, Hao Guo, Guiyu Shi, Daming College of Computer Science and Software Engineering Shenzhen University Shenzhen China

ISBN: (数字)9783031338267

ISBN: (纸本)9783031338250

In recent years, with the continuous development of deep learning, more and more network models have been proposed to solve practical problems. However, most models often need a large number of labeled samples to train the network to achieve better recognition results. Because a large number of samples need to be labeled, it is labor-intensive and prone to human error labels. For this reason, a large number of researchers have created the concept of few-shot learning, which entails that the model acquires new information from a limited amount of labeled samples in order to get improved recognition outcomes. In this chapter, we learn from the structure of the visual cortex of the human brain and propose new shape templates to improve the traditional neural network. First, we extract the global characteristics of the image to form a 0-1 mask. As the network hierarchy increases and the field of perception expands, the mask is cut to form shape templates. Then evolutionary computation selects some excellent shape templates, which provide a non-linear constraint for the convolution layer. Moreover, the convolution layer introduces inhibition signals for training, and a new function is proposed to make it more in line with the biomimetic principles of the human visual cortex. The results show that the proposed method can improve the accuracy of few-shot learning. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

Entropy-based Selective Homomorphic Encryption for Smart Metering Systems 28

Entropy-based Selective Homomorphic Encryption for Smart Met...

引用

28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023

作者： Xu, Weiyan Zhang, Yinghao Cardell-Oliver, Rachel Mian, Ajmal Hong, Jin B. The University of Western Australia Department of Computer Science and Software Engineering Australia

ISBN: (纸本)9798350358766

Smart metering systems (SMS) are popular in industrial and residential areas but can risk privacy by revealing user behaviors. Homomorphic encryption (HE) is a technique that protects data privacy by enabling calculations on encrypted data. However, the high computational costs of HE can hinder real-time or resource-constrained applications. Our paper presents a framework to encrypt only selected SMS data for improved efficiency without compromising privacy significantly. By encrypting data blocks with higher entropy values, we can mitigate the leakage of key information to adversaries who may conduct privacy attacks, such as membership inference attacks (MIA). We evaluate our framework using two real-world datasets (i.e., electricity and water) to assess privacy and performance trade-offs. The results indicate a 47% performance increase while still providing a sufficient level of privacy when adopting an encryption ratio of 0.4. They demonstrate the effectiveness of the proposed framework, considering the trade-off between privacy and performance, where the user can determine the appropriate security level for privacy protection and enhance the performance using HE in practical SMS settings. © 2023 IEEE.

关键词： Entropy

来源：评论

学校读者我要写书评

暂无评论

Application of Lightweight DSC-NET Network Model in Histopathological Images of Lung Cancer and Colon Cancer

Application of Lightweight DSC-NET Network Model in Histopat...

引用

2023 International Conference on Cognitive Computing and Complex Data, ICCD 2023

作者： An, Wenlong Zong, Hui Zhou, Heng Wang, Jian Huaiyin Institute of Technology Faculty of Computer and Software Engineering Huaian China

ISBN: (纸本)9798350306293

Classification of histopathological images is a fundamental task in the workflow of pathological diagnosis. Due to the complexity of pathological images, it is particularly important to use deep learning to improve diagnostic efficiency. This paper designs a lightweight network model DSC-NET, which consists of multi-scale feature stitching Multi-Conv, coordinate attention CA. The improved selfcalibrated convolution MSC-Conv is composed of selfcalibrated convolution SC-Conv, coordinate attention CA and depthwise DW. In addition, the DSC-NET network model converts the 1×1 convolutional layer (Conv) in the Block module into a linear layer (Linear), which reduces the computational complexity of the model while maintaining the ability of the convolution operation to capture local features. The research in this paper adopts the lung cancer and colon cancer datasets and adds Gaussian noise to these datasets to simulate the equipment shooting situation and evaluate the lightweight DSC-NET network model. Through quantitative comparisons with previous state-of-the-art methods, our experimental results demonstrate that the proposed method achieves superior accuracy. Furthermore, our method stands out with a smaller parameter count and significantly lower FLOPs, highlighting its efficiency and computational advantages. It has important potential to assist pathologists in pathological diagnosis. © 2023 IEEE.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Knowledge Distillation with Active Exploration and Self-Attention Based Inter-Class Variation Transfer for Image Segmentation 48

Knowledge Distillation with Active Exploration and Self-Atte...

引用

48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Zhang, Yifan Li, Shaojie Yang, Xuan Shenzhen University College of Computer Science and Software Engineering Shenzhen China

ISBN: (纸本)9781728163277

Knowledge distillation (KD) aims to distill the knowledge from a more extensive deep neural network into a small net-work without losing validity. This paper proposes a novel approach with active exploration and passive transfer (AEPT) and self-attention-based inter-class feature variation (AIFV) distillation for the cardiac image segmentation task. The AEPT encourages the student model to learn undiscovered knowledge/features of the teacher model, aiming to explore new features outperforming the teacher. More specifically, we focus on where the teacher performs poorly and encourage the student model to explore complementary features different from the teacher model. To improve the distinguishability of the student for different classes, the student learns the self-attention-based feature variation (AIFV) between classes. Extensive experiments on medical and public image datasets demonstrate that our approach makes the student model learn better representations and outperforms state-of-art methods by combining two knowledge distillation strategies. © 2023 IEEE.

关键词： Distillation

来源：评论

学校读者我要写书评

暂无评论

Real-time Pedestrian Detection Using Resource Constrained Embedded Platforms - A Review 9

Real-time Pedestrian Detection Using Resource Constrained Em...

引用

9th IEEE Smart World Congress, SWC 2023

作者： Cocks, Grace Magbag, Teresito Hemmati, Maryam Wang, Kevin I-Kai The University of Auckland Electrical Computer and Software Engineering Auckland New Zealand

ISBN: (纸本)9798350319804

Autonomous Vehicles (AV) are currently limited to the sensors fitted on the vehicle itself to detect pedestrians instead of working collaboratively with the road side units (RSUs). If Resource Constrained Embedded Platforms (RCEPs) were capable of achieving real-time pedestrian detection, they could be deployed at busy traffic intersections to assist AVs. Currently, high-end GPU platforms are required to achieve real-time performance, but their size and cost mean they are not viable for deployment at busy traffic intersections. Therefore, this study performs a comparative analysis as to the ability of RCEPs to achieve real-time pedestrian detection using Convolutional Neural Network (CNN) architectures. Several CNN architectures were trained on a custom pedestrian dataset, with Tiny Yolov4 achieving 62% mean average precision (mAP). When deployed, this analysis indicates that some RCEPs are capable of achieving real-time pedestrian detection, benchmarked at 30FPS, with Tiny YOLOv4 achieving 40.48FPS on the NVIDIA Jetson Nano. The Raspberry Pi 4 paired with the Google Edge TPU also exceeded the real-time threshold, achieving 51.22FPS using MobileNetV2-SSD. Both models were quantized at FP16 and UINT8, which inherently have lower accuracy in favour of faster inferencing. Our analysis evaluates the real-time performance of the selected embedded devices when hosting lightweight CNNs, as well as offering numerous future research directions to improve the pedestrian detection. © 2023 IEEE.

关键词： lightweight (CNN) real-time pedestrian detection resource constrained embedded platform

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 << < 45 46 47 48 49 50 51 52 53 54 > >>

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：