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

71,429 篇 会议
40,544 篇 期刊文献
816 册 图书

馆藏范围

112,789 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

69,443 篇 工学
- 46,498 篇 计算机科学与技术...
- 38,028 篇 软件工程
- 17,281 篇 信息与通信工程
- 11,475 篇 控制科学与工程
- 8,938 篇 电气工程
- 8,511 篇 电子科学与技术（可...
- 8,011 篇 生物工程
- 5,820 篇 光学工程
- 5,660 篇 生物医学工程（可授...
- 5,528 篇 机械工程
- 3,965 篇 化学工程与技术
- 3,879 篇 仪器科学与技术
- 3,626 篇 动力工程及工程热...
- 2,895 篇 网络空间安全
- 2,752 篇 交通运输工程
- 2,711 篇 材料科学与工程（可...
- 2,641 篇 安全科学与工程
38,375 篇 理学
- 19,262 篇 数学
- 11,942 篇 物理学
- 9,004 篇 生物学
- 6,442 篇 统计学（可授理学、...
- 4,261 篇 化学
- 4,060 篇 系统科学
18,600 篇 管理学
- 11,823 篇 管理科学与工程(可...
- 7,564 篇 图书情报与档案管...
- 4,837 篇 工商管理
5,516 篇 医学
- 4,491 篇 临床医学
- 4,033 篇 基础医学(可授医学...
- 2,426 篇 药学(可授医学、理...
3,016 篇 法学
- 2,455 篇 社会学
1,903 篇 经济学
1,493 篇 农学
1,065 篇 教育学
479 篇 文学
261 篇 军事学
217 篇 艺术学
7 篇 哲学
7 篇 历史学

主题

3,292 篇 accuracy
3,094 篇 feature extracti...
2,931 篇 deep learning
2,653 篇 training
2,508 篇 computational mo...
2,144 篇 computer science
2,098 篇 machine learning
1,718 篇 optimization
1,605 篇 predictive model...
1,454 篇 convolutional ne...
1,450 篇 real-time system...
1,412 篇 internet of thin...
1,405 篇 semantics
1,348 篇 support vector m...
1,344 篇 data models
1,196 篇 neural networks
1,189 篇 data mining
1,070 篇 image segmentati...
1,070 篇 artificial intel...
984 篇 security

机构

2,489 篇 school of comput...
1,551 篇 school of comput...
1,380 篇 school of comput...
1,084 篇 cavendish labora...
1,016 篇 department of ph...
1,007 篇 school of comput...
945 篇 physikalisches i...
933 篇 oliver lodge lab...
840 篇 university of ch...
692 篇 school of comput...
612 篇 chitkara univers...
582 篇 school of comput...
546 篇 fakultät physik ...
530 篇 horia hulubei na...
528 篇 school of physic...
526 篇 school of comput...
524 篇 school of physic...
521 篇 department of ph...
512 篇 h.h. wills physi...
512 篇 imperial college...

作者

273 篇 niyato dusit
270 篇 barter w.
264 篇 a. gomes
248 篇 c. alexa
246 篇 j. m. izen
243 篇 g. bella
243 篇 j. strandberg
241 篇 d. calvet
241 篇 c. amelung
237 篇 beiter a.
237 篇 blake t.
230 篇 bellee v.
229 篇 s. chen
227 篇 bowcock t.j.v.
226 篇 betancourt c.
225 篇 amato s.
224 篇 brundu d.
223 篇 boettcher t.
222 篇 borsato m.
217 篇 g. spigo

语言

90,354 篇 英文
20,667 篇 其他
1,925 篇 中文
130 篇 日文
23 篇 德文
21 篇 法文
14 篇 斯洛文尼亚文
10 篇 朝鲜文
4 篇 阿拉伯文
1 篇 西班牙文
1 篇 荷兰文
1 篇 俄文

检索条件"机构=Computer Science and Engineering Amity School of Engineering and Technology"

共 112789 条记录，以下是4931-4940 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 Knowledge Graph-based Clustering Approach for Drug Side Effects Prediction

A Knowledge Graph-based Clustering Approach for Drug Side Ef...

引用

2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Zheng, Ying Xu, ShiBo Changsha University of Science & Technology School of Computer & Communication Engineering Changsha China

ISBN: (纸本)9798350337488

Research on drug side effects contributes to reducing health risks for patients and decreasing drug development costs. In recent years, machine learning methods have emerged as prominent tools to support analyzing and predicting drug side effects. In this paper, we propose a clustering model based on knowledge graph embedding (GEBC) to predict potential side effects. GEBC integrates various drug features into a heterogeneous network, then mines the underlying relationship of nodes in network using Node2vec algorithm. Finally, GEBC clusters the node embeddings by Gaussian Mixture Model, and builds a Bayesian probability prediction model. GEBC achieves 0.4343, 0.442, 0.411 AUPR score on three benchmark datasets, respectively. © 2023 IEEE.

关键词： clustering knowledge graph embedding side effect

来源：评论

学校读者我要写书评

暂无评论

New Machine Learning Model to Movie Recommender and Sentiment Analysis

New Machine Learning Model to Movie Recommender and Sentimen...

引用

2023 International Conference on Advances in Computation, Communication and Information technology, ICAICCIT 2023

作者： Marappan, Raja Saraswatikaniga, R. Vellore Institute of Technology School of Computer Science and Engineering Chennai600127 India

ISBN: (纸本)9798350344387

Recently, technology has put the limelight on every industry, which ends in an overload of massive data that might be resolved using efficient recommender systems. The recommendation system is handy to accommodate large amounts of knowledge and separate helpful information. One in each of its applications falls in movie recommendations. Currently, numerous movies are developing, which makes it difficult for movie addicts to settle on one in all of them. The movie recommendation system intends to assist movie enthusiasts in cutting back on human effort by suggesting movies efficiently and effectively without wasting much time in useless browsing. Recommending products that support user interest is one of the principal business tasks achieved using machine learning (ML). This research develops a new supervised ML model to recommend movies with the naïve Bayes' (NB) and support vector machine (SVM) classifier that combines cosine similarity (CS) and sentiment analysis (SA). The CS may be a standard accustomed measure of finding similarity between two items, and the SA of a movie review can classify the type of a review. The proposed model applies the training strategy and the reviews classifications are done accordingly and the predictions are made. This research model performance is tested with benchmark instances, 97% accuracy is obtained by applying SA with the NB approach, and 98% accuracy is obtained using an SVM. The simulation results conclude that the proposed model produced more significant outcomes than the existing approaches in deploying the proposed recommender engine as a website that takes input from users and recommends similar movies with related images in minimal computing time. © 2023 IEEE.

来源：评论

学校读者我要写书评

暂无评论

SVM-ERFE: An Enhanced Method for Identification of Metastatic and Relapsing Nature of Breast Cancer 4

SVM-ERFE: An Enhanced Method for Identification of Metastati...

引用

4th International Conference on Technological Advancements in Computational sciences, ICTACS 2024

作者： Kumar, Abhijit Kumar, Sumit Riou, Kevin Choudhury, Amitaya Singh, Gurinder Tripathi, Sudhanshu School of Computer Science University of Petroleum and Energy Studies Dehradun India Thapar Institute of Engineering and Technology Patiala Punjab India Polytech Nantes University of Nantes France Pundit Deendayal Energy University Gujrat Ahmadabad India Amity University Uttar Pradesh India Amity University Department of It and Engineering Tashkent Uzbekistan

ISBN: (纸本)9798350387490

Classifying breast cancer into metastatic non-metastatic is crucial for a women that undergoing for surgery, because of the heavy treatment associated with metastatic cancers. With the advancement of micro array technology, identifying gene signatures from large genes dataset becomes an efficient approach to predict or classify cancerous genes. We proposed an algorithm based on support vector machine using enhanced recursive feature extraction mechanism (SVM-ERFE). The proposed algorithm identifies most significant genes signatures and thus prognosis of metastatic/relapsing nature among breast cancer patients. In order to enhance the accuracy, we kept allow to varying the number of genes after first filtering. Several experiments has performed over metastatic-295 breast cancer patient's datasets and relaps-GSE2034 dataset, and achieved the best accuracy 100%±0.0 for 158 and 307 gene signatures after first filtering respectively. Further, the model has validated using 10-fold cross validation using evaluation metrics accuracy, TPR, TNR. Moreover, proposed model can increase the dortor's confidence into the results. © 2024 IEEE.

关键词： Lung cancer

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of Various Methods for Attendance Framework Based on Real-Time Face Recognition technology

A Comparative Analysis of Various Methods for Attendance Fra...

引用

International Conference on Data Analytics and Management, ICDAM 2022

作者： Jothi, A.M. Satapathy, Sandeep Kumar Mishra, Shruti School of Computer Science and Engineering Vellore Institute of Technology University Chennai India

ISBN: (纸本)9789811976148

Face recognition technology plays a major role in identification of a person and a subset of machine vision. Managing the attendance manually becomes a time-consuming and challenging operation in our day-to-day life. Real-time face recognition can be used to build the automatic attendance system which can be utilized by the schools, offices, and colleges to mark the attendance without any human intervention. This paper provides a literature survey of papers associated with face recognition-based attendance technology. In this study, the major contribution of our work lies in the comparative learning between machine learning and deep learning approaches implemented to recognize the human faces and give the attendance of candidates or employees based upon it, and it also includes the in-depth analysis of different face recognition techniques, related discussions, and hints for future work. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Pretrained Encoder-Decoder Transformer Models for Extreme Text Summarization 2

Comparative Analysis of Pretrained Encoder-Decoder Transform...

引用

2nd International Conference on Advances in Computational Intelligence and Communication, ICACIC 2023

作者： Rajyalakshmi, Tamma Kuppusamy, K.S. Pondicherry University School of Engineering and Technology Department of Computer Science Puducherry India

ISBN: (纸本)9798350318456

Text summarization plays a pivotal role in condensing crucial information from huge volumes of text. This study investigates the utilization of pre-trained transformer models within the domain of text summarization, with a specific emphasis on extreme summarization. It delves into the effectiveness of two prominent models, text-to-text transfer transformers and bidirectional and auto-regressive transformers, when applied to the task of summarization, providing a comparative analysis of their capabilities. The experiments conducted in this study involve the utilization of the XSum and SciTLDR datasets. While fine-tuning T5 and BART on summarization tasks is a standard approach, we delve into the performance of these models without fine-tuning. Additionally, we explore the potential of other pretrained models, such as PREGASUS and distilBART, in generating concise and coherent summaries. This study contributes to the understanding of how pre-trained transformer models can be harnessed effectively for text summarization, especially in extreme summarization scenarios. The findings shed light on the performance, challenges, and potential of these models, opening avenues for further research in the field of automatic text summarization. © 2023 IEEE.

关键词： Text processing

来源：评论

学校读者我要写书评

暂无评论

FPS-Net: A vessel segmentation method that flattens and projects OCTA volume data 8

FPS-Net: A vessel segmentation method that flattens and proj...

引用

8th International Conference on Intelligent Informatics and Biomedical sciences, ICIIBMS 2023

作者： Cao, Guogang Peng, Zeyu Wu, Yan Zhang, Yunqing Yan, Rugang Zhou, Zhilin Shanghai Institute of Technology School of Computer Science and Information Engineering Shanghai China

ISBN: (纸本)9798350369564

Optical Coherence Tomography Angiograph (OCTA) is an innovative imaging technique that non-invasively visualizes retinal vasculature (RV) and the foveal avascular zone (FAZ) of retina. Accurate segmentation of these retinal tissues holds crucial significance in the diagnosis and prevention of ophthalmic diseases. Changes in the morphology of retinal blood vessels may indicate certain physical diseases. For example, diabetes retinopathy will lead to the growth of new blood vessels. The existing segmentation methods using 2D projection as input may lead to inaccurate segmentation results due to incorrect layer segmentation in the projection image. To address these, we propose a novel approach that utilizes OCTA volume data as input. Specifically, we designed a Flattened Projection Module (FPM) to flatten the OCTA volumetric data into a two-dimensional plane, which is used for the two-dimensional segmentation pathway. Then, we employed a U-shaped architecture for feature learning and designed a Stacked Projection Module (SPM) to stack the segmented results obtained from the flattened projection, which leads to the final segmentation results. Experimental results on the OCTA-500 dataset, demonstrate that our method achieves an mIOU (mean Intersection over Union) metric of 78.29%, outperforming benchmark methods like U-Net. Moreover, our approach outperforms other similar methods that use three-dimensional data as input in terms of segmentation results for arteries, veins, and FAZ. © 2023 IEEE.

关键词： Optical tomography

来源：评论

学校读者我要写书评

暂无评论

Touch Pointer Movement-Based PIN Entry in Smartphones to Assist Persons with Visual Impairments 3rd

Touch Pointer Movement-Based PIN Entry in Smartphones to A...

引用

3rd International Conference on "Emerging Trends and Technologies on Intelligent Systems" (ETTIS-2023)

作者： Balayogi, G. Kuppusamy, K.S. Department of Computer Science School of Engineering and Technology Pondicherry University Puducherry India

ISBN: (纸本)9789819939626

Usable security is an area of active research. Several factors needs to be considered while making the security usable. As the digital platforms have evolved into the primary source of information and service consumption, it is essential to make digital space secure and usable for all categories of users which certainly includes persons with visual impairments. Several attacks have been targeted toward people with visual impairments, as they are dependent on the Internet for their day-to-day activities. With the significant number of users with disabilities, there are various attempts to make the digital ecosystem safer for persons with disabilities. This paper discusses the key challenges encountered while designing a usable security systems for persons with visual impairments. This work proposes a shoulder surfing resistant Personal Identification Number (PIN) entry mechanism for visually impaired individuals utilizing smartphone’s touch feature. The proposed model maps the finger movements into a predefined digit. As the movements look random for an outsider, shoulder surfing becomes significantly complex. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Smartphones

来源：评论

学校读者我要写书评

暂无评论

>Student Expression Recognition Algorithm Based on TransConv 2

>Student Expression Recognition Algorithm Based on TransConv

引用

2nd International Conference on Machine Learning, Control, and Robotics, MLCR 2023

作者： Hu, Siquan Zhang, Xiaoxia Shi, Zhiguo University of Science and Technology Beijing School of Computer and Communication Engineering Beijing China

ISBN: (纸本)9798350381245

Human facial expression is one of the expressions of inner emotion, which is an important means of emotional communication between people. With the development of artificial intelligence, human facial expression recognition has been widely studied as an important topic in the field of computer vision, especially in the context of teaching scenarios with important applications. Therefore, adopting more novel facial expression feature extraction methods and improving models with higher accuracy of expression recognition are crucial for the task of human facial expression recognition. In this paper, we carry out the research on student expression recognition algorithms in the context of teaching scenarios, in order to improve the accuracy of facial expression recognition, the experiments are based on the JAFFE dataset and the CK+ dataset to construct a caricatured expression dataset consisting solely of locally populated key points of facial expressions, and improve the expression recognition method based on the traditional convolutional neural network, and put forward an expression recognition method based on the TransConv algorithm. The expression recognition method is trained and compared under the same dataset. The experimental results show that the training accuracy of the method proposed in this paper is higher, with an accuracy of up to 90%, and the processing speed is faster. The method described in this paper is feasible and effective, and can play a good role in assisting teachers to grasp the teaching process. © 2023 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Research and implementation of network impairment simulation system 23

Research and implementation of network impairment simulation...

引用

4th International Conference on Computing, Networks and Internet of Things, CNIOT 2023

作者： Zhang, Dongyan Xu, Yuanjun School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)9798400700705

Network impairment simulation is designed to simulate different Internet network environments on a local area network(LAN) and provide testing environments for different services under various network conditions (latency, bandwidth limitations, network conflicts, etc.). This verifies the application in a real network environment. In this paper, we implement a system based on the Linux platform which communicate with the Linux kernel through netlink to achieve network damage simulation using the traffic control mechanism in Linux. In this simulation system, it also implements simulation according to certain network loss policies in besides implementing network delay, packet loss, speed limit, repetition, chaos, jitter, etc. For network delay simulation, we proposed to use sparrow search algorithm-optimized long short-Term memory(SSA-LSTM) algorithm to predict future delays using past network delay data. And to perform accurate simulation in the network impairment simulation system based on the results obtained from the prediction, which makes the network impairment simulation about delay more consistent with the real WAN environment. Finally, the experiment verifies the function of the network impairment simulation system. © 2023 ACM.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

SyNet:Medical image anomaly detection with noise synthesis network 10

SyNet:Medical image anomaly detection with noise synthesis n...

引用

10th IEEE Conference on Big Data Security on Cloud, BigDataSecurity 2024

作者： Liu, Jingnian Liang, Wei Chen, Yuxiang Jin, Kai Hunan University of Science and Technology Hunan Key Laboratory for Service Computing and Novel Software Technology School of Computer Science and Engineering Xiangtang China

ISBN: (纸本)9798350389524

Medical image anomaly detection refers to machine learning techniques to analyze and identify lesions and abnormalities in them. However, in medical images, anomaly samples are usually sparse, which can lead to supervised learning not being able to obtain sufficient training. While existing unsupervised learning is mainly based on reconstruction and generation as well as feature embedding, these methods do not take into account the problem of data type bias during domain migration and often face the problem of loose judgment boundaries. To this end, this paper proposes a novel unsupervised learning method, SyNet, based on noisy anomaly synthesis. First, the problem at domain migration is well solved by aggregating the range of features within the feature map, fusing the multiscale features at the intermediate level, and adding feature adapters. Then, anomaly samples are synthesized by adding noise in the feature space, which is more efficient and stable than generating samples in the image space. Finally, normal and abnormal data are distinguished by training the discriminator. In this paper, experiments are conducted on ISIC and brain MRI datasets, and SyNet achieves nearly 20% improvement in AUC, ACC and other metrics compared with the current mainstream methods, and also has good inference efficiency. © 2024 IEEE.

关键词： Anomaly detection

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 << < 490 491 492 493 494 495 496 497 498 499 > >>

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：