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

5,458 篇 会议
1,036 篇 期刊文献
98 册 图书

馆藏范围

6,592 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4,078 篇 工学
- 2,726 篇 计算机科学与技术...
- 2,296 篇 软件工程
- 951 篇 信息与通信工程
- 762 篇 控制科学与工程
- 585 篇 电气工程
- 552 篇 电子科学与技术（可...
- 351 篇 生物工程
- 274 篇 生物医学工程（可授...
- 273 篇 机械工程
- 249 篇 光学工程
- 238 篇 动力工程及工程热...
- 190 篇 仪器科学与技术
- 165 篇 化学工程与技术
- 144 篇 安全科学与工程
- 137 篇 交通运输工程
- 123 篇 建筑学
- 119 篇 材料科学与工程（可...
2,005 篇 理学
- 1,149 篇 数学
- 479 篇 物理学
- 384 篇 生物学
- 345 篇 统计学（可授理学、...
- 317 篇 系统科学
- 157 篇 化学
987 篇 管理学
- 634 篇 管理科学与工程(可...
- 410 篇 图书情报与档案管...
- 390 篇 工商管理
219 篇 医学
- 198 篇 临床医学
- 184 篇 基础医学(可授医学...
185 篇 法学
- 148 篇 社会学
138 篇 经济学
- 137 篇 应用经济学
111 篇 教育学
64 篇 农学
17 篇 文学
17 篇 军事学
6 篇 艺术学

主题

144 篇 accuracy
124 篇 computational mo...
114 篇 machine learning
111 篇 feature extracti...
108 篇 software
106 篇 training
96 篇 software enginee...
93 篇 optimization
87 篇 predictive model...
87 篇 artificial intel...
83 篇 deep learning
76 篇 real-time system...
73 篇 data models
68 篇 computer science
68 篇 computer archite...
62 篇 data mining
61 篇 internet of thin...
61 篇 monitoring
61 篇 mathematical mod...
58 篇 neural networks

机构

56 篇 dept. of systems...
32 篇 dept. of systems...
23 篇 optical sciences...
20 篇 dept. of electri...
19 篇 faculty of compu...
19 篇 gik institute of...
19 篇 university of eu...
19 篇 dept. of technol...
16 篇 dept. of electri...
15 篇 dept. of compute...
15 篇 dept. of softwar...
15 篇 dept. of compute...
14 篇 dept. of electri...
14 篇 dept. of electri...
13 篇 dept. of systems...
12 篇 dept. of softwar...
12 篇 networking and i...
12 篇 ieee
12 篇 bcmaterials basq...
12 篇 dept. of compute...

作者

35 篇 wainer gabriel
21 篇 ali raja hashim
20 篇 tan mengxi
20 篇 moss david j.
19 篇 xu xingyuan
18 篇 gabriel wainer
18 篇 usama arshad
18 篇 ku wei-shinn
18 篇 arshad usama
16 篇 zain ul abideen
15 篇 yangquan chen
14 篇 baldwin timothy
13 篇 shabtai asaf
13 篇 ali zeeshan ijaz
13 篇 xi zhang
12 篇 reiner lisa
12 篇 hyunseung choo
12 篇 sakamoto makoto
12 篇 min dong
12 篇 nisar ali

语言

5,982 篇 英文
533 篇 其他
59 篇 中文
9 篇 朝鲜文
8 篇 日文
1 篇 德文
1 篇 俄文

检索条件"机构=Dept. of Computer Systems and Software Engineering"

共 6592 条记录，以下是1011-1020 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 Decision Making Model Where the Cell Exhibits Maximum Detection Probability: Statistical Signal Detection Theory and Molecular Experimental Data 57

A Decision Making Model Where the Cell Exhibits Maximum Dete...

引用

57th Annual Conference on Information Sciences and systems, CISS 2023

作者： Emadi, Ali Lipniacki, Tomasz Levchenko, Andre Abdi, Ali New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ United States Institute of Fundamental Technological Research Polish Academy of Sciences Warsaw Poland Yale University Yale Systems Biology Institute Dept. of Biomedical Eng. New HavenCT United States New Jersey Institute of Technology Dept. of Elect. Comput. Eng. Dept. of Biological Sciences NewarkNJ United States

ISBN: (纸本)9781665451819

Molecular noise and signaling abnormalities in biochemical signaling systems in cells affect signaling events and consequently may alter cellular decision making results. Since unexpected and altered cellular decisions may contribute to the development of many pathological conditions and diseases, it is of interest to develop proper models to characterize and measure molecular signal detection parameters and cellular decisions. In this paper and using the Neyman-Pearson signal detection theorem, we propose a signal detection model in which the cell maximizes its signal detection probability in the presence of noise. To evaluate the usefulness of the proposed model, we use measured molecular experimental data of the important TNF-NF-κB cell signaling system. Our results demonstrate that the proposed model provides biologically relevant findings. The introduced Neyman-Pearson-based molecular signal detection framework allows to systematically model and quantify the signal detection behavior and failure of molecular signaling systems, and compute their key decision making parameters such as detection and false alarm probabilities. With regard to the specific TNF-NF-κB system case study in this paper and given the high involvement of the transcription factor NF-κB in cell survival, programmed cell death, immune signaling and stress response, the developed signal detection framework can serve as a useful tool to model the associated cell decision making processes. © 2023 IEEE.

关键词： Signal detection

来源：评论

学校读者我要写书评

暂无评论

Facial Shape-Based Eyeglass Recommendation Using Convolutional Neural Networks

Facial Shape-Based Eyeglass Recommendation Using Convolution...

引用

IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Rakib Hossain Rifat Sunzida Siddique Laxmi Rani Das Mohd Ariful Haque Dept. of Computer Science and Engineering BRAC University Mohakhali Dhaka Bangladesh Dept. of Computer Science and Engineering Daffodil International University Dhaka Bangladesh Dept. of Computer Science and Telecommunication Engineering Noakhali Science and Technology University Sonapur Bangladesh Dept. of Cyber-Physical Systems Clark Atlanta University Atlanta Georgia

Eyeglasses are not only used to protect our vision and prevent dust from getting into our eyes. Additionally, glass that fits properly can give a person an elegant appearance. However, people often find it difficult to choose eyeglasses that fit their face shape; to address this issue, we have proposed a novel architecture in this paper. In order to do this, we created a pipeline that can recommend eyeglasses based on the form of the eyes using multiple transfer learning architecture to predict the face shape from a given image. We utilized InceptionV4 [17], InceptionV3[18], Vit Small [12], DenseNet121 [10], ResNet50 [9], and VGG16 [16] to predict the facial shape from the image and achieve a test accuracy of 75%. We used 5500 photos with five different face shapes (Heart, Oblong, Oval, Round, Square) for this experiment, and two distinct datasets were gathered from Kaggle [2] and GitHub [1]. By simply uploading the photograph to our recommendation system, our proposed solution can assist users in selecting the appropriate eyewear.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Transformer-Based Human Action Recognition with Dynamic Feature Selection

Transformer-Based Human Action Recognition with Dynamic Feat...

引用

Canadian Conference on computer and Robot Vision, CRV

作者： Soufiane Lamghari Guillaume-Alexandre Bilodeau Nicolas Saunier Dept. of Computer and Software Engineering LITIV Polytechnique Montreal Montreal Canada Dept. of Civil Geological and Mining Eng. Polytechnique Montreal Montreal Canada

Human action recognition in videos is an important task of computer vision that aims to automatically recognize and classify human actions in video sequences. However, accurately recognizing human actions can be challenging due to the complexity and variability of human motion and appearance. In this paper, we propose ActiViT, a novel approach for human action recognition in videos based on a Transformer architecture. Unlike existing methods that rely on convolutional or recurrent layers, our model is entirely based on the Transformer encoder, enabling us to leverage valuable information in action image patches features. We demonstrate that by dynamically selecting key patches guided by specific human poses, our model learns informative features useful for distinguishing between different actions. Our experimental results on real-world datasets convincingly demonstrate the effectiveness of our model and the importance of selecting discriminative key poses for action recognition.

关键词：

来源：评论

学校读者我要写书评

暂无评论

引用

Proceedings of the 14th International Conference on Education Technology and computers

作者： Veronica Segarra-Faggioni Sylvie Ratté Frank De Jong Dept. Software and IT Engineering École de technologie supérieure Canada and Dept. Computer Science and Electronics Universidad Tecnica Particular de Loja Ecuador Dept. Software and IT Engineering École de technologie supérieure Canada Dept. Learning and Innovation Aeres Wageningen Applied University Netherlands

ISBN: (纸本)9781450397766

Knowledge Building as a pedagogy supports collaborative work between students to improve ideas. The result of knowledge-building discourse in student communities is the development of academic artifacts. Student reports are academic artifacts that can result from a knowledge-building process during their learning. However, the automatic analysis of student reports is quite challenging due to the documents’ length and written language. Given this context, our goal is to analyze the semantic similarity between student reports and curriculum literature using the information coverage measure based on the Skip-gram word2vec model. Word2vec is a well-known set of techniques that provides a way to create a representation of words to predict the nearby words between every word and its context to capture the internal semantic and syntactic information. In this work, through the experimental comparison between the vocabulary list, the best similarity value is 0.90 using word2vec. The results show that each student report was aligned with each document in the curriculum literature using the information coverage measure based on word2vec.

关键词： Machine learning natural language processing word2vec

来源：评论

学校读者我要写书评

暂无评论

Cascaded Deep CNN Network for Breast Cancer Screening from Ultrasound Images Using Differential Evolution Algorithm

Cascaded Deep CNN Network for Breast Cancer Screening from U...

引用

Digital Society and Intelligent systems (DSInS), International Conference on

作者： Wahidur Rahman Md Shadman Sakib Md Solaiman Hosen Mir Mohammad Azad Hani Alshahrani Adel Sulaiman Mana Saleh Al Reshan Asadullah Shaikh Dept. of Computer Science and Engineering Uttara University Uttara Dhaka Bangladesh Dept. of Computer Science and Engineering University of Information Technology & Sciences Dhaka Bangladesh Department of Computer Science Iowa State University USA Department of Computer Science and Engineering Dhaka Bangladesh Department of Computer Science College of Computer Science and Information Systems Najran University Saudi Arabia Emerging Technologies Research Lab (ETRL) College of Computer Science and Information Systems Najran University Saudi Arabia Department of Information Systems College of Computer Science and Information Systems Najran University Saudi Arabia

ISBN: (数字)9798331528829

ISBN: (纸本)9798331528836

Because of poor blood flow and susceptibility to infections, breast cancer can be challenging to heal and, if not treated, might cause major problems, including limb amputation and a lowered quality of life. Though several systems exist to identify breast cancer, few combine machine learning (ML), deep learning (DL), and optimization strategies. This work presents a novel method leveraging complex algorithms to precisely identify breast cancer from ultrasound images. The study utilizes a dataset from a secondary source, categorizing it into three identical classes: normal (Class 0), benign (Class 1), and malignant (Class 2). It extracts features using pre-trained convolutional neural networks (CNNs), optimizes these features using the Differential Evolution Algorithm (DEA), and classifies images using standard machine learning algorithms. To show how well it detects breast cancer, the approach combines seven conventional ML classifiers with ten pre-trained CNN models. Using DenseNet121 + DEA + Xtreme Gradient Boosting (XGB) Classifier, DEA chooses important features derived by CNNs with a high accuracy of 97.76%. However, the proposed method can be very effective for real-time breast cancer screening using ultrasound images.

关键词： Limbs Ultrasonic imaging Machine learning algorithms Feature extraction Breast cancer Real-time systems Classification algorithms Convolutional neural networks Standards Optimization

来源：评论

学校读者我要写书评

暂无评论

Assessing Bacteria Level with Machine Learning (ML) Models in the Neches River, Texas

Assessing Bacteria Level with Machine Learning (ML) Models i...

引用

World Environmental and Water Resources Congress 2025: Cool Solutions to Hot Topics

作者： He, Mengjie Qian, Qin Liu, Xinyu Zhang, Jing Dept. of Industry and Systems Engineering Lamar Univ. BeaumontTX United States Dept. of Civil and Environmental Engineering Lamar Univ. BeaumontTX United States Dept. of Computer Science Lamar Univ. BeaumontTX United States

ISBN: (数字)9780784486184

ISBN: (纸本)9780784486184

Bacteria released from the on-site sewer facilities (OSSFs) elevated fecal bacteria indicators in the Neches River Tidal with increasing flood frequency and intensity. It is necessary to monitor the bacteria levels on time as elevated fecal bacteria bring a public health concern. The aim of the study is to collect water samples after rain events at hotspots of OSSFs to assess the bacteria impacts, apply innovative lab technology to track fecal bacteria sources from the selected water samples, and develop the classification ML model utilizing random forest (RF) for estimating bacteria levels in the Neches River Tidal to assist water monitoring. The field and lab measurements of the water sample showed higher Escherichia coli at hotspots of OSSF increased the bacteria level in the river, especially in winter. The RF determined bacteria levels in river depending on pH, temperature, dissolved oxygen (DO), alkalinity, phosphorus, sulfate, conductivity, chloride, total suspended solid (TSS), total nitrogen (TN), Secchi-dept., ammonia-N, and flow rate from five monitoring stations. RF achieved accuracy=0.74, precision=0.79, recall=0.86, and F1-score=0.83 with less overfitting, superior to the Decision Tree (DT) model. Flow rate was identified as the most important feature. The probability of elevated bacterial level significantly increased when the flow rate was greater than 250 m3/s although pH, temperature, and DO were also key biochemical factors. In conclusion, fixing failed OSSFs or applying green infrastructures are recommend approaches to eliminate the nonpoint source and decrease the bacteria level in Neches River Tidal. © 2025 ASCE.

关键词： Sewer linings

来源：评论

学校读者我要写书评

暂无评论

Towards An Automatic Construction Of Simulation Scenarios: A Systematic Review

Towards An Automatic Construction Of Simulation Scenarios: A...

引用

Simulation Winter Conference

作者： Christopher W.H. Davis Antonie J. Jetter Philippe J. Giabbanelli Microsoft Portland OR USA Dept. of Engineering & Technology Management Portland State University Portland OR USA Dept. of Computer Science & Software Engineering Miami University Oxford OH USA

A predictive simulation is built on a conceptual model (e.g., to identify relevant constructs and relationships) and serves to estimate the potential effects of ‘what-if’ scenarios. Developing the conceptual model and plausible scenarios has long been a time-consuming activity, often involving the manual processes of identifying and engaging with experts, then performing desk research, and finally crafting a compelling narrative about the potential futures captured as scenarios. Automation could speed-up these activities, particularly through text mining. We performed the first review on automation for simulation scenario building. Starting with 420 articles published between 1995 and 2022, we reduced them to 11 relevant works. We examined them through four research questions concerning data collection, extraction of individual elements, connecting elements of insight and (degree of automation of) scenario generation. Our review identifies opportunities to guide this growing research area by emphasizing consistency and transparency in the choice of datasets or methods.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A New Configurable SC-based Dual Source Inverter Topology with Improved Reliability

A New Configurable SC-based Dual Source Inverter Topology wi...

引用

Energy Technologies for Future Grids (ETFG), IEEE International Conference on

作者： Mohammad Anas Anees Marif Daula Siddique Saad Mekhilef Marizan Binti Mubin Mehdi Seyedmahmoudian Alex Stojcevski Dept. of Electrical Engineering University of Malaya Malaysia Dept. of Electrical and Computer Engineering National University of Singapore Singapore School of Software and Electrical Engineering. Swinburne University of Tech. Australia

This paper presents a novel fifteen-level two-source inverter topology that is reliable against source outages. The topology has two DC sources, a total of ten switches, and four DC-link capacitors. Level-shifted PWM is used to generate the required number of levels. Simulations are performed for normal operation as well as for the source outage conditions. The proposed topology is able to generate multi-level output waveform satisfactorily even at the advent of source outages. The simulation results for the source outages are presented for both static and dynamic conditions along with the THD measurements.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Intelligent Model for Optimizing Gantt Chart in the Planning Stage

Intelligent Model for Optimizing Gantt Chart in the Planning...

引用

International Conference on Information Technology (ICIT)

作者： Noor Bdair Wael Alzyadat Shadi AlZubi Dept of Software engineering Faculty of Science and IT Alzaytoonh University of Jordan Dept. of of Computer Science Faculty of Science and IT Alzaytoonh University of Jordan

Scheduling tasks under resource constraints is essential for project success, and this research focuses on scheduling tasks efficiently to minimize completion time. To tackle this problem, two optimization techniques are employed: Linear programming (LP) and particle swarm optimization (PSO). PSO significantly reduces the duration, leading to a reduction in project duration. But the LP algorithm does not improve the project duration. Using suitable algorithms to maximize project efficiency and success is essential for successful project management. This research provides valuable information for project managers and decision makers, highlighting the importance of utilizing suitable algorithms to maximize project efficiency and success.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Kubernetes Cluster Disaster Recovery Using AWS

Kubernetes Cluster Disaster Recovery Using AWS

引用

International Conference on Computing Communication Control and Automation (ICCUBEA)

作者： Simran Bhavsar Apoorva Agrawal Tanvi Ropalkar Pranjali Kamdi Aparna Hajare Shilpa Deshpande Rahul Rathi Devendra Garg Dept. of Computer Engineering Cummins College of Engineering for Women Pune India Veritas Software Technologies India Private Limited Pune India

As applications in IT have been spanning multiple containers across servers, kubernetes is being used extensively for automating software deployment, scaling and management. Kubernetes eases the container tasks and also other activities like horizontal scaling and canary development. To run cloud-native applications, kubernetes has become the de facto standard for container orchestration, regardless of the underlying platform. This makes it very crucial to have a disaster recovery plan for kubernetes environments. This paper proposes a system for backup and restore of a kubernetes cluster using the snapshot method along with the Public Key Infrastructure (PKI) certificates of a cluster. It also focuses on automating the backup and restore operations using microservices. Furthermore, it makes use of Amazon Web Services (AWS) tools for the reliability, scalability and the automation of backup and restore operations. The user can run the proposed microservices to backup and restore the cluster from any specific timestamp before the disaster. The experimental results demonstrate the effective performance of the proposed method in terms of efficiently restoring the kubernetes cluster in optimal time.

关键词：

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 << < 98 99 100 101 102 103 104 105 106 107 > >>

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：