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

10,832 篇 会议
2,083 篇 期刊文献
67 册 图书

馆藏范围

12,982 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

8,003 篇 工学
- 4,804 篇 计算机科学与技术...
- 4,038 篇 软件工程
- 2,155 篇 信息与通信工程
- 1,725 篇 控制科学与工程
- 1,394 篇 电气工程
- 1,393 篇 电子科学与技术（可...
- 740 篇 机械工程
- 734 篇 生物工程
- 665 篇 生物医学工程（可授...
- 610 篇 光学工程
- 607 篇 仪器科学与技术
- 525 篇 动力工程及工程热...
- 464 篇 化学工程与技术
- 349 篇 交通运输工程
- 315 篇 安全科学与工程
- 301 篇 建筑学
- 281 篇 材料科学与工程（可...
- 273 篇 土木工程
4,294 篇 理学
- 2,275 篇 数学
- 1,414 篇 物理学
- 782 篇 生物学
- 696 篇 统计学（可授理学、...
- 602 篇 系统科学
- 441 篇 化学
1,770 篇 管理学
- 1,207 篇 管理科学与工程(可...
- 651 篇 图书情报与档案管...
- 573 篇 工商管理
536 篇 医学
- 454 篇 临床医学
- 420 篇 基础医学(可授医学...
- 278 篇 药学(可授医学、理...
278 篇 法学
211 篇 农学
209 篇 经济学
123 篇 教育学
53 篇 文学
32 篇 军事学
12 篇 艺术学
2 篇 哲学
1 篇 历史学

主题

263 篇 feature extracti...
246 篇 accuracy
200 篇 computational mo...
197 篇 deep learning
178 篇 predictive model...
177 篇 real-time system...
155 篇 support vector m...
154 篇 optimization
144 篇 neural networks
135 篇 machine learning
130 篇 wireless communi...
126 篇 internet of thin...
126 篇 monitoring
114 篇 reliability
114 篇 training
110 篇 wireless sensor ...
104 篇 visualization
103 篇 quality of servi...
101 篇 data mining
97 篇 signal to noise ...

机构

71 篇 dept. of informa...
52 篇 dept. of compute...
51 篇 dept. of electri...
51 篇 dept. of electro...
47 篇 dept. of informa...
39 篇 university of th...
36 篇 dept. of electri...
31 篇 dept. of informa...
27 篇 dept. of control...
26 篇 lovely professio...
26 篇 dept. of informa...
25 篇 dept. of electri...
24 篇 school of automa...
22 篇 institute of inf...
21 篇 ieee
19 篇 delft center for...
19 篇 dept. of control...
18 篇 chitkara univers...
17 篇 dept. of materia...
17 篇 dept. of compute...

作者

26 篇 nasmin jiwani
26 篇 ketan gupta
26 篇 magno michele
26 篇 fotiadis dimitri...
25 篇 jiwani nasmin
21 篇 bin zou
19 篇 logeshwaran j.
18 篇 ye zhang
17 篇 widyawan
16 篇 lo hoi-kwong
16 篇 tom oomen
15 篇 balázs benyó
15 篇 oomen tom
14 篇 chen yen-lin
14 篇 hongyi yu
13 篇 zhang ye
13 篇 loeliger hans-an...
12 篇 horng shi-jinn
12 篇 han ji-hoon
12 篇 masaki yamakita

语言

12,339 篇 英文
271 篇 其他
216 篇 中文
81 篇 日文
81 篇 朝鲜文
1 篇 斯洛文尼亚文

检索条件"机构=Dept. of Control Engineering and Information Technology"

共 12982 条记录，以下是131-140 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：

Efficient Kidney Tumor Classification and Segmentation with U-Net 46

Efficient Kidney Tumor Classification and Segmentation with ...

引用

46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Varalakshmi, P. Tilak Soorya, R. Anugeeta, S. Akshaya, S. Anna University College of Engineering Dept. of Information Science and Technology Chennai India

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371499

A novel approach to kidney tumor identification is introduced, which integrates kidney tumor classification and segmentation algorithms. The multi-faceted approach commences with the classification of kidney images, adaptly discerning between normal and tumor instances. For individuals identified as tumor-positive, a sophisticated UNet-based architecture is intricately employed to achieve precise segmentation, capturing nuanced details of both kidney and tumor regions. Many models, including VGG16, MobileNetV3, DenseNet50, and others, were tested in order to achieve this. Among these, MobilenetV3 performs better than the others in terms of accuracy, with a 99.1% accuracy rate and a 99% precision rate for classification. In this research, we applied a novel U-Net model to accurately segregate kidney and kidney tumor from CT scan data. With this, an average dice coefficient score of 0.9445 is obtained. In advancing the landscape of kidney tumor analysis, this proposed strategy not only bridges classification and segmentation but also showcases a significant leap toward refined clinical applications. © 2024 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

LSTM Architecture Valuation in Recognizing Speech-Based Emotion

LSTM Architecture Valuation in Recognizing Speech-Based Emot...

引用

2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications technology, IAICT 2024

作者： Halimah, Noor Siti Hidayat, Risanuri Mustika, I. Wayan Dept. of Electrical Engineering and Information Technology Universitas Gadjah Mada Yogyakarta Indonesia

ISBN: (纸本)9798350353464

Using Recurrent Neural Networks Long Short-Term Memory (RNN-LSTM) as a classification model can yield varied results. This research explores the effectiveness of LSTM as a classification model for Speech Emotion Recognition (SER) system, and how its architecture influences accuracy. The study compared various LSTM models with different numbers of layers and cells configurations using the TESS dataset. These models were evaluated through univariate ANOVA and correlation tests. Our results indicate that the number of LSTM cells significantly impacts accuracy, while the number of layers does not. The single-layer LSTM with 128 cells achieved the best training accuracy at 0.994 and test accuracy at 0.993. ©2024 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

IT Governance & Management for Smart City: Aligning COBIT 2019 with SPBE Policies for Traditional Market Digitalization Initiatives

IT Governance & Management for Smart City: Aligning COBIT 20...

引用

2024 International Conference on information technology Systems and Innovation, ICITSI 2024

作者： Restavie Bujung, Rizky Dwiputra Hartanto, Rudy Winarno, Wing Wahyu Gadjah Mada University Dept. of Electrical Engineering and Information Technology Yogyakarta Indonesia

ISBN: (纸本)9798331511470

The digitalization of traditional markets is a significant government initiative aimed at preserving market competitiveness in the digital era. However, the program's success is closely tied to effective IT governance due to the complexity of needs and challenges faced by the government This study proposes an IT Governance and Management (ITGM) framework for traditional market digitalization, leveraging the COBIT 2019 framework in alignment with Indonesia's Electronic-Based Government System (SPBE) policies. Using Yogyakarta City and Sleman Regency as case studies, this research identifies key challenges, including stakeholder engagement, digital literacy gaps, resource limitations, and policy shortcomings. By prioritizing 11 ITGM objectives that address these challenges and align with SPBE policies, the study offers a targeted framework for local governments to advance digitalization efforts within traditional markets, linking them to broader Smart City and SPBE initiatives. This approach offers practical guidance for local governments to effectively structure and sustain traditional market digitalization efforts. Future research could explore its adaptability to other Smart City programs, particularly those lacking robust regulatory and governance frameworks. © 2024 IEEE.

关键词： COBIT 2019 Digitalization IT Governance IT Management SPBE Policy Traditional Market

来源：评论

学校读者我要写书评

暂无评论

Notes Application using Android Studio and Cloud-based Data Management 7

Notes Application using Android Studio and Cloud-based Data ...

引用

7th International Conference on Inventive Computation Technologies, ICICT 2024

作者： Dodda, Ratnam Yanala, Maneesh Reddy Pavishetti, Srija Cvr College of Engineering Dept. of Computer Science And Information Technology Hyderabad India

ISBN: (纸本)9798350359299

In today's rapidly advancing technological land-scape, the widespread adoption of mobile applications has become a defining feature of our digital age. This research study presents a on the development of a mobile notes application using Android Studio, with the primary goal of offering users a versatile platform for creating and managing notes. The proposed notes application is designed with a simple and user-friendly interface, facilitating effortless note creation, editing, and deletion. Moreover, it has features like voice-to-text for making notes, text-to-speech for reading the notes aloud, note sharing for easily sharing ideas with others and image insertion for storing the photocopy of the written notes or diagrams based on user interest. This research work uses Android Studio as the integrated development environment (IDE) and utilizes the Java programming language for the app's core functionalities. Furthermore, it incorporates Firebase Authentication to ensure secure user account management and the Firestore for Database for seamless storage and retrieval of notes. This research study provides an essential tool for students, professionals, and anyone seeking a convenient means to keep track of vital information. By combining mobile application development tools and cloud-based data management like Firebase, the application simplifies how information is managed, aligning with the way we live in the digital age. © 2024 IEEE.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

Improving Time Series Forecasting Accuracy with Transformers: A Comprehensive Analysis with Explainability 3

Improving Time Series Forecasting Accuracy with Transformers...

引用

3rd International Conference on Electrical, Electronics, information and Communication Technologies, ICEEICT 2024

作者： Joseph, Susmera Jo, Ashly Ann Raj, Ebin Deni Indian Institute of Information Technology Dept. of Computer Science Engineering Kottayam India

ISBN: (纸本)9798350369083

Time series forecasting is crucial in numerous sectors, including healthcare, energy, and finance. Transformer models, initially designed for natural language processing applications, demonstrate potential in capturing temporal dependencies within sequential data. In this paper, the application of transformer models in time-series forecasting is explored, and their performance and interpretability are investigated. Transparent models build trust and facilitate decision-making, especially in industries with ethical guidelines. While inherently interpretable time-series Transformers exist, there is a gap in research regarding post hoc methods, which is an area ripe for exploration. Understanding and comparing complex Transformer models for time series forecasting can benefit from advancements in explainability, ensuring accurate and comprehensible predictions. In comparison to five other transformer-based models and classical models, the Temporal Fusion Transformer (TFT) model outperformed them in short-term forecasting. Further enhancement of the model performance was achieved through a meticulous analysis of the Encoder-Decoder's importance, which contributed significantly to refining the forecasting accuracy. The vanilla transformer was explained using permutation feature importance. The model stability was analyzed using perturbation methods. © 2024 IEEE.

关键词： Spatio-temporal data

来源：评论

学校读者我要写书评

暂无评论

Innovative Currency Identifier for the Blind through Audio Output using Deep Learning

Innovative Currency Identifier for the Blind through Audio O...

引用

2024 IEEE International Conference on Automation and Computation, AUTOCOM 2024

作者： Maganti, Rajasri Gutla, Jessica Mallimpalli, Yaswanth Yellisetti, Sandeep Velagapudi Ramakrishna Siddhartha Engineering College Dept. of Information Technology Vijayawada India

ISBN: (纸本)9798350382723

With an estimated 4.95 million blind people and 70 million visually impaired individuals in India are facing challenges in their day-to-day monetary transactions, worsened by the complexities in identifying tactile features of notes post-demonetization, this research presents an approach to enhance independence and accessibility. The introduction of the Currency Identification System (CIS), which is specifically designed for Indian cash and is accomplished via an android application with a camera interface for voice output and recording. We examine the shortcomings of current systems while highlighting the particular difficulties experienced by the blind people in our society. As a result, we have developed a novel CIS that combines two deep learning algorithms: Convolutional Neural Networks (CNN) and Residual Networks (ResNet). We trained a model using these two algorithms and compared the algorithms to use the best model for our application. The outcomes demonstrate the ResNet's exceptional performance, with an 90% accuracy rate. By demonstrating the effectiveness of deep learning models in these kinds of applications, our research adds to the growing field of assistive technology. With the help of our research, we shed light on the ways in which technology can promote independence and inclusion in the lives of people, which is a critical step in the direction of increased financial accessibility and control. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Revolutionizing Healthcare with IoT: Integrated Monitoring of BMI and ECG

Revolutionizing Healthcare with IoT: Integrated Monitoring o...

引用

2024 International Conference on Computational Intelligence for Green and Sustainable Technologies, ICCIGST 2024

作者： Srinivas, M.G.C. Sangeetha, Y. Vinay, P Sai Kumar, S Tharun V R Siddhartha Engineering College Dept. of Information Technology Vijayawada India

ISBN: (纸本)9798350381887

People lacking awareness of the importance of BMI may not acknowledge the potential health hazards associated with being underweight, overweight, or obese. Insufficient awareness may result in neglecting potential concerns, such as cardiovascular diseases and diabetes, commonly associated with BMI. Without knowledge of ECG and its role in monitoring heart health, individuals may not be aware of early signs of cardiovascular problems. Delayed detection of irregular heart patterns or abnormalities may increase the risk of heart disease or other cardiac-related complications. This project combines hardware components with software development to create a holistic health monitoring system that promotes user awareness and engagement. © 2024 IEEE.

关键词： Heart

来源：评论

学校读者我要写书评

暂无评论

Implementing a Dynamic-Static Hybrid Fog Computing System for Content Sharing on Local Networks

Implementing a Dynamic-Static Hybrid Fog Computing System fo...

引用

2024 IEEE International Conference on Consumer Electronics, ICCE 2024

作者： Sugawara, Shinji Chiba Institute of Technology Faculty of Engineering Dept. Information and Communication Systems Engineering Narashino Japan

ISBN: (纸本)9798350324136

We have so far proposed a method for configuring a virtual fog server using mobile user terminals that originally belong to the edge in an information network system, making a three-layer cloud-fog-edge structure logically to give a content sharing service. This method is called dynamic fog. In this method, in each area in a city where a large number of users gather, multiple user terminals work together and dynamically form a fog server, switching roles around each other over time. In this paper, as a step before implementing a complete dynamic fog for content sharing, we describe the design for implementing a dynamic-static hybrid fog. In that fog system, a static, simple terminal, which works as a core of a dynamic fog, is set in the place where users can easily gather and it bundles multiple user terminals to make a fog function. © 2024 IEEE.

关键词： cloud-fog-edge structure content sharing dynamic fog peer-To-peer network

来源：评论

学校读者我要写书评

暂无评论

SmartGuard: Support Vector Machine(SVM)-Powered Defense Mechanism for Phishing Prevention

SmartGuard: Support Vector Machine(SVM)-Powered Defense Mech...

引用

2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Applications, ICAIQSA 2024

作者： Rambharat, Yadav Abhishek Shelke, Dev Ritesh Khaleel, Kundlik Adnan Arunkumar, Anande Aditya Ekhande, Deepa Pillai College of Engineering Dept. Computer Engineering New Panvel India Pillai College of Engineering Dept. Information Technology New Panvel India

ISBN: (纸本)9798331517953

SmartGuard serves as a strong defense system against data breaches and financial risks from hackers by utilizing a range of machine learning algorithms, including Support Vector Machine (SVM). The proposed system involves a website that accepts URLs as input from users and employs various models to predict the legitimacy of the provided URL, distinguishing between legitimate and malicious websites. Additionally, users can input messages containing links for further analysis. Nowadays, many phishing links are received by people on WhatsApp and Emails. These links pretend to be genuine but in reality, are malicious. Clicking on this link can cause data or monetary loss to an individual. The proposed system also incorporates a client-side extension, and leverages many parameters to evaluate the authenticity of a website, protecting users from visiting potentially malicious sites. The integration of AI technologies and the user friendly interface make SmartGuard a robust tool against Phishing and other cyberattacks. © 2024 IEEE.

关键词： Phishing

来源：评论

学校读者我要写书评

暂无评论

Performance Investigation of Customized MFCC Feature Extraction in Recognizing Indonesian Conversational Emotion 16

Performance Investigation of Customized MFCC Feature Extract...

引用

16th International Conference on information technology and Electrical engineering, ICITEE 2024

作者： Halimah, Noor Siti Hidayat, Risanuri Mustika, I Wayan Gadjah Mada University Dept. of Electrical Engineering and Information Technology Yogyakarta Indonesia

ISBN: (纸本)9798350375817

Modifying the MFCC extraction process is an opportunity to improve Indonesian SER performance. This work confirms the performance of MFCC features obtained by customized MFCC extraction. This paper utilizes customized MFCC features with single-layer LSTM as a classifier model. MFCC was customized by providing values of pre-emphasis of 0.97, a frame length of 0.025 seconds with an overlap of 0.01 seconds, FFT points of 512, a mel-filter of 40, and 13 MFCCs. The result shows better performance in single-layer LSTM compared with SVM using PCA, which results in a training accuracy of 0.789 and a testing accuracy of 0.787. K-fold cross-validation was confirmed with an average accuracy of 0.816 using k value 5 and 0.879 with k value 10. © 2024 IEEE.

关键词： Emotion Recognition

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 << < 10 11 12 13 14 15 16 17 18 19 > >>

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：