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

17,142 篇 会议
2,560 篇 期刊文献
141 册 图书

馆藏范围

19,843 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

11,642 篇 工学
- 7,845 篇 计算机科学与技术...
- 6,581 篇 软件工程
- 3,357 篇 信息与通信工程
- 1,987 篇 控制科学与工程
- 1,798 篇 电子科学与技术（可...
- 1,764 篇 电气工程
- 1,231 篇 生物工程
- 1,060 篇 生物医学工程（可授...
- 898 篇 光学工程
- 811 篇 机械工程
- 769 篇 动力工程及工程热...
- 734 篇 仪器科学与技术
- 597 篇 化学工程与技术
- 522 篇 安全科学与工程
- 455 篇 交通运输工程
- 393 篇 材料科学与工程（可...
5,942 篇 理学
- 3,015 篇 数学
- 1,843 篇 物理学
- 1,359 篇 生物学
- 1,002 篇 统计学（可授理学、...
- 704 篇 系统科学
- 600 篇 化学
2,903 篇 管理学
- 1,830 篇 管理科学与工程(可...
- 1,237 篇 图书情报与档案管...
- 940 篇 工商管理
943 篇 医学
- 810 篇 临床医学
- 755 篇 基础医学(可授医学...
- 464 篇 药学(可授医学、理...
- 428 篇 公共卫生与预防医...
570 篇 法学
- 462 篇 社会学
355 篇 经济学
259 篇 农学
208 篇 教育学
88 篇 文学
49 篇 军事学
12 篇 艺术学
1 篇 历史学

主题

687 篇 accuracy
497 篇 deep learning
455 篇 feature extracti...
419 篇 computational mo...
352 篇 support vector m...
340 篇 real-time system...
310 篇 training
300 篇 internet of thin...
265 篇 machine learning
241 篇 predictive model...
218 篇 optimization
214 篇 convolutional ne...
211 篇 reliability
209 篇 computer science
207 篇 computer archite...
187 篇 neural networks
183 篇 wireless communi...
176 篇 data mining
171 篇 routing
168 篇 throughput

机构

84 篇 institut univers...
82 篇 north-west unive...
82 篇 tno technical sc...
81 篇 national centre ...
79 篇 infn sezione di ...
78 篇 nikhef national ...
76 篇 infn sezione di ...
76 篇 université de st...
75 篇 university würzb...
72 篇 university of jo...
66 篇 università di ca...
62 篇 ncsr demokritos ...
61 篇 university moham...
53 篇 leiden universit...
53 篇 university moham...
51 篇 dept. of compute...
50 篇 school of automa...
43 篇 in2p3 lpc campus...
42 篇 infn lnf via enr...
42 篇 chitkara univers...

作者

85 篇 ferrara g.
85 篇 ardid m.
84 篇 calvo d.
84 篇 gal t.
84 篇 bozza c.
82 篇 kalekin o.
82 篇 díaz a.f.
82 篇 boumaaza j.
81 篇 chen a.
81 篇 coleiro a.
81 篇 gozzini s.r.
81 篇 dallier r.
78 篇 anguita m.
76 篇 boettcher m.
76 篇 enzenhöfer a.
72 篇 aly z.
70 篇 huang f.
70 篇 celli s.
66 篇 dornic d.
62 篇 carretero v.

语言

18,596 篇 英文
980 篇 其他
199 篇 中文
45 篇 日文
21 篇 朝鲜文
2 篇 斯洛文尼亚文
1 篇 阿拉伯文
1 篇 德文
1 篇 法文
1 篇 土耳其文

检索条件"机构=Dept Computer Engineering and Technology"

共 19843 条记录，以下是691-700 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 Self-Supervised Semantic Segmentation Method for Identifying Barrett' s Esophagus in Endoscopic Images 24

A Self-Supervised Semantic Segmentation Method for Identifyi...

引用

6th Asia Pacific Information technology Conference, APIT 2024

作者： Lin, Guo-Shiang Chang, Ku-Yaw Hsu, Wen-Teng Yang, Sheng-Chih Yan, Shen-Lei Dept. of Artificial Intelligence and Computer Engineering National Chin-Yi University of Technology Taiwan Dept. of Computer Science and Information Engineering National Chin-Yi University of Technology Taiwan Dept. of Internal Medicine Chang Bing Show Chwan Memorial Hospital Taiwan

ISBN: (纸本)9798400716218

Barrett's esophagus is considered a precancerous condition that may lead to esophageal cancer. The condition is usually diagnosed through an endoscopy with biopsy. This careful imaging examination is quite labor-intensive and usually lacks of diagnostic consistency. In this paper, a computer-aided diagnosis (CAD) method was proposed to assist pathologist in Barrett's esophagus diagnosis from endoscopic images. The proposed semantic segmentation was built based on the U-Net architecture, which features capturing detailed spatial information and context to produce accurate pixel-wise predictions. An autoencoder, which is quite capable of learning a compact and meaningful representation of the input data, is incorporated to achieve self-supervised learning. A two-stage pretraining for the encoder and the decoder is adopted for better performance and reduced data requirements. The proposed method can extract features and patterns from unlabeled data without requiring human annotation or labels, which is very suitable in many biomedical image analyses. The experimental results show that the segmentation accuracy with mean pixel accuracy, mean dice coefficient, and mIoU reaches 98.20%, 87.96%, and 83.18% respectively, indicating that the proposed method has a good performance on the identification of Barrett's esophagus in endoscopic images. © 2024 Owner/Author.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Influence of COVID-19 in Tourism: A Sentiment Analysis of Twitter Data 4

Influence of COVID-19 in Tourism: A Sentiment Analysis of Tw...

引用

4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Kumaravel, T. Nallusamy, C. Natesan, P. Nagul, K.S. Naveen, A.M. Sakthisundaram, A. Kongu Engineering College Department of Computer Science and Engineering Tamil Nadu Erode India K S Rangasamy College of Technology Dept of information Technology TamilNadu Namakkal India

ISBN: (纸本)9798331540364

This study investigates the economic impacts of the COVID-19 pandemic on Thailand's tourism-driven economy by analyzing English-language tweets related to tourism from July to December 2020. Utilizing advanced machine learning models-Logistic Regression, Decision Tree Classifier, XGBoost Classifier, and the Pelican Optimization Algorithm-we aimed to understand the sentiments and intentions expressed in these tweets. The research analysis revealed high predictive accuracy, with Logistic Regression achieving 98%, Decision Tree Classifier 99%, XGBoost Classifier 96%, and Pelican Optimization Algorithm 94.5%. These results highlight the importance of addressing concerns related to COVID-19 and political tensions to support the recovery of Thailand's tourism sector. The research also highlights the critical role of information and communications technology (ICT) in managing and revitalizing the tourism industry, especially in the context of reduced consumer spending and travel restrictions. Social media platforms, particularly Twitter, were used to gauge public sentiment and inform recovery strategies. The proposed methodology included extensive data collection, cleaning, and natural language processing, followed by the application of various machine learning algorithms to analyze and interpret sentiment data. The findings offer actionable insights for enhancing tourism marketing strategies and improving the sector's resilience amid ongoing pandemic challenges. © 2024 IEEE.

关键词： Tweets

来源：评论

学校读者我要写书评

暂无评论

Handy Non-Invasive Blood Glucose Estimator using Arduino and NodeMCU

Handy Non-Invasive Blood Glucose Estimator using Arduino and...

引用

2023 International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2023

作者： Shanthi, K.G. Vidhya, S. Sesha Santhi, S. Dinesh, P. Sai Reddy, P. Shashank Prasad, M. Venkata R.M.K College of Engineering and Technology Dept of Electronics and Communication Engineering Chennai India Kalaignarkarunanidhi Institute of Technology Dept of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9781665474511

People in almost every nation on the earth suffer with diabetes, a widespread chronic disease. Inspecting blood sugar values is imperative for augmenting the longevity of human life. Invasive testing is quite sore and nerve damaging. In this paper, the light obtained from the photo detector is utilized to assess the variance in glucose intensity, which is then employed for measuring the blood glucose content. The detected glucose value is shown on a Liquid Crystal Display (LCD) and also sent to a cloud server using the Node Microcontroller Unit (Node MCU) of the non-invasive embedded system implementation. The estimated glucose value is also sent to the mobile phone and coupled with ThingSpeak for portraying the analytics. © 2023 IEEE.

关键词： Glucose

来源：评论

学校读者我要写书评

暂无评论

Brain-computer Interfaces: A Key to Neural Communication's Limitless Possibilities 1

Brain-Computer Interfaces: A Key to Neural Communication's L...

引用

1st International Conference on Cognitive, Green and Ubiquitous Computing, IC-CGU 2024

作者： Saxena, Shilpi Ranjan, Mritunjay Kr. Sattar, Arif Md. School of Computer Science and Engineering Sandip University Nashik India A.M. College Dept. of Computer Science & Information Technology Gaya India

ISBN: (纸本)9798350361780

Brain-computer Interfaces (BCIs) have revolutionized human-machine interaction by establishing a direct communication pathway between the brain and an external machine. These systems rely on neural signals, acquired invasively through implanted electrodes or non-invasively using scalp sensors. Signal processing algorithms extract meaningful information from these signals, such as motor intentions or cognitive states. BCIs have applications in various domains, including healthcare, neurorehabilitation, gaming, virtual reality, and augmented reality. However, BCI development faces challenges such as improving signal acquisition and decoding techniques, enhancing reliability and robustness, and ensuring user safety and privacy. The translation of BCI technology from the lab to real-world applications requires addressing ethical, legal, and societal considerations. Standardized evaluation metrics and protocols are needed to compare and validate different BCI approaches effectively. In conclusion, BCIs have the potential to revolutionize human-machine interaction across various domains, but challenges remain in technology refinement, user acceptance, and ethical considerations. Future research directions include enhancing spatial and temporal resolution of neural signals, exploring novel electrode materials, and investigating long-term implantation methods. © 2024 IEEE.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

BanijyaPrayukti: E-Commerce Recommendation Engine for Sustainable Products 7

BanijyaPrayukti: E-Commerce Recommendation Engine for Sustai...

引用

7th IET Smart Cities Symposium, SCS 2023

作者： Pradhan, Aditya Ghosh, Amartya Mondal, Rintu Saxena, Kumar Abhi Dutta, P.K. Mitra, Anirban Dept. of Computer Science and Engineering Amity School of Engineering and Technology Kolkata Kolkata India Dept. of Electronics and Communication Engineering Amity School of Engineering and Technology Kolkata Kolkata India

ISBN: (纸本)9781839539831

The rapid growth of e-commerce has revolutionized the way businesses operate and interact with customers. E- commerce has revolutionized the way businesses operate, making it easier than ever to reach customers and sell products. However, with this convenience comes a challenge: how can we promote sustainable products and encourage consumers to make eco- friendly choices? The primary objective of this project is to pro- mote sustainability by utilizing artificial intelligence techniques in recommending eco-friendly alternatives. Our goal is to provide users with recommendations on sustainable products based on their shopping history, behavior patterns, and demographic information. The system continuously learns from user interactions, enabling it to provide increasingly accurate and personalized recommendations over time. © The Institution of engineering & technology 2023.

关键词： Electronic commerce

来源：评论

学校读者我要写书评

暂无评论

Improvising Early Detection of Diabetes through Deep Learning on Retinal Fundus images 3

Improvising Early Detection of Diabetes through Deep Learnin...

引用

3rd International Conference on Electronics and Renewable Systems, ICEARS 2025

作者： Balaji, Krishna Ganesh, Maniprabha Shankar Murali, Daneesh Pachiappan, Kalaivani Iyyanar, P. Jayakumar, Nithya Kongu Engineering College Dept. of Computer Science Erode India Sona College of Technology Dept. of Information Technology Salem India K.S Rangasamy College of Technology Dept. of Information Technology Tiruchengode India

ISBN: (纸本)9798331509675

Diabetes is a chronic disease whose timely and accurate diagnosis will prevent serious complications from health. This paper explores using iridology principles in a deep learning method to detect diabetes from retinal images in order to streamline the process and automate the procedure. The objective here is to create a non-invasive procedure for early and reliable detection of the disease. Deep learning in medical imaging is the new way to interfere with conventional modes of diagnostics. The retinal imaging is non-invasive and has, over the years, been put to use in medical examinations, and its potential is now absolutely being utilized in the early diagnosis of diabetes. A retinal analysis that is based on principles, integrating them into iridology, concentrating on the patterns and signs portrayed in the iris for possible reflections of a general health condition, is aimed at achieving earlier indications of diabetes in a more effortless and rapid way. Models such as ResNet50, ResNet101, and EfficientNetB7 were precious but actually, it was InceptionV3 that delivered a great accuracy of 97.14%. This result proves the feasibility application of InceptionV3 for diagnosing diabetes in the early stages, thus eventually providing an easy and non-invasive way of moving forward to better health. © 2025 IEEE.

关键词： Ophthalmology

来源：评论

学校读者我要写书评

暂无评论

Real Time Facial Emotion Recognition using Deep Learning and CNN

Real Time Facial Emotion Recognition using Deep Learning and...

引用

2023 International Conference on computer Communication and Informatics, ICCCI 2023

作者： Lokeshnaik, S.K. Punitha, A. Vijayakarthik, P. Kiran, Ajmeera Dhangar, A. Narsimha Reddy, B.Jathin Sudheeksha, M. MLR Institute of Technology Department of Computer Science and Engineering Hyderabad India Annamalai University Department of Computer Science and Engineering TamilNadu India R.L.Jalappa Institute of Technology Dodabalapur Dept of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350348217

In this universe, a person's mood may be read from their facial expressions. But one thing is for sure: every expression is a way that people communicate their emotions. Despite the fact that every person has a unique set of facial features and a range of emotions, artificial intelligence (AI)technology allows us to recognize these emotions. A face emotion-recognition AI is built using a variety of techniques, one of which is deep learning to build a convolutional neural network (CNN) to train the data set and obtain high prediction accuracy. Recognizing seven of the fundamental facial emotions out of hundreds is the major goal here. The most common facial emotions are those of happiness, sadness, neutrality, anger, surprise, fear, and disgust. There are plenty of ways to achieve this facial emotion recognition like using deep face algorithms, machine learning, by AI techniques, by Tensor flow etc. The accuracy of our model is between 70% to 80%. It is perhaps the simplest and efficient approach of all of them. © 2023 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Siamese Meets Diffusion for Morphing Attack Detection

Siamese Meets Diffusion for Morphing Attack Detection

引用

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

作者： Malik, Shreya Malik, Latesh Malik, Gagan Indian Institute of Information Technology Dept of Computer Science and Engg. Guwahati India Government College of Engineering Dept of Computer Science and Engg. Nagpur India GH Raisoni University Dept of Mechanical Engineering Amravati India

ISBN: (纸本)9798331517953

Biometric systems, such as facial recognition, are increasingly employed for secure identity verification. However, they are susceptible to morphing attacks, wherein images of different individuals are subtly blended to deceive biometric systems. Detecting these morphed images is challenging due to the subtle nature of the modifications. This paper proposes a novel approach that leverages diffusion models and Siamese networks to enhance morph detection capabilities. Diffusion models enable the extraction of fine-grained details by recreating the image after adding noise, while the Siamese network evaluates these details to accurately identify morphed images. Our method emphasizes improved detection accuracy, demonstrating significant potential to strengthen biometric security systems against morphing attacks. © 2024 IEEE.

关键词： Biometrics

来源：评论

学校读者我要写书评

暂无评论

Global Asymptotic Stabilty Analysis of DC-DC Buck Converters 1

Global Asymptotic Stabilty Analysis of DC-DC Buck Converters

引用

1st International Conference on Innovative engineering Sciences and Technological Research, ICIESTR 2024

作者： Kannabiran, Kanimozhi Mohamed Rabi, B. Raja Jayapalan, Booma Krismadinata Lakshmanan, Thangapalani Rajalakshmi, K. Npr College of Engineering & Technology Dept. of Electrical and Electronics Engg. Natham India Dept. of Mechanical Engineering Rathinam Technical Campus Coimbatore India Psna College of Engineering and Technology Dept. of Electronics and Communication Engg. Dindigul India Universitas Negeri Centre for Energy and Power Electronics Research Pedang Indonesia Sri Sairam Institute of Technology Dept. of Computer Science and Engineering Chennai India Npr College of Engineering & Technology Dept. of Computer Science and Engineering Natham India

ISBN: (纸本)9798350348637

Stability of power electronic converters is one of the most important problems related to their dynamics. The problems related to global asymptotic stability is discussed here. The design example used is DC-DC buck converter with Adaptive sliding mode control. An averaged small signal model is derived and transfer functions are obtained. Stability is also verified using conventional techniques by MATLAB simulation. Simulation results and mathematical proof shows that closed loop system designed is stable and a fast response is obtained. Simulated results show that the simulated converter system acquires the excellent robustness feature of achieving a stable steady-state and fast transient response under variable operating points. A prototype model has been developed and simulated results are compared with experimental results. The results validate the stability analysis of Dc-Dc buck converter © 2024 IEEE.

关键词： Buck converter

来源：评论

学校读者我要写书评

暂无评论

Optimization of New Radio Physical Uplink Shared Channel Resources Allocation with Efficient Demodulated Referenced Signals and PT-RE Deployment

Optimization of New Radio Physical Uplink Shared Channel Res...

引用

2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024

作者： Upadhyay, Deepak Gupta, Mridul Sharma, Kunj Bihari Upadhyay, Abhay Yadav, Satya Prakash Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to be University Dept. of Electronics and Communication Engineering Dehradun India Graphic Era Deemed to be University Dept. of Computer Science and Engineering Dehradun India Bennett University School of Computer Science Engineering and Technology Greater Noida India

ISBN: (纸本)9798350378092

This paper explores the resource allocation optimisation of New Radio Physical Uplink Shared Channels with an emphasis on the effective implementation of Phase Tracking Reference Signals and Demodulation Reference Signals in 5G networks. Understanding how important these reference signals are to dependable communication, we created a Python framework to model and display their distribution on a time-frequency grid. By carefully modifying important factors including mapping type, PRB allocation, and symbol allocation, our method greatly increased resource efficiency, decreased overhead, and improved signal quality. The results show how sophisticated resource allocation techniques may be used to maximise system performance, providing important information for the creation of more reliable and effective 5G NR communication systems © 2024 IEEE.

关键词： 5G mobile communication systems

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 << < 66 67 68 69 70 71 72 73 74 75 > >>

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：