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

34,403 篇 会议
5,316 篇 期刊文献
272 册 图书

馆藏范围

39,991 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

24,669 篇 工学
- 17,660 篇 计算机科学与技术...
- 14,804 篇 软件工程
- 6,542 篇 信息与通信工程
- 3,979 篇 控制科学与工程
- 3,048 篇 电子科学与技术（可...
- 2,866 篇 电气工程
- 2,641 篇 生物工程
- 2,131 篇 生物医学工程（可授...
- 1,694 篇 光学工程
- 1,620 篇 机械工程
- 1,487 篇 仪器科学与技术
- 1,369 篇 动力工程及工程热...
- 1,110 篇 化学工程与技术
- 984 篇 安全科学与工程
- 812 篇 交通运输工程
- 750 篇 网络空间安全
12,355 篇 理学
- 6,617 篇 数学
- 3,357 篇 物理学
- 2,898 篇 生物学
- 2,198 篇 统计学（可授理学、...
- 1,536 篇 系统科学
- 1,190 篇 化学
6,430 篇 管理学
- 3,831 篇 管理科学与工程(可...
- 2,915 篇 图书情报与档案管...
- 2,006 篇 工商管理
1,863 篇 医学
- 1,594 篇 临床医学
- 1,481 篇 基础医学(可授医学...
- 954 篇 药学(可授医学、理...
- 801 篇 公共卫生与预防医...
1,206 篇 法学
- 979 篇 社会学
735 篇 经济学
569 篇 农学
497 篇 教育学
186 篇 文学
97 篇 军事学
61 篇 艺术学
1 篇 哲学

主题

1,290 篇 accuracy
996 篇 feature extracti...
968 篇 computational mo...
871 篇 deep learning
805 篇 training
782 篇 computer science
657 篇 real-time system...
641 篇 machine learning
616 篇 support vector m...
550 篇 predictive model...
497 篇 internet of thin...
470 篇 convolutional ne...
434 篇 data models
382 篇 reliability
356 篇 data mining
340 篇 computer archite...
340 篇 optimization
316 篇 artificial intel...
312 篇 wireless sensor ...
311 篇 routing

机构

82 篇 north-west unive...
82 篇 institut univers...
80 篇 national centre ...
79 篇 infn sezione di ...
77 篇 institute of inf...
76 篇 infn sezione di ...
69 篇 tno technical sc...
66 篇 università di ca...
62 篇 université de st...
58 篇 dept. of informa...
56 篇 dept. of compute...
52 篇 school of automa...
52 篇 leiden universit...
51 篇 nikhef national ...
50 篇 dept. of compute...
49 篇 dept. of informa...
46 篇 dept. of compute...
44 篇 dept. of compute...
43 篇 dept. of electri...
42 篇 infn lnf via enr...

作者

85 篇 ferrara g.
85 篇 ardid m.
84 篇 calvo d.
84 篇 gal t.
84 篇 bozza c.
81 篇 chen a.
80 篇 kalekin o.
78 篇 díaz a.f.
77 篇 boumaaza j.
73 篇 coleiro a.
68 篇 huang f.
68 篇 gozzini s.r.
58 篇 dallier r.
51 篇 kulikovskiy v.
51 篇 anguita m.
44 篇 del burgo r.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.

语言

37,786 篇 英文
1,737 篇 其他
367 篇 中文
54 篇 日文
48 篇 朝鲜文
2 篇 德文
2 篇 斯洛文尼亚文
1 篇 法文
1 篇 葡萄牙文

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

共 39991 条记录，以下是4781-4790 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：

Muscle-Guided Guitar Pedalboard: Exploring Interaction Strategies Through Surface Electromyography and Deep Learning

Muscle-Guided Guitar Pedalboard: Exploring Interaction Strat...

引用

International Conference on New Interfaces for Musical Expression, NIME 2024

作者： Lionetti, Davide Belluco, Paolo Zanoni, Massimiliano Turchet, Luca Dept. of Art and Science University of Ghent Ghent Belgium LWT3 Milan Italy Dept. of Electronics Information and Bioengineering Polytechnic University of Milan Milan Italy Dept. of Information Engineering and Computer Science University of Trento Trento Italy

This paper explores a method to innovate the conventional interaction with a guitar pedalboard. By analyzing muscular contractions tracked via surface Electromyography (sEMG) wearable sensors, we aimed to investigate how to dynamically track guitarists’ sonic intentions to automatically control the guitar sound. Two Recurrent Neural Networks based on Bidirectional Long-Short Term Memory were developed to analyze sEMG signals in real-time. The system was designed as a digital musical instrument that calibrates itself to each user during an initial training process. During training musicians provide their gestural vocabulary, associating each gesture to a corresponding pedalboard preset. The selection of the most effective features, in synergy with the best set of muscles, was conducted to optimize the learning rate of the system. The system was assessed with a user study encompassing seven expert guitar players. Results showed that, on average, participants appreciated the concept underlying the system and deemed it to be able to foster their creativity. © 2024, International Conference on New Interfaces for Musical Expression. All rights reserved.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Optimal Channel Selection for EEG-Based Enhanced Brain Robot Interface for Autonomous Wheelchair

Optimal Channel Selection for EEG-Based Enhanced Brain Robot...

引用

International Conference on Awareness science and Technology (iCAST)

作者： Sabbir Ahmed Sibli Raihan Kabir Nuray Jannat Yutaka Watanobe Md Rashedul Islam Dept. of Computer Science and Engineering Fareast International University Dhaka Bangladesh Dept. of Computer Science and Engineering University of Aizu Aizuwakamatsu Fukushima Japan Dept. of Computer Science and Engineering BRAC University Dhaka Bangladesh Dept. of Computer Science and Engineering University of Asia Pacific Dhaka Bangladesh

Creating an autonomous wheelchair system based on EEG (electroencephalogram) signals is a fascinating and challenging concept. In non-invasive Brain robot Interface (BRI), scalp EEG signals acquired from the multiple channels come with different artifact types, majorly as an electrooculogram (EoG). Also, all the channels don't carry equally important information regarding the particular motor activities. The primary contribution of this paper is to denoise the EEG signal and then find the optimal channels to achieve the most informative EEG signals for the motor activity recognition. Thus, this research proposes a model where firstly the EoG artifacts have been removed from EEG signals with the regression method and other noises with Discrete Wavelet Transform (DWT). Secondly, It proposes a model of selecting optimal channels using a hybrid feature selection process, which includes a filter and wrapper method using sequential floating forward search (SFFS). Maximum Class Separability (MCS) and Support Vector Machine (SVM), both have been used for evaluating the channels. Then again SVM has been applied for classifying the motor activities by the signals recorded from the optimal channels. A dataset with four classes of human motor activities has been used for evaluating the whole proposed model. This proposed model shows the highest accuracy of 84.15% for the optimal channel set with Standard Deviation (STD) feature among other optimal channel sets of features.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Slotted V Shaped Compact Wideband Antenna with Partial Ground Plane for Microwave Based Head Imaging Applications

Slotted V Shaped Compact Wideband Antenna with Partial Groun...

引用

International Conference on Electrical Information and Communication Technology (EICT)

作者： Sonia Akter Moue Md. Samsuzzaman Md Zulfiker Mahmud Sefat Siddiquea Md Siam Talukder Sarna Majumder Faculty of Computer Science And Engineering Patuakhali Science And Technology University Bangladesh Dept. of Computer Science and Engineering Jagannath University Faculty of Computer Science and Engineering Patuakhali Science and Technology University Dumki Patuakhali Bangladesh

This study presents a detailed description of a Slotted V Shaped Compact Wideband Antenna designed for the purpose of microwave-based head imaging. The antenna under consideration comprises a radiating patch with a Vshaped slot and a partial ground with slots. Slots have been found to significantly improve the efficiency, dispersion of current, gain, and various other aspects of antennas. The antenna under consideration has a maximum gain of 5.85, operates within the frequency range of 4 to 8.06 GHz, and is deemed suitable for head imaging applications. The dimensions of the antenna under consideration are 0.33λ × 0.667λ × 0.21λ, where λ represents the wavelength, at a lower frequency of 4 GHz. Additionally, the antenna is equipped with a 50 ohm microstrip transmission line. The antenna is fabricated on a cost-effective FR4 substrate with a thickness of 1.5 mm. The antenna under consideration achieves a fractional bandwidth of 67.33% within the frequency range of 4 to 8 GHz. In order to optimize antenna performance, a comprehensive parametric analysis is carried out utilizing the widely recognized software tools HFSS and CST. The experimental testing and analysis of the prototype antenna yielded findings that exhibited a satisfactory level of concurrence with the corresponding calculations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Towards Personalized Fitness with Multi-modal Wearable Heart Rate Monitors: A Proposal 6

Towards Personalized Fitness with Multi-modal Wearable Heart...

引用

6th International Conference on Vocational Education and Electrical engineering, ICVEE 2023

作者： Nugraha, Alfian Dwi Puspitaningayu, Pradini Hidayatullah, Rahmat Pramukantoro, Eko Sakti Widayaka, Parama Diptya Rochmawati, Naim State University of Surabaya Dept. of Informatics Engineering Surabaya Indonesia State University of Surabaya Dept. of Electrical Engineering Surabaya Indonesia Brawijaya University Faculty of Computer Science Malang Indonesia

ISBN: (纸本)9798350326642

Nowadays, the trend for home workouts is getting more and more popular. The growth of wearable fitness trackers from basic accelerometers, pedometers, pulse detectors, and ECGs also supports the advancement of personal fitness monitoring. Everyone has a distinct level of fitness, in theory. The heart rate, which is correlated with physical activity, such as sports, demonstrates how this organ functions. As the muscles work harder at a high intensity, the heart rate will also rise. This paper presents the design and implementation of a multimodal wearable heart rate monitoring system. The software is Android-based and is designed to be able to receive heart rate data sent by two different wearable heart rate monitors simultaneously using Bluetooth low-energy protocol. One uses an optical heart monitor and the other uses an electrocardiogram or ECG. The implementation also includes IoT for real-Time data acquisition and a web-based application for wider accessibility. The system is evaluated by collecting packets from two devices for 60 minutes. The results underscore the feasibility of the system in collecting users' heart rate data either using different devices. Furthermore, it serves as a foundation for future studies aiming to expand the personalization capabilities of wearable devices in healthcare and fitness. © 2023 IEEE.

关键词： Electrocardiograms

来源：评论

学校读者我要写书评

暂无评论

An Ensemble ML Model to Predict the Wastage of Food: Towards Achieving the Food Sustainability

An Ensemble ML Model to Predict the Wastage of Food: Towards...

引用

Next-Generation Computing, IoT and Machine Learning (NCIM), International Conference on

作者： Md Masrur Masuk Shopnil Asmaul Husna Shaheena Sultana Muhammad Nazrul Islam Dept. of Computer Science and Engineering Military Institute of Science and Technology Dhaka Dept. of Computer Science and Engineering NotreDame University Bangladesh Dhaka

Food waste is a major issue in students' hostel or dormitories, where uneaten food often ends up in the garbage, resulting in economic losses as well as reducing the food sus-tainability. Although Machine Leaning (ML) has emerged as a promising tool for predicting future events in several files, but a very few has been focused to generate accurate predictions and reducing food waste by analyzing read data for a particular context or a country. Therefore, the objective of this research is to explore the factors of affecting food waste in students' hostel or dormitories and to develop an ensemble ML-based food waste prediction system for the student hostel or dormitories. In order to attain these objectives, this study firstly find out the 18 key features that ensure a comprehensive understanding of food waste patterns; then collected the data against these features over the last six months from various mess records of a students' hostel of an engineering university situated in Dhaka, Bangladesh. Secondly, six classification models were developed and analyzed their results and found that Random Forest and Decision Tree performed best accurate prediction (75.41%). Thirdly, the all possible combinations of the studies ML models were explored to find out the best possible ensemble combination; as such, the proposed ensemble ML model showed the highest F1-score of 86.88% that considers the Random Forest and AdaBoost; while all other possible combinations showed around 80–82% F1-score. This research thus contributes to the broader goal of reducing food waste and promoting sustainability in students' mess and other food service settings; as well as may assist the management team in making data-driven decisions about food production, purchasing, and resource allocation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Novel Gaussian Mixture-based Video Coding for Fixed Background Video Streaming 12

Novel Gaussian Mixture-based Video Coding for Fixed Backgrou...

引用

12th Iranian/2nd International Conference on Machine Vision and Image Processing, MVIP 2022

作者： Ghafari, Mohammadreza Amirkhani, Abdollah Rashno, Elyas Ghanbari, Shirin Amirkabir University of Technology Tehran Polytechnic Dept. of Electrical Engineering Tehran Iran Iran University of Science and Technology School of Automotive Engineering Tehran Iran Iran University of Science and Technology Dept. of Computer Engineering Tehran Iran University of Essex Dept. of Computer Science and Electronic Engineering Essex United Kingdom

ISBN: (纸本)9781665412162

In recent years, tremendous advances have been made in Artificial Intelligence (AI) algorithms in the field of image processing. Despite these advances, video compression using AI algorithms has always faced major challenges. These challenges often lie in two areas of higher processing load in comparison with traditional video compression methods, as well as lower visual quality in video content. Careful study and solution of these two challenges is the main motivation of this article that by focusing on them, we have introduced a new video compression based on AI. Since the challenge of processing load is often present in online systems, we have examined our AI video encoder in video streaming applications. One of the most popular applications of video streaming is traffic cameras and video surveillance in road environments which here we called it CCTVs. Our idea in this type of system goes back to fixed background images, where always occupied the bandwidth not efficiently, and the streaming video is related to duplicate background images. Our AI-based video encoder detects fixed background and caches it at the client-side by the background subtraction method. By separating the background image from the moving objects, it is only enough to send the moving objects to the destination, which can save a lot of network bandwidth. Our experimental results show that, in exchange for an acceptable reduction in visual quality assessment, the video compression processing load will be drastically reduced. © 2022 IEEE.

关键词： Video streaming

来源：评论

学校读者我要写书评

暂无评论

Efficiency Redefined: The Document Scanner App for Precise Entity Identification with Customized NER

Efficiency Redefined: The Document Scanner App for Precise E...

引用

Delhi Section Conference (DELCON), IEEE

作者： Sajid Javid Mohammad Saim Saiful Islam Dept. of Computer Science & Engineering Indraprastha Institute of Information Technology Delhi Delhi India Dept. of Computer Science & Engineering University of Cincinnati Cincinnati OH USA Dept. of Computer Engineering Zakir Husain College of Engineering & Technology Aligarh Muslim University Aligarh India

ISBN: (数字)9798331518592

ISBN: (纸本)9798331518608

In the era of rapid advancements in technology, the efficient digitization of paper-based documents remains a crucial challenge across various domains. The traditional approach to document scanning often struggles with accurate extraction of critical information from unstructured or diverse document formats. This paper presents the development of a web-based document scanner application that leverages Named Entity Recognition (NER) to extract entities from scanned business cards efficiently. The study aims to address the challenge of digitizing and organizing physical documents, with a focus on precise entity extraction. The methodology involves creating a custom dataset of scanned business cards, preprocessing the data, and training an NER model using machine learning techniques. The application is built using the Flask framework and integrates OpenCV for text extraction and SpaCy for NER. The key findings include the model's high F1 score in identifying entities such as names, organizations, designations, emails, and contact details. The application streamlines document digitization by automatically extracting and tagging relevant metadata, minimizing the need for manual data entry. This research contributes to enhancing document management and demonstrates broader applicability for other document types apart from business cards. The implications highlight improvements in workflow automation, data accuracy, and the potential for integrating with larger document management systems.

关键词： Training Accuracy Standards organizations Pipelines Named entity recognition Manuals Machine learning Tagging Data mining Character recognition

来源：评论

学校读者我要写书评

暂无评论

Survey on Ethical Challenges of Implementing AI in Healthcare

Survey on Ethical Challenges of Implementing AI in Healthcar...

引用

Pattern Recognition and Artificial Intelligence (PRAI), International Conference on

作者： Nikita Lalwani Muhammad Abdul Basit Ur Rahim Aravind Anand Sumair Pasha Shaik Gauri Shashank Moghe Debarati Datta Dept. of Computer Engineering and Computer Science California State University Long Beach Long Beach United States

ISBN: (数字)9798350350890

ISBN: (纸本)9798350350906

In today's world, Artificial Intelligence (AI) and its usage concerning human tasks have become an integral part of our daily lives. Humans depend upon AI to provide faster and more efficient solutions. In the world of medicine, where every decision made by a doctor, physician, or consultant directly impacts the lives of those being treated or diagnosed, AI is making its way to help efficiently provide such results as the intelligence of a human being. Healthcare systems around the world are now making use of AI to help provide humane solutions using algorithms and Machine Learning (ML). Fallacies or inaccuracies in the arena of healthcare can have horrendous outcomes for the patient on whom the procedure is being carried out. Sometimes, certain ethics could be traded off by the system, such as confidentiality, autonomy, justice, and biased decisions leading to false results and victim blaming, which directs the masses into not trusting AI-related healthcare solutions. This situation can lead to mishaps like “AI winter,” where the public could start disbelieving the results of AI solutions. This survey review makes an effort to analyze and address these pertinent ethical issues underlying the requirement for algorithmic translucency, concealment, and safeguarding the interests of all those involved.

关键词： Training Surveys Ethics Collaboration Medical services Regulation Stakeholders Artificial intelligence Medical diagnostic imaging Standards

来源：评论

学校读者我要写书评

暂无评论

Banknote Fitness Judgment System Using MemSeg Based on K-Means Memory Update

Banknote Fitness Judgment System Using MemSeg Based on K-Mea...

引用

2025 International Conference on Electronics, Information, and Communication, ICEIC 2025

作者： Bae, Hui-Jae Jung, Dae-Sik Kang, Byung-Jun Sangmyung University Dept. of Computer Science Seoul Korea Republic of College of Convergence Engineering Sangmyung University Dept. of Faculty of SW Convergence Seoul Korea Republic of LG AI Research Seoul Korea Republic of

ISBN: (纸本)9798331510756

In general, determining the authenticity of damaged banknotes can often be challenging. To address this, the Bank of Korea exchanges banknotes that are not suitable for circulation due to damage or wear. In this study, we propose a banknote authenticity judgment system using MemSeg based on K-means memory update. This system identifies damage to banknotes more objectively and quickly. When memory update is performed using K-means, normal images with various feature patterns are updated uniformly in the memory. The experimental results show that the image-AUROC is improved by an average of 4.27% compared to the existing method. This proves that the proposed method is more objective. © 2025 IEEE.

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

Unveiling Insights: Vision-Based Data Mining Analysis of Webpages in Transition from HTML 3 to HTML 5

Unveiling Insights: Vision-Based Data Mining Analysis of Web...

引用

Computing, Power and Communication Technologies (IC2PCT), IEEE International Conference on

作者： Meena Chaudhary Pooja Gunjan Chandwani Dept. of Computer Science and Technology Manav Rachna University Faridabad India Dept. of Computer Science and Engineering Galgotias University Greater Noida India

Deep web material is accessed with web database requests, and returned information is packaged into dynamically generated web pages known as deep Web pages. Due to their intricate structure, it is tedious task to retrieve organized data from deep web pages. A great many approaches to address this problem are yet to be proposed, but all of them have inherent drawbacks because they are based on the website and the programming language. The contents of Sites are always shown for users to search daily, like the common two-dimensional media. This motivates us to search for an alternative way to extract deep Web information, by using some interesting popular visual features from deep Webpages, to address the limitations of past works. A novel blog vision approach is proposed in this paper to overcome these issues. This technique uses visual features in deep web pages specifically to conduct deep web data extraction. This paper also recommends a new appraisal measure to capture the required human activity to make maximum mining. The proposed methodology is highly efficient in the deep network data extraction, according to our studies with a large set of web-based data bases.

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 << < 475 476 477 478 479 480 481 482 483 484 > >>

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：