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

31,159 篇 会议
4,913 篇 期刊文献
244 册 图书

馆藏范围

36,316 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

22,638 篇 工学
- 16,120 篇 计算机科学与技术...
- 13,476 篇 软件工程
- 5,972 篇 信息与通信工程
- 3,700 篇 控制科学与工程
- 2,866 篇 电子科学与技术（可...
- 2,856 篇 电气工程
- 2,362 篇 生物工程
- 1,940 篇 生物医学工程（可授...
- 1,589 篇 光学工程
- 1,488 篇 机械工程
- 1,338 篇 动力工程及工程热...
- 1,275 篇 仪器科学与技术
- 1,157 篇 化学工程与技术
- 905 篇 安全科学与工程
- 775 篇 交通运输工程
- 678 篇 建筑学
11,662 篇 理学
- 6,265 篇 数学
- 3,255 篇 物理学
- 2,585 篇 生物学
- 2,081 篇 统计学（可授理学、...
- 1,350 篇 系统科学
- 1,218 篇 化学
5,837 篇 管理学
- 3,458 篇 管理科学与工程(可...
- 2,685 篇 图书情报与档案管...
- 1,877 篇 工商管理
1,679 篇 医学
- 1,430 篇 临床医学
- 1,330 篇 基础医学(可授医学...
- 872 篇 药学(可授医学、理...
- 721 篇 公共卫生与预防医...
1,070 篇 法学
- 862 篇 社会学
676 篇 经济学
497 篇 农学
444 篇 教育学
183 篇 文学
80 篇 军事学
43 篇 艺术学
1 篇 哲学

主题

1,129 篇 accuracy
865 篇 feature extracti...
851 篇 computational mo...
766 篇 deep learning
691 篇 training
688 篇 computer science
548 篇 real-time system...
546 篇 machine learning
524 篇 support vector m...
455 篇 predictive model...
421 篇 internet of thin...
367 篇 convolutional ne...
363 篇 data models
355 篇 computer archite...
342 篇 reliability
316 篇 optimization
292 篇 data mining
277 篇 routing
257 篇 wireless sensor ...
252 篇 artificial intel...

机构

83 篇 institut univers...
82 篇 north-west unive...
81 篇 national centre ...
79 篇 infn sezione di ...
76 篇 infn sezione di ...
76 篇 institute of inf...
76 篇 tno technical sc...
66 篇 università di ca...
65 篇 université de st...
62 篇 nikhef national ...
59 篇 dept. of compute...
59 篇 dept. of informa...
58 篇 dept. of informa...
56 篇 dept. of compute...
53 篇 school of automa...
53 篇 leiden universit...
48 篇 dept. of compute...
48 篇 dept. of compute...
45 篇 dept. of electri...
44 篇 dept. of compute...

作者

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

语言

31,050 篇 英文
4,770 篇 其他
318 篇 中文
119 篇 日文
71 篇 朝鲜文
6 篇 斯洛文尼亚文
4 篇 德文
3 篇 法文
1 篇 葡萄牙文

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

共 36316 条记录，以下是721-730 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：

Transformer-Based Self-Supervised Imputation for Medical Data 4

Transformer-Based Self-Supervised Imputation for Medical Dat...

引用

4th International Conference on Electrical, computer, Communications and Mechatronics engineering, ICECCME 2024

作者： Singh, Aryan Kumar Saikia, Arpit Baro, Pranita Borah, Malaya Dutta National Institute of Technology Silchar Dept. of Computer Science and Engineering Cachar India

ISBN: (纸本)9798350391183

Dealing with missing data is necessary to develop a solid predictive medical research model. This work presents a hybrid dynamic imputation method devoted to addressing the challenge of missing data, specifically focusing on medical datasets. In this work, we investigate the incompleteness of the dataset using a sophisticated measure called the Incompleteness Factor. This metric is used to guide a hybrid dynamic approach. A novel Transformer-based Self-Supervised imputation method is employed to learn complex data dependencies to impute missing data. This paper introduces one potential solution to obtain model-level accuracy increase for tasks like disease prediction, patient prognosis, etc., over medical datasets. The proposed method aims to remove the measurement biases caused by incompleteness and preprocess the data to enhance the credibility and clinical relevance of the experimental results. © 2024 IEEE.

关键词： Self-supervised learning

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

Detection and Localization of Car Damages Using Deep Learning

Detection and Localization of Car Damages Using Deep Learnin...

引用

2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology, IC-SIT 2024

作者： Parihar, Prachi Sachdeva, Manas Gupta, Deepak Pranveer Singh Institute of Technology Dept. of Computer Science and Engineering Kanpur India

ISBN: (纸本)9798350369175

In the automotive industry, accurate and efficient vehicle damage detection is crucial for reducing the cost of claims and improving assessment procedures. This paper presents an automated method for vehicle damage detection using deep learning based You Only Look Once models, specifically YOLOv3, YOLOv5, and YOLOv8, in conjunction with two optimizers, AdamW and SGD. The COCOtoYOLO dataset contains pictures with six damage kinds. Gaussian Blur, Median Blur, Grayscale conversion, and Contrast Limited Adaptive Histogram Equalization (CLAHE) improved picture quality and feature visibility. The results reveal that YOLOv8, optimized with SGD over 200 epochs, achieved the highest mean Average Precision (mAP-50) of $72 \%$, surpassing other configurations. This study demonstrates the effectiveness of YOLOv8 and SGD in vehicle damage detection. The highest F1-score of ${9 3 \%}$ for glass shutter class claims the model's robustness for different types of car damages. © 2024 IEEE.

关键词： Automotive industry

来源：评论

学校读者我要写书评

暂无评论

An Efficient Approach for Maintaining and Mining Frequent Episodes 6

An Efficient Approach for Maintaining and Mining Frequent Ep...

引用

6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024

作者： Yen, Show-Jane Lee, Yue-Shi Ming Chuan University Dept. of Computer Science and Information Engineering Taoyuan Taiwan

ISBN: (纸本)9798350344349

Data mining technology plays a crucial role in the area of data analysis. Mining frequent episodes stands out as a pivotal task within this domain, enabling users to forecast future events based on present occurrences. Conventional methods for discovering frequent episodes typically follow a hierarchical approach, involving the generation of candidate episodes and subsequent scanning of sequence data to count their frequency, which can be quite time-consuming, as it necessitates repeated scans of the sequence data and the search for candidate episodes. In this paper, we introduce a novel approach for episode mining in a data stream. Our method distinguishes itself by scanning newly added data to update existing frequent episodes, all without the need for scanning the original data or searching for candidate episodes. The experiments also show that our approach is more efficient compared to other existing methods. © 2024 IEEE.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Novel Approach to Monitor Location of the Student in the Institution 15

Novel Approach to Monitor Location of the Student in the Ins...

引用

15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Kulkarni, R.N. Suma, Rochana Y. Sravanthi, B. Rakshitha, G. Krathika, T. Ballari Institute of Technology and Management Dept. of Computer Science & Engineering Ballari India

ISBN: (纸本)9798331300579

During the last few decades there is a tremendous growth in the information and communication technology wherein many organizations are making use of the hardware and software for various applications. Marking the attendance of a student in the school or college as well as the presence of the employee in the workplace is to be either captured or manually marked in the registers. Performing various analyses by taking the manual input is cumbersome because the number of students in the class or number of employees in the organizations are increasing. To overcome the difficulties of managing the things manually in this paper we are proposing an automated tool to capture the presence of the student in the specific location. This paper proposes a novel approach to mark the presence of a student in the college premises. The tool developed here is an Android Application (App) wherein the students can send the details to the App. Two modules are proposed here, one for the student and another for the Administrator. Through the student module, each student can login to the App and capture the self-image and send it to the Administrator Module. The captured image comprises the GPS details like Longitude, Latitude, Time, and date information. The information sent through the App determines the location of the student whether the student is in the college premise such as Class room, Laboratory and Library. The application which is managed by the teacher or the administrator or proctor will get the details about the student's image, GPS locations such as latitude, longitude, date and time. The mobile app verifies the GPS location and image of the student and compares it with the database. If the captured information matches with the appropriate GPS location then the students attendance is marked as present in that particular duration and appropriate files are updated. © Grenze Scientific Society, 2024.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Detection of Specific Language Impairment Using XGBoost Model 15

Detection of Specific Language Impairment Using XGBoost Mode...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Rai, Rajnish Thenkanidiyoor, Veena Dept. of Computer Science and Engineering National Institute of Technology Goa Goa India

ISBN: (纸本)9798350370249

Specific Language Impairment (SLI) in children, a neurodevelopmental disorder presenting significant hurdles in language acquisition. Motivated by the prevalence and complexity of SLI diagnosis, this article introduces an methodology using Mel-Frequency Cepstral Coefficients (MFCC) and chroma features combined with the XGBoost algorithm for classification. By analyzing a diverse dataset encompassing both SLI-diagnosed and non SLI children, the proposed model achieves efficiency of 99.3% accuracy on unseen data. Notably, the model’s strategic feature selection and utilization of XGBoost demonstrate superior performance compared to existing methods, highlighting its importance in SLI diagnosis and intervention planning. This work significantly advances machine learning-based diagnostic tools and holds promise for improving the quality of life for individuals impacted by SLI. ©2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Multi-Frequency State-Feedback Current Control for Active Power Filters

Multi-Frequency State-Feedback Current Control for Active Po...

引用

2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Sánchez, Lidia Reigosa, David Nurminen, Tuure Mourouvin, Rayane Hinkkanen, Marko Briz, Fernando University of Oviedo Dept. of Elect. Computer & System Engineering Gijón33204 Spain Aalto University Dept. of Electrical Engineering and Automation Espoo02150 Finland

ISBN: (纸本)9798350376067

Feedback-based methods combining proportional-integral and/or resonant controllers are the most common option for Active Power Filter (APF) control. Alternatively to classical feedback-based control, state-feedback current control could be used, potentially enabling better dynamic performance. State-feedback current control has been previously proposed for grid-connected converters;however, reference tracking response of multiple harmonic components of the controlled current has not been reported. This is highly relevant to comply with grid codes. This paper analyses the design and implementation of state-feedback current control for harmonic current compensation in APFs. © 2024 IEEE.

关键词： Active filters

来源：评论

学校读者我要写书评

暂无评论

SMOTE and Hyperparameter Optimization: A Dual Machine Learning Strategy for Enhancing Coupon Recommendation in Vehicular Contexts 3

SMOTE and Hyperparameter Optimization: A Dual Machine Learni...

引用

3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Ravikumar, R.N. Jain, Sanjay Sarkar, Manash Amity University Rajasthan Dept. of Computer Science and Engineering Jaipur India Atria Institute of Technology Dept. of Computer Science and Engineering Banglore India

ISBN: (纸本)9798350319125

This study centers on enhancing the accurateness of coupon recommendation algorithms within the framework of in-vehicle settings. The In-Vehicle Coupon Recommendation dataset from the UCI Repository was utilized in this study. A range of machine learning algorithms, such as Random Forest, Gradient Boosting, Extra Trees, LightGBM, XGBoost, AdaBoost, Stochastic Gradient Descent (SGD), and CatBoost, were employed for analysis. Among the several algorithms considered, CatBoost exhibited notable performance, with a baseline accuracy of 74%. In order to improve the efficacy of the model, we utilized the 'Synthetic Minority Over-sampling Technique' (SMOTE) to mitigate the issue of class imbalance. This was subsequently followed by a thorough hyperparameter adjustment of the CatBoost algorithm. The improved model demonstrated a significant upgrade, with an accuracy rate of 77%. Additionally, there were noteworthy improvements in precision, recall, and F1 score. The AUC, which represents the Area Under the Receiver Operating Characteristic Curve, saw a notable improvement to 0.82. This signifies a noteworthy enhancement in the capacity to differentiate between positive and negative cases. The results emphasize the efficacy of CatBoost in the context of recommending coupons within vehicles, while also drawing attention to the influence of preprocessing methods and hyperparameter adjustment in enhancing the model's overall performance. This study is a valuable contribution to the domain of personalized advertising in the context of vehicles, providing valuable insights for the advancement of coupon recommendation systems that are more precise and dependable. © 2023 IEEE.

关键词： Coupon Recommendation Hyperparameter Tuning Machine Learning Recommender system SMOTE

来源：评论

学校读者我要写书评

暂无评论

Leveraging Convolutional Neural Network for Real-Time Facial Emotion Detection

Leveraging Convolutional Neural Network for Real-Time Facial...

引用

2024 International Conference on Artificial Intelligence and Emerging Technology, Global AI Summit 2024

作者： Thakur, Sujata Negi Pandey, Muskan Tiwari, Vaibhavi Graphic Era Hill University Dept. of Computer Science and Engineering Haldwani India

ISBN: (纸本)9798350379716

Facial emotion detection is a very relevant research domain, having its applications in a wide diversified field of topics that include statistical analysis, the social sciences, and computer vision. Developing methods for machines that can recognize and interpret human emotions in real-time has been revolutionary for improving human-computer interactions, enhancing security systems, and helping with substantial insights from psychological studies. In this paper, it is proposed to develop a new model of emotion recognition where emotions through facial images will be classified based on seven different emotional features. Taking grayscale photos from a dataset called fer2013, we train a Convolutional Neural Network for the purpose of identifying these emotions. As far as the approach applied in this paper is concerned, the process of emotion identification is basically divided into three major phases: face detection, feature extraction, and emotion classification. We tried different dept.s and layers of CNNs, achieving as high an accuracy as 89.98%, which has huge potential for deep learning in advancing FER technologies. The contribution with this research is to developing efforts on more intuitive and responsive AI systems that can understand and respond to human emotions in an emotional sense. © 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

A Comprehensive Survey of Blockchain Technology-Trust as a Service 3

A Comprehensive Survey of Blockchain Technology-Trust as a S...

引用

3rd International Conference on Sentiment Analysis and Deep Learning, ICSADL 2024

作者： Muthu, S. Esakki Kartheeban, K. Kalasalingam Academy of Research and Education Dept. of Computer Science and Engineering Srivilliputtur India

ISBN: (纸本)9798350396157

In today's rapidly changing digital world, security and trust remain as an essential element supporting a range of communications, transactions, and distributed systems. With the invention of blockchain technology, a trust may now be provided as 'Trust as a Service (TaaS),' a decentralized, verifiable, and essential asset rather than a centralized digital network. In a decentralized and distributed ledger network, the blocks are connected in chronological order, and information is saved using distributed ledger techniques. Since the start of the deployment, blockchain has kept a record of all transactions. This research study analyses the explores the blockchain technology and analyze how it functions as a trusted provider across a range of industries. Also, this study investigates the fundamental ideas behind blockchain, its development, and the cryptographic security systems. This research study illustrates how blockchain maintains confidence in data quality, security, transparency, and immutability across a range of applications, including banking, supply chain, healthcare, and governance. This study also emphasizes the difficulties and possibilities present in the rapidly developing blockchain ecosystem and further discusses about the issues and challenges and various blockchain attacks, solutions, and tools. Finally, the open issues and solutions are analysed. © 2024 IEEE.

关键词： Blockchain

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 << < 69 70 71 72 73 74 75 76 77 78 > >>

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：