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

30,833 篇 会议
5,143 篇 期刊文献
250 册 图书

馆藏范围

36,226 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

22,807 篇 工学
- 15,823 篇 计算机科学与技术...
- 13,311 篇 软件工程
- 5,801 篇 信息与通信工程
- 3,516 篇 控制科学与工程
- 2,697 篇 电子科学与技术（可...
- 2,676 篇 电气工程
- 2,346 篇 生物工程
- 1,879 篇 生物医学工程（可授...
- 1,557 篇 光学工程
- 1,468 篇 机械工程
- 1,335 篇 动力工程及工程热...
- 1,271 篇 仪器科学与技术
- 1,247 篇 化学工程与技术
- 1,118 篇 建筑学
- 1,093 篇 土木工程
- 1,033 篇 安全科学与工程
- 954 篇 材料科学与工程（可...
11,903 篇 理学
- 6,333 篇 数学
- 3,251 篇 物理学
- 2,603 篇 生物学
- 2,114 篇 统计学（可授理学、...
- 1,366 篇 系统科学
- 1,253 篇 化学
5,795 篇 管理学
- 3,469 篇 管理科学与工程(可...
- 2,613 篇 图书情报与档案管...
- 1,947 篇 工商管理
1,599 篇 医学
- 1,386 篇 临床医学
- 1,297 篇 基础医学(可授医学...
- 840 篇 药学(可授医学、理...
1,056 篇 法学
- 848 篇 社会学
693 篇 经济学
542 篇 农学
457 篇 教育学
156 篇 文学
78 篇 军事学
43 篇 艺术学
3 篇 哲学

主题

1,076 篇 accuracy
829 篇 feature extracti...
828 篇 computational mo...
712 篇 deep learning
676 篇 computer science
671 篇 training
513 篇 real-time system...
509 篇 support vector m...
496 篇 machine learning
442 篇 predictive model...
408 篇 internet of thin...
354 篇 convolutional ne...
349 篇 data models
340 篇 computer archite...
328 篇 reliability
312 篇 optimization
282 篇 data mining
277 篇 routing
254 篇 wireless sensor ...
249 篇 conferences

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...
75 篇 tno technical sc...
67 篇 université de st...
66 篇 università di ca...
62 篇 dept. of informa...
61 篇 nikhef national ...
59 篇 dept. of compute...
58 篇 dept. of informa...
56 篇 dept. of compute...
53 篇 leiden universit...
52 篇 school of automa...
49 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.
82 篇 kalekin o.
81 篇 chen a.
80 篇 díaz a.f.
80 篇 boumaaza j.
80 篇 coleiro a.
78 篇 gozzini s.r.
70 篇 dallier r.
69 篇 huang f.
60 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

34,185 篇 英文
1,557 篇 其他
331 篇 中文
104 篇 日文
46 篇 朝鲜文
3 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 Civil Engineering and Computer Science Engineering"

共 36226 条记录，以下是841-850 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：

IoT Based Smart Parking System 5

IoT Based Smart Parking System

引用

5th International Conference on Control, Communication and Computing, ICCC 2023

作者： Izudheen, Sminu Gokul, P.V. Joseph, Jesbin Nair, Karthik S Manu Krishnan, N.S. Rajagiri School of Engineering and Technology Dept. of Computer Science and Engineering Kochi India

ISBN: (纸本)9798350334128

The number of vehicles being used for daily commute within the cities have increased exponentially since 2015. This has caused a major concern regarding parking spaces especially in a rapidly developing cities. More than 25% of vehicles driving around the cities are looking for a parking space. Numerous issues arise as a result of poor parking infrastructure such as significant wastage of time for drivers, traffic congestion and increase in car emissions. Implementing smart technology to facilitate this task will solve this problem, improving operational efficiency, simplifying the flow of urban traffic and offering drivers a more enjoyable and time-saving experience. The proposed IoT-based smart parking system allows real-time data about parking availability to be obtained via a mobile application. An IoT gadget, which includes sensors and microcontrollers is placed in each parking space. The data from the gadget will be pushed to a cloud-based system which analyses this data to calculate the availability of free slots in parking spaces. The users receive real-time information on the availability of all parking spaces giving them the choice to choose the best one. © 2023 IEEE.

关键词： Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Machine Learning Algorithms on Finding Drinking Water Quality Based on Feature Selection Methodologies 9

Evaluation of Machine Learning Algorithms on Finding Drinkin...

引用

9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023

作者： Priya, K. Devi Sai, Sanga Monish Pagadala, Venu Gopal Reddy Kumar, Dasari Praveen Lakireddy Balireddy College of Engineering Dept. of Computer Science and Engineering Mylavaram India

ISBN: (纸本)9798350397376

Production of wastage plastics, heavy metals, pesticides from the variety of the domestic and non-domestic organizations like industries, offices, people, hospitals, agriculture etc., nearer to the surface and groundwater bodies destroyed the natural resources useful to public health. Polluted water leads to the ill health to the people and effected with several diseases. Timely monitoring of quality of the water is required for the public health. Quality of the drinking water is based on several factors like pH value, hardness, solids, chloramines. Here, analyzed the factors that decide the quality of the water using 11 AI based classifiers with feature selection techniques and evaluated performance metrics. Results shows that ensemble based random forest classifier with gradient boost feature selector produced the highest accuracy to decide the potability of the drinking water. © 2023 IEEE.

关键词： Potable water

来源：评论

学校读者我要写书评

暂无评论

An Android App Scanner for Detecting the Freshness and Age of Poultry Eggs using Image Processing

An Android App Scanner for Detecting the Freshness and Age o...

引用

2023 IEEE International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023

作者： Aniyan, Nisha Jacob, Pramod Mathew Pranav, P. Raj, Reshmi Ghosh, Gopika Suresh, Amitha Providence College of Engineering Dept. of Computer Science and Engineering Kerala Chengannur India

ISBN: (纸本)9798350397208

Grading food items based on their quality and freshness is essential for a healthy life. Quality and freshness are two incredible factors that people consider while buying food items. Quality prediction of food items like eggs is not possible by examining their appearance. Large cracks are the only defects that can be found through this observation. Traditional egg quality and freshness detection methods are destructive, time-consuming, inaccurate, and require constant monitoring. This paper proposes a model with an Android app scanner for detecting the freshness and age of poultry eggs using image processing techniques. This model can be used for checking the freshness and age of eggs by classifying them with various grades. The results of this model will be available in the Android app connected to this device. This model can be used for commercial as well as domestic usage. This model is non-destructive, time-saving, easy to use, flexible, and accurate. © 2023 IEEE.

关键词： Grading

来源：评论

学校读者我要写书评

暂无评论

A Study on Various Approaches Towards Non-Factoid Question Answering Systems 2

A Study on Various Approaches Towards Non-Factoid Question A...

引用

2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023

作者： Lakshmi, K. Sindhu, S. Nss College of Engineering Dept. of Computer Science and Engineering Kerala Palakkad India

ISBN: (纸本)9781665456302

Question Answering (QA) is a branch of Natural Language Processing (NLP) which develop systems that automatically provide answer to questions queried by humans in any natural language. Depending upon the type of question, QA systems can be both factoid and non-factoid type. There are numerous methods for retrieving answers for the input queries. Due to its complex behavior, non-factoid QA still remains a challenge to many researchers. This survey mainly focuses on works done so far in the area of non-factoid QA systems. Beginning with traditional deep learning approaches and moving towards the usage of Knowledge-Graphs (KG), this paper focuses on studying how to improve the efficiency of such QA systems. Transformer models like Bidirectional Encoder Representations from Transformers (BERT) and its variants reflect a significant improvement in QA implementation. One of the main challenges faced by those models was to answer the questions from knowledge-dependable domains. The study shows that knowledge-graphs help to address these issues to some extent. Also, it provides an analytical discussion on various approaches in non-factoid QA system implementation and how KG outperform previous methods. © 2023 IEEE.

关键词： Knowledge graph

来源：评论

学校读者我要写书评

暂无评论

Estimation of Wetland Area Change Using Sentinel-2 Satellite Images 5

Estimation of Wetland Area Change Using Sentinel-2 Satellite...

引用

5th IEEE International Conference on Electrical, computer and Communication Technologies, ICECCT 2023

作者： Annavarapu, Lalitha Anupama Popuru, Sahithi Afreen, Sk Asha Sailaja, K.L. Kumar, P. Ramesh VR Siddhartha Engineering College Dept. of Computer Science & Engineering Vijayawada India

ISBN: (纸本)9781665493604

Numerous functions, such as food supply, water supply, a means of subsistence in fishing, and recreational opportunities are provided by wetlands. Wetlands are in danger of expanding and degrading as a result of anthropogenic influences and the impact of climate change. Shoreline erosion, water pollution, and drought damage all worsen when wetlands are destroyed. Therefore, it is crucial to do a wetlands inventory in a location so that we can track or keep an eye on any changes that may have occurred over time. The monitoring of crop moisture and water bodies area like lakes and ponds are the two aims. Images used as input are gathered from the Sentinel Hub Earth Observation Browser. The input images chosen for monitoring wetland crop moisture are based on NDMI(Normalized Difference Moisture Index), whereas the input images chosen for monitoring water bodies are based on NDWI (Normalized Difference Water Index). To monitor the water bodies area, pre-processing using Gaussian blur was done followed by clustering which was done using the Fuzzy-C-Means algorithm followed by edge detection using a Canny edge detector and identifying the changes in the area of the water bodies over the previous five years using Open CV approaches. To monitor crops moisture, Clustering was carried out using the K-means clustering algorithm, the resultant image and masked image were performed bitwise AND followed by a comparison of changes in moisture percentage over the previous five years using Open CV techniques. © 2023 IEEE.

关键词： Crops

来源：评论

学校读者我要写书评

暂无评论

Window-to-Wall Ratio Optimization to Save Energy in Housing Projects in Bahrain

Window-to-Wall Ratio Optimization to Save Energy in Housing ...

引用

2024 International Conference on Decision Aid sciences and Applications, DASA 2024

作者： Awawdeh, Safa Alkhaja, Mohammed Abdelhameed, Wael Applied Science University Dept. of Civil and Architectural Engineering East Al-Ekir Bahrain

ISBN: (纸本)9798350369106

Conducting energy consumption of a design during the initial phases of architectural design has become vital for achieving sustainability. The research paper explores the energy usage in different settings of window-to-wall ratio (WWR). Three villas of a housing project in Bahrain are employed as case studies to investigate energy analysis. Qualitative and quantitative analysis of the case studies' energy analysis are conducted for different façade orientations. The research paper concludes to form basis to improve energy analysis through applying WWR in similar context and environment. © 2024 IEEE.

关键词： energy analysis energy model housing Wall window ratio

来源：评论

学校读者我要写书评

暂无评论

Using Machine Learning Algorithms in Edge Intelligence for Ultra-Reliable and Low-Latency Communications in the Industrial Metaverse 29

Using Machine Learning Algorithms in Edge Intelligence for U...

引用

29th International computer Conference, computer Society of Iran, CSICC 2025

作者： Mohammadvand, Reza Mozayani, Naser Dept. Computer Engineering Iran University of Science and Technology Tehran Iran

ISBN: (纸本)9798331523114

Given the rapid advancements in technologies such as the metaverse and digital twins, the need for effective integration of communication, computation, and storage in complex systems and edge computing environments is becoming increasingly apparent. This paper proposes an architecture to support an industrial metaverse based on digital twins that optimizes resources by leveraging mobile edge computing and ultra-reliable low-latency communication. This architecture reduces latency by employing task offloading and storage methods on nearby edge servers, meeting the precise requirements of future metaverses in terms of reliability and latency minimization. The proposed model, utilizing reinforcement learning algorithms such as Deep Q-Network (DQN), Double Deep Q-Network (DDQN), and Dueling Double Deep Q-Network (Dueling DDQN), is capable of achieving adaptability in dynamic conditions and making intelligent decisions. The simulation results demonstrate that the proposed method reduces by more than 10% on average compared to the best method available in the literature and improves resource utilization efficiency. © 2025 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Phishing Perception and Prediction 4

Phishing Perception and Prediction

引用

4th International Conference on Innovative Trends in Information Technology, ICITIIT 2023

作者： Ashwitha Noble, P. Hubert Veyannie, V. Summia Parveen, H. Sri Eshwar College of Engineering Dept. Computer Science and Engineering Coimbatore India

ISBN: (纸本)9781665494144

A practice known as URL phishing involves cybercriminals creating fake websites in order to lure victims and steal sensitive information. The attacker disguises themselves in an email, instant message, or text message, pose as a reliable source to persuade the recipient to open it. Once the recipient clicks the link, they realize they were deceived into clicking a potentially dangerous link. In this case, ransomware can be set up on the recipient's PC using a malware that can be used to lock it down or even worse the private data can be released. In spite of the fact that fraudulent websites often resemble the real thing, checking for warning signals alone is not enough to prevent URL phishing. A study found that around 90% of the data breach is due to phishing. The variety of phishing schemes has expanded over the years and they may now be more dangerous than ever before. © 2023 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Integrating Temporal Analysis with Hybrid Machine Learning and Deep Learning Models for Enhanced Air Quality Prediction 19

Integrating Temporal Analysis with Hybrid Machine Learning a...

引用

19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025

作者： Omer, Muhammad Ali, Sardar Jaffar Raza, Syed M. Le, Duc-Tai Choo, Hyunseung Dept. of Computer Science and Engineering Sungkyunkwan University Suwon Korea Republic of Dept. of AI Systems Engineering Sungkyunkwan University Suwon Korea Republic of James Watt School of Engineering University of Glasgow Glasgow United Kingdom Dept. of Electrical and Computer Engineering Sungkyunkwan University Suwon Korea Republic of

ISBN: (纸本)9798331507817

Air pollution remains a critical issue, adversely affecting public health and the environment. In this study, we utilize the Air Quality index dataset from Kaggle to analyze temporal and seasonal variations of key pollutants, specifically Carbon Monoxide (CO), Nitrogen Oxides (NOx), and Benzene (C6H6 ). Building upon this analysis, we predict Absolute Humidity (AH), a vital meteorological factor influencing pollutant dispersion, using Machine Learning (ML) and Deep Learning (DL) techniques. Three ML techniques, Linear Regression (LR), Random Forest (RF), and Support Vector Regression (SVR), and three DL techniques, Artificial Neural Network (ANN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM), are employed for predicting AH. The results indicate that while the RF model achieved the lowest Mean Absolute Error (MAE) among ML methods (0.02), the CNN model, despite having an MAE of 0.04, demonstrated statistical superiority through paired t-tests and Wilcoxon signed-rank tests (p © 2025 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Explainable AI-based Detection and Interpretation of Abnormalities in Chest X-rays 3

Explainable AI-based Detection and Interpretation of Abnorma...

引用

3rd International Conference on Intelligent Systems, Advanced Computing, and Communication, ISACC 2025

作者： Muthukumar, Sai Smrithi Gandham, Bhavika Vijayekkumaran, Trisha Jyotsna, C. Aiswariya Milan, K. Amrita School of Computing Dept. of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798331523893

Chest X-ray images are widely used in diagnosing medical conditions, however, due to radiologist fatigue and shortage of resources the possibility of spotting peculiarities increases. This work proposes an explainable AI system to identify, quantify, and explain the pathology found in chest x-ray images. It builds credibility, enhances medical judgment, and reflects efficient utilization of radiology assets. This study used ResNet for the chest X-ray image classification and compared it with other related models like EfficientNetB0, DenseNet, VGGNet, and MobileNet. ResNet had the best AUC value of 0.826 thereby garnering it the best classification accuracy hence validating its selection as the main model. Moreover, ResNet adapted explainability to provide visual and textual interpretations and to classify diseases where such actionable insights could improve the reliability of diagnosis and patient outcomes. © 2025 IEEE.

关键词： CheXpert Explainable AI Grad-CAM ResNet X-ray masks X-rays

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 << < 81 82 83 84 85 86 87 88 89 90 > >>

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：