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

17,168 篇 会议
2,555 篇 期刊文献
141 册 图书

馆藏范围

19,864 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

11,635 篇 工学
- 7,838 篇 计算机科学与技术...
- 6,564 篇 软件工程
- 3,354 篇 信息与通信工程
- 1,984 篇 控制科学与工程
- 1,795 篇 电子科学与技术（可...
- 1,758 篇 电气工程
- 1,230 篇 生物工程
- 1,060 篇 生物医学工程（可授...
- 897 篇 光学工程
- 808 篇 机械工程
- 767 篇 动力工程及工程热...
- 732 篇 仪器科学与技术
- 596 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...
5,935 篇 理学
- 3,007 篇 数学
- 1,841 篇 物理学
- 1,357 篇 生物学
- 998 篇 统计学（可授理学、...
- 703 篇 系统科学
- 599 篇 化学
2,903 篇 管理学
- 1,826 篇 管理科学与工程(可...
- 1,241 篇 图书情报与档案管...
- 938 篇 工商管理
943 篇 医学
- 810 篇 临床医学
- 756 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...
569 篇 法学
- 461 篇 社会学
354 篇 经济学
259 篇 农学
208 篇 教育学
88 篇 文学
48 篇 军事学
12 篇 艺术学
1 篇 历史学

主题

693 篇 accuracy
501 篇 deep learning
453 篇 feature extracti...
413 篇 computational mo...
354 篇 support vector m...
352 篇 real-time system...
310 篇 training
305 篇 internet of thin...
273 篇 machine learning
245 篇 predictive model...
240 篇 convolutional ne...
219 篇 reliability
215 篇 optimization
209 篇 computer science
208 篇 computer archite...
193 篇 neural networks
185 篇 wireless communi...
176 篇 routing
172 篇 throughput
163 篇 data mining

机构

84 篇 institut univers...
82 篇 north-west unive...
82 篇 national centre ...
81 篇 tno technical sc...
80 篇 nikhef national ...
79 篇 infn sezione di ...
76 篇 infn sezione di ...
75 篇 université de st...
73 篇 university würzb...
70 篇 university of jo...
66 篇 università di ca...
58 篇 university moham...
57 篇 ncsr demokritos ...
52 篇 leiden universit...
51 篇 dept. of compute...
50 篇 school of automa...
50 篇 university moham...
43 篇 in2p3 lpc campus...
42 篇 infn lnf via enr...
41 篇 université de ha...

作者

85 篇 ferrara g.
85 篇 ardid m.
84 篇 calvo d.
83 篇 gal t.
83 篇 bozza c.
81 篇 chen a.
81 篇 kalekin o.
81 篇 díaz a.f.
81 篇 boumaaza j.
80 篇 coleiro a.
80 篇 gozzini s.r.
80 篇 dallier r.
77 篇 anguita m.
75 篇 boettcher m.
72 篇 aly z.
72 篇 enzenhöfer a.
71 篇 huang f.
67 篇 celli s.
60 篇 dornic d.
55 篇 carretero v.

语言

17,320 篇 英文
2,286 篇 其他
193 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 19864 条记录，以下是881-890 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 Model for Multiview classification for diagnosis of Brain Tumors.

Efficient Model for Multiview classification for diagnosis o...

引用

2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary technology Management, IC-RVITM 2023

作者： Anil Kumar, B. Chandrakala, B.M. Shruthi, B.V. Rv Institute of Tech & Management Dept of Computer Science & Engineering Bangalore India Dayananda Sagar College of Engineering Dept of Information Science & Engineering Bengaluru India Nitte Meenakashi Institute of Technology Dept of Computer Science & Engineering Bangalore India

ISBN: (纸本)9798350306088

Brain tumors are caused mainly by DNA abnormalities, which result in aberrant cell division, prolonged cell lifespans, and the creation of aggregative masses inside the brain. Such tumors prevent the brain from operating at its best, sometimes resulting in long-term problems. These tumors' genesis (primary or secondary) and malignancy (benign or malignant) are used to classify them. While some might not be immediately lethal, their growth or contact with healthy brain tissue might cause damage. Investigations into various approaches, such as conventional medical imaging and artificial intelligence (AI), mainly using deep learning (DL) and transfer learning (TL), is prompted by efforts to identify and categorize brain tumors. Implementing the EfficientNetB0 model, which is famous for its adaptability and efficacy, is an excellent demonstration of this strategy. This work uses a well-curated dataset of 3264 photos from various classes to closely analyze the use of the EfficientNetB0 TL model to identify and classify brain tumors from MRI scans. The model's adaptability and accuracy are meticulously examined using a dual-pronged strategy incorporating transfer learning and fine-tuning, yielding an astounding accuracy of 98.5%. Accuracy and loss charts illustrate the model's learning development in vivid detail, and a well-defined confusion matrix provides extensive insights into categorization effectiveness across various tumor classifications. The achievement of a 98.5% accuracy rate highlights the potential paradigm change made possible by AI and TL in the diagnosis and classification of brain tumors. This accomplishment confirms the efficacy of such sophisticated procedures and promises to speed up diagnosis, enable prompt therapies, and improve patient prognoses. The combination of AI and TL heralds a new era of precision medicine, ready to reshape the field of brain tumor care as research in this area grows. © 2023 IEEE.

关键词： Brain

来源：评论

学校读者我要写书评

暂无评论

Analysis of Prediction of Pneumonia from Chest X-ray images using CNN and Transfer Learning 5

Analysis of Prediction of Pneumonia from Chest X-ray images ...

引用

5th IEEE International Conference for Emerging technology, INCET 2024

作者： Vinay, K. Shashanka Kodipalli, Ashwini Swetha, P. Kumaraswamy, S. Dept. of Computer Science and Engineering Global Academy of Technology Karnataka Bengaluru India Dept of Artificial Intelligence and Data Science Global Academy of Technology Karnataka Bengaluru India

ISBN: (纸本)9798350361155

A good design for image classification problems is the CNN architecture you presented, which consists of 5 convolution blocks followed by 4 fully connected layers. From the input X-ray images, the convolutional blocks extract pertinent features, and the fully connected layers assist in determining the final classification based on those learned features. You have integrated various approaches to improve the performance of your model. The inputs to each layer are normalized through batch normalization, which can speed up training and enhance generalization. By removing certain neurons at random during training, dynamic dropout helps avoid overfitting. L2 regularization weight decay and learning rate decay are two efficient strategies for preventing overfitting and enhancing the model's capacity to expand to new data. Popular optimization algorithm Adam optimizer effectively neural network training. For binary classification problems like the diagnosis of pneumonia, the loss function for binary Cross-Entropy is the best option. To determine your model's efficacy, you must validate it using benchmark datasets that are available to the general public. You can evaluate your model's effectiveness by comparing its performance to that of current methods by conducting experimental investigations on these datasets. Your model performs well as evidenced by accuracy scores of 90.93%, 89.17% for multi-class classification and binary classification. tasks. Automated methods, such as the one you suggested, might help medical practitioners recognize pneumonia and spot diseased spots in chest X-ray pictures. However, it's crucial to remember that automated systems shouldn't take the place of professional radiologists' and doctors' skills and judgment;rather, they should be used as supportive tools. Medical To ensure accurate diagnosis and suitable patient care, specialists should always review and interpret the system's data. It's also crucial to take into account potential drawback

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Health Care Data Mining using Intelligent Classification Techniques 5

Health Care Data Mining using Intelligent Classification Tec...

引用

5th IEEE International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2023

作者： Antil, Jyoti Rishi, Rahul Sharma, Sonia Yadav, Rajkumar University Institute Of Engineering And Technology Mdu Dept. Of Computer Science Engineering Hrayana Rohtak India University Institute Of Engineering And Technology Mdu Dept. Of Electronic And Communication Engineering Hrayana Rohtak India

ISBN: (纸本)9798350330861

Classification models can be learned from complicated multivariate temporal data and this is a topic we investigate in electronic health record systems. The difficulty is to come up with a collection of attributes that accurately reflect the data's temporal nature. Using temporal abstractions and pattern mining, we extract the classification features from the data. There are frequently a lot of temporal patterns that aren't related to the classification job that are returned by temporal pattern mining. © 2023 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Methods Analysis for Indian Currency Counterfeiting 14

Machine Learning Methods Analysis for Indian Currency Counte...

引用

14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023

作者： Prathibha, T. Prakash, H.N. Padmajadevi Rajeev Institute of Technology Department of Computer Science and Engineering Hassan India Dept. of CSE Rajeev Institute of Technology Department of Computer Science and Engineering Hassan India Malnad College of Engineering Department of Electronics and Communication and Engineering Hassan India

Imitation of currency made with the intention of misleading people is referred to as counterfeit money. One of the risks that harms a country's economy and so slows global growth is counterfeit money. Producing counterfeit money or creating false features for currency is illegal activity, which needs to be properly analysed. Demonetization resulted in an unexpected inflow of fake currency into banks, which in turn lead an increase in doubtful activities. The review focused on the methodology used to detect counterfeit currency, as well as the success rate of each method. Numerous fake currency detection strategies offered by different researchers are presented in the study. This paper discusses the challenge of determining whether or not a particular sample of cash is fake or real. There are various conventional strategies and methods to detect illegal currency based on the basic features like colors, width, and serial numbers specified on the currency. As per the comparative survey analysis KNN and regression methods will give good accuracy for identifying the fake currency. © Grenze Scientific Society, 2023.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

A Preprocessing Method for Security-Constrained Unit Commitment with AC Power Flows

A Preprocessing Method for Security-Constrained Unit Commitm...

引用

2025 IEEE Texas Power and Energy Conference, TPEC 2025

作者： Li, Mingze Ren, Weihang Fan, Lei Guan, Yongpei University of Houston Dept. of Electrical and Computer Engineering TX United States Engineering Technology University of Houston TX United States University of Florida Dept. of Industrial and Systems Engineering FL United States

ISBN: (纸本)9798331541125

This paper presents a preprocessing method to solve the security-constrained unit commitment with AC power flows (SCUC-ACPF), which is a large scale mixed-integer non-convex, nonlinear optimization problem. We introduce clustering algorithms and local search to reduce problem complexity, and obtain local optimal solutions within limited solving time and computational capacity. The clustering algorithms group buses into manageable clusters centered around core buses, creating smaller sub-grids for efficient optimization. The local search algorithms iteratively explore and improve solution quality. Our method ensures balanced clusters that respect physical and operational constraints, significantly enhancing optimization efficiency and contributing to more effective grid management and operation. © 2025 IEEE.

关键词： AC power flow clustering local search Unit commitment

来源：评论

学校读者我要写书评

暂无评论

Development of a Predictive IoT-Based System for Real-Time Air Quality Monitoring and Route Optimization 6

Development of a Predictive IoT-Based System for Real-Time A...

引用

6th International Conference on Advancements in Computing, ICAC 2024

作者： Inthikhaff, M.I.M. Rimas, M.J.M. Kumari, J.M.D. Pasan, M.G.R. Kahandawaarachchi, K.A.D.C.P. Wijesiri, M.P.M. Sri Lanka Institute of Information Technology Dept. of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Dept. of Computer Systems Engineering Malabe Sri Lanka

ISBN: (数字)9798331517878

ISBN: (纸本)9798331517878

Sri Lanka faces significant air pollution challenges, primarily from vehicular emissions, posing serious public health risks and impacting the quality of life. To address this, we developed a real-time air quality monitoring system that visualizes pollution data through an interactive heatmap. Our system integrates gas sensors that measure methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), sulfur dioxide (SO2), nitrogen dioxide (NO2), and particulate matter (PM.), connected to an ESP32 board and Wi-Fi module, and strategically deployed around smart buildings. The collected data is transmitted to a central hub using IoT technology and visualized on a mobile app developed with Flutter, featuring a color-coded scheme to represent pollution levels. This allows users to easily identify high-risk areas and select cleaner routes for travel. In testing, we focused on predicting PM. concentrations in Colombo using machine learning models, including Random Forest, XGBoost, and Prophet. Random Forest excelled in PM. prediction, while Prophet was highly effective for CO, demonstrating machine learning's potential in air quality forecasting. The system also includes a MIMI Air device that collects, processes, and transmits air quality data every 30 seconds, alerting users in real-time when pollutants exceed WHO thresholds, providing a cost-effective, reliable solution for public health. © 2024 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of the Performance of Real time databases and Big data Analytics Frameworks 7

A Comparative Study of the Performance of Real time database...

引用

7th International Multi-Topic ICT Conference: IMTIC 2023

作者： Mustafa, Syed Muhammd Nabeel Farooq, Muhammad Umer Zehra, Syeda Sundus Noronha, Jospeh Peter Terenece Ned University of Engineering and Technology Dept. of Computer Science & I.T Karachi Pakistan Sir Syed University of Engineering and Technology Dept. of Software Engineering Karachi Pakistan

ISBN: (纸本)9798350338461

The amelioration of information technology and the infiltration of it almost all the sectors of world have resulted in massive efflux of data. The rampant increase in the generation of data has introduced to a new term called, Big data. Big data is letting industry set the pace of future research and development. The need rose to further refine the data and get most out of it. Scientists and researchers performed analytic on the Big data to analyze it for patterns and behaviors hidden inside the data. Big data analytics aid in understanding the data through various tools, algorithms and frameworks. It allows stakeholders to make business plans and strategies according to the revelations from data. There are various tools and technologies available to perform analytics on the data. The most popular among scientists and researchers are real-time database and Big data analytics frameworks. In the paper, we evaluate the performance of the tools and technologies of Big data analytics. Mongodb and Firebase are real-time databases implemented in this study and Impala and Hive are the BDA frameworks. The parameter to perform the comparison is the query execution time. It is found out that Impala and Hive gave lesser execution time than Mongodb and Firebase. The query execution time of Impala on 50 mb dataset and 100 mb dataset was recorded to be 4 ms and 14 ms respectively. Hence, Big data Analytics Frameworks are better performing analytics tools for Big data Analytics. © 2023 IEEE.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Wandering Strategy-Sand Cat Swarm Optimization-Based Energy Efficient Underwater Wireless Sensor Network 2

Wandering Strategy-Sand Cat Swarm Optimization-Based Energy ...

引用

2nd International Conference on Distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Habelalmateen, M.I. Sravankumar, B. Keirolona Safana Seles, J. Phadke, Rekha Indupalli, Tabitha The Islamic University Najaf Iraq Vaagdevi College of Engineering Warangal India Karunya Institute of Technology and Sciences Department of Computer Science and Engineering Coimbatore India Nitte Meenakshi Institute of Technology Dept of Ece Bengaluru India Department of Computer Science and Engineering Griet Telangana Hyderabad India

ISBN: (纸本)9798350382952

Underwater Wireless Sensor Network (UWSN) includes a numerous number of sensors positioned in oceans and rivers to observe in underwater environment. Though, underwater sensors are limited for energy and that is tedious for replacing a battery, resulted in energy efficient is main problem. For clustering and routing, in this research proposed a Wandering Strategy - Sand Cat Swarm optimization (WS-SCSO) algorithm which enhanced network lifetime. The WS-SCSO algorithm selects the appropriate Cluster Head (CH) for network and then generates a cluster. Then, by using WS-SCSO algorithm identifies a suitable route for nodes that transmits a data. The proposed algorithm enhances a network lifetime with less energy consumption. The evaluation metrics used to evaluate proposed algorithm are alive nodes, dead nodes, total energy consumption and packet delivery ratio. The proposed algorithm attained less energy consumption of 3% at 200 rounds, 7% at 400 rounds, 18% at 600, 31% at 800 rounds and 55% at 1000 rounds which is effective than previous optimization algorithms like Improved Metaheuristics based Clustering with Multihop Routing protocol (IMCMR-UWSN). © 2024 IEEE.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study in Pedestrian Detection for Autonomous Driving Systems

A Comparative Study in Pedestrian Detection for Autonomous D...

引用

2022 OPJU International technology Conference on Emerging Technologies for Sustainable Development, OTCON 2022

作者： Ramchandani, Monica Sahu, Satya Prakash Dewangan, Deepak Kumar National Institute of Technology Dept. of Information Technology Raipur India Tiet Dept. of Computer Science and Engineering Punjab India

ISBN: (纸本)9781665492942

technology development has altered how people live. Intelligent vehicles are being developed as a result of technological advancements in the automobile industry. Pedestrians are the most vulnerable road users, accounting for more than half of all traffic fatalities. Thus, the key thing to take into account is pedestrian detection. In order to safeguard both drivers and pedestrians, an intelligent vehicle system can detect pedestrians in front of moving vehicles and either loudly warn the driver of the risk or automatically slow down the vehicle. The purpose of this study is to examine different sensor-based pedestrian detection techniques, weigh their benefits and drawbacks, and determine how they may be enhanced to make them more useful in real-world situations. Radar, vision sensors, and LiDAR are the mechanisms employed. This study analyses the datasets utilized in the research and identifies numerous state-of-the-art methodologies. © 2023 IEEE.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Envisioning Revolutionary Technological Changes: The Future Terrain of Fuzzy Logic 2

Envisioning Revolutionary Technological Changes: The Future ...

引用

2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Chalamalasetty, Sarvani Bikku, Thulasi Mukherjee, Papiya Tyagi, Nitin Kesarwani, Jyoti Kesharwani, Abhishek Kl University Koneru Lakshmaiah Education Foundation Vaddeswaram Dept of Computer Science and Engineering Andhra Pradesh Guntur India Amrita School of Computing Amrita Vishwa Vidyapeetham Dept of Computer Science and Engineering Andhra Pradesh Amaravati India Dronacharya Group of Institutions Dept of Computer Science and Engineering Uttar Pradesh Gr. Noida India Gl Bajaj Institute of Technology & Management Dept of Computer Science and Engineering Uttar Pradesh Greater Noida India United College of Engineering and Research Upsidc Industrial Area Naini Dept of Computer Science and Engineering Uttar Pradesh Prayagraj India Abes Engineering College Dept of Computer Science Uttar Pradesh Ghaziabad India

ISBN: (纸本)9798350371055

The realm of intelligent systems empowers the development of applications that play a vital role in our real-world scenarios. Fuzzy logic, a valuable asset in contemporary times, finds application across diverse industries. This research aims to delve into the trends of fuzzy logic, examining current advancements through the application of fuzzy theory and computational capabilities. Additionally, the study offers recommendations for future research endeavors. The survey culminates with insights into potential design and development considerations for the future. © 2024 IEEE.

关键词： Artificial Intelligence Fuzzy Logic Intelligent 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 << < 85 86 87 88 89 90 91 92 93 94 > >>

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：