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

11,689 篇 会议
120 篇 期刊文献
18 册 图书
1 篇 学位论文

馆藏范围

11,828 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

8,237 篇 工学
- 6,595 篇 计算机科学与技术...
- 4,136 篇 软件工程
- 1,621 篇 控制科学与工程
- 1,414 篇 电气工程
- 1,377 篇 信息与通信工程
- 1,153 篇 生物工程
- 623 篇 机械工程
- 538 篇 生物医学工程（可授...
- 439 篇 交通运输工程
- 397 篇 动力工程及工程热...
- 396 篇 电子科学与技术（可...
- 388 篇 光学工程
- 301 篇 安全科学与工程
- 240 篇 仪器科学与技术
- 233 篇 材料科学与工程（可...
- 228 篇 化学工程与技术
- 220 篇 石油与天然气工程
3,409 篇 理学
- 2,035 篇 数学
- 1,230 篇 生物学
- 585 篇 物理学
- 579 篇 统计学（可授理学、...
- 407 篇 系统科学
- 266 篇 化学
2,004 篇 管理学
- 1,424 篇 管理科学与工程(可...
- 684 篇 图书情报与档案管...
- 605 篇 工商管理
567 篇 医学
- 491 篇 临床医学
- 431 篇 基础医学(可授医学...
- 299 篇 药学(可授医学、理...
429 篇 教育学
- 424 篇 教育学
227 篇 法学
211 篇 经济学
182 篇 农学
16 篇 文学
15 篇 军事学
15 篇 艺术学
2 篇 哲学

主题

867 篇 deep learning
774 篇 machine learning
710 篇 optimization
406 篇 accuracy
323 篇 reinforcement le...
277 篇 feature extracti...
230 篇 support vector m...
223 篇 computational mo...
220 篇 predictive model...
214 篇 training
201 篇 real-time system...
182 篇 neural networks
177 篇 particle swarm o...
164 篇 genetic algorith...
158 篇 data mining
151 篇 internet of thin...
149 篇 learning systems
149 篇 artificial intel...
144 篇 data models
143 篇 machine learning...

机构

60 篇 chitkara univers...
15 篇 school of comput...
15 篇 beijing universi...
14 篇 national univers...
14 篇 the islamic univ...
12 篇 tianjin universi...
12 篇 uttaranchal inst...
12 篇 national univers...
12 篇 weifang engineer...
11 篇 college of techn...
11 篇 misr internation...
11 篇 pune
11 篇 beijing institut...
10 篇 bengaluru
10 篇 uttaranchal univ...
10 篇 school of comput...
10 篇 school of comput...
9 篇 phaethon centre ...
9 篇 maharishi school...
9 篇 school of electr...

作者

17 篇 hassanien aboul ...
16 篇 lima jose
12 篇 wang lei
12 篇 yang bo
12 篇 li bo
11 篇 pereira ana i.
11 篇 wang wei
10 篇 malik bader alaz...
10 篇 liu yan
10 篇 chen xin
9 篇 li yan
8 篇 li xin
8 篇 li yang
8 篇 wang jing
8 篇 li li
8 篇 zhang chao
8 篇 liu yang
8 篇 li hao
8 篇 li xiang
7 篇 nagaraj p.

语言

11,010 篇 英文
789 篇 其他
74 篇 中文
2 篇 西班牙文

检索条件"任意字段=3rd Conference on Learning and Intelligent Optimization"

共 11828 条记录，以下是4791-4800 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 Brain Tumour Classification Using Pre-Trained Xception Model

Efficient Brain Tumour Classification Using Pre-Trained Xcep...

引用

intelligent Data Communication Technologies and Internet of Things (IDCIoT), International conference on

作者： D. Raghava Kumari Ch.Rajendra Prasad Srinivas Samala Department of ECE SR University Warangal Telangana Department of ECE Sumathi Reddy Institute of Technology for Women Warangal Telangana Dept. of ECE SR University Warangal India Dept.of ECE SR University Warangal India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

A brain tumour is among the most lethal tumours worldwide. It exhibits the lowest survival rate and presents various varieties based on location, texture, and form. Thus, accurately determining the type and grade in the early stages is crucial to selecting an appropriate treatment strategy. The substantial volume of data and the diverse forms of brain tumors render the manual procedure time consuming and prone to human error. This research study presents a brain tumour classification using the Xception transfer learning model. The proposed Xception model is trained and tested using the Brain Tumour Image Dataset collected from Kaggle. The raw data are preprocessed before applying to transfer learning model to match its parameters. The proposed model provides a testing accuracy of 0.98 and a loss of 0.02 and shows exceptional efficiency contrasted to the existing models. In real-time, this model assists the doctor in identifying the particular brain tumor.

关键词： Training Accuracy Transfer learning Brain tumors Medical services Manuals Brain modeling Data models Real-time systems Testing

来源：评论

学校读者我要写书评

暂无评论

Deep learning based Real-time Stolen Vehicle Detection Model with Improved Precision and Reduced Look Up Time

Deep Learning based Real-time Stolen Vehicle Detection Model...

引用

intelligent Technologies (CONIT), International conference on

作者： Shaik Shafi T Pavan Sai Kumar Reddy Rohan Silla Musrath Yasmeen Dept of ECE B V Raju Institute of Technology Medak

In the recent past, the number of vehicles stolen in India has surged substantially. As per the Acko Vehicle Theft Report, in Delhi-National Capital Region (NCR), for every 12 minute a vehicle is stolen and overall Delhi-NCR accounts for more than 56% of all vehicle thefts in the country. Further, almost 3 lakh automobiles were stolen in the national capital during 2011 and 2020. While Bengaluru, India’s second-highest car theft city, accounts for 9% of vehicle theft. There exists plethora of studies for stolen vehicle tracking or detection models. The prior methods employed were time-consuming and inefficient, requiring a lot of human work to go through CCTV video recordings and trace the stolen vehicle. Some models are 96% accurate but are incapable of being employed in real time. Some are inaccurate, yet they are utilized for real-time detection. To overcome this time consuming process, a Deep learning Based Real Time Stolen Vehicle Detection Model is proposed in this paper. Our work aims to reduce the lookup time of the vehicle in CCTV footage besides the several tasks to accomplish, like vehicle and license plate detection, optical character recognition. To achieve this, a deep learning tool known as You Only Look Once (YOLO) v8 algorithm has been used for real-time object recognition in the system. In addition, TensorFlow, an open-source machine learning platform is used for vehicle number plate recognition and for image processing. Using this strategy, we can dramatically shorten the time it takes to find the stolen vehicle. Upon rigorous experiments, results showed that the proposed deep learning based real time framework is viable and can achieve decent detection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Advanced Mango Leaf Disease Detection and Severity Analysis with Federated learning and CNN

Advanced Mango Leaf Disease Detection and Severity Analysis ...

引用

intelligent Technologies (CONIT), International conference on

作者： Shiva Mehta Vinay Kukreja Rishika Yadav Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Computer Science and Engineering Graphic Era Hill University Dehradun Uttarakhand India

Worldwide mango production is threatened by mango leaf diseases, resulting in considerable financial losses. Effective illness management and reduction depend on early identification and severity level categorization. This research provides a brand-new FL-CNN model for categorizing mango leaf diseases into four severity categories. The FL-CNN model allows training to be distributed across several clients without compromising data privacy. The suggested model consistently outperforms all clients in identifying the four severity levels of mango leaf diseases. The model's efficiency across customers with various data distributions is shown using macro, weighted, and micro-averaging techniques. Client 4 had the greatest macro average (96.11), weighted average (96.09), and micro average (96.08) values, while Client 1 had the lowest macro average (93.92), weighted average (93.96), and micro average (93.96) values. These findings show that the FL-CNN model successfully recognizes and categorizes various degrees of mango leaf disease severity, making it an invaluable tool for practical agricultural applications. Utilizing federated learning provides data privacy while offering a scalable and safe method for managing plant diseases. Additionally, federated learning preserves data privacy and lessens the need for data centralization, offering a solid foundation for cooperation between many stakeholders. Future studies should focus on enhancing the model's effectiveness and accuracy and investigating whether it can predict additional plant diseases and agricultural situations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Role of Blockchain Technology in Supply chain Management for Data Security 3

The Role of Blockchain Technology in Supply chain Management...

引用

3rd IEEE International conference on Blockchain and Distributed Systems Security, ICBDS 2024

作者： Birari, Dipika R. Rathod, Vijay U. Dandavate, Aarti Shelke, Nilesh Kumar, Ranjit Kulkarni, Masira M. S Army Institute of Technology Department of Information Technology Pune India G H Raisoni College of Engineering and Management Department of Artificial Intelligent and Machine Learning Wagholi Pune India Dhole Patil College of Engineering Department of Computer Engineering Pune India Symbiosis International Deemed University Symbiosis Institute of Technology Department of Computer Science and Engineering Nagpur Campus Pune India Ajeenkya D Y Patil University Department of Computer Engineering Pune India G H Raisoni College of Engineering and Management Department of Cyber Security and Data Science Wagholi Pune India

ISBN: (纸本)9798350354348

In a traditional supply chain system, the process of producing raw materials so that a product may be delivered to a customer is a manual operation with insufficient data and transaction security. The entire process is time consuming and requires a lot of effort. The undivided process is generally ineffective and unreliable for consumers. The data security, authenticity, the inclusion of will significantly improve the time management and transaction procedures of conventional supply chain management systems. Data is shielded from illegal access via the ground-breaking, decentralized technology known as blockchain. After smart contracts are put into place, the complete supply chain management (SCM) will be satisfied with the customer. When the mediator is contracted, which is possible in various ways, the plan becomes more reliable. This article places particular emphasis on lowering third party involvement in the supply chain system and enhancing data security. Conventional supply chain management techniques have several serious shortcomings. Some of them include a lack of traceability, difficulties maintaining product safety and quality, a failure to track and manage inventories in stores and warehouses, escalating supply chain costs, and so on. The reduction of third-party involvement in the supply chain system and the improvement of data security are the main goals of this article. This enhances process accessibility, effectiveness, and timeliness overall. They will feel safer throughout the payment procedure, which is the main benefit. Yet in this investigation, a smart contract and a peer-to-peer encrypted system were both used. There are a few additional features as well. © 2024 IEEE.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Impact of machine learning in natural language processing: A review 3

Impact of machine learning in natural language processing: A...

引用

3rd International conference on intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Nagarhalli, Tatwadarshi P. Vaze, Vinod Rana, N.K. Comp. Engg. Shri JJT University Rajastan India Shri JJT University Dept. of Computer Sci and Engg. Rajastan India Theem College of Engineering Mumbai India

ISBN: (纸本)9780738111834

The recent times have seen unprecedented growth in research and development in the field of Artificial Intelligence and its allied fields, subfields, like Machine learning, Deep learning and Natural Language Processing. The new found excitement in these fields of research is the availability of high powered computing devices at a cheaper costs and the wide range of applications of these research fields. It can be safely said that in the present times there are hardly any sectors of businesses which have not been positively impacted by artificial intelligence or its subfields. Machine learning and deep learning, apart from having a positive impact on different sectors of businesses, machine learning and deep learning have also played a very important role in improving the efficiency of other subfields of artificial intelligence, including computer vision and natural language processing. Natural Language Processing is the ability of computer systems to understand human languages, which is a difficult task where these learning techniques has played a very important role in proper analysis. The paper proposes to highlight this important role played by the learning techniques in improving the efficiency of natural language processing. © 2021 IEEE.

关键词： Efficiency

来源：评论

学校读者我要写书评

暂无评论

Enhanced Tuberculosis Detection Using Deep learning and GAN Data Augmentation Techniques for Chest x-Ray Analysis

Enhanced Tuberculosis Detection Using Deep Learning and GAN ...

引用

intelligent Data Communication Technologies and Internet of Things (IDCIoT), International conference on

作者： Varun Reddy Chaykam Avinash Reddy Koduru Karthick S C. Arun Department of Computational Intelligence SRM Institute of Science and Technology Chennai India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

With around 1.6 million deaths yearly, primarily in low-resource environments, abstract-tuberculosis (TB) is a serious worldwide health issue. While human analysis can be error-prone and labor-intensive, early discovery using chest X-rays is vital. We used advanced machine learning methods including a mix of Histogram of Oriented Gradients (HOG) and Convolutional Neural Networks (CNN), alongside Deep Convolutional Generative Adversarial Networks (DCGANs) to create synthetic TB images, so helping to balance the dataset and reduce class imbalance. We applied explainable artificial intelligence (XAI) methods including LIME and Grad-CAM for greater interpretability in order to improve model transparency. The outcomes showed notable progress; our hybrid model obtained a stunning 99.5% diagnosis accuracy. With respective accuracy of 96.87% and 94.67%, models such as Xception and MobileNetV2 also fared rather well. Especially in resource-limited healthcare settings, this study provides a consistent and interpretable strategy for tuberculosis screening.

关键词： Deep learning Accuracy Tuberculosis Explainable AI Generative adversarial networks Data models Convolutional neural networks Reliability X-ray imaging Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

Industrial Control intelligent Operation and Maintenance System Based on Zigbee Wireless Communication Technology 3

Industrial Control Intelligent Operation and Maintenance Sys...

引用

3rd International conference on Artificial Intelligence and Advanced Manufacture, AIAM 2021

作者： Fan, Jiaqi College of Electronic and Information Southwest Minzu University Sichuan Chengdu China

ISBN: (纸本)9781665417327

In order to solve a series of problems of the existing industrial control equipment based on the traditional operation and maintenance system, based on Zigbee networking technology, artificial intelligence and heartbeat detection technology, a set of intelligent operation and maintenance management system of automated industrial control system has been constructed. Through the mutual detection of equipment network and hardware, data analysis and machine learning, the shortcomings of traditional operation and maintenance systems are supplemented, and the cost of manpower and material resources for maintaining equipment and testing equipment operation status is reduced. Improve the reliability of industrial automation operation and maintenance. © 2021 IEEE.

关键词： Zigbee

来源：评论

学校读者我要写书评

暂无评论

Improving Load Profile Through Optimal Load Scheduling Using Genetic Algorithms

Improving Load Profile Through Optimal Load Scheduling Using...

引用

International conference on Advanced Electrical Engineering (ICAEE)

作者： Rihab Belhabri Sid-Ahmed Zidi Samir Hadjeri Halima Boubekeur Electrical Engineering Department Intelligent Control & Electrical Power Systems Laboratory (ICEPS) Djillali Liabès University Sidi-bel-abbés Algeria

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349368

This paper presents an innovative methodology based on a Genetic Algorithm (GA) to optimize Demand-Side Management (DSM) in the energy domain. The proposed approach utilizes a GA to analyze appliance consumption profiles and identify load shifting opportunities for controllable appliances from peak hours to off-peak hours, defined by Demand Response (DR) programs such as Time-of-Use (TOU) pricing. This optimization enables the reduction of electricity consumption during peak hours, lowers consumer bills, and improves the efficiency of the power grid, contributing to more sustainable and economical energy management.

关键词： Electrical engineering Energy consumption Costs Electricity Pricing Scheduling Power grids Energy efficiency optimization Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Smart Grid Resource Scheduling Algorithm Based on Reinforcement learning for Edge Computing

Smart Grid Resource Scheduling Algorithm Based on Reinforcem...

引用

Computer Technology and Information Science (ISCTIS), International Symposium on

作者： Ran Zhao Jiaming Mao Jinghang Yu Lei Fan Information and Telecommunication Branch State Grid Jiangsu Electric Power Co. Ltd. Nanjing China State Grid Jiangsu Electric Power Co. Ltd. Nanjing China

Smart grid is a power system that enables intelligent management and optimization. Network virtualization technology can effectively improve the resource utilization and reliability of smart grid and meet the differentiated needs of different users. In the case of limited resources, traditional virtual network mapping algorithms cannot dynamically adjust the allocation and mapping of virtualized resources based on the resource usage and user demands of the power system. To address this issue, we combined edge computing and virtualization technology, and introduced a reinforcement learning-based virtual network resource scheduling algorithm. Simulation results show that our virtual resource scheduling algorithm performs better than the other three scheduling algorithms in improving the reliability and resource utilization of the power grid.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep learning-based Alzheimer's disease prediction for smart health system

Deep learning-based Alzheimer's disease prediction for smart...

引用

The 3rd International conference on Distributed Sensing and intelligent Systems (ICDSIS 2022)

作者： S. Hlawa N. B. Romdhane Higher Institute of Computer Science and Communication Techniques of Hammam Sousse 4011 University of Sousse Tunisia

Smart Health (s-Health) is used in improving healthcare by providing many services such as patient monitoring and early diagnosis of diseases. In this context, Alzheimer's disease (AD) begins years before the first clinical symptoms emerge. Early diagnosis is essential to ensure adequate patient care. This work aims to propose a new method to predict this disease. Our method is based on deep learning which combines the techniques of data augmentation, the pretrained “VGG-16” model and transfer learning. In order to evaluate the performance of our method, we conducted a series of experiments on Kaggle Alzheimer's dataset. The proposed solution offers an accuracy rate of 91.75%.

关键词： deep learning (artificial intelligence) diseases health care patient care patient monitoring

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 << < 476 477 478 479 480 481 482 483 484 485 > >>

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：