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

191,938 篇 会议
1,973 册 图书
1,433 篇 期刊文献
8 篇 学位论文
2 篇 科技报告

馆藏范围

195,355 篇 电子文献
4 种 纸本馆藏

日期分布

学科分类号

111,927 篇 工学
- 86,613 篇 计算机科学与技术...
- 63,779 篇 软件工程
- 30,642 篇 信息与通信工程
- 14,723 篇 控制科学与工程
- 12,639 篇 电气工程
- 10,398 篇 生物工程
- 8,351 篇 电子科学与技术（可...
- 7,746 篇 机械工程
- 7,401 篇 生物医学工程（可授...
- 5,717 篇 仪器科学与技术
- 5,138 篇 光学工程
- 4,751 篇 动力工程及工程热...
- 4,547 篇 安全科学与工程
- 4,430 篇 网络空间安全
- 3,909 篇 化学工程与技术
- 3,762 篇 交通运输工程
43,474 篇 理学
- 23,768 篇 数学
- 11,210 篇 生物学
- 9,444 篇 物理学
- 7,277 篇 统计学（可授理学、...
- 5,280 篇 系统科学
- 4,058 篇 化学
32,618 篇 管理学
- 19,840 篇 管理科学与工程(可...
- 15,303 篇 图书情报与档案管...
- 9,771 篇 工商管理
6,880 篇 医学
- 5,810 篇 临床医学
- 5,438 篇 基础医学(可授医学...
- 3,266 篇 药学(可授医学、理...
5,399 篇 法学
- 4,407 篇 社会学
3,675 篇 经济学
- 3,619 篇 应用经济学
3,255 篇 教育学
2,631 篇 农学
1,510 篇 文学
536 篇 军事学
385 篇 艺术学
16 篇 历史学
13 篇 哲学

主题

9,521 篇 cloud computing
6,203 篇 computational mo...
4,700 篇 information tech...
4,650 篇 feature extracti...
4,047 篇 accuracy
3,588 篇 training
3,537 篇 data mining
3,485 篇 computer archite...
3,413 篇 image coding
3,270 篇 internet of thin...
3,168 篇 security
2,982 篇 servers
2,953 篇 mobile computing
2,915 篇 computer science
2,890 篇 protocols
2,698 篇 machine learning
2,680 篇 deep learning
2,549 篇 real-time system...
2,532 篇 educational inst...
2,458 篇 wireless sensor ...

机构

630 篇 university of ch...
556 篇 institute of com...
382 篇 school of comput...
291 篇 chitkara univers...
244 篇 maharishi school...
224 篇 university of sc...
187 篇 department of co...
169 篇 faculty of infor...
152 篇 department of co...
150 篇 faculty of compu...
143 篇 school of comput...
143 篇 department of co...
142 篇 lovely professio...
134 篇 key laboratory o...
127 篇 shenyang institu...
118 篇 maharishi school...
105 篇 school of inform...
102 篇 state key labora...
100 篇 institute of inf...
99 篇 college of infor...

作者

108 篇 lei wang
98 篇 wang lei
98 篇 leonard barolli
76 篇 yang yang
75 篇 wang wei
73 篇 zhang tao
67 篇 jian wang
65 篇 china
60 篇 wei wang
59 篇 rui wang
53 篇 bin wang
51 篇 li wei
50 篇 liu yang
48 篇 li cheng
47 篇 feng liu
47 篇 zhang lin
46 篇 xiao liu
44 篇 bastieri d.
42 篇 yongdong zhang
42 篇 yang liu

语言

190,586 篇 英文
3,413 篇 其他
1,975 篇 中文
19 篇 俄文
10 篇 法文
5 篇 阿拉伯文
3 篇 西班牙文
3 篇 葡萄牙文
3 篇 乌克兰文
2 篇 德文

检索条件"任意字段=International Conference on Information Technology - Coding and Computing"

共 195356 条记录，以下是591-600 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：

Next-Gen Dermatology: Revolutionizing Dermatological Diagnostics with AI and Emergency Care Solutions 3

Next-Gen Dermatology: Revolutionizing Dermatological Diagnos...

引用

3rd international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Yashas, D. Kashyap, M. Shivani Charan, P.R. Hemanth Kumar, G.P. Abhishek, B.K. Deekshith, C. New Horizon College of Engineering Dept of Artificial Intelligence and Machine Learning Bengaluru India New Horizon College of Engineering Dept of Information Science and Engineering Bengaluru India Bnm Institute of Technology Dept of Artificial Intelligence and Machine Learning Bengaluru India Siddaganga Institute of Technology Dept of Artificial Intelligence and Data Science Tumkur India Vidyavardhaka College of Engineering Dept of Computer Science and Engineering Mysore India

ISBN: (纸本)9798331515911

Skin health conditions should be diagnosed and treated on time so as to prevent complications and promote better health results. This paper presents an AI-based system that makes use of Convolutional Neural Networks with the InceptionV3 Architecture for predicting skin diseases at higher levels. The model, which is based on the large DermaNet dataset, classifies skin disorders fast and effectively. The system is coupled with a simple Telegram based application for the users to get a complete solution. A user can upload a photo of the affected skin area and get a diagnosis within seconds, an explanation of the disease and how severe it is in percentage. The bot also has a location and contact sharing feature that assists users in finding nearby doctors and clinics that can provide further assistance. It further provides on the spot appropriate cures for the particular condition diagnosed. Moreover, this makes it possible for the customer to fill the healthcare void in particular the neglected ones by making it easy for them to access real time high quality services. By equipping users with relevant information and appropriate actions required at the right time, this project has showcased how AI has the ability to transform the dermatological field. © 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

A reliable energy-efficient routing algorithm for WBAN using centrality measure

A reliable energy-efficient routing algorithm for WBAN using...

引用

international conference on Innovation and Technological Advances for Sustainability, ITAS 2023

作者： Ameen, Shayan Ahmed, Ghufran Malik, Rauf Shams Siddiqui, Shahbaz Kariz Kamal, Muhammad Akhunzada, Adnan Karachi Pakistan College of Computing and Information Technology University of Doha for Science and Technology Doha Qatar

ISBN: (纸本)9781032803722

WBAN (Wireless body area networks) have enabled continuous real-time monitoring of health professionals and patients. For example, monitoring blood pressure and other biological indicators can help predict heart attacks. Real-time applications require constant communication between source and destination sensor nodes. Developing real-time applications while maintaining the energy of the critical sensor nodes is difficult due to the dynamic network architecture of WBAN. To improve the network lifetime, throughput in terms of energy-efficient routing protocol in WBAN will play a vital role with the help of identifying the critical nodes in WBAN. In this study, we proposed an energy-efficient SDWBAN (Software define-Wireless body area network) routing algorithm with the help of identifying the critical nodes and comparing them with the existing solutions. To determine the essential nodes of WBAN, we used the centrality measure. © 2025 The Author(s).

关键词： Routing algorithms

来源：评论

学校读者我要写书评

暂无评论

AGCL: Aspect Graph Construction and Learning for Aspect-level Sentiment Classification 31

AGCL: Aspect Graph Construction and Learning for Aspect-leve...

引用

31st international conference on Computational Linguistics, COLING 2025

作者： Jian, Zhongquan Wu, Daihang Wang, Shaopan Wang, Yancheng Yao, Junfeng Wang, Meihong Wu, Qingqiang Institute of Artificial Intelligence Xiamen University China School of Informatics Xiamen University China School of Film Xiamen University China College of Management Mahidol University Thailand School of Computing and Data Science Xiamen University Malaysia Malaysia Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan Ministry of Culture and Tourism Xiamen University China Xiamen Key Laboratory of Intelligent Storage and Computing School of Informatics Xiamen University China

ISBN: (纸本)9798891761964

Prior studies on Aspect-level Sentiment Classification (ALSC) emphasize modeling interrelationships among aspects and contexts but overlook the crucial role of aspects themselves as essential domain knowledge. To this end, we propose AGCL, a novel Aspect Graph Construction and Learning method, aimed at furnishing the model with finely tuned aspect information to bolster its task-understanding ability. AGCL's pivotal innovations reside in Aspect Graph Construction (AGC) and Aspect Graph Learning (AGL), where AGC harnesses intrinsic aspect connections to construct the domain aspect graph, and then AGL iteratively updates the introduced aspect graph to enhance its domain expertise, making it more suitable for the ALSC task. Hence, this domain aspect graph can serve as a bridge connecting unseen aspects with seen aspects, thereby enhancing the model's generalization capability. Experiment results on three widely used datasets demonstrate the significance of aspect information for ALSC and highlight AGL's superiority in aspect learning, surpassing state-of-the-art baselines greatly. Code is available at https://***/jian-projects/agcl. © 2025 Association for Computational Linguistics.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

An efficient multi-modal fusion bird's-eye view 3D object detection algorithm 5

An efficient multi-modal fusion bird's-eye view 3D object de...

引用

5th international conference on Signal Processing and Computer Science, SPCS 2024

作者： Zheng, Ke Li, Qingxia Zhao, Chunsheng Tian, Chuanyin CATARC Intelligent & Connected Technology Co. Ltd. Tianjin300393 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

At present, the perception method based on bird's-eye view has become the mainstream of autonomous driving perception. It realizes comprehensive perception of the vehicle's surrounding environment by fusing multiple sensors at the feature level. However, the existing multi-modal fusion perception methods based on bird's-eye view usually require extremely high computing resources, especially in the multi-camera view image conversion processing. In addition, the key to multi-modal bird's-eye view perception lies in how to efficiently fuse point cloud features and image features. To address these defects, this paper proposes a novel multi-modal bird's-eye view perception algorithm. First, this paper proposes an index lookup calculation method for the conversion of multi-view image features to bird's-eye view perspective. This method greatly reduces the consumption of computing resources without basically reducing information. Secondly, this paper proposes a feature fusion method, which uses a cross-modal attention mechanism to enhance the interaction between different modal features, realize dynamic spatiotemporal alignment and fusion. Experimental results show that the method proposed in this paper can effectively perceive the environment and can be deployed on a real vehicle platform for real-time detection. © 2025 SPIE.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

An Improved Dual-Path Attention Mechanism with Enhanced Discriminative Power for Asset Comparison Based on ResNet50 5

An Improved Dual-Path Attention Mechanism with Enhanced Disc...

引用

5th international conference on Advances in Electrical, Electronics and computing technology, EECT 2025

作者： Jing, Ying Zhang, Li School of Computer Science Beijing Information Science and Technology University Beijing China School of Management Science and Engineering Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9798331541545

With the wide application of deep convolutional neural networks (CNNs), higher requirements are put forward for feature extraction and discriminant ability in asset comparison tasks. The rapid development of CNNs has significantly promoted the performance improvement of computer vision tasks, in which ResNet50, as the mainstream feature extraction network, effectively alleviates the problem of gradient disappearance in deep networks by means of residual learning. However, despite ResNet50's excellent performance in many visual tasks, there is still room for improvement in the effectiveness of feature expression and the mechanism of attention to key areas in response to changes in complex scenes. Therefore, this paper puts forth a new network architecture with improved dual-path attention mechanism and discriminative feature enhancement module based on ResNet50 (DADF-ResNet50). This method strengthens important features in channel and spatial dimensions respectively through the improved dual-path attention mechanism to improve the model's focusing ability on key asset areas. At the same time, the discriminating power enhancement module further optimizes the distinguishing ability of features and effectively improves the feature comparison performance between different assets. We design and implement the network architecture of this approach and evaluate it comprehensively in the asset comparison task. The experimental results show that the model has better distinguishing ability and feature extraction efficiency in diverse asset comparison scenarios, which is helpful to solve the asset identification problem in complex scenarios. © 2025 IEEE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Intrusion Detection for Internet of Medical Things (IoMT) using Extreme Learning Machine 2

Intrusion Detection for Internet of Medical Things (IoMT) us...

引用

2nd international conference on Advanced Innovations in Smart Cities, ICAISC 2025

作者： Cherif, Asma Center of Excellence in Smart Environment Research King Abdulaziz University Faculty of Computing and Information Technology Information Technology Department Jeddah Saudi Arabia

ISBN: (纸本)9798331506995

The proliferation of Internet of Medical Things (IoMT) devices in healthcare requires robust intrusion detection systems to safeguard sensitive data and ensure patient safety. This study presents a novel approach utilizing Extreme Learning Machine (ELM) architectures for intrusion detection in IoMT environments, leveraging the WUSTL-EHMS-2020 dataset. Addressing the prevalent issue of class imbalance, we compare the impact of Synthetic Minority Over-sampling Technique (SMOTE), weighted loss functions, and a hybrid over- and under-sampling strategy to enhance detection accuracy. Our research implements and evaluates multiple ELM architectures, comparing their performance in terms of accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC-ROC). The results demonstrate that the weighted loss function method significantly improves the detection capabilities of ELMs, providing an effective solution for real-time intrusion detection in healthcare IoMT systems. © 2025 IEEE.

关键词： Network intrusion

来源：评论

学校读者我要写书评

暂无评论

Cyber Attack Detection using Stacking Ensemble Model for Internet of Vehicle 4

Cyber Attack Detection using Stacking Ensemble Model for Int...

引用

4th international conference on Power, Control and computing Technologies, ICPC2T 2025

作者： Sahu, Monika Gupta, Govind P. Department of Information and Technology National Institute of Technology C.G. Raipur India

ISBN: (纸本)9798331530402

The Internet of Vehicle (IoV) is an advancement in transportation by integrating vehicles to each other, road-side infrastructure, and smart control units. However, this interconnection of the IoV system, introduces different kinds of cyber security challenges such as data privacy, integrity, denial of services and unauthorized access attacks. The traditional methods of attack detection face various challenges in addressing sophisticated attacks due to limited scalability and inability to handle large complex dataset. Thus, this paper introduces a model for detecting cyber-attacks within IoV system using a stacking ensemble technique. In the proposed stacking method, four base classifiers such as Random Forest, Decision Tree, XGBoost, Support Vector Machine, and Decision Tree as a Meta classifier are used to identify cyber attacks effectively. The CICIoV-2024 dataset is used to evaluate the performance of the proposed model and it is observed that the proposed model performs better with 97% accuracy, 94.24% precision, 99.24% recall, and 96.68% Fl-score as compared with state-of-art models. © 2025 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

New Cloud computing Authentication Based on Secure Hash Algorithm (SHA-3) and Lightweight Sosemanuk Algorithm 2nd

New Cloud Computing Authentication Based on Secure Hash Algo...

引用

2nd international conference on Cyber Intelligence and information Retrieval, CIIR 2023

作者： Niaf, Jolan Rokan Kadhim, Aqeel Kamil Mohammed, Qutaiba Humadi Hoomod, Haider K. Salman, Muna Muhsen Iraqi Commission for Computers & Informatics Informatics Institute for Postgraduate Studies Baghdad Iraq Computer Techniques Engineering Department Imam Al-Kadhim College Baghdad Iraq College of Nursing University of Baghdad Baghdad Iraq College of Education Al-Mustansiriyah University Baghdad Iraq Ministry of Science and Technology Department of Information Technology Baghdad Iraq

ISBN: (纸本)9789819776023

The term "cloud computing" refers to a vast network of linked, virtually hosted, and easily updatable computer resources. That are capable of consisting of a number of different apps and offering a number of different services to customers, and that have the potential to do so. Customers are required to pay for the cost of using the Services in accordance with the company's "pay-for-use only" policy. However, there are certain firms, such as Google Inc, that provide customers with particular free storage space even though the services provided by the company are limited, specifically with regard to the public cloud. A third-party service provider frequently owns and maintains the infrastructure required to run cloud computing services. But because more and more data and files pertaining to individuals and businesses are being stored in the cloud, worries have started to grow about how safe it actually is. Among these are the protection of software for virtualization and distributed computing, the safety of application software, the administration of identities, and the authentication and restriction of access. Nevertheless, efficient user authentication is the most essential need of cloud computing, as it limits unauthorized usage of a cloud server. Cloud computing has become increasingly popular in recent years. In this research, we present a new authentication method between users and online computing systems that is based on the suggested secure hash algorithm (SHA-3) and makes use of the lightweight Sosemanuk method. We created this technique. That system is going to be known as the SoSha3 system. The design that has been proposed for the system deals with data in three different sizes: 128, 256, and 512 bits. In order to make these authentication systems suitable for cloud computing at high rates, some modifications were made to them. The three-dimensional chaotic system, also known as the Lorenz system, will be combined with the authentication architecture tha

关键词： Cloud security

来源：评论

学校读者我要写书评

暂无评论

Fusion of data dimensionality reduction algorithms baced on category representation theory 4

Fusion of data dimensionality reduction algorithms baced on ...

引用

4th international conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Xu, Xiaoxiang Li, Fanzhang Zhang, Li School of Computer Science and Technology Joint International Research Laboratory of Machine Learning and Neuromorphic Computing Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

ISBN: (纸本)9781510687615

For a long time, people have believed that representation problems are one of the bottlenecks in the field of machine learning. Therefore, it is a long-term and exploratory work to study machine learning representation methods. Due to this, we use category theory to study the fusion representation of data dimensionality reduction. We propose the basic concept of category representation for data dimensionality reduction and provide a data dimensionality reduction fusion representation framework. We have conducted research and analysis on algorithms such as PCA, KPCA, and LDA, identified the essential connection between PCA, KPCA, and LDA and proposed a data dimensionality reduction fusion representation algorithm based on a data dimensionality reduction fusion representation framework. Finally, we demonstrated the feasibility of the proposed method through experiments. © 2025 SPIE.

关键词： Dimensionality reduction

来源：评论

学校读者我要写书评

暂无评论

DABNet: Hybrid Acne Classification Approach with Attention-Based Transfer Learning using Bayesian Optimization 5

DABNet: Hybrid Acne Classification Approach with Attention-B...

引用

5th international conference on Emerging Systems and Intelligent computing, ESIC 2025

作者： Paluri, Krishna Veni Gupta, Ashish Nain, Garima VIT-AP University School of Electronics Engineering Andhra Pradesh Amaravati India ABV-IIITM Department of Information Technology Madhya Pradesh Gwalior India

ISBN: (纸本)9798331522100

This paper introduces a hybrid deep learning model, DABNet, to tackle the challenge of poor accuracy in acne classification as a result of insufficient training data availability. The presented work employed a Deep Convolutional Generative Adversarial Network for synthetic or pseudo-data generation and employed transfer learning using EfficientNetB0 and DenseNet121 to overcome the data-scarcity concern. It integrated the Convolutional Block Attention Module for enhanced feature extraction and incorporated Bayesian optimization to determine the optimal hyperparameters of the DABNet model. Experimentally, it is illustrated that DABNet performed better than other state-of-the-art models with limited training data. Moreover, it reduced the training time and achieved a testing accuracy of 98.91%. © 2025 IEEE.

关键词： Transfer learning

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 << < 56 57 58 59 60 61 62 63 64 65 > >>

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：