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

16,669 篇 会议
62 篇 期刊文献
27 册 图书

馆藏范围

16,757 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

11,537 篇 工学
- 8,391 篇 计算机科学与技术...
- 6,737 篇 软件工程
- 2,664 篇 信息与通信工程
- 1,955 篇 控制科学与工程
- 1,854 篇 电气工程
- 1,426 篇 电子科学与技术（可...
- 1,287 篇 生物工程
- 1,044 篇 生物医学工程（可授...
- 889 篇 机械工程
- 728 篇 光学工程
- 654 篇 仪器科学与技术
- 652 篇 动力工程及工程热...
- 564 篇 安全科学与工程
- 543 篇 交通运输工程
- 467 篇 化学工程与技术
- 325 篇 建筑学
5,151 篇 理学
- 2,714 篇 数学
- 1,398 篇 生物学
- 1,286 篇 物理学
- 904 篇 统计学（可授理学、...
- 788 篇 系统科学
- 499 篇 化学
2,725 篇 管理学
- 1,785 篇 管理科学与工程(可...
- 1,157 篇 图书情报与档案管...
- 899 篇 工商管理
858 篇 医学
- 672 篇 基础医学(可授医学...
- 671 篇 临床医学
- 412 篇 药学(可授医学、理...
493 篇 法学
- 417 篇 社会学
361 篇 经济学
- 360 篇 应用经济学
267 篇 农学
245 篇 教育学
174 篇 艺术学
130 篇 文学
55 篇 军事学
8 篇 历史学
4 篇 哲学

主题

514 篇 computer archite...
363 篇 computational mo...
279 篇 computer science
249 篇 software enginee...
228 篇 deep learning
210 篇 feature extracti...
188 篇 application soft...
181 篇 support vector m...
177 篇 neural networks
168 篇 real-time system...
166 篇 software systems
158 篇 conferences
145 篇 accuracy
144 篇 predictive model...
144 篇 semantics
142 篇 optimization
142 篇 monitoring
132 篇 software
129 篇 real time system...
124 篇 complex networks

机构

93 篇 chitkara univers...
53 篇 department of el...
40 篇 school of comput...
35 篇 school of comput...
30 篇 school of electr...
28 篇 school of comput...
28 篇 school of comput...
27 篇 computer science...
27 篇 university of ch...
25 篇 college of compu...
24 篇 school of comput...
24 篇 school of comput...
23 篇 department of co...
23 篇 school of comput...
23 篇 hunan university...
22 篇 lovely professio...
21 篇 ieee
21 篇 amrita vishwa vi...
17 篇 computer science...
17 篇 graphic era deem...

作者

21 篇 kukreja vinay
17 篇 anjali t.
17 篇 chauhan rahul
15 篇 rishabh sharma
14 篇 yang yang
13 篇 wang lei
11 篇 wang tao
10 篇 kaur arshleen
10 篇 luo xiaonan
10 篇 liu yang
10 篇 b. goldstein
9 篇 wei li
9 篇 zhang rui
9 篇 hangzhou
9 篇 wang wei
8 篇 zhang tao
8 篇 li ji
8 篇 valeriy vyatkin
8 篇 bhowmik biswajit
8 篇 devliyal swati

语言

16,208 篇 英文
472 篇 其他
83 篇 中文
4 篇 法文
4 篇 土耳其文
2 篇 葡萄牙文
1 篇 西班牙文

检索条件"任意字段=9th IEEE International Conference on Engineering of Complex Computer Systems"

共 16758 条记录，以下是61-70 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：

Enhanced Aerial Vehicle Detection Using a Customized YOLOv8 Model for Real-World Applications 9

Enhanced Aerial Vehicle Detection Using a Customized YOLOv8 ...

引用

9th international conference on Communication and Electronics systems, ICCES 2024

作者： thalapilly, Maanav Agasti, Ketone Nambiar, Niranjan S. Suresh, Ananthu Anjali, T. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798350377972

Aerial vehicle detection is a critical function in surveillance, disaster response, and many defense systems. In this paper, a customized model, which extends the YOLOv8 model to detect aerial vehicles with exact precision and efficiency with four classes-categorized as helicopters, airplanes, drones, and UAVs-is developed. the dataset comprises 5,050 labeled images of various sources, augmented for robustness, and formatted in the YOLO-compatible structure for smooth training. the proposed approach integrates optimized depth and width multipliers for reducing complexity of computation at a preserved high detection accuracy. Its efficiency reflects in an mAP of 98.7%, which is superior to YOLOv8 (97.1%) and YOLOv5 (95.8%). Comparison in the two regimes indicates that the work offers superior precision and computational efficiency, hence suitable for real-world scenarios where resources are constrained. Results confirm the proposed approach is efficient in dealing with the cases of small objects, overlapping entities, and complex backgrounds, and its potential could be for further development of aerial surveillance technologies. © 2024 ieee.

关键词： Aircraft detection

来源：评论

学校读者我要写书评

暂无评论

Facial Emotion Detection using CNN & VGG16 Model 9

Facial Emotion Detection using CNN & VGG16 Model

引用

9th ieee international conference for Convergence in Technology, I2CT 2024

作者： Negi, Aryan Singh Arora, Anamika Bisht, Sourav Devliyal, Swati Kumar, Bura Vijay Kaur, Gurjot Graphic Era Hill University Computer Science And Engineering Uttarakhand Dehradun India Graphic Era Deemed To Be University Computer Science And Engineering Uttarakhand Dehradun India Sr University School of Computer Science & Artificial Intelligence Warangal India Chitkara University Institute of Engineering And Technology Chitkara University Punjab India

ISBN: (纸本)9798350394474

In fields like human-computer interaction, healthcare, and marketing, facial and emotional recognition utilizing machine learning (ML) has found many uses. the primary method used in this study is Convolutional Neural Networks (CNNs), more especially pre-trained models like ResNet and VGG16 that have been tweaked using labelled facial expression datasets. Enhancement techniques are used to enhance model generalization, and data preparation, ensemble learning, and transfer learning are used to address issues like posture variations and cultural expressions. In tests conducted on the benchmark datasets CK+ and FER-2013, competition-level performance is displayed in parameters such as accuracy, precision, recall, and F1-score. the application of this ML-based methodology in emotion-aware systems, human-computer interaction, and mental health monitoring is highlighted by these *** present work underscores the potential of machine learning (ML) in detecting facial expressions and emotions. Further research is necessary to improve the functionality of these systems in order to achieve greater social advantages. © 2024 ieee.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Management by objectives: modeling the investment policy of service enterprises from the perspective of the digital economy 9

Management by objectives: modeling the investment policy of ...

引用

9th international conference on Energy Efficiency and Agricultural engineering (EE and AE)

作者： Chernyakov, Mikhail Chistyakova, Olga Chernyakov, Vladislav Siberian Univ Consumer Cooperat Novosibirsk Russia Russian Univ Cooperat Kazan Cooperat Inst Branch Novosibirsk Russia Russian Acad Natl Econ & Publ Adm Siberian Inst Management Novosibirsk Russia

ISBN: (纸本)9798350369397;9798350369380

the article proposes a step-by-step solution to the problem of modeling investment policy. With a fairly extensive list of methods currently available, the authors preferred a methodology based on the digital economy paradigm. the digital economy is positioned as an economy based on the use of information technologies for optimal resource management, in this case, enterprises. the modeling task is solved in three stages: the formation of an algorithm, the development of a flowchart, and the writing of a computer program. the demand for modeling is dictated by the presence of a large information array, and identifying the optimal solution to the problem is impossible without optimization models. A fairly extensive sequence of calculation procedures can only be performed using computer programs.

关键词： investments investment policy modeling optimization model flowchart computer program digital economy

来源：评论

学校读者我要写书评

暂无评论

Efficient Hand Rehabilitation Recognition for Spy-Robot Controlling System 9

Efficient Hand Rehabilitation Recognition for Spy-Robot Cont...

引用

9th international conference on Communication and Electronics systems, ICCES 2024

作者： Vignesh, V. Azim Ahamed, A. Nisha, P. Gayathri, P. St. Joseph's Institute of Technology Department of Electrical and Electronics Engineering OMR Chennai India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377972

the advancement of gesture recognition technology has been greatly influenced by the introduction of innovative devices. these devices have significantly improved hand pose recognition through more accurate tracking of hand movements, enhancing human-computer interaction have led to increased accuracy in gesture recognition and the feasibility of real-time applications. this brief introduces an improved and an efficient hand rehabilitation gesture recognition controlled system employing gesture sensor to provide reliable performance and a spy-robot control mechanism. the potential of gesture recognition technology spans diverse applications, from sign language recognition to assistive robotics and industrial automation which is thus discussed below. © 2024 ieee.

关键词： Human computer interaction

来源：评论

学校读者我要写书评

暂无评论

Improved Accuracy in File Encryption using Noise Images as Key for AES Algorithm in Comparison with Salsa20 Algorithm 9

Improved Accuracy in File Encryption using Noise Images as K...

引用

9th international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2024

作者： Jashwanth, J. Mondal, Kalimuddin Saveetha School of Engineering Saveetha Institute of Medical And Technical Sciences Saveetha University Department of Computer Science And Engineering TamilNadu Chennai602105 India

ISBN: (纸本)9798350365092

the objective of this research is to enhance the security of file encryption by utilizing Novel Noise Images as keys, thereby mitigating potential security threats. the proposed method employs advanced encryption standards and is compared with Salsa20 for improved effectiveness. Decentralized and participatory control systems rely on communication networks, but these systems often overlook the possibility of stealthy attacks that can have a significant impact while leaving minimal detection signals. this research focuses on the detection of a stealthy attack called MaR, which involves an attacker manipulating voltage measurements by using reference values, on a microgrid's communication network. the study utilized a comparatively larger and different sample size of 10, and the computation was conducted while G power is 0.8 with a 95% confidence interval and a and ß values of 0.05 and 0.2, respectively. Advanced Encryption Standard (93.96%) identifies objects and increases the measured accuracy over Salsa20 (61.95%) having a significance p=0.001 (p © 2024 ieee.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Graph Neural Networks for Optimizing Reliability in Vehicle-to-Infrastructure Communication in Autonomous systems 9

Graph Neural Networks for Optimizing Reliability in Vehicle-...

引用

9th international conference on Communication and Electronics systems, ICCES 2024

作者： Neelamegam, G. Revathy, J. Kannukkiniyal, M. Devendran, M. Akshya, J. Choudhry, Mani Deepak Vsb College of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Christ the King Engineering College Department of Artificial Intelligence and Data Science Coimbatore India Kongu Engineering College Department of Computer Science and Engineering Erode India Hindustan institute of technology Department of Computer Science and Engineering Coimbatore India Srm Institute of Science and Technology Department of Computational Intelligence Chennai India Srm Institute of Science and Technology Department of Computing Technologies Chennai India

ISBN: (纸本)9798350377972

High reliance on autonomous systems necessitates efficient and reliable data exchange through Vehicle-to-Infrastructure (V2I) communication to have appropriate and stable network performance in dynamic vehicular environments. With heuristic approaches, Dijkstra's algorithm, and Deep Q-Networks (DQN), several methods are proposed for optimizing latency reduction, packet delivery rate improvement, and power efficiency in the direction of V2I communications. However, these approaches suffer from important challenges: low adaptability of the network to real-time dynamics, suboptimal resource usage, and difficulties in scalability towards complex large-scale networks. In this scenario, we propose a framework that incorporates a GNN inside autonomous systems for V2I communication to optimize performance. the GNN will process real-time graph features, including signal strength, packet loss, and mobility speed, as it dynamically changes in adaptation to the evolution of network behaviour and other functions. this work shows the superiority of the proposed GNN model for the efficiency of experimentally conducted simulations compared to the current models;it achieved latency reduced by up to 28%, 5-10% PDR, and 20% energy efficiency across the various scenarios with urban, rural, highway, and suburban networks. the results validate robustness and scalability for practical implementations by the proposed approach in real-world autonomous systems. Further development is possible with this framework: for example, the use of multi-agent reinforcement learning techniques within cooperative decision-making and the enhancement through blockchain-based security mechanisms to ensure the integrity of the data. © 2024 ieee.

关键词： Graph neural networks

来源：评论

学校读者我要写书评

暂无评论

Identification of Credit Card Frauds Using Machine Learning Techniques 9

Identification of Credit Card Frauds Using Machine Learning ...

引用

9th international conference on Communication and Electronics systems, ICCES 2024

作者： Jain, Shaily Rani, Neetu Srivastava, Prakash Prabha, Chander Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Chandigarh University Department of Computer Science and Engineering Punjab Ghruan India Department of Computer Science & Engineering Dehradun India

ISBN: (纸本)9798350377972

Nowadays, most of the transactions are online due to the high involvement of online sales and purchase purposes. Although these transactions provide convenience to their end user, meanwhile these are also the main cause of fraud in online transactions of credit cards. Nowadays, online fraud transactions hiked in some cities generating interest in this topic of utmost security concern and needs to be addressed. Recent research studies proposed many machine learning techniques to resolve such kinds of issues but still their accuracy needs to be improved. In this research, the Kaggle dataset was used to solve the textual data problem. On the dataset downloaded from Kaggle, few machine learning algorithms have been implemented for research validation. An accuracy of 99.87% was achieved by the proposed research work. the proposed model detects the fraud transaction in earlier stages and will be more beneficial for business firms. © 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

Envisioning the interactive convergence of Generative AI and Facial Expression Recognition 9

Envisioning the interactive convergence of Generative AI and...

引用

9th ieee international conference for Convergence in Technology, I2CT 2024

作者： Florance, G. Nirmala, M. Khan, Jumainah Saifudeen Hisham, K.M. New Horizon College of Engineering Computer Science And Engineering Bengaluru India

ISBN: (纸本)9798350394474

this paper explores and envisions a collaboration between Facial Expression Recognition (FER) and Generative Artificial Intelligence (GenAI) to create an advanced human-computer interaction (HCI) experience. Deep learning techniques are harnessed to interpret human emotions from facial expressions, using a structured approach that includes pre-processing, feature extraction, and classification. the data acquired from the FER stage informs GenAI systems - such as Generative Pre-trained Transformers (GPTs) - to produce contextually relevant and emotionally resonant responses. the proposed system leverages a sophisticated camera setup to capture facial data with high accuracy under diverse lighting conditions, ensuring robust and reliable emotion inference. Virtual avatars complete the multimodal experience by generating corresponding nonverbal cues. Special attention is given to creating a dynamic feedback loop for continuous learning and adaptation, leading to increasingly effective human-computer dialogues. Ethical implications, such as user privacy, data security, and bias mitigation, are central to the design and deployment of this system, underscoring the commitment to ethical standards and user empowerment. this paper aims to demonstrate how the convergence of FER and GenAI can revolutionize HCI, paving the way for enhanced empathetic and intelligent computing interfaces. © 2024 ieee.

关键词： Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Predicting Knee Osteoarthritis using Deep Neural Network 9

Predicting Knee Osteoarthritis using Deep Neural Network

引用

9th ieee international conference for Convergence in Technology, I2CT 2024

作者： Kitukale, Gauri Shelke, Nitin Arvind Agrawal, Rohit Singh, Navneet Pratap Quamara, Sidharth Bennett University School of Computer Science And Engineering Greater Noida India Mits Gwalior Department of Cse India

ISBN: (纸本)9798350394474

Knee osteoarthritis (KOA) is a degenerative knee disease that affects the independence, quality of life, and motivation of millions of people. Early detection and accurate prediction of KOA can facilitate timely intervention and improve patient outcomes. In this paper, we propose a novel approach to predicting the onset and progression of knee OA using deep neural networks (DNNs). We use advanced neural network architectures to pull out complex patterns and relationships from the data. this lets the model learn and predict how knee OA will progress. the proposed models are tested and validated on historic data such as X-ray and MRI images. the results demonstrate the effectiveness of our proposed DNN-based approach in accurately predicting knee OA outcomes, surpassing traditional methods. © 2024 ieee.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Facial Ethnicity Classification by Efficiently Learning the Spatial Resolution of Feature Maps 9

Facial Ethnicity Classification by Efficiently Learning the ...

引用

9th international conference on Mechatronics engineering (ICOM)

作者： Waris, Fazal Da, Feipeng Southeast Univ Sch Automat Nanjing Peoples R China

ISBN: (纸本)9798350349795;9798350349788

Automatic facial ethnicity recognition from a facial image is an essential and complex challenge in face image analysis. With the introduction of deep convolutional neural networks, existing methods of ethnicity classification use either fully connected layers or global average pooling (GAP) layer for classification. GAP layer is employed in place of fully connected layers to minimize parameters number and computational cost. But the problem associated with GAP layer is the loss of spatial resolution. To tackle this problem, we present a new approach modified wise-srNet for ethnicity classification. Extensive experiments are conducted on three popular datasets: BUPT-transferface, FairFace and UTK using several deep convolutional neural networks with proposed architecture for performance analysis. the results from the different experiments show that our proposed method is superior to previous approaches in terms of both robustness and accuracy. Moreover, cross-dataset evaluation is also performed to investigate generalization performance and obtained 86.50% accuracy on UTK dataset demonstrating highest accuracy compared to prior methods.

关键词： computer vision ethnicity classification global average pooling max pooling feature map

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 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：