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

550 篇 会议
4 册 图书
4 篇 期刊文献

馆藏范围

558 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

330 篇 工学
- 302 篇 计算机科学与技术...
- 222 篇 软件工程
- 66 篇 信息与通信工程
- 55 篇 控制科学与工程
- 41 篇 生物工程
- 36 篇 生物医学工程（可授...
- 33 篇 电气工程
- 26 篇 电子科学与技术（可...
- 24 篇 动力工程及工程热...
- 21 篇 机械工程
- 20 篇 网络空间安全
- 19 篇 光学工程
- 12 篇 化学工程与技术
- 12 篇 安全科学与工程
- 10 篇 仪器科学与技术
- 8 篇 交通运输工程
115 篇 理学
- 47 篇 数学
- 45 篇 物理学
- 45 篇 生物学
- 25 篇 统计学（可授理学、...
- 12 篇 化学
95 篇 管理学
- 60 篇 管理科学与工程(可...
- 34 篇 图书情报与档案管...
- 19 篇 工商管理
29 篇 医学
- 28 篇 临床医学
- 23 篇 基础医学(可授医学...
- 12 篇 药学(可授医学、理...
- 9 篇 公共卫生与预防医...
16 篇 教育学
- 15 篇 教育学
13 篇 法学
- 12 篇 社会学
6 篇 农学
4 篇 经济学
2 篇 文学

主题

95 篇 machine learning
72 篇 human computer i...
70 篇 accuracy
56 篇 deep learning
35 篇 feature extracti...
31 篇 training
29 篇 convolutional ne...
28 篇 emotion recognit...
27 篇 predictive model...
27 篇 machine learning...
26 篇 computational mo...
21 篇 adversarial mach...
19 篇 real-time system...
18 篇 computer vision
18 篇 data models
17 篇 support vector m...
17 篇 artificial intel...
15 篇 reliability
14 篇 face recognition
14 篇 prediction algor...

机构

4 篇 school of materi...
3 篇 school of comput...
3 篇 school of inform...
3 篇 graphic era deem...
3 篇 new york univers...
2 篇 department of co...
2 篇 saveetha institu...
2 篇 school of comput...
2 篇 school of xiamen...
2 篇 singapore univer...
2 篇 dept. of compute...
2 篇 wuhan digital en...
2 篇 dept. of softwar...
2 篇 dept. of electro...
2 篇 chitkara univers...
2 篇 south china univ...
2 篇 school of comput...
2 篇 school of comput...
2 篇 department of in...
2 篇 dept. of compute...

作者

3 篇 surendran r.
3 篇 ggaliwango marvi...
2 篇 zhou jing
2 篇 r surendran
2 篇 julian anitha
2 篇 wenle bai
2 篇 qingle quan
2 篇 hanqing sun
2 篇 sharma ajay
2 篇 jac fredo agasti...
2 篇 jing zhou
2 篇 kulkarni hrishik...
2 篇 wu kai
2 篇 shahade makarand
2 篇 bharti
2 篇 sharma shamneesh
2 篇 bingyao liu
2 篇 nakayiza hellen
2 篇 vishalakshmi
2 篇 schiller dominik

语言

454 篇 英文
104 篇 其他
8 篇 中文

检索条件"任意字段=5th International Conference on Machine Learning and Human-Computer Interaction, MLHMI 2024"

共 558 条记录，以下是161-170 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：

ACO-Based Hyperparameter Tuning of a DL Model for Lung Cancer Prediction 5

ACO-Based Hyperparameter Tuning of a DL Model for Lung Cance...

引用

5th IEEE international conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Dilip, Kumar Ghantasala, G. S. Pradeep Rao, D. Nageswara Rathee, Manisha Bathla, Priyanka Alliance University Department of Computer Science and Engineering Bengaluru India Jawaharlal Nehru University School of Computer & Systems Sciences New Delhi India Chandigarh University Mohali Punjab Gharuan India

ISBN: (纸本)9798350383522

machine learning models could provide human intelligence to perform complex tasks effectively. Among them, deep learning models have successfully been applied in several domains. However, that efficacy can be achieved only through effective design and training of deep learning models, which is a complex task to achieve and requires a lot of expertise in the domain. Finding the optimal hyperparameter values is crucial for high-performance machine learning models, especially tree-based models and neural network-based models. Estimation of the parameters such as the weight of neural networks can be done using data sets and these are internal model parameters, however the hyperparameters such as number of layers, size of layers, learning rates etc. are external to the model. the values of hyperparameters can either be determined intuitively by domain experts or by manually and randomly trying various possible configurations until we arrive at some acceptable values. Both have severe limitations for machine learning models with a lot of hyperparameters. Several attempts have been made in the direction of automatic hyperparameter optimization to save human efforts in designing machine learning models. Nature-inspired computing has gained a lot of popularity in this direction in recent years. In this paper, we have applied ant colony optimization, a nature-inspired approach for hyperparameter optimization for deep learning models for the prediction of lung cancer. © 2024 IEEE.

关键词： Ant colony optimization combinatorial optimization Deep learning model Hyperparameter optimization Metaheuristic

来源：评论

学校读者我要写书评

暂无评论

Design of a Deep learning-Based voice recognition and control system for Autonomous Vehicle Cockpits 5

Design of a Deep Learning-Based voice recognition and contro...

引用

5th international conference on Telecommunications, Optics, and computer Science, TOCS 2024

作者： Zhang, Yu Niu, Yiting Ren, Xingqi Arts Department East China Jiaotong University Jiangxi Nanchang330013 China

ISBN: (纸本)9781510691667

With the rapid advancement of autonomous driving technology, the human-machine interaction (HMI) systems within vehicle cockpits play a crucial role in enhancing user experience and ensuring driving safety. this paper presents the design of a deep learning-based voice recognition and control system tailored for autonomous vehicle cockpits, aiming to improve speech recognition accuracy and real-time responsiveness. the research encompasses speech signal processing, the design and optimization of deep learning models, multilingual support, and the mapping of voice commands to control actions. By constructing a virtual simulation environment and conducting multi-scenario, multilingual experiments, the results demonstrate that the proposed system outperforms traditional methods in both speech recognition accuracy and response time, significantly enhancing the intelligence and user experience of autonomous vehicle cockpits. © 2025 SPIE.

关键词： Speech enhancement

来源：评论

学校读者我要写书评

暂无评论

Real-Time Face Expression Recognition Monitoring Using Deep learning 5

Real-Time Face Expression Recognition Monitoring Using Deep ...

引用

5th international conference on Electronic Engineering and Informatics, ICEEI 2023

作者： Xu, Yuan School of Artificial Intelligence Hohai University Nanjing China

ISBN: (纸本)9781643685021

Face expression recognition plays a crucial role in emotion recognition, human-computer interaction and other fields. the aim of this paper is to implement a deep learning-based monitoring system for real-time facial expression recognition. In this paper, a public expression dataset ExpW is used, which is a widely used public face expression dataset. the dataset contains face images from various scenarios in the real world, covering a rich variety of expressions, encompassing seven major expression categories: anger, disgust, fear, happiness, sadness, surprise, and neutrality. the YOLOv5 target detection algorithm is selected on the deep learning framework for the training and testing of the training set, which is a high-performance algorithm for fast and accurate implementation of the target detection task through a simplified network structure and optimized algorithm design. the experimental evaluation results can be concluded that the system in this paper achieves accurate expression recognition in real-time scenarios. the results of this paper show that real-time face expression recognition monitoring based on deep learning has potential applications in emotion recognition and human-computer interaction. © 2024 the Authors.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

AI Based Smart Assistant System for Alzheimer Person 5

AI Based Smart Assistant System for Alzheimer Person

引用

5th international conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Kiruthika, V.R. NirmalaDevi, J. Bannari Amman Institute of Technology Department of Computer Science and Engineering Sathyamangalam India

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379945

Alzheimer Disease is a progressive disorder that affects memory and other significant mental actions. this gives an immense challenge to the care takers and patients and gets worsen over time. this work is proposed in a way to support Alzheimer patients in carrying out their routine activities independently and improve their quality of life. the proposed system integrates machine learning algorithms with mobile application for assisting the patients and supporting the care takers as well. the first part includes the AI algorithms such as Long Short-Term Memory (LSTM), Random Forest, Logistic Regression, Decision Tree, Support Vector Classifier (SVC) and Light Gradient-Boosting machine (LightGBM) employed in predicting their routing activities and the results are compared to elevate the best algorithm. the second part consists of support system in which the mobile application plays a role in various tasks such as location tracking, personalized reminders, scheduling the medication and anomaly detection in human behavior. the study aims to present a support system in assisting the Alzheimer's patients with routine activities and scheduling their significant actions. this paves a way for improvising the patient safety and eases the burdens of care givers. © 2024 IEEE.

关键词： Random forests

来源：评论

学校读者我要写书评

暂无评论

Research of English Reading Assistant System Based on Deep learning 24

Research of English Reading Assistant System Based on Deep L...

引用

5th international conference on computer Information and Big Data Applications, CIBDA 2024

作者： Xie, Jingjing School of Education and Foreign Languages Wuhan Donghu University Hubei Wuhan430212 China

ISBN: (纸本)9798400718106

With the acceleration of globalization, China has faced with the era of the digital technology explosion. Artificial Intelligence has given the recent upsurge in English education renovation. Concerning the difficulty of English reading activity, it needs to develop a pragmatic English reading assistant system, which would help achieve man-machine interaction of visual simulation and deep learning. this paper introduces the current situation of language research and puts forward the urgency of combination of deep learning on Artificial Intelligence and English reading. then, related technologies are also listed out, concerning the newest development of machine learning and natural Language. It gives concrete framework of constructing English reading assistant system on deep learning. By experiment, this research further verifies the feasibility and validity of this assistant system according to what’s shown by quantitative and qualitative analysis. through statistical data and results of this experiment, it helps more scholars to conduct more research on the application and product development of English reading assistant system on deep learning. © 2024 ACM.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

UGENet: learning Discriminative Embeddings for Unconstrained Gaze Estimation Network via Self-Attention Mechanism in human-computer interaction 24

UGENet: Learning Discriminative Embeddings for Unconstrained...

引用

5th international conference on computer Information and Big Data Applications, CIBDA 2024

作者： Liu, Hai Song, Yu Liu, Tingting Ju, Jianping Tang, Jianying School of Information and Artificial Intelligence Nanchang Institute of Science and Technology Nanchang330108 China National Engineering Research Center for E-Learning Central China Normal University Wuhan430079 China

ISBN: (纸本)9798400718106

Gaze estimation plays an important role for indicating the human behavior and intention. It has developed rapidly with the field of computer vision, enabling it to be used in a variety of applications, such as virtual reality and human-computer interaction. However, gaze estimation in the field is still challenging due to different head postures, lighting conditions and eye appearances. In this work, we propose a novel gaze estimation model with framework based on ResNet-50, which improves its estimation accuracy. In addition, the same loss function for each predicted angle is used to improve the generalization performance of the model. Finally, the proposed model is validated on the two most unconstrained popular datasets, such as MPIIGAZE and GAZE360. the experimental results show the proposed approach performs better compared to other better methods. © 2024 ACM.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Spatiotemporal Visual Tracker Based on Deformable Attention 5

Spatiotemporal Visual Tracker Based on Deformable Attention

引用

5th IEEE international conference on Pattern Recognition and machine learning, PRML 2024

作者： Wu, Zhuo Hamdulla, Askar Huang, Yucheng School of Computer Science and Technology School of Cyberspace Security Xinjiang University Urumqi China School of Intelligence Science and Technology School of Future Technology Xinjiang University Urumqi China

ISBN: (纸本)9798350355925

At present, the visual tracking method based on Transformer has made significant progress, and has shown excellent performance on various data sets. However, the traditional Transformer tracker pays too much attention to global features, and its intensive attention calculation will increase the space-time complexity of the tracking algorithm. And the features of the relevant region will be affected by the features of the non-relevant region, resulting in a decrease in tracking accuracy. In addition, the Transformer tracker lacks the ability to utilize the spatiotemporal information between frames, which further hinders the improvement of its tracking performance. To solve these problems, this paper proposes a new tracker SVT-DA based on deformable attention. the tracker captures local and global important features through CNN and deformable attention. In addition, it uses a cross-attention module nested with self-attention to achieve deep semantic information interaction between template features and search features. In order to verify the effectiveness of the proposed method, we conduct experiments on LaSOT, GOT-10K, OTB100 and VAU123 datasets. the result indicators are 4%5% higher than the baseline method. the experimental results show that our method improves the tracking performance while reducing the number of model parameters, and is highly competitive with other state-of-the-art methods. © 2024 IEEE.

关键词： Deep learning Deformable attention Feature fusion Transformer Visual object tracking

来源：评论

学校读者我要写书评

暂无评论

Integrating Natural Language Processing in Artificial Intelligence-Driven Online Spam Detection: "A Forward-Looking Perspective" 5

Integrating Natural Language Processing in Artificial Intell...

引用

5th IEEE international conference for Emerging Technology, INCET 2024

作者： Kumar, Biresh Kumari, Varsha Singh, Kamakhya Narain Amity Institute of Information Technology Amity University Jharkhand Jharkhand Ranchi India School of Computer Applications KIIT Deemed University Bhubaneswar India

ISBN: (纸本)9798350361155

this study proposes a spam discovery framework utilizing Normal Language Processing (NLP) to dissect messages for spam watchwords and connections. the interaction incorporates information pre-processing, highlight extraction, and model determination. the framework is prepared, assessed, and adjusted, offering continuous observation and client connection. By consolidating NLP with AI and profound learning, the framework successfully channels spam messages, offering a flexible and versatile answer for email security, tending to the tireless test of spam in the present computerized correspondence scene. It gives a proactive safeguard against spontaneous and possibly destructive messages, guaranteeing the trustworthiness and well-being of email interchanges. the strategy includes the assortment of different datasets containing both genuine and spam content, empowering the preparation of a strong man-made intelligence model. Highlights like text-based designs, client conduct, and metadata are separated to improvise the model's tendency to observe among authentic and spam content. the preparation cycle utilizes managed learning methods, permitting the model to sum up designs and adjust to advancing spam strategies. As the volume of online substance keeps on developing dramatically, the issue of spam represents a critical danger to the quality and respectability of computerized correspondence. this paper presents a sharp method for managing battling web spam through the combination of computerization method. © 2024 IEEE.

关键词： machine learning

来源：评论

学校读者我要写书评

暂无评论

A Food Safety Detection System Based on computer Vision Technology 5

A Food Safety Detection System Based on Computer Vision Tech...

引用

5th international conference on Advances in Electrical Engineering and computer Applications, AEECA 2024

作者： Liu, Xiaobing Sanya Aviation and Tourism College Sanya China

ISBN: (纸本)9798350355253

To address the issues of food processing visual inspection being easily affected by environmental factors and inspector fatigue, resulting in unstable detection outcomes and high inspection costs, a food safety detection system based on computer vision technology is proposed. this paper investigates the system from aspects such as hardware structure design, software structure design, and the selection of key components. For the hardware structure, the handheld food residue monitoring device is divided into four main modules, and the primary functional components of the device are selected under the function of each module. In terms of software architecture, based on the characteristics of SOPC, it is divided into two layers: the interaction layer and the application layer, where the interaction layer is responsible for human-machine interaction, and the application layer handles low-level device drivers. Experimental results show that this method can detect about 1% spinach juice residue on wooden cutting boards and stainless steel plates and has been tested with simulation processing equipment. the accuracy of this method is 93.1%, exceeding the 70.4% accuracy of visual inspection. the results indicate that this method can effectively improve the surface hygiene of food processing equipment and can be used to inspect the surface hygiene of such equipment. © 2024 IEEE.

关键词： Cutting equipment

来源：评论

学校读者我要写书评

暂无评论

Lightweight YOLOv8n with Cross-Scale Feature Fusion for Driver Fatigue Detection 5

Lightweight YOLOv8n with Cross-Scale Feature Fusion for Driv...

引用

5th international conference on Intelligent Computing and human-computer interaction, ICHCI 2024

作者： Duan, Yanfan Li, Zheng Gao, Yanchen Yang, Diancai School of Railway Transportation Shandong Jiaotong University Jinan China Intelligent Manufacturing Centre Qingdao Academy of Intelligent Industries Qingdao China NERC-ATMKM Qingdao University of Science and Technology Qingdao China

ISBN: (纸本)9798350368284

Currently, most fatigue driving detection methods based on deep learning meet accuracy requirements. However, these models have a high number of parameters and require significant computation, resulting in low real-time speed. Hence, they cannot be applied to on-board equipment with limited memory and computing power. To address these issues, a lightweight network model was designed based on the YOLOv8n object detection network. the Down sampling module, which reduces the spatial resolution of feature maps to decrease the model's computational load and number of parameters, replaces the Convolution module in the traditional YOLOv8n model series. this module captures image features at a higher level using a specific Down sampling strategy. Additionally, a lightweight Cross-Scale Feature Fusion Module framework is further adopted in the neck to replace the original neck structure, reducing giga floating-point operations per second and enhancing the model's detection capabilities. the Focal Modulation technology was used to replace the original Spatial Pyramid Pooling Fast module, improving the model's recognition ability for these areas and solving the problem of reduced model accuracy caused by the lightweight design. the experimental results demonstrate that the proposed model effectively achieves lightweight effects. the improved model shows a 1.1 % increase in accuracy, a 42.2 % decrease in the number of parameters, a 27.1 % decrease in computation, and a 40.6% reduction in model size. Moreover, the model accurately extracts the driver's eyes and mouth opening characteristics. the eye closure index percentage is used to objectively and accurately assess a driver's fatigue, providing an early warning to the driver. © 2024 IEEE.

关键词： Deep 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56页 << < 13 14 15 16 17 18 19 20 21 22 > >>

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：