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

1,748 篇 会议
76 册 图书
48 篇 期刊文献

馆藏范围

1,871 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,274 篇 工学
- 1,063 篇 计算机科学与技术...
- 564 篇 软件工程
- 213 篇 电气工程
- 213 篇 信息与通信工程
- 209 篇 控制科学与工程
- 103 篇 生物工程
- 90 篇 光学工程
- 81 篇 生物医学工程（可授...
- 74 篇 机械工程
- 57 篇 交通运输工程
- 51 篇 电子科学与技术（可...
- 44 篇 安全科学与工程
- 38 篇 化学工程与技术
- 32 篇 仪器科学与技术
- 24 篇 材料科学与工程（可...
- 21 篇 建筑学
- 19 篇 动力工程及工程热...
430 篇 理学
- 193 篇 数学
- 182 篇 物理学
- 121 篇 生物学
- 63 篇 统计学（可授理学、...
- 42 篇 系统科学
- 34 篇 化学
205 篇 管理学
- 116 篇 管理科学与工程(可...
- 105 篇 图书情报与档案管...
- 42 篇 工商管理
91 篇 医学
- 76 篇 临床医学
- 33 篇 基础医学(可授医学...
- 16 篇 药学(可授医学、理...
28 篇 法学
- 26 篇 社会学
15 篇 教育学
8 篇 农学
7 篇 经济学
7 篇 文学
3 篇 艺术学
2 篇 军事学

主题

244 篇 pattern recognit...
93 篇 real-time system...
91 篇 feature extracti...
83 篇 accuracy
77 篇 artificial intel...
55 篇 face recognition
55 篇 intelligent syst...
54 篇 training
48 篇 deep learning
44 篇 speech recogniti...
41 篇 neural networks
41 篇 machine learning
40 篇 pattern recognit...
38 篇 computer imaging...
38 篇 convolutional ne...
37 篇 object detection
36 篇 learning systems
35 篇 support vector m...
35 篇 object recogniti...
34 篇 cameras

机构

6 篇 hubei key labora...
5 篇 natl inst techno...
5 篇 university of ch...
4 篇 natl inst techno...
4 篇 school of big da...
4 篇 natl inst techno...
4 篇 tongji universit...
4 篇 amrita univ amri...
3 篇 univ chittagong ...
3 篇 csiro ict centre
3 篇 natl. lab. of pa...
3 篇 pattern recognit...
3 篇 university of el...
3 篇 university of an...
3 篇 national laborat...
3 篇 university of mi...
3 篇 universidad esta...
3 篇 birla inst techn...
3 篇 universidad andr...
3 篇 institute of aut...

作者

6 篇 de-shuang huang
5 篇 kang-hyun jo
4 篇 patil nagamma
4 篇 adachi yoshinori
4 篇 sei-ichiro kamat...
4 篇 ma songde
4 篇 donald c. wunsch
4 篇 daniel s. levine
4 篇 anon
4 篇 zhang haitao
4 篇 zhang hao
4 篇 honggang zhang
4 篇 iwahori yuji
3 篇 paul scheunders
3 篇 wilfried philips
3 篇 andersson karl
3 篇 kumar ajay
3 篇 tongwei lu
3 篇 dan popescu
3 篇 soman k. p.

语言

1,833 篇 英文
24 篇 其他
19 篇 中文
1 篇 西班牙文

检索条件"任意字段=4th International Conference on Intelligent Systems and Pattern Recognition-ISPR"

共 1872 条记录，以下是241-250 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：

Visibility Detection Methods in Road Traffic Scene-A Survey

Visibility Detection Methods in Road Traffic Scene-A Survey

引用

pattern recognition and Machine Learning (PRML), IEEE international conference on

作者： Zhou Jun Mamatjan Tursun Xinjiang University College of Intelligent Manufafturing and Mordern Industry Xinjiang University Urumqi China Xinjiang University College of Transportation Engineering Xinjiang University Urumqi China

Visibility is an important index to measure the clarity of visible objects in the atmosphere, which is of great significance to traffic safety, aviation navigation, environmental monitoring and other fields. Visibility detection is a process that uses sensors and algorithms to estimate and predict visibility levels. Different visibility detection methods were summarized, shortcomings and limitations of existing methods were summarized, principles and application of image based detection methods and neural network based algorithms were introduced. At the end, a conclusion concerning current methods and multimodal data fusion methods as future research interest were given to readers.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Quantization with Gate Disclosure for Embedded Artificial Intelligence Applied to Fall Detection 24

Quantization with Gate Disclosure for Embedded Artificial In...

引用

4th international conference on Information Technology

作者： Correia, Sergio D. Matos-Carvalho, Joao P. Tomic, Slavisa Portalegre Polytech Univ Campus Politecn 10 P-7300555 Portalegre Portugal Ctr Technol & Syst UNINOVA CTS P-2829516 Caparica Portugal Associated Lab Intelligent Syst LASI P-2829516 Caparica Portugal Lusofona Univ COPELABS Campo Grande 376 P-1749024 Lisbon Portugal

ISBN: (纸本)9798400710940

Fall detection in the elderly population is a typical application of pattern recognition, where machine learning algorithms have shown good performance results in the scientific literature. Nevertheless, the usual large dimension of the networks proposes a challenge for embedded implementations that could be used on wearable or wireless sensor networks. the most common implementation relies on edge or cloud computing of the algorithms, which triggers potential privacy issues and poses a challenge in terms of a large amount of data that need to be transferred through a communication channel. the current work proposes a new methodology for performing network quantization. the extensive simulation results demonstrate the effectiveness and feasibility of the employed methodology for embedded implementation of the LSTM for the fall detection problem on wearable platforms.

关键词： Artificial Intelligence Embedded Computing Quantization Sensors Networks Soft Computing Wearable Sensors

来源：评论

学校读者我要写书评

暂无评论

Research on automatic switching of hydraulic feed dual process in honing processing 4

Research on automatic switching of hydraulic feed dual proce...

引用

2024 4th international conference on Mechatronics, Automation and intelligent Control, MAIC 2024

作者： Lu, Yong Pei, Hailong Li, Guang Deng, Haijun Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangdong Engineering Technology Research Center of Unmanned Aerial Vehicle Systems School of Automation Science and Engineering South China University of Technology Guangzhou510640 China School of Information Guangdong Polytechnic of Science and Trade Guangzhou510440 China

Honing is a finishing process used for the inner cylindrical surfaces of engine blocks or liners. the process involves abrasive particles bonded to the surface of a honing head, which come into contact with the inner bore surface, performing an oscillating and rotational motion. these motions follow a specific pattern, allowing for the creation of crosshatch patterns on the inner bore surface, thereby improving dimensional accuracy, form accuracy and reducing surface roughness. Common honing processes are divided into four distinct phases: material removal, crosshatching, finish honing, and plateau honing. Each phase corresponds to specific tasks such as material removal from the bore, creating crosshatch patterns, honing the peaks in the crosshatch, and final surface finishing. In computer numerical control (CNC)-based honing machine, individual control commands are typically used to manage each of these phases separately. the commands are combined according to process requirements to achieve the desired honing results. To enhance the efficiency of the honing process, this study focuses on the hydraulic feed of the abrasive strips on the honing head, specifically examining the automatic continuous switching between finish honing and plateau honing. the research analyzes the honing principles, develops a control algorithm for dual-process automatic switching, and validates the process through machining tests. Compared to single-process control, the proposed algorithm significantly improves processing efficiency. Additionally, this algorithm can be applied to other dual-process automatic switching controls, providing valuable insights for the design of CNC honing systems. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Honing machines

来源：评论

学校读者我要写书评

暂无评论

Safety-Oriented Train Control systems Monitoring in Smart Railway Transportation: A Review 4

Safety-Oriented Train Control Systems Monitoring in Smart Ra...

引用

4th international conference on pattern Analysis and intelligent systems, PAIS 2022

作者： Zamouche, Djamila Aissani, Sofiane Omar, Mawloud Saad, Narimane Sciences Exactes Univ. Lab. d'Informatique Mé Dicale Faculté Bejaia06000 Algeria Université Bretagne Sud Irisa Laboratory Vannes56000 France

ISBN: (数字)9781665461610

ISBN: (纸本)9781665461610

Safety in railway transportation is becoming urgent due to a large number of accidents and its severe socio-economic impact on a global scale. Currently, various smart train control systems are being developed and these are enhancing the intelligence of individual train operation control. However, this in turn raises the complexity level and the control task would be even more complex. Furthermore, due to increased train's speed, abnormal interactions between train and control system could occur, which gives a sharp increase to serious accidents. therefore, the systems' operation must be monitored continu-ously during the train's movement to check the correctness of its own behavior while generating control commands. In this study, we conduct a survey based on relevant and recent safety monitoring approaches proposed in the literature to get an insight into the state-of-the-art of the key problems of operation safety of train control systems. © 2022 IEEE.

关键词： Railroads

来源：评论

学校读者我要写书评

暂无评论

Quality Network Based on Enhanced Confidence-Aware and Adaptive Margin for Facial recognition

Quality Network Based on Enhanced Confidence-Aware and Adapt...

引用

Machine Learning and intelligent systems Engineering (MLISE), international conference on

作者： Yihang Wu School of Computing National University of Singapore Singapore

ISBN: (数字)9798350375077

ISBN: (纸本)9798350375084

With the emergence of various novel deep-learning models, notable advancements have been witnessed in the field of facial recognition. However, existing models continue to encounter challenges within unconstrained environments, such as low-quality face images, pose variations, and illumination variations. Focusing on improving the performance of facial recognition, this paper proposes a quality network based on an enhanced confidence-aware and adaptive margin (ECAM) and applies it to facial recognition. In ECAM, the image amplitude is incorporated into the quality network so that the boundaries of different categories are represented as a function of the quality amplitude, which allows the model's adaptive learning to reach the optimal values. Furthermore, the confidence mechanism is enhanced by introducing score auxiliary parameters, enabling the quality network to process both high-quality and low-quality images. the experimental results demonstrate that the proposed quality network surpasses others and achieves favourable recognition performance on several face datasets.

关键词： Training Image quality Adaptation models Adaptive systems Face recognition Lighting Focusing

来源：评论

学校读者我要写书评

暂无评论

2022 international conference on High Performance Big Data and intelligent systems, HDIS 2022

2022 International Conference on High Performance Big Data a...

引用

4th international conference on High Performance Big Data and intelligent systems, HDIS 2022

ISBN: (纸本)9781665491440

the proceedings contain 62 papers. the topics discussed include: supervisory event loop-based autoscaling of *** deployments;neural network quantization based on model equivalence;an attention-based long short-term memory framework for detection of bitcoin scams;ontology-based APT attack detection and defense countermeasures;cleaning uncertain time series based on random walk sampling;blockchain technology and analysis of supply chain application scenario;robot manipulator disturbance observation and servo-fault diagnosis without speed sensor;multihead causal distilling weighting is all you need for uplift modeling;deep learning edge detection in image inpainting;automatic rust segmentation using gaussian mixture model and superpixel segmentation;expanding intra-class difference and boosting frame-level classification for continuous sign language recognition;and a certificate authority scheme based on trust ring for consortium nodes.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Review on Gesture-Sensitive Interactive Learning for Preschoolers

A Review on Gesture-Sensitive Interactive Learning for Presc...

引用

Ubiquitous Computing and intelligent Information systems (ICUIS), international conference on

作者： Prajwal Markad Rutuja Chile Vishal thakare Snehal Ghodke DBATU University- Nutan College Of Engineering And Research Pune India

ISBN: (数字)9798331529635

ISBN: (纸本)9798331529642

this research review examines the potential of emerging technologies in early childhood education. Specifically, we focus on the integration of advanced technologies such as facial recognition, motion-based interaction, and artificial intelligence (AI) within preschool settings. the review analyzes existing literature on the impact of these technologies on child development, focusing on aspects such as cognitive development, social-emotional learning, and physical activity. We explore the benefits and challenges of implementing these technologies, including considerations for child safety. the review concludes with a discussion of available datasets and the potential for these technologies to enhance the quality and effectiveness of early childhood education programs.

关键词： Reviews Face recognition Education Focusing Ubiquitous computing Safety Convolutional neural networks Artificial intelligence Information systems

来源：评论

学校读者我要写书评

暂无评论

Research on intelligent Image Reconstruction Computer Face recognition System Based on Statistical pattern Classification

Research on Intelligent Image Reconstruction Computer Face R...

引用

Power Electronics, Computer Applications (ICPECA), IEEE international conference on

作者： Qinsheng Li Yan Jia Yunkun Cui College of Physical Education Taishan University Tai'an China Department of General Education Shandong First Medical University Tai'an China

Multi-directional gradients, fusion and compensation methods are used to generate images that can express the original features, and then a series of processing is done to achieve the purpose of face recognition. Firstly, the gradients in four directions are obtained. Secondly, the gradient is generated by the fusion operation of four gradient values. Finally, the fusion gradient is used to correct the original image, and the complete facial image feature map is obtained. Combined with the characters, the synchronization of voice and voice timing is enhanced to enhance the realism of facial animation. Using the existing speech, text and the speaker's face information, the pre-trained lip discrimination algorithm and video quality discrimination algorithm are presented. It achieves lip animation with high authenticity and synchronizes lip sound simultaneously. Using the Matlab2016 experimental simulation platform, several different types of face sample databases were tested. the experimental results show that this method can achieve better recognition effect under the condition of occlusion.

关键词：

来源：评论

学校读者我要写书评

暂无评论

4th international conference on Trends in Cognitive Computation Engineering, TCCE 2022

4th International Conference on Trends in Cognitive Computat...

引用

4th international conference on Trends in Cognitive Computation Engineering, TCCE 2022

ISBN: (纸本)9789811994821

the proceedings contain 43 papers. the special focus in this conference is on Trends in Cognitive Computation Engineering. the topics include: Descriptive Analysis for Electric Bus During Non-Operational Stage;the Effectiveness Level on the Electric Buses Operation: Case Study for Affordability and Accessibility;IoMT-based Android Application for Monitoring COVID-19 Patients Using Real-Time Data;A Cost-Effective Unmanned Ground Vehicle (UGV) Using Swarm Robotics Technology for Surveillance and Future Combat;neural Network-Based Obstacle and Pothole Avoiding Robot;a Comparative Study of Psychiatric Characteristics Classification for Predicting Psychiatric Disorder;Material Named Entity recognition (MNER) for Knowledge-Driven Materials Using Deep Learning Approach;An Improved Optimization Algorithm-Based Prediction Approach for the Weekly Trend of COVID-19 Considering the Total Vaccination in Malaysia: A Novel Hybrid Machine Learning Approach;analyzing the Effectiveness of Several Machine Learning Methods for Heart Attack Prediction;Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images;solving the Royalty Payment Problem through Shooting Method;ECG Signal Classification Using Transfer Learning and Convolutional Neural Networks;partitional Technique for Searching Initial Cluster Centers in K-means Algorithm;a Novel Ensemble Methodology to Validate Fuzzy Clusters of Big Data;Model Analysis for Predicting Prostate Cancer Patient’s Survival: A SEER Case Study;quantum-Inspired Neural Network on Handwriting Datasets;an Efficient and Secure Data Deduplication Scheme for Cloud Assisted Storage systems with Access Control;priority-Based intelligent Reflecting Surface for Uplink 6G Communication;identifying Duplicate Questions Leveraging Recurrent Neural Network;stegoPix2Pix: Image Steganography Method via Pix2Pix Networks;machine Learning-Based Tomato Leaf Disease Diagnosis Using Radiomics Features;low-Cost Energy Efficient Encryption Algorithm for P

关键词：

来源：评论

学校读者我要写书评

暂无评论

Emotify: An AI-Powered Emotion-Based Music Recommendation System

Emotify: An AI-Powered Emotion-Based Music Recommendation Sy...

引用

intelligent Technologies (CONIT), international conference on

作者： Divya Srivastava Sunidhi Puri Shivanant Deo Bhagat Madhushi Verma Aditi Bhardwaj SCSET Bennett University Greater Noida India CSE ASET Amity Univeristy Greater Noida India

ISBN: (数字)9798350349900

ISBN: (纸本)9798350349917

this paper presents a practical implementation of a music system based on speech emotion recognition. the proposed model will recommend live playlists based on the user’s emotion where the emotion is extracted from speech input and an AIdriven system generates music playlists as per the recognized emotion class. ConvNet is used to classify the emotion from the speech input, and K Means is used to cluster music together into playlists. the music is recommended such that the mood of the user is elevated.

关键词： Emotion recognition Accuracy Mood Neural networks Speech recognition Data models Recommender 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188页 << < 21 22 23 24 25 26 27 28 29 30 > >>

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：