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

1,747 篇 会议
45 篇 期刊文献
12 册 图书

馆藏范围

1,804 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,271 篇 工学
- 1,023 篇 计算机科学与技术...
- 621 篇 软件工程
- 212 篇 光学工程
- 205 篇 电气工程
- 198 篇 信息与通信工程
- 138 篇 生物医学工程（可授...
- 136 篇 生物工程
- 122 篇 控制科学与工程
- 51 篇 机械工程
- 48 篇 电子科学与技术（可...
- 40 篇 化学工程与技术
- 36 篇 仪器科学与技术
- 22 篇 安全科学与工程
- 19 篇 建筑学
- 19 篇 土木工程
- 17 篇 动力工程及工程热...
- 15 篇 材料科学与工程（可...
691 篇 理学
- 350 篇 数学
- 277 篇 物理学
- 190 篇 生物学
- 108 篇 统计学（可授理学、...
- 44 篇 化学
- 30 篇 系统科学
176 篇 管理学
- 113 篇 图书情报与档案管...
- 74 篇 管理科学与工程(可...
- 21 篇 工商管理
117 篇 医学
- 90 篇 临床医学
- 55 篇 基础医学(可授医学...
- 26 篇 药学(可授医学、理...
27 篇 法学
- 26 篇 社会学
17 篇 农学
12 篇 教育学
7 篇 经济学
7 篇 军事学
5 篇 艺术学
4 篇 文学

主题

395 篇 pattern recognit...
191 篇 pattern recognit...
65 篇 feature extracti...
48 篇 neural networks
42 篇 pattern matching
35 篇 face recognition
35 篇 data mining
33 篇 local binary pat...
29 篇 bioinformatics
27 篇 support vector m...
25 篇 image analysis
24 篇 image processing
24 篇 character recogn...
23 篇 image segmentati...
22 篇 deep learning
22 篇 image recognitio...
21 篇 pattern classifi...
21 篇 machine learning
20 篇 training
19 篇 artificial intel...

机构

18 篇 national laborat...
8 篇 chinese acad sci...
5 篇 pattern recognit...
5 篇 university of ch...
4 篇 department of co...
4 篇 rehabil inst chi...
4 篇 tsinghua univers...
4 篇 concordia univ c...
4 篇 shanghai jiao to...
3 篇 centre for patte...
3 篇 univ chinese aca...
3 篇 institute of ima...
3 篇 southwest jiaoto...
3 篇 school of comput...
3 篇 pattern recognit...
3 篇 chinese acad sci...
3 篇 school of comput...
3 篇 institute for pa...
3 篇 chinese acad sci...
3 篇 department of au...

作者

16 篇 suen ching y.
11 篇 xu bo
8 篇 caelli terry
8 篇 tan tieniu
8 篇 yang jie
7 篇 levi j. hargrove
6 篇 hargrove levi j.
6 篇 zhao jun
6 篇 jain anil k.
6 篇 sun zhenan
6 篇 suen cy
6 篇 ney hermann
6 篇 kropatsch walter...
6 篇 huang taiyi
5 篇 zhou jie
5 篇 liu cheng-lin
5 篇 zong chengqing
5 篇 oommen b.j.
5 篇 ablameyko s.
5 篇 bischof walter f...

语言

1,782 篇 英文
18 篇 其他
5 篇 中文

检索条件"任意字段=6th IAPR International Conference on Pattern Recognition in Bioinformatics"

共 1804 条记录，以下是121-130 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：

Automated Emotion recognition through Graphical Cues on Comics at Character Scale 26th

Automated Emotion Recognition Through Graphical Cues on Com...

引用

26th international conference on pattern recognition, ICPR 2022

作者： Ruddy, théodose Jean-Christophe, Burie Arnaud, Revel L3i Laboratory SAIL Joint Laboratory La Rochelle Université La Rochelle Cedex 117042 France

ISBN: (纸本)9783031377419

Emotions are psychological reactions to external events. Characters represented in artistic works may manifest emotions in order to replicate credible and human-like behaviors in specific situations. they also provides important hints to better understand the stakes and the tone of story. In comics, markers of emotions can be found in the dialogues or through visual cues specifically drawn by the artists. While automated emotion extraction on textual information is an active research field, few works have addressed this topic through the graphical grammar of comics (and more generally on drawings). In this paper, we propose to review the different visual tools used by artists to convey expressiveness to their characters and how they can be exploited for automated processing. Some of those cues are strongly related to the human body, its representation and mechanisms. Consequently, we propose to study developed methods for those topics on photography or captured videos. then, we suggest contributions that aimed at facilitating the transition between real and drawn domains. © 2023, Springer Nature Switzerland AG.

关键词： Emotion recognition

来源：评论

学校读者我要写书评

暂无评论

A Comprehensive Review of Machine Learning and Deep Learning Techniques for Rice Leaf Disease Classification 6th

A Comprehensive Review of Machine Learning and Deep Learning...

引用

6th international conference on Computational Intelligence in pattern recognition, CIPR 2024

作者： Tabassum, Tasnim Rafiq, Shifat Ara Zulfiker, Md. Sabab Ritu, Nadia Afrin Biswas, Al Amin Department of CSE Daffodil International University Dhaka Bangladesh Department of CSE Sheikh Hasina University Netrokona Bangladesh Department of Computer Science and Engineering Bangabandhu Sheikh Mujibur Rahman University Kishoreganj Bangladesh Department of CSE Jahangirnagar University Dhaka Bangladesh

ISBN: (纸本)9789819780891

Rice is one of the most significant primary crops and provides a substantial portion of the world’s food for billions of people worldwide. However, several leaf-related diseases pose significant risks to the rice crop’s yield and quality. the traditional approaches to disease identification and classification are frequently arduous and require specialized expertise. the domain of machine learning (ML), deep learning (DL), and the convergence of both of these techniques has emerged as a potential approach that can address this issue and enable immediate and accurate diagnosis of rice leaf disease. Additionally, this study offers a thorough analysis and contrast different approaches, focusing on addressing the initial research questions and identifying potential future possibilities. this study functions as a comprehensive resource for research groups engaged in the development of ML and DL applications specifically targeted at the categorization of rice leaf diseases. In addition to aiding various studies in creating feasible applications based on ML and DL techniques, this review effort will instruct the researchers on how these methods might facilitate the identification of rice leaf disease at an early stage. the insights derived from the study offer useful direction for the advancement of research related to rice leaf diseases. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Fault feature fusion based on entropy-weighted nuisance attribute projection and orthogonal locality preserving projection 6

Fault feature fusion based on entropy-weighted nuisance attr...

引用

6th international conference on Electromechanical Control Technology and Transportation (ICECTT)

作者： Yang, Di Lv, Yong Yuan, Rui Dang, Zhang Wuhan Univ Sci & Technol Sch Machinery & Automat Wuhan Peoples R China

ISBN: (数字)9781510650398

ISBN: (纸本)9781510650398;9781510650381

Traditional feature fusion methods are difficult to extract sensitive features related to fault under various operating conditions. A new feature fusion method is proposed in this paper, which uses the combination of entropy-weighted nuisance attribute projection (EWNAP) and orthogonal locality preserving projections (OLPP) to extract new features. the clustering performance of the proposed method is macroscopically described by the scatter plot graph, and the new feature vectors processed by EWNAP-OLPP as the samples put into the back propagation (BP) neural network for fault pattern recognition.

关键词： Entropy-weighted nuisance attribute projection Orthogonal locality preserving projection Feature fusion fault pattern recognition neural network

来源：评论

学校读者我要写书评

暂无评论

23rd international conference on Next Generation Wired/Wireless Networking, NEW2AN 2023, and 16th conference on Internet of things and Smart Spaces, ruSMART 2023

23rd International Conference on Next Generation Wired/Wirel...

引用

23rd international conference on Next Generation Wired/Wireless Networking, NEW2AN 2023, and 16th conference on Internet of things and Smart Spaces, ruSMART 2023

ISBN: (纸本)9783031609961

the proceedings contain 67 papers. the special focus in this conference is on Next Generation Wired/Wireless Networking. the topics include: Detecting PII Leakage Using DPI and Machine Learning in an Enterprise Environment;deep Learning for Preventing Botnet Attacks on IoT;Design of Multi-polarisation MIMO Antenna for Heterogeneous Smartphone Applications;potential Possibilities of Voice pattern recognition by a Distributed Fiber Optic Sensor;Enhancing Wireless Connectivity through Bayesian-Optimized UAV-BS Positioning and Charging;comparison of Centralized and Federated Machine Learning Techniques for Beamtracking in 5G/6G Systems;exploring the Efficiencies and Vulnerabilities of Smart Door Control Systems: A Systematic Review;System-Level Model for SINR and HPBW Evaluation in 5G mmWave UDN with Location-Aware Beamforming;reinforcement Learning Based Power Allocation for 6G Heterogenous Networks;the Impact of Capacity Averaging in Packet-Level Modeling of 5G NR with Blockage and Micromobility;Interference Mitigation for Reconfigurable Intelligent Surface (RIS)-Aided Non-terrestrial Base Station (NTBS) in NOMA Downlink HetNets;modeling a Digital Avatar of a Car Drivers Based on the Quantification of the Information Environment;A New Blockage Detection Approach for 6G thz Systems;real-Time Anomaly Detection in Network Traffic Using Graph Neural Networks and Random Forest;addressing Security and Privacy Issues in a Smart Environment by Using Blockchain as a Preemptive Technique;the Role of Cryptocurrencies in the Development of Countries and the Fight Against Financial Problems;Designing the UzBCS Lending Platform Network Based on Blockchain Technology and Ensure Transaction Security;decentralized Blockchain Networks and Economic Security: Balancing Scalability and Security Tradeoffs;study of Machine Learning Models for IoT Based Efficient Classroom Usage;transforming Higher Education: A Comprehensive Analysis of Blockchain Technologies and Digitalization.

关键词：

来源：评论

学校读者我要写书评

暂无评论

23rd international conference on Next Generation Wired/Wireless Networking, NEW2AN 2023, and 16th conference on Internet of things and Smart Spaces, ruSMART 2023

23rd International Conference on Next Generation Wired/Wirel...

引用

23rd international conference on Next Generation Wired/Wireless Networking, NEW2AN 2023, and 16th conference on Internet of things and Smart Spaces, ruSMART 2023

ISBN: (纸本)9783031609930

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptive Global Gesture Paths and Signature Features for Skeleton-based Gesture recognition 27th

Adaptive Global Gesture Paths and Signature Features for Ske...

引用

27th international conference on pattern recognition, ICPR 2024

作者： Shi, Dongzi Zhang, Xin Cheng, Jiale Xiong, Tong Ni, Hao South China University of Technology Guangdong Guangzhou510000 China University of North Carolina at Chapel Hill Chapel HillNC27514 United States University College London LondonWC1E6BT United Kingdom

ISBN: (纸本)9783031783531

Gestures exhibit sparse joint variations and different time scales, making local dynamic analysis and global spatio-temporal modeling important. Path signature provides mathematical and dynamic analysis of joint trajectories to assist in spatio-temporal modeling. However, previous methods relied on predefined local spatio-temporal joint trajectories, also known as paths. this limitation makes it challenging to directly capture the dynamics of the entire gesture and adapt to varying scales of gesture changes. In this work, we construct the Adaptive Global Gesture Path and extract its signature features as gesture representations. Specifically, we designed global branch to model the global spatio-temporal variation relationship of joints. the dynamic branch is based on the proposed Motion Guided Cluster Attention Block, which emphasizes joints exhibiting similar motion patterns. Combining two branches, the predicted dynamic and global score can distinguish key joints at different times to construct the Adaptive Global Gesture Path that condensely represents the entire gesture. We conducted experiments on the ChaLearn2013 and WLASL datasets, and achieved the state-of-the-art results with much smaller model size. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Gesture recognition

来源：评论

学校读者我要写书评

暂无评论

Comparative Studies of Stochastic Techniques to Minimize the Cost of Biomass Supply Networks 6th

Comparative Studies of Stochastic Techniques to Minimize the...

引用

6th international conference on Recent Trends in Image Processing and pattern recognition, RTIP2R 2023

作者： Arya, Adarsh Kumar Gautam, Vineeta Kumar, Adarsh Department of Chemical Engineering Harcourt Butler Technical University Uttar Pradesh Kanpur208002 India Department of Oil Technology Harcourt Butler Technical University Uttar Pradesh Kanpur208002 India School of Computer Science University of Petroleum and Energy Studies Dehradun India INTI International University Nilai Malaysia

ISBN: (纸本)9783031530845

the viability of biomass to be used as a consumer product relies heavily on the cost of a Biomass supply network (BSN) that links biomass producers with biorefineries and, finally, with end customers. the current study aims to establish a cost optimization model to minimize the financial burden of BSN. A MILP model has been established and implemented to reduce the costs of a BSN. A comparatively lesser-used stochastic technique, Ant Colony Optimization (ACO), has been used in the present paper to minimize the cost of BSN. Although the ACO technique has succeeded in other settings, it is seldom tested in the context of BSN. the results from the ACO approach have been compared with another popular stochastic optimization technique called the Non-sorting Genetic Algorithm (NSGA-II). According to empirical research, the ACO approach is the most cost-effective optimization technique to lower BSN-related costs. the management may use the blueprint of the optimization model and techniques to develop cost-cutting measures for BSN. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Ant colony optimization

来源：评论

学校读者我要写书评

暂无评论

Face recognition Based on Fusion of Multiple Masks Local Feature Sets Using Wavelet Transform 6

Face Recognition Based on Fusion of Multiple Masks Local Fea...

引用

6th international conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE)

作者： Al-Dabagh, Mustafa Zuhaer Nayef Ahmad, Muhammad Imran Anwar, Said Amirul Univ Malaysia Perlis Fac Elect Engn Technol Perlis Malaysia Knowledge Univ Dept Comp Sci Erbil Iraq

ISBN: (纸本)9781665434027

Although face recognition confronts several challenges, it has garnered considerable attention over the last two decades. A new proposal of local directional pattern (LDP) operator for face recognition has been introduced to overcome different challenges confronting face recognition systems. this new proposal is known as Multi-Mask Local Directional pattern (MMLDP), which integrates the advantages of LDP operator depending on Robinson and Kirsch masks into one feature vector to give more discrimination information. Firstly, the LDP operator applies various masks to obtain the face image feature, and after that, methods such as Left-Right fusion, Right-Left fusion, Down-Up fusion, and Up-Down fusion are used to fuse the features. Finally, by employing a support vector machine (SVM), the classification of the feature ensues. the conducted experiments utilized the Yale database, and outcomes show that fusion of the features for various masks based on LDP improved performance with the best classification accuracy of 94.2857% compared to LDP and other conventional approaches for face recognition.

关键词： Face recognition Local Directional pattern Kirsch mask Robinson Mask Wavelet Transform

来源：评论

学校读者我要写书评

暂无评论

Improve word segmentation performance from unknown language by decreasing meaningless segmentation 6

Improve word segmentation performance from unknown language ...

引用

6th international conference on Computational Intelligence and Intelligent Systems, CIIS 2023

作者： Matsushita, Shinya Takase, Haruhiko Takano, Toshiaki Tomotsugu, Katsuko Graduate School of Engineering Mie University Japan Shizuoka Institute of Science and Technology Japan

ISBN: (纸本)9798400709067

this study discussed text analysis for the preservation of minority languages. Text analysis consists of some steps for the analysis of parsing, etc., but word segmentation is necessary before their advanced analysis. We then focused on word segmentation as the first step in the text analysis. For word segmentation of minority languages without prior knowledge, we considered NPYLM effective, which is an unsupervised method. However, NPYLM caused meaningless segmentation if the training texts were insufficient. Meaningless segmentation is an error where a word is segmented into pieces. In this article, we proposed a method to improve meaningless segmentation. the basic idea of the proposal is that meaningless segmentation is caused by the inappropriate or insufficient growth of words, and we can control the growth of words by selecting words for replacement. We performed simple experiments. the results showed that the proportion of correct words in the obtained word groups is improved: vanilla NPYLM gives about 25%, and the proposed method gives about 50%. thus, the proposed method suppresses meaningless segmentation. © 2023 ACM.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Proceeding - 6th international conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022

Proceeding - 6th International Conference on Information Tec...

引用

6th international conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022

ISBN: (纸本)9798350399615

the proceedings contain 141 papers. the topics discussed include: mangrove species identification using deep neural network;tuning improvement of power system stabilizer using hybrid Harris Hawk optimization-equilibrium optimizer algorithm;a binarized systolic array-based neuromorphic architecture with high efficiency;context-aware recommendation system survey: recommendation when adding contextual information;monte Carlo method for map area calculation in wildland fire map management;calibration-free monocular distance estimation performance assessment under influences of environmental conditions;rice factory warehouse layout design with a combination of association rule and dedicated storage methods;torque analysis of V-type interior PMSM for electric vehicle based on FEA simulation;analysis of marketplace social media user engagement by topic;face expression recognition with local ternary pattern images using convolutional neural network and extreme learning machine;and dual-robotic-manipulator collaborative system based on depth image.

关键词：

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181页 << < 9 10 11 12 13 14 15 16 17 18 > >>

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：