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

6,777 篇 会议
623 册 图书
128 篇 期刊文献

馆藏范围

7,527 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

3,888 篇 工学
- 3,080 篇 计算机科学与技术...
- 1,397 篇 软件工程
- 792 篇 电气工程
- 675 篇 信息与通信工程
- 501 篇 控制科学与工程
- 299 篇 生物工程
- 280 篇 生物医学工程（可授...
- 264 篇 机械工程
- 191 篇 光学工程
- 162 篇 电子科学与技术（可...
- 144 篇 仪器科学与技术
- 140 篇 化学工程与技术
- 59 篇 安全科学与工程
- 45 篇 材料科学与工程（可...
- 36 篇 交通运输工程
1,218 篇 理学
- 670 篇 数学
- 355 篇 物理学
- 334 篇 生物学
- 198 篇 统计学（可授理学、...
- 147 篇 化学
- 105 篇 系统科学
552 篇 管理学
- 314 篇 管理科学与工程(可...
- 254 篇 图书情报与档案管...
- 59 篇 工商管理
274 篇 医学
- 230 篇 临床医学
- 109 篇 基础医学(可授医学...
- 75 篇 药学(可授医学、理...
65 篇 法学
- 61 篇 社会学
51 篇 艺术学
- 49 篇 设计学（可授艺术学...
42 篇 农学
- 39 篇 作物学
20 篇 教育学
19 篇 文学
18 篇 经济学
5 篇 军事学

主题

3,142 篇 pattern recognit...
534 篇 feature extracti...
427 篇 artificial intel...
384 篇 neural networks
294 篇 data mining
276 篇 machine learning
232 篇 face recognition
223 篇 pattern matching
215 篇 support vector m...
203 篇 image segmentati...
194 篇 pattern classifi...
188 篇 computer imaging...
183 篇 computer science
182 篇 local binary pat...
169 篇 computational mo...
159 篇 computer vision
148 篇 humans
146 篇 testing
141 篇 accuracy
141 篇 training

机构

40 篇 school of comput...
38 篇 national laborat...
25 篇 institute of ima...
24 篇 center for resea...
24 篇 computer vision ...
22 篇 institute of ima...
22 篇 university of ch...
21 篇 department of co...
20 篇 indian statistic...
19 篇 national laborat...
19 篇 institute of com...
16 篇 tongji universit...
16 篇 chinese academy ...
15 篇 institute for pa...
14 篇 national center ...
14 篇 chinese acad sci...
14 篇 częstochowa univ...
13 篇 agh university o...
13 篇 school of electr...
12 篇 indian stat inst...

作者

35 篇 yang jie
31 篇 de-shuang huang
25 篇 tieniu tan
23 篇 umapada pal
19 篇 ryszard tadeusie...
19 篇 liang wang
18 篇 ajith abraham
17 篇 marcin korytkows...
17 篇 lu hanqing
17 篇 jacek m. zurada
17 篇 leszek rutkowski
16 篇 jie yang
16 篇 zhenan sun
16 篇 shamsuddin siti ...
16 篇 pal umapada
15 篇 wang da-han
15 篇 chew lim tan
15 篇 rafał scherer
14 篇 xu changsheng
14 篇 lotfi a. zadeh

语言

7,402 篇 英文
73 篇 中文
60 篇 其他

检索条件"任意字段=International Conference of Soft Computing and Pattern Recognition"

共 7529 条记录，以下是311-320 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：

soft computing algorithms for infrastructure monitoring. Preliminary results of PROION project 9

Soft computing algorithms for infrastructure monitoring. Pre...

引用

9th international conference on Remote Sensing and Geoinformation of the Environment, RSCy 2023

作者： Nikolakopoulos, Konstantinos Mpelogianni, Vassiliki Groumpos, Peter Kyriou, Aggeliki Ganas, Athanassios Charalampopoulou, Vassiliki Athanasopoulos, Theodoros Department of Geology University of Patras Greece Department of Electrical and Computer Engineering University of Patras Greece National Observatory of Athens Greece Geosystems Hellas SA Greece ES Systems Greece

ISBN: (纸本)9781510668225

Structural health monitoring of civil infrastructures is a complex engineering problem that requires the use of advanced soft computing algorithms. The rapid advances in soft computing have been a step forward in the direction of infrastructure monitoring. The field of computer science has given promising results in monitoring systems when applied along with engineering technologies. In this framework, Artificial Intelligence (AI) Deep and Machine Learning applications, Neural Networks, Fuzzy Logic, Fuzzy Cognitive Maps (FCM), Genetics Algorithms and Hybrid systems are growing exponentially in the field of structural health monitoring, including structural recognition, change detection, crack detection, damage identification, damage quantification and damage prediction. Specifically, some of the above-mentioned more sophisticated infrastructure soft computing monitoring algorithms are utilized to generate strategies and processing pipelines towards structural building damage mapping and assessment. In this paper remote sensing data, acquired by Global Navigation Satellite System (GNSS), Synthetic Aperture Radar (SAR), Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicles (UAV) sensors will be processed and a state-of-theart unified platform imbedding Neural Networks, Fuzzy Cognitive Maps and Hybrid systems in the field of Structural Health Monitoring of civil structures is proposed. © 2023 SPIE.

关键词： Structural health monitoring

来源：评论

学校读者我要写书评

暂无评论

Control of Hand Prostheses using EMG based pattern recognition: A Review of Existing Classification Techniques and Future Implementation 5

Control of Hand Prostheses using EMG based Pattern Recogniti...

引用

5th international conference on Inventive Research in computing Applications, ICIRCA 2023

作者： Emayavaramban, G. Santhosh Kumar, T. Amudha, A. Siva Ramkumar, M. Selvaganapathi, T. Sivaraju, S. Karpagam Academy of Higher Education Department of Electrical and Electronics Engineering Coimbatore India Rvs College of Engineering and Technology Department of Electrical and Electronics Engineering Coimbatore India

ISBN: (纸本)9798350321425

Electromyography (EMG) signal is a type of biological signal that comes from the activity of nerves and muscles. Most of the time, an EMG device is used to record the EMG data. These signs are used to check for medical problems, find out how active an animal is, and figure out how it moves. Hand prosthesis is a device which used to replace the missing part of human parts. It enables amputees to perform their daily activity without anyone supports. This research provides a quick overview on how EMG classification methods work for hand prosthesis. Finally, this study found that 80% to 99% of the times, the present technologies are good enough to pick up and classify the EMG signals. Once the signal is recorded, the accuracy of recognition is based on the classification algorithms used. Signals are then decoded for their intended use, such as moving a robotic arm, recognizing speech, analyzing gait, etc. The accuracy of decoding the EMG signal has already gone above 99%, and it will get even better with the new deep learning technology. This review study helps to understand how well new methods are suitable for classifying EMG signals. © 2023 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Quantum computing in Music: Complex pattern recognition in Piano Music

Quantum Computing in Music: Complex Pattern Recognition in P...

引用

Telecommunications and Power Electronics (TELEPE), international conference on

作者： Wei He School of International Communication and Arts Hainan University Haikou Hainan China

ISBN: (数字)9798350369212

ISBN: (纸本)9798350380002

Music, as a form of art characterized by its complexity and diversity, holds significant cultural and emotional value for humanity. Piano music, being a prominent representative, demands efficient and precise recognition and analysis of its intricate harmonic, melodic, and rhythmic patterns. Traditional computational approaches often face limitations in handling such intricate patterns. However, quantum computing, emerging as a novel computational paradigm, presents new avenues for addressing these challenges. This paper aims to explore the potentials and methodologies of quantum computing in the realm of music, particularly focusing on the intricate pattern recognition of piano music. We introduce the fundamental principles and advantages of quantum computing. Subsequently, we delve into the application of quantum algorithms in piano music analysis, specifically addressing the recognition of harmonic structures and rhythmic patterns. Finally, we envision the future trends and challenges of quantum computing technology in the realm of music. Through this research endeavor, we aim to gain deeper insights into the potential of quantum computing in the field of music and offer novel ideas and methodologies for future investigations.

关键词： Computers Technological innovation Quantum computing Quantum algorithm Quantum entanglement Face recognition Music Harmonic analysis Stability analysis Hardware

来源：评论

学校读者我要写书评

暂无评论

DeepPRS: A Deep Learning Integrated pattern recognition Methodology for Secure Data in Cloud Environment 13th

DeepPRS: A Deep Learning Integrated Pattern Recognition Meth...

引用

13th international conference on Innovations in Bio-Inspired computing and Applications, IBICA 2022, and 12th World Congress on Information and Communication Technologies, WICT 2022

作者： Remesh Babu, K.R. Saritha, S. Preetha, K.G. Unnikrishnan, Sangeetha Izudheen, Sminu Government Engineering College Kerala Idukki India Rajagiri School of Engineering and Technology Kerala Kochi India Government Engineering College Kerala Palakkad India

ISBN: (纸本)9783031274985

The distributed data environment in the cloud poses many security and privacy challenges. The cloud environments and the Intrusion Detection System (IDS) for the same should work with low latency and high efficacy. This paper proposes a Deep learning integrated pattern recognition methodology for Secure (DeepPRS) data in cloud environment. The proposed methodology works in two phases, (i) the first phase runs a single pattern matching algorithm named as PRS algorithm that takes as input – data supplied by the centralized controller, attack history, feature data and detect patterns (ii) the second phase which runs a deep learning model to label the detected pattern as attack or non-attack type. The performance analysis of the proposed algorithm is compared with the existing pattern matching algorithms such as KMP (Knuth-Morris-Pratt Algorithm) and BM (Boyer-Moore).The experimental results shows that the performance of the PRS algorithm is highly appreciable in terms of latency. The detected pattern from the PRS algorithm is fed into a Deep Learning model to classify the type of pattern as either attack or non-attack kind. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Signal Processing and soft computing Techniques Driven Analysis of Chhattisgarhi Dialects Using MFCCs 1

Signal Processing and Soft Computing Techniques Driven Analy...

引用

1st IEEE international conference on Smart and Sustainable Developments in Electrical Engineering, SSDEE 2025

作者： Gupta, Madhuri Mishra, Megha Bagga, Jaspal Department of Computer Science Bhilai India Shri Shankaracharya Technical Campus Department of Computer Science Bhilai India Shri Shankaracharya Technical Campus Department of Information Technology Bhilai India

ISBN: (纸本)9798331542108

Chhattisgarhi, spoken by over 12 million people in Chhattisgarh, is the most prominent, holding official language status and serving as a cultural and linguistic identifier. Baheliya and Chamari, though less documented, are vital to the region's linguistic diversity. This research investigates the acoustic and phonetic characteristics of three central Indian dialects - Chhattisgarhi, Baheliya, and Chamari - using advanced machine learning techniques and robust feature extraction methods. Leveraging Mel-Frequency Cepstral Coefficients (MFCCs) for feature extraction, this study examines statistical parameters such as mean, median, and variance to distinguish the spectral properties of these dialects. Our contribution includes a detailed analysis of dialectal variations, revealing that Chamari exhibits the highest mean MFCC1 value (0.223), indicative of its higher spectral energy, while Chhattisgarhi shows the most negative mean MFCC2 (-0.322), reflecting unique spectral distinctions. Variance analysis highlights Baheliya and Chhattisgarhi as having greater spectral diversity, particularly in MFCC1 and MFCC2, showcasing their phonetic variability. These findings underline the acoustic uniqueness of each dialect, bridging gaps in existing research on underrepresented dialects. This work contributes to the preservation of linguistic diversity and provides a strong foundation for designing ASR systems tailored to regional dialects, addressing critical challenges in multilingual speech recognition. © 2025 IEEE.

关键词： Speech recognition

来源：评论

学校读者我要写书评

暂无评论

26th international conference on pattern recognition, ICPR 2022

26th International Conference on Pattern Recognition, ICPR 2...

引用

26th international conference on pattern recognition, ICPR 2022

ISBN: (纸本)9783031376597

The proceedings contain 49 papers. The special focus in this conference is on . The topics include: Toward Surroundings-Aware Temporal Prediction of 3D Human Skeleton Sequence;MTGR: Improving Emotion and Sentiment Analysis with Gated Residual Networks;a Computational Approach for Analysing Autistic Behaviour During Dyadic Interactions;region-Based Trajectory Analysis for Abnormal Behaviour Detection: A Trial Study for Suicide Detection and Prevention;automated Behavior Labeling During Team-Based Activities Involving Neurodiverse and Neurotypical Partners Using Multimodal Data;emergence of Collaborative Hunting via Multi-Agent Deep Reinforcement Learning;computational Multimodal Models of Users’ Interactional Trust in Multiparty Human-Robot Interaction;an Exploratory Study on Group Potency Classification from Non-verbal Social Behaviours;multi-Channel Time-Series Person and soft-Biometric Identification;to Invest or Not to Invest: Using Vocal Behavior to Predict Decisions of Investors in an Entrepreneurial Context;appearance-Independent Pose-Based Posture Classification in Infants;enhancing the Linear Probing Performance of Masked Auto-Encoders;involving Density Prior for 3D Point Cloud Contrastive Learning;joint Masked Autoencoding with Global Reconstruction for Point Cloud Learning;understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection;deep Learning Architectures for Pain recognition Based on Physiological Signals;Egocentric Hand Gesture recognition on Untrimmed Videos Using State Activation Gate LSTMs;representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting recognition;active Learning Monitoring in Classroom Using Deep Learning Frameworks;pain Detection in Biophysiological Signals: Transfer Learning from Short-Term to Long-Term Stimuli Based on Signal Segmentation;leveraging Sentiment Analysis Knowledge to Solve Emotion Detection Tasks;emotion, Age and Gender Prediction Through Ma

关键词：

来源：评论

学校读者我要写书评

暂无评论

ISM 2022 - 4th international conference on Industry 4.0 and Smart Manufacturing

ISM 2022 - 4th International Conference on Industry 4.0 and ...

引用

4th international conference on Industry 4.0 and Smart Manufacturing, ISM 2022

The proceedings contain 199 papers. The topics discussed include: infrastructure network support and leapfrogging Africa to Industry 4.0: the case of Tanzania;comparison of energy-use efficiency for lettuce plantation under nutrient film technique and deep-water culture hydroponic systems;an edge-cloud based reference architecture to support cognitive solutions in process industry;logistics 4.0 in intermodal freight transport;analysis of sustainable concrete obtained from the by-products of an industrial process and recycled aggregates from construction and demolition waste;intelligent concrete surface cracks detection using computer vision, pattern recognition, and artificial neural networks;spatial change recognition model using artificial intelligence to remote sensing;smart trip prediction model for metro traffic control using data mining techniques;encryption and generation of images for privacy-preserving machine learning in smart manufacturing;and using analytical and data-driven methods to develop a soft-sensor for flow rate monitoring in tube extrusion.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Application and effectiveness of weighted KNN in pattern recognition of communication modulated signals 4

Application and effectiveness of weighted KNN in pattern rec...

引用

4th IEEE international conference on Civil Aviation Safety and Information Technology, ICCASIT 2022

作者： Li, Yulin Hong, Guihang Feng, Congran Beijing Jiaotong University Beijing China Sun Yat-sen University Guangzhou China Hainan University Haikou China

ISBN: (数字)9781665467667

ISBN: (纸本)9781665467667

Modulation pattern recognition of communication signals is a key technology in wireless communication, and the continuous complexity of the channel environment has put forward higher requirements on the communication signal modulation capability. This paper proposes a pattern recognition method of communication modulated signal based on weighted KNN. Firstly, signals of different modulation modes were generated in MATLAB. Then, the modulated signal features in the time and frequency domain were extracted, and the information entropy was included. Secondly, the extracted features were used to train and test the weighted KNN algorithm. By comparing the recognition effect of the modulated signals before and after signal feature extraction, it is concluded that feature extraction has a substantial improvement on the recognition accuracy and computing efficiency of weighted KNN, and different features have a significant effect on the recognition. © 2022 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Follicular Unit Registration Based on Binocular Stereo Vision for Hair Transplantation Surgery Robot 6

Follicular Unit Registration Based on Binocular Stereo Visio...

引用

6th international conference on Data Science and Information Technology, DSIT 2023

作者： Wang, Weiduo Liu, Jinfeng Yang, Jie Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition Department of Automation China Shanghai Jiao Tong University Institute of Medical Robotics China

ISBN: (纸本)9798350304442

In this paper, we focus on the follicular unit registration problem for hair transplantation surgery robots based on binocular stereo vision system. The follicular units in both images are detected with YOLO V5 network. Because of the dull and similar pattern of the follicular units, previous regular methods which are pixel-based are reported with misalignment and poor accuracy. To solve this problem, we propose the context shape to describe the feature of the follicular unit. The distribution of units surrounding the target unit is estimated as the context shape. Then, Otsu's method is used to segment hairs and Hungarian algorithm is used to match the hairs in the matched follicular unit. Then, the hairs are projected to 3D coordinate system and reconstructed. The experiments on the generated hair dataset demonstrate that the proposed method achieves both high accuracy and speed. © 2023 IEEE.

关键词： Stereo vision

来源：评论

学校读者我要写书评

暂无评论

pattern recognition on Railway Points with Machine Learning: A Real Case Study 2nd

Pattern Recognition on Railway Points with Machine Learning:...

引用

2nd international conference on Ubiquitous computing and Intelligent Information Systems (ICUIS)

作者： Munoz del Rio, Alba Ramirez, Isaac Segovia Garcia Marquez, Fausto Pedro Univ Castilla La Mancha Ingenium Res Grp Ciudad Real 13071 Spain

ISBN: (纸本)9789811925412;9789811925405

Railway points are crucial components to ensure the reliability of railway networks. Several types of condition monitoring systems are widely applied in the industry with the aim of early fault detection, since the presence of faults can cause reductions in operational safety, delays and increased maintenance costs. The application of fault detection systems and pattern recognition tools is essential to ensure new improvements in the industry. The novelty proposed in this work is the application of statistical analysis and Machine Learning techniques in power curves defined by the movement of the motors in the opening and closing movements. The Shapelets algorithm is selected for pattern recognition, analyzing curves with abnormal distribution that demonstrate the presence of faults. The results provide high accuracy with performance measures above 90%.

关键词： Machine learning pattern recognition Railway points Shapelets algorithm

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 << < 28 29 30 31 32 33 34 35 36 37 > >>

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：