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

4,073 篇 会议
70 篇 期刊文献
18 册 图书

馆藏范围

4,161 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,832 篇 工学
- 2,273 篇 计算机科学与技术...
- 1,265 篇 软件工程
- 472 篇 信息与通信工程
- 460 篇 生物医学工程（可授...
- 413 篇 光学工程
- 393 篇 电气工程
- 351 篇 生物工程
- 232 篇 控制科学与工程
- 188 篇 电子科学与技术（可...
- 177 篇 机械工程
- 107 篇 化学工程与技术
- 105 篇 仪器科学与技术
- 69 篇 安全科学与工程
- 59 篇 交通运输工程
- 54 篇 材料科学与工程（可...
1,147 篇 理学
- 574 篇 数学
- 407 篇 物理学
- 392 篇 生物学
- 220 篇 统计学（可授理学、...
- 111 篇 化学
609 篇 医学
- 512 篇 临床医学
- 240 篇 基础医学(可授医学...
- 156 篇 药学(可授医学、理...
- 118 篇 特种医学
- 66 篇 公共卫生与预防医...
471 篇 管理学
- 266 篇 图书情报与档案管...
- 232 篇 管理科学与工程(可...
- 94 篇 工商管理
64 篇 农学
- 58 篇 作物学
59 篇 法学
- 56 篇 社会学
44 篇 教育学
30 篇 经济学
21 篇 文学
12 篇 艺术学
2 篇 军事学

主题

284 篇 feature extracti...
208 篇 image segmentati...
184 篇 image analysis
173 篇 deep learning
172 篇 computer vision
151 篇 image color anal...
140 篇 accuracy
132 篇 training
116 篇 convolutional ne...
94 篇 pattern recognit...
93 篇 machine learning
91 篇 principal compon...
89 篇 support vector m...
89 篇 visualization
86 篇 data mining
78 篇 computational mo...
74 篇 task analysis
74 篇 neural networks
71 篇 shape
66 篇 computer science

机构

18 篇 chitkara univers...
10 篇 lloyd institute ...
8 篇 department of co...
7 篇 lovely professio...
6 篇 school of comput...
6 篇 department of co...
6 篇 department of co...
6 篇 univ york dept c...
6 篇 lloyd law colleg...
5 篇 computer science...
5 篇 department of co...
4 篇 school of comput...
4 篇 dept. of orthopa...
4 篇 dept. of compute...
4 篇 fraunhofer insti...
4 篇 dept. of automat...
4 篇 univ groningen g...
4 篇 computer science...
4 篇 department of co...
4 篇 univ auckland en...

作者

29 篇 hancock edwin r.
18 篇 klette reinhard
9 篇 petkov nicolai
9 篇 wilson richard c...
8 篇 jiang xiaoyi
8 篇 putzu lorenzo
8 篇 azzopardi george
7 篇 wang bin
7 篇 leow wee kheng
7 篇 radeva petia
7 篇 tan chew lim
6 篇 vinay kukreja
6 篇 gao xinbo
6 篇 imiya atsushi
6 篇 di ruberto cecil...
5 篇 chew lim tan
5 篇 borghi guido
5 篇 chen hao
5 篇 popescu dan
5 篇 howe tet sen

语言

4,085 篇 英文
71 篇 其他
9 篇 中文
1 篇 俄文

检索条件"任意字段=10th International Conference on Computer Analysis of Images and Patterns"

共 4161 条记录，以下是1-10 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：

20th international conference on computer analysis of images and patterns, CAIP 2023

20th International Conference on Computer Analysis of Images...

引用

20th international conference on computer analysis of images and patterns, CAIP 2023

ISBN: (纸本)9783031442360

the proceedings contain 54 papers. the special focus in this conference is on international conference on computer analysis of images and patterns. the topics include: Empirical Study of Attention-Based Models for Automatic Classification of Gastrointestinal Endoscopy images;classification of Breast Micro-calcifications as Benign or Malignant Using Subtraction of Temporally Sequential Digital Mammograms and Machine Learning;fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation;stroke Risk Stratification Using Transfer Learning on Carotid Ultrasound images;A Comparative Study of Explainable AI models in the Assessment of Multiple Sclerosis;biometric Recognition of African Clawed Frogs;Teacher-Student Synergetic Knowledge Distillation for Detecting Alcohol Consumption in NIR Iris images;performance Assessment of Fine-Tuned Barrier Recognition Models in Varying Conditions;Keyrtual: A Lightweight Virtual Musical Keyboard Based on RGB-D and Sensors Fusion;classification of Honey Pollens with ImageNet Neural Networks;highly Crowd Detection and Counting Based on Curriculum Learning;defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space;unsupervised State Representation Learning in Partially Observable Atari Games;structural analysis of the Additive Noise Impact on the α-tree;Augmented Reality for Indoor Localization and Navigation: the Case of UNIPI AR Experience;a Benchmark and Investigation of Deep-Learning-Based Techniques for Detecting Natural Disasters in Aerial images;Perceptual Light Field Image Coding with CTU Level Bit Allocation;a Comparative Performance Assessment of Different Video Codecs;race Bias analysis of Bona Fide Errors in Face Anti-spoofing;fall Detection with Event-Based Data: A Case Study;towards Accurate and Efficient Sleep Period Detection Using Wearable Devices;RLSTM: A Novel Residual and Recurrent Network for Pedestrian Action Classification;Temporal Sequences of EEG Covariance

关键词：

来源：评论

学校读者我要写书评

暂无评论

20th international conference on computer analysis of images and patterns, CAIP 2023

20th International Conference on Computer Analysis of Images...

引用

20th international conference on computer analysis of images and patterns, CAIP 2023

ISBN: (纸本)9783031442391

关键词：

来源：评论

学校读者我要写书评

暂无评论

19th international conference on computer analysis of images and patterns, CAIP 2021

19th International Conference on Computer Analysis of Images...

引用

19th international conference on computer analysis of images and patterns, CAIP 2021

ISBN: (纸本)9783030891305

the proceedings contain 87 papers. the special focus in this conference is on computer analysis of images and patterns. the topics include: Preface;simultaneous Bi-directional Structured Light Encoding for Practical Uncalibrated Profilometry;HPA-Net: Hierarchical and Parallel Aggregation Network for Context Learning in Stereo Matching;MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching;H-OCS: A Hybrid Optic Cup Segmentation of Retinal images;retinal Vessel Segmentation Using Blending-Based Conditional Generative Adversarial Networks;U-Shaped Densely Connected Convolutions for Left Ventricle Segmentation from CMR images;deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy images;shape analysis Approach Towards Assessment of Cleft Lip Repair Outcome;MMEC: Multi-Modal Ensemble Classifier for Protein Secondary Structure Prediction;patch-Level Nuclear Pleomorphism Scoring Using Convolutional Neural Networks;automatic Myelofibrosis Grading from Silver-Stained images;Joint Global ICP for Improved Automatic Alignment of Full Turn Object Scans;a Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological images;HEp-2 Cell Image Recognition with Transferable Cross-Dataset Synthetic Samples;clinically Guided Trainable Soft Attention for Early Detection of Oral Cancer;small and Large Bile Ducts Intrahepatic Cholangiocarcinoma Classification: A Preliminary Feature-Based Study;A Review on Breast Cancer Brain Metastasis: Automated MRI Image analysis for the Prediction of Primary Cancer Using Radiomics;An Adaptive Semi-automated Integrated System for Multiple Sclerosis Lesion Segmentation in Longitudinal MRI Scans Based on a Convolutional Neural Network;a three-Dimensional Reconstruction Integrated System for Brain Multiple Sclerosis Lesions;Rule Extraction in the Assessment of Brain MRI Lesions in Multiple Sclerosis: Preliminary Findings;progressive Contextual Excitation for Smart Farming Application.

关键词：

来源：评论

学校读者我要写书评

暂无评论

19th international conference on computer analysis of images and patterns, CAIP 2021

19th International Conference on Computer Analysis of Images...

引用

19th international conference on computer analysis of images and patterns, CAIP 2021

ISBN: (纸本)9783030891275

关键词：

来源：评论

学校读者我要写书评

暂无评论

Dental Anomalies Detection Based on the analysis of Reconstructed Intraoral Scan images 10

Dental Anomalies Detection Based on the Analysis of Reconstr...

引用

10th international conference on Information Technology and Nanotechnology, ITNT 2024

作者： Pchelkina, Yuliya Paringer, Rustam Savelyeva, Polina Samara National Research University Samara Russia Samara National Research University Ipsi Ras - Branch Of The Fsrc 'Crystallography And Photonics' Samara Russia Moscow Regional Clinical Research Institute Named After M.F. Vladimirsky Moscow Russia

ISBN: (纸本)9798350372939

A method for automated detecting dental system anomalies by identifying the dentition areas and comparing patterns on the reconstructed medical data of oral objects' models is proposed. the algorithm includes the stages of segmentation and identification of dentition areas using computer vision methods and is a unified method that that does not depend on the scanner model. © 2024 IEEE.

关键词： Image analysis

来源：评论

学校读者我要写书评

暂无评论

Machine learning-based automatic implant size prediction from CT images in total knee arthroplasty 10

Machine learning-based automatic implant size prediction fro...

引用

10th IEEE RAS/EMBS international conference for Biomedical Robotics and Biomechatronics (BioRob)

作者： Katragadda, Sandeep de Souza, Kevin Stryker UK Digital Robot & Enabling Technol Div Newbury Berks England

ISBN: (纸本)9798350386523;9798350386530

Prediction of suitable implant sizes from CT images of a joint anatomy can be achieved using templating methods. Automatic templating (that requires no manual intervention) is useful for speeding up computer or robot-assisted surgical plan generation. In our previous work, the automatic templating task in total knee arthroplasty is achieved by automatic bone segmentation followed by matching a set of anatomical landmarks with the corresponding points on the candidate implants (of different sizes). this paper improves the approach by adding a linear regression module to the framework and thereby increases the prediction accuracy significantly without increasing the processing time. Experimental analysis on 292 knee CT images proved that the proposed approach predicts the implant sizes in more than 95% of femur cases and in more than 98% of tibia cases with at most 1-size difference from the sizes used by an experienced surgeon.

关键词： Arthroplasty

来源：评论

学校读者我要写书评

暂无评论

Predicting Asthma Attacks through AI-Powered thermal Imaging analysis of Breathing patterns 10

Predicting Asthma Attacks Through AI-Powered Thermal Imaging...

引用

IEEE 10th international conference on Big Data Computing Service and Machine Learning Applications (IEEE BigDataService)

作者： Hamza, Amir Himeur, Yassine Amira, Abbes Oulefki, Adel Univ Jijel Dept Elect Nondestruct Lab Jijel Algeria Univ Dubai Coll Engn & Informat Technol Dubai U Arab Emirates Univ Sharjah Dept Comp Sci Sharjah U Arab Emirates De Montfort Univ Inst Artificial Intelligence Leicester Leics England

ISBN: (纸本)9798350366396;9798350366389

Breathing patterns understanding plays a crucial role in assessing human health, notably in the early detection and prediction of asthma attacks. Identifying these patterns, including inhalation and exhalation, is essential for doctors. However, the current methods, such as invasive techniques like belts or nasal probes, often cause considerable discomfort to patients. Given the rapid advancements in artificial intelligence (AI) and computer vision, there is a pressing need to leverage these technologies for developing non-invasive diagnostic solutions. Leveraging the precision of AI, this study introduces an innovative asthma attack prediction model employing contactless thermal imaging to evaluate asthma severity. By meticulously analyzing thermal patterns emanating from the nasal area, our model promises a groundbreaking shift in asthma diagnostics. Validation on a robust benchmark dataset collected at the University of Technology Malaysia showcased exceptional performance metrics, with accuracy, precision, recall, and F1-score each reaching an unprecedented 99.49%, 98.01%, 98.4%, and 99.2% respectively. Beyond its high accuracy, this method emphasizes patient comfort and accessibility, potentially democratizing asthma management across varied healthcare settings. this research not only underscores the feasibility of non-invasive asthma assessment but also sets a precedent for future explorations in leveraging computer vision for respiratory condition diagnostics.

关键词： Asthma attack prediction Transfer learning thermal images VGG16 Inhale Exhale

来源：评论

学校读者我要写书评

暂无评论

Pediatric Pneumonia Detection in Chest X-ray images: A Deep Feature analysis Approach Enhanced with LightGBM 10

Pediatric Pneumonia Detection in Chest X-ray Images: A Deep ...

引用

10th IEEE international conference on Electronics, Computing and Communication Technologies (IEEE CONECCT)

作者： Godbin, A. Beena Jasmine, S. Graceline Vellore Inst Technol Sch Comp Sci & Engn Chennai Tamil Nadu India

ISBN: (纸本)9798350385939;9798350385922

Pediatric pneumonia remains a significant concern for public health, underscoring the need for efficient and precise diagnostic tools to enable timely intervention. In this research, we introduce a novel approach for detecting pediatric pneumonia in chest X-ray images. Our method leverages deep features extracted from DenseNet169, MobileNet, and EfficientNetB0 Neural Networks, which capture intricate patterns and textures indicative of pneumonia presence. these extracted features are then inputted into LightGBM, enabling effective learning of complex data patterns and relationships for classification purposes. We evaluated the effectiveness of our technique using a dataset comprising 5856 chest X-ray images from patients. Our approach achieved a remarkable accuracy of 96.16% with EfficientNet in binary classification (Pneumonia, Normal). Our method boasts several advantages, including robustness to variations in image quality, scalability, and interpretability. We evaluated our model's performance based on metrics such as accuracy, sensitivity, precision, specificity, and F1-score, highlighting the potential of combining deep learning and gradient boosting techniques for pediatric pneumonia detection. this paves the way for improved clinical decision support systems in pediatric healthcare settings.

关键词： Pneumonia Machine Learning Deep Learning CNN Transfer Learning Chest X-Rays

来源：评论

学校读者我要写书评

暂无评论

Sensor-Based Gait analysis and Machine Learning for Predictive Fall Risk Assessment in Adults 10

Sensor-Based Gait Analysis and Machine Learning for Predicti...

引用

10th international conference on Biosignals, images and Instrumentation, ICBSII 2024

作者： Gayathri, T. Sathivel, Boopathi Indiera, M. Sanjay Kumar, C. Pravin Kumar, S. SudalaiMani, B. Kpr Institute of Engineering and Technology Department of Biomedical Engineering Coimbatore India Prashan Medical Technologies Coimbatore India

ISBN: (纸本)9798350350951

the need for fall prediction and prevention measures arose from the increasing global ageing population's increased incidence of falls among the elderly. the combination of Internet of things (IoT) devices and machine learning algorithms is becoming more and more prevalent in these methods. these algorithms are able to identify changes in gait patterns based on data gathered from many sensors, such as accelerometers and gyroscopes, providing early warning signs of approaching falls. © 2024 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

CHARACTERIZING RESIDENTIAL BUILDING patterns IN HIGH-DENSITY CITIES USING GRAPH CONVOLUTIONAL NEURAL NETWORKS 29th

CHARACTERIZING RESIDENTIAL BUILDING PATTERNS IN HIGH-DENSITY...

引用

29th international conference of the Association-for-computer-Aided-Architectural-Design-Research-in-Asia (CAADRIA)

作者： Jia, Muxin Zhang, Kaiheng Narahara, Taro New Jersey Inst Technol Newark NJ 07102 USA

ISBN: (纸本)9789887891826

In urban morphology studies, accurately classifying residential building patterns is crucial for informed zoning and urban design guidelines. While machine learning, particularly neural networks, has been widely applied to urban form taxonomy, most studies focus on grid-like data from street-view images or satellite imagery. Our paper provides a novel framework for graph classification by extracting features of clustering buildings at different scales and training a spectral-based GCN model on graph-structured data. Furthermore, from the perspective of urban designers, we put forward corresponding design strategies for different building patterns through data visualization and scenario analysis. the findings indicate that GCN has a good performance and generalization ability in identifying residential building patterns, and this framework can aid urban designers or planners in decision-making for diverse urban environments in Asia.

关键词： Urban morphology Machine learning Building pattern classification Graph convolutional neural networks

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417页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：