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

46,183 篇 会议
1,022 册 图书
646 篇 期刊文献
2 篇 学位论文

馆藏范围

47,852 篇 电子文献
8 种 纸本馆藏

日期分布

学科分类号

30,886 篇 工学
- 16,965 篇 计算机科学与技术...
- 14,130 篇 软件工程
- 8,232 篇 控制科学与工程
- 5,534 篇 机械工程
- 5,242 篇 信息与通信工程
- 3,658 篇 电气工程
- 3,343 篇 化学工程与技术
- 3,243 篇 生物工程
- 2,905 篇 生物医学工程（可授...
- 2,695 篇 电子科学与技术（可...
- 2,658 篇 材料科学与工程（可...
- 2,541 篇 仪器科学与技术
- 2,388 篇 动力工程及工程热...
- 2,067 篇 光学工程
- 2,053 篇 力学（可授工学、理...
- 1,930 篇 土木工程
- 1,598 篇 建筑学
- 1,414 篇 冶金工程
- 1,394 篇 交通运输工程
15,533 篇 理学
- 6,835 篇 数学
- 5,017 篇 物理学
- 3,563 篇 生物学
- 2,749 篇 化学
- 2,012 篇 统计学（可授理学、...
- 1,533 篇 系统科学
6,987 篇 管理学
- 4,616 篇 管理科学与工程(可...
- 2,527 篇 图书情报与档案管...
- 2,402 篇 工商管理
2,417 篇 医学
- 2,093 篇 临床医学
- 1,854 篇 基础医学(可授医学...
1,196 篇 法学
1,184 篇 经济学
889 篇 教育学
885 篇 农学
178 篇 军事学
162 篇 文学
53 篇 艺术学
12 篇 哲学
2 篇 历史学

主题

1,223 篇 accuracy
1,155 篇 robots
910 篇 robot sensing sy...
889 篇 feature extracti...
814 篇 deep learning
794 篇 training
764 篇 real-time system...
659 篇 mobile robots
657 篇 artificial intel...
640 篇 computational mo...
529 篇 machine learning
494 篇 support vector m...
475 篇 convolutional ne...
466 篇 internet of thin...
452 篇 visualization
428 篇 robot kinematics
409 篇 predictive model...
407 篇 robotics and aut...
397 篇 robustness
378 篇 control systems

机构

128 篇 department of co...
75 篇 school of mechan...
73 篇 maharishi school...
68 篇 university of sc...
63 篇 department of co...
61 篇 chitkara univers...
60 篇 school of automa...
54 篇 school of automa...
48 篇 university of ch...
45 篇 school of mechan...
42 篇 department of el...
40 篇 school of comput...
39 篇 school of mechan...
39 篇 college of infor...
38 篇 computer science...
38 篇 state key labora...
36 篇 maharishi univer...
35 篇 department of el...
35 篇 vishwakarma inst...
33 篇 school of instru...

作者

40 篇 wang lei
39 篇 zhang lei
36 篇 liu yang
33 篇 youngil youm
32 篇 wu xinyu
27 篇 zhang tao
27 篇 li xin
25 篇 lei wang
25 篇 munsang kim
25 篇 sharma vishnu
24 篇 zexiang li
24 篇 wang jian
23 篇 li peng
23 篇 li yang
23 篇 wang jing
22 篇 xinyu wu
22 篇 rakesh kumar
21 篇 wang hui
21 篇 qingsong xu
19 篇 zhao jie

语言

42,101 篇 英文
5,383 篇 其他
466 篇 中文
1 篇 法文
1 篇 朝鲜文

检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

共 47854 条记录，以下是1371-1380 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：

MAAS-Net: Efficient Multi-Scale Attention Aggregation Supervision Network for Tire Tread Segmentation 4

MAAS-Net: Efficient Multi-Scale Attention Aggregation Superv...

引用

4th international conference on Industrial Automation, robotics and Control engineering, IARCE 2024

作者： Ji, Xu Tian, Yongqin Xu, Yibo Liu, Dehua Zhao, Wenyi Zhao, Liang Yang, Mu Yang, Huihua School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China School of Information Engineering Henan Institute of Science and Technology Xinxiang China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Industrial Technology Co. Ltd. Beijing China

ISBN: (纸本)9798350380323

Overlap detection plays a critical role in ensuring tire safety performance, as defects like overlapping anomalies due to mold aging and wear elevate the risk of tire blowouts. However, traditional edge detection algorithms entail a cumbersome manual parameter adjustment process and are limited to fixed hardware equipment scenarios, thereby compromising the flexibility and robustness of surface defect detection. Moreover, conventional image segmentation methods often fall short in achieving high-precision segmentation of the tread area. In this paper, we introduce MAAS-Net, a network employing a U-shaped encoder-decoder architecture. Integrated within are Convolutional Block Attention Modules (CBAM) after each decoding stage to generate multi-resolution attention feature maps. These maps are progressively fused into Multi-scale Aggregated Supervision (MAS) to enhance the model's capacity to discern features across various levels and scales. Additionally, to enhance the model's accuracy near the tread edge area, we propose a post-processing method named ContourFix. Leveraging data augmentation and multi-task learning, ContourFix aims to replace unstable prediction values near the edges with high-confidence prediction values inside the target area. The efficacy of these techniques is evaluated using a dataset of 3D tire tread. Experimental results demonstrate that MAAS-Net significantly outperforms conventional semantic segmentation models in segmenting tire treads, and ContourFix effectively enhances the accuracy of the segmentation model near the regional boundary. © 2024 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Visual SLAM with a Multi-Modal Semantic Framework for the Visually Impaired Navigation-Aided Device 8

Visual SLAM with a Multi-Modal Semantic Framework for the Vi...

引用

8th IEEE international conference on Advanced robotics and Mechatronics, ICARM 2023

作者： Li, Shaohu Gu, Jason Feng, Ying Institute of Advanced Technology University of Science and Technology of China Hefei230031 China Dalhousie University Department of Electrical and Computer Engineering HalifaxNS Canada College of Automation Science and Engineering South China University of Technology Guangzhou510641 China

ISBN: (纸本)9798350300178

Visual Simultaneous Localization and Mapping (VSLAM) based on image feature points often contains feature points on non-stationary objects in dynamic scenes, resulting in poor localization performance. Recent research has improved VSLAM performance by removing dynamic feature points utilizing optical flow, deep learning, or multi-view geometry, however, the volume of data makes real-time operation challenging. In this study, we propose a multimodal framework for semantic VSLAM. To eliminate dynamic feature points, the system effectively blends object detection, instance segmentation, and geometry modules. To ensure high-precision pose estimation and quick back-end optimization, we exclusively use object detection in the front-end of VSLAM to mask dynamic feature points. In the keyframes of the local map, semantic segmentation is utilized to remove dynamic feature points, and an effective geometric module is employed to assess the dynamic consistency of objects that are challenging to categorize. Therefore, more feature points are retained, and the running speed is also ensured. Evaluations of the system on public datasets and in the real world show that it improves the accuracy and stability of VSLAM in dynamic environments. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Utilizing Gradient Boosting Models to Identify Risk Factors for Stroke 2

Utilizing Gradient Boosting Models to Identify Risk Factors ...

引用

2nd IEEE international conference on advances in Information technology, ICAIT 2024

作者： Tamilselvi, P. Harini, C. Rao, Guduri Padma Narasimha Raju, P.V. Subbulakshmi, R. Channabasava, Ugranada Department of Computer Science Vels Institute of Science Technology and Advanced Studies Chennai India Maisammaguda Secunderabad India SRKR Engineering College Andhra Pradesh Bhimavaram India Sagi Rama Krishnam Raju Engineering College Bhimavaram India Department of Computer Science and Engineering Karpagam Institute of Technology Coimbatore India Department of Information Science and Engineering Don Bosco Institute of Technology VTU Karnataka Belagavi India

ISBN: (纸本)9798350383867

This research looks at the usage of the models of gradient boosting to find out the ones that are relevant in the stroke incidence. With the help of a large dataset ranging from demographics to clinical and imaging characteristics, the three most effective gradient boosting algorithms (XGBoost with LightGBM and CatBoost) were evaluated in terms of their ability for stroke risk prediction. Model performance metrics, including accuracy, area under the receiver operating characteristic curve (AUC-ROC), sensitivity, specificity, precision, and F1 score, were estimated through re-scheduling validation proses. Through feature importance analysis, I discovered which of predictors, such as age, hypertension, diabetes and others contribute to the stroke risk prediction and where age and hypertension occupy the highest positions. The result of external validation in separate cohorts was the confirmation of the predictive properties of the data assortment as well as the generalizability of the presented models in variety of populations. Also, the role of these models has been examined from the perspective of their clinical usefulness and ability to inform the implementation of targeted preventive interventions that will result in improved outcomes regarding heart health. We evaluated various lifestyle adjustments, medications and precision monitoring plans as being the most likely to have a positive effect on stroke rates and patient outcomes. Overall the present study proves the problem-solving capability of the gradient boosting model in a tailored risk assessment of stroke and stroke prevention, enabling us to implement the necessary interventions to minimize the impact of the diseases on the healthcare systems and individuals. © 2024 IEEE.

关键词： Risk assessment

来源：评论

学校读者我要写书评

暂无评论

Wearable Sensor-Based Gait Analysis: Advanced Feature Extraction Techniques 2

Wearable Sensor-Based Gait Analysis: Advanced Feature Extrac...

引用

2nd IEEE international conference on advances in Information technology, ICAIT 2024

作者： Karthik Salian, Preethi K. Ranjith, H.D. Salian, Supriya Jayashree Shetty, K. Annapoorneshwari NMAM Institute of Technology Udupi Nitte India NMAM Institute of Technology Udupi Nitte India Dept. of Electronics and Communication Engineering Mangalore Institute of Technology and Engineering Moodabidri India Dept. of Computer Science and Engineering St. Joseph Engineering College Mangaluru India Dept. of Computer Science and Engineering NM Institute of Technology Bangalore India Mangalore India

ISBN: (纸本)9798350383867

Gait irregularities among adults are common in clinical settings and can result in severe consequences such as falls and injuries, leading to increased healthcare costs. Presently, gait evaluation primarily relies on subjective assessments using standardized clinical tools. Although motion capture systems like Qualisys and Vicon offer more objective analysis, they depend on costly, intricate equipment in specialized gait laboratories. Due to limited accessibility, involving factors like equipment scarcity, demand for technical expertise, in-person patient visits, complex procedures, and high costs, these methods remain largely inaccessible. Consequently, there is a pressing need for a more objective and cost-effective gait assessment solution. The proposed work introduces an economical automated feature extraction approach to address this issue. Leveraging Inertial Measurement Unit (IMU) sensors, comprising a three-axis gyroscope and accelerometer system captures precise foot position and orientation data crucial for comprehensive gait analysis. IMU sensors have gained popularity due to their adaptability in clinical environments and non-clinical settings like patient residences or community spaces. With the help of a microcontroller mounted on the barefoot, the IMU sensor collects raw gyroscope and accelerometer data for gait analysis. These data are wirelessly transmitted via Bluetooth to a computer for subsequent in-depth analysis, enabling effective feature extraction for comprehensive gait assessment. © 2024 IEEE.

关键词： Accelerometers

来源：评论

学校读者我要写书评

暂无评论

IoT-Driven Revolution: Transforming Elderly Healthcare Through Dynamic Heart Health Monitoring and Analysis

IoT-Driven Revolution: Transforming Elderly Healthcare Throu...

引用

2024 international conference on advances in Computing Research on science engineering and technology, ACROSET 2024

作者： Mani, Kamlesh Singh, Kamlesh Kumar Litoriya, Ratnesh Amity University Department of Computer Science and Engineering Lucknow India Amity University Department of Electronics and Communication Engineering Lucknow India Medi-Caps University Department of Computer Science and Engineering Indore India

ISBN: (纸本)9798350388800

This research works to analyze the practical implementation of IoT technology in revamping the elderly health care system, with cardio care and heart health monitoring and analysis in mind. The study goes to great lengths not just to depict but also to seek solutions for the increasing problems of an aging population. As a result, new strategies for the provision of healthcare to the elderly are among the priorities. At its core, the research team will exploit Internet of Things (IoT) devices, sensors, and advanced data analytics to come up with a way of dynamic, continuous, and real-time monitoring of heart health. The paper starts by outlining whether changing demographics related to elderly people should be a top priority in healthcare services and, mainly, how much can be crucial in tackling heart health issues. After setting goals, the study will proceed by formulating, testing, and assessing an efficient Internet of Things-based healthcare approach for monitoring the heart health of elderly people. Regarding details of a method that involves picking up IoT gadgets and sensors, data collection procedures and strategies for participant recruitment will be provided. This article is focused on such technologies as architecture, heart disease monitoring, and algorithms for data processing. Findings unveiled some basic facts about the data collected from the elderly, for instance, their cardiac-related research. The implementation of the research findings in practice is mentioned, stressing patient-oriented projects such as personalized care plans and the interventions done at the right time by the Internet of Things-driven healthy lifestyle system. The last paragraph outlines the future directions for the technology-proficient healthcare assistants of tomorrow, including their refinement and mass use, ultimately ending up with the affirmation of the revolutionized elderly care practices of the future brought forth by IoT technologies. Firstly, the study exemplifies

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

An Overview of Methodologies and Prototypes involved in Speech Recognition Systems

An Overview of Methodologies and Prototypes involved in Spee...

引用

2023 international conference on advances in Computation, Communication and Information technology, ICAICCIT 2023

作者： Ojha, Ananta Pal, Ritu Batra, Raman Department of Computer Science and Information Technology Bangalore India Tula's Institute Department of Computer Science and Engineering Dehradun India Noida Institute of Engineering and Technology Department of Mechanical Engineering Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350344387

The discipline of voice recognition is characterised by its multidisciplinary nature, incorporating the domains of linguistics, electrical engineering, and computer science. Its primary focus lies in the analysis and interpretation of spoken language. At present, automated voice recognition systems are employed across several fields such as commerce, government, and education, to effectively process mathematical statements. The present study is centred on the identification of impediments in speech recognition systems for mathematical phrases. This article offers a comprehensive examination of the current status of voice recognition techniques, encompassing a broad scope as well as focusing on the specialised domain of mathematical expressions. In this study, we examine many components including feature extraction approaches, classifiers, datasets, recording tools, and performance assessments. © 2023 IEEE.

关键词： Artificial Intelligence (AI) Classification Feature extraction Pattern Recognition Speech Recognition

来源：评论

学校读者我要写书评

暂无评论

Optimizing Credit Card Fraud Detection: Random Forest and XGBoost Ensemble

Optimizing Credit Card Fraud Detection: Random Forest and XG...

引用

2024 international conference on advances in Computing Research on science engineering and technology, ACROSET 2024

作者： Saw, Ajay Kumar Luthra, Pooja Thakur, Dinesh Chandigarh University Computer Science Department Mohali India

ISBN: (纸本)9798350388800

Ever since the development of the credit card transaction system, the number of credit card frauds has been increasing exponentially and this has been a significant and persistent issue that every other organization is trying to deal with but has not found a long-term solution. So, the aim is to develop a better approach to deal with those kinds of fallacious issues. The purpose of this paper is to come up with a better approach while building a model using different machine- learning algorithms which determine whether a transaction completed using a credit card is genuine or not. With the rapid evolution in technology, it has become very difficult to find out the patterns in criminal transactions manually by a group of humans due to the very big data present and significantly increasing every minute. Artificial Intelligence and machine learning give a new opening to solve the above issues as it automate the detection of fraudulent activities and can improve on its own. In this paper, initially, the dataset available on Kaggle [1] is picked up, which then after pre- processing along with different techniques to get better results like SMOTE[2], feature extraction etc. is applied to different machine-learning algorithms found out that random forest and XGBoost give the best accuracy and improve even the other factors like precision, recall etc. when ensembled using voting classifier which showcases exceptional performance, achieving an accuracy of 99.94 percentage. © 2024 IEEE.

关键词： Random forests

来源：评论

学校读者我要写书评

暂无评论

Body Partition Refinement Dynamic Graph Convolutional Network for Skeleton-based Action Recognition 4

Body Partition Refinement Dynamic Graph Convolutional Networ...

引用

4th international conference on Industrial Automation, robotics and Control engineering, IARCE 2024

作者： Liu, Wenkang Wang, Yifan Zhang, Xiaoheng Li, Yang Beihang University Department of Automation Science and Electrical Engineering Beijing China

ISBN: (纸本)9798350380323

Graph convolutional networks (GCNs) are the most commonly used methods recently and have greatly pro-moted research on skeleton-based action recognition. Aggregating features guided by a topology graph and generating adja-cency matrices with semantic edges in the topology graph are important for the task. However, building a simple and applica-ble graph is a challenging problem. In this work, we construct a novel body partition refinement dynamic graph convolutional network (BPR-DGCN) for skeleton-based action recognition, in which we propose a new body partition refinement dynamic graph convolutional module (BPR-DGCM) to efficiently extract representative features. Furthermore, by combining the traditional physical connection graph with our proposed body partition connection graph, we construct a body partition refinement dynamic graph convolutional unit (BPR-DGCU), which adopts a channel grouping strategy to learn a shared dynamic topology graph as a generic prior for all groups and refine it with chan-nel-specific body partition connection graph for different groups. Our BPR-DGCN outperforms state-of-the-art methods on the NTU RGB+D 60 dataset. © 2024 IEEE.

关键词： Musculoskeletal system

来源：评论

学校读者我要写书评

暂无评论

A Trajectory State Switching Mechanism for Nonholonomic Mobile Robot Trajectory Tracking 6

A Trajectory State Switching Mechanism for Nonholonomic Mobi...

引用

6th international conference on robotics, Control and Automation engineering, RCAE 2023

作者： Jing, Changjiang Wang, Xiaomin Zheng, Zhou Sun, Zhendong Han, Jinshu Xue, Min College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9798350315301

This paper presents a switching controller that effectively exerts the excellencies of Model Predictive Control (MPC) and Linear Quadratic Regulation (LQR) to handle the trajectory-variant tracking problem. The good balance between accuracy and computational cost is achieved by designing a novel trajectory state switching mechanism (TSSM) that considers both trajectory curvature and tracking error. The TSSM assigns computation-unexpensive LQR to address trajectory tracking when the trajectory exhibits smoothness and minimal lateral error. Conversely, LQR seamlessly transits to the performance-focused MPC by TSSM when substantial changes in curvature or pronounced lateral errors occur. The TSSM precludes the Zeno phenomenon, since the curvature and error will not change suddenly result from the continuity of the trajectory state. Furthermore, to mitigate potential oscillations during control algorithm transitions, a continuous control strategy is reported. In addition, the stability of the system is analyzed by constructing a common Rayapunov function. The experimental results demonstrate the performance of the proposed TSSM control in trajectory tracking. © 2023 IEEE.

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

RollBot: An Automatic Curtain Opener Robot 1

RollBot: An Automatic Curtain Opener Robot

引用

1st IEEE international conference on Cognitive robotics and Intelligent Systems, ICC - ROBINS 2024

作者： Llamelo, Ceferino Abana, Ertie Lozada, Bon Andrew Russel Plan, Jivan Balmaceda, Clark Philip Stephen Francisco, Mark Corpuz, Ramzi University of Saint Louis School of Engineering Architecture and Information Technology Education Tuguegarao City Philippines University of Saint Louis Center for Engineering Research and Technology Innovation Tuguegarao City Philippines

ISBN: (纸本)9798350372748

This study presents an automatic curtain opener robot, which can be configured using a smartphone for hotel establishments. Users have the flexibility to open the curtain either at specific points or entirely. Additionally, the device can be programmed to open the curtains automatically based on preset times. A microcontroller controls the overall functionality of the device. Here, a mobile app was created using MIT App Inventor and is essential for operating the various control features. The app requires Bluetooth connectivity with the device for the configuration. Testing involved the connectivity between a smartphone and the device, the response of the device to the specified preset times, and its performance in manually opening and closing the curtain through the application. The results demonstrate a 100% accuracy rate for manual operations. Furthermore, the device successfully connected with all tested Android phones. Evaluation was also conducted to assess the developed robot's accuracy in opening the curtain based on distance, yielding a 99.22% accuracy rate from the tests. © 2024 IEEE.

关键词： Smartphones

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 << < 134 135 136 137 138 139 140 141 142 143 > >>

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：