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

1,500 篇 会议
12 篇 期刊文献
11 册 图书

馆藏范围

1,523 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,060 篇 工学
- 831 篇 计算机科学与技术...
- 615 篇 软件工程
- 179 篇 信息与通信工程
- 139 篇 电气工程
- 115 篇 控制科学与工程
- 102 篇 生物工程
- 74 篇 生物医学工程（可授...
- 67 篇 机械工程
- 59 篇 化学工程与技术
- 55 篇 石油与天然气工程
- 52 篇 光学工程
- 52 篇 动力工程及工程热...
- 52 篇 电子科学与技术（可...
- 52 篇 安全科学与工程
- 41 篇 建筑学
383 篇 理学
- 151 篇 数学
- 111 篇 物理学
- 110 篇 生物学
- 60 篇 统计学（可授理学、...
- 53 篇 化学
- 40 篇 系统科学
304 篇 管理学
- 205 篇 管理科学与工程(可...
- 134 篇 工商管理
- 131 篇 图书情报与档案管...
97 篇 教育学
- 96 篇 教育学
70 篇 医学
- 64 篇 临床医学
- 61 篇 基础医学(可授医学...
- 43 篇 药学(可授医学、理...
58 篇 法学
- 48 篇 社会学
41 篇 经济学
- 41 篇 应用经济学
18 篇 农学
6 篇 军事学
5 篇 艺术学
1 篇 文学

主题

46 篇 deep learning
36 篇 computer archite...
36 篇 training
32 篇 students
31 篇 real-time system...
31 篇 machine learning
28 篇 internet of thin...
25 篇 accuracy
23 篇 computational mo...
22 篇 decision making
22 篇 computer vision
21 篇 artificial intel...
20 篇 education
20 篇 market research
20 篇 communication sy...
20 篇 convolutional ne...
18 篇 sustainable deve...
18 篇 cloud computing
18 篇 technological in...
17 篇 human computer i...

机构

27 篇 lovely professio...
24 篇 institute of aer...
18 篇 the islamic univ...
15 篇 department of ug...
15 篇 school of comput...
15 篇 atlas skilltech ...
12 篇 department of co...
12 篇 department of co...
10 篇 lloyd institute ...
10 篇 lloyd institute ...
8 篇 research institu...
6 篇 department of el...
6 篇 chitkara univers...
5 篇 department of co...
5 篇 department of co...
5 篇 computer science...
5 篇 new horizon coll...
5 篇 eledia@auth scho...
4 篇 vivekananda glob...
4 篇 institute of aer...

作者

8 篇 panagiotis sarig...
7 篇 meng fanqi
7 篇 shashikant patil
7 篇 patil shashikant
7 篇 wang jingdong
6 篇 jingdong wang
6 篇 fanqi meng
6 篇 sotirios k. goud...
5 篇 teslyuk vasyl
5 篇 rajalakshmi b.
5 篇 refaat shady s.
5 篇 wang ling
5 篇 b rajalakshmi
5 篇 zhou tie hua
4 篇 muntather almusa...
4 篇 achilles d. bour...
4 篇 li jianpo
4 篇 praveen
4 篇 guangqiang qu
4 篇 vasyl teslyuk

语言

1,450 篇 英文
65 篇 其他
18 篇 中文

检索条件"任意字段=13th International Conference on Computer Technologies and Development, TechDev 2024"

共 1523 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：

Proceedings - 2024 13th international conference on computer technologies and development, techdev 2024

Proceedings - 2024 13th International Conference on Computer...

引用

13th international conference on computer technologies and development, techdev 2024

ISBN: (纸本)9798331539771

the proceedings contain 17 papers. the topics discussed include: leveraging artificial intelligence and large language models for enhanced teaching and learning: a systematic literature review;code re-use recommendation based on software requirements using natural language processing in python;e-government in Oman: trends and future perspectives;disruptive technology research pathway: term and keyword view;a taxonomy of factors that influence the multiple-cloud computing utilization;enhancing object detection for autonomous machines in private construction sites through federated learning;refining interaction design: a study on usability and user experience in X-Mech;and the application of machine learning in student performance prediction in higher education institutions: a systematic literature review.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 2022 11th international conference on computer technologies and development, techdev 2022

Proceedings - 2022 11th International Conference on Computer...

引用

11th international conference on computer technologies and development, techdev 2022

ISBN: (纸本)9798350398878

the proceedings contain 13 papers. the topics discussed include: apply distributed CNN on genomics to accelerate transcription-factor TAL1 motif prediction;prediction of coke oven gas production with multivariable input based on LSTM neural network;identification of glass artifacts based on decision tree and k-means method;a systematic review of the promotion of accessible software development;development of photovoltaic building integrated auxiliary design platform based on BIM system;design of student employment guidance system based on decision classification algorithm;a design of a therapy session management system for children with special needs;research on electrified wire netting equipment quality evaluation system of power supply bureau based on big data analysis;practical application of computer technology in mechanical design manufacture and automation;and tabu hybrid genetic algorithm for glass deep processing production scheduling.

关键词：

来源：评论

学校读者我要写书评

暂无评论

development of a Dynamic Event Hand Tracking System in Mobile Augmented Reality Viewers 24

Development of a Dynamic Event Hand Tracking System in Mobil...

引用

13th international conference on Networks, Communication and Computing, ICNCC 2024

作者： Espejon, Kent Tugade Jayoma, Jaymer M. College of Computing and Information Sciences Caraga State University Agusan Del Norte Butuan City Philippines

ISBN: (纸本)9798400717352

this study introduces a dynamic event-handling system designed for hand gesture recognition in mobile augmented reality (AR) viewers. By repurposing low-cost virtual reality (VR) boxes in conjunction with mobile phones, the researchers aimed to facilitate hands-free interaction in AR environments. the system was developed using the Unity 3D game engine and integrated with ManoMotion for real-time gesture recognition, enabling the detection of ten distinct gestures, including Click, Drop, Pick, Grab, Swipe, and Release. Each gesture was mapped to dynamic events that allowed users to engage with virtual objects through natural hand movements, significantly enhancing the AR experience without reliance on physical controllers. the research confirms the viability of an affordable AR system that leverages intuitive hand-based controls while identifying limitations such as reduced gesture accuracy in low-light conditions and ergonomic challenges. the system achieved an impressive hand recognition accuracy of 95.13%. this study contributes to the accessibility of AR technology and lays the groundwork for future enhancements in gesture recognition and user interaction within mobile AR systems. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

100 years of EEG: unleashing the brain’s secrets and motor of brain-computer interface (BCI) research 13

100 years of EEG: unleashing the brain’s secrets and motor ...

引用

13th international Winter conference on Brain-computer Interface, BCI 2025

作者： Kübler, Andrea Institute of Psychology Department of Psychology I Section Intervention Psychology University of Würzburg Würzburg Germany

ISBN: (纸本)9798331521929

Electroencephalography (EEG) has come a long way since its discovery, marking over a hundred years of groundbreaking progress. Hans Berger, the scientist behind this invention, revolutionized the study of brain activity by developing a non-invasive way to measure the brain’s electrical currents. His work laid the foundation for modern neuroscience, enabling advancements in both clinical applications and cutting-edge technologies like brain-computer interfaces (BCIs). In this small flashlight on its history, I will delve into the history of EEG, its development from a tool of clinical diagnosis to an established and highly sophisticated research tool, culminating in its integration into brain-computer interface (BCI) technology and its relation to consciousness. © 2025 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

MRFNet:Muscle Motion and Facial Region Relationships Fusion for Enhanced Micro-expression Recognition 24

MRFNet:Muscle Motion and Facial Region Relationships Fusion ...

引用

13th international conference on Computing and Pattern Recognition, ICCPR 2024

作者： Wang, Aina Zhang, Zili Yang, Zhentian Feng, Jining College of Computer and Cyber Security Hebei Normal University Shijiazhuang China

ISBN: (纸本)9798400717482

Facial micro-expressions (MEs) are a kind of facial expression that can reveal people's true feelings, arising naturally from involuntary movements of facial muscles. Hence, it plays an important role in criminal interrogation, human-computer interaction, and clinical diagnosis. Given that micro-expressions often lasts only for a short duration and only involves partial muscle motions, it is difficult to detect subtle muscle motion to recognize the micro-expression. To address these problem, the paper proposed a robust micro-expression recognition(MER)model, namely muscle motion and facial region relationships fusion network (MRFNet). Specifically, we proposed a spatial attention unit to focus on specific areas of subtle muscle movements. Additionally, we designed a facial perception module to capture the region relationships between various motion muscles. To integrate location information with salient motion features, a fusion strategy was developed to enhance the overall micro-expression recognition capabilities. Experiments on three public datasets demonstrated that the recognition accuracy of the method outperformed state-of-the-art approaches. © 2024 Copyright held by the owner/author(s).

关键词： Human computer interaction

来源：评论

学校读者我要写书评

暂无评论

Enhancing Pretrained Multilingual Machine Translation Model with Code-Switching: A Study on Chinese, English and Malay Language 24

Enhancing Pretrained Multilingual Machine Translation Model ...

引用

13th international conference on Computing and Pattern Recognition, ICCPR 2024

作者： Liu, Haijing Seman, Noraini Department of Computer Engineering Taiyuan Institute of Technology Shanxi Taiyuan China College of Computing Informatics and Mathematics University Technology MARA Shah Alam Selangor Malaysia

ISBN: (纸本)9798400717482

In the field of multilingual machine translation, many pretrained language models have achieved the inspiring results. However, the results based on pretrained models are not yet very satisfactory for low-resource languages. this paper investigates how to leverage code-switching data to fine-tune pretrained multilingual machine translation model, in order to boost the performance of few-shot low resource machine translation. By utilizing a multilingual mixed corpus, the code-switching method can enhance the cross-linguistic generalization ability of the model and improve its overall understanding of the language. In this paper, on the smaller size model of FLORES-101 benchmark, we use the code-switching data augmentation method to achieve the results of benchmark's larger model on six direction pairs of three languages, Chinese, English and Malay. this paper studied various corpus mixture mechanisms to construct the data in code-switching, and the experimental findings show that the results using the code-switching fine-tuning model improve the spBLEU score by an average of 2 to 3 points over the results without code-switching. © 2024 Copyright held by the owner/author(s).

关键词： Machine translation

来源：评论

学校读者我要写书评

暂无评论

T-CacheNet: Transformer-based Deep Reinforcement Learning for Next-Generation Internet Content Caching 24

T-CacheNet: Transformer-based Deep Reinforcement Learning fo...

引用

13th international conference on Networks, Communication and Computing, ICNCC 2024

作者： Kim, Hakho Sun, Teh-Jen Huh, Eui-Nam Department of Artificial Intelligence Kyung Hee University Yongin Korea Republic of Department of Computer Science and Engineering Kyung Hee University Yongin Korea Republic of

ISBN: (纸本)9798400717352

the rapid growth of internet users and mobile data traffic has led to increasing demand for efficient content caching strategies. Traditional caching algorithms such as Least Recently Used (LRU) and Least Frequently Used (LFU) struggle to adapt to dynamic environments, resulting in frequent cache misses, inefficient content retrieval, and degraded user experience. A key challenge in content caching is deciding both whether to cache newly requested content and which cached content to replace when capacity is limited. Reinforcement learning (RL)-based approaches offer a dynamic solution by continuously optimizing these decisions based on real-time content demand. In this paper, we propose T-CacheNet, a Transformer-based RL model for content caching, leveraging the self-attention mechanism to effectively manage long-term dependencies in content requests. We introduce two techniques - Miss-based delayed hit reward learning and partial information learning - to address the computational challenges of Transformer models while maintaining high efficiency in making caching and replacement decisions. T-CacheNet significantly improves adaptability in dynamic content delivery networks by increasing cache hit rates and preventing inefficient resource utilization. © 2024 Copyright held by the owner/author(s).

关键词： Deep reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Leveraging Large Language and Vision Assistant Model for Multi Camera Appearance Features 24

Leveraging Large Language and Vision Assistant Model for Mul...

引用

13th international conference on Computing and Pattern Recognition, ICCPR 2024

作者： Zeilerbauer, Oliver Mohebbi, Mohammad Reza Doeller, Mario Christian-Doppler-Gesellschaft Tyrol Kufstein Austria Fachhochschule Kufstein Tirol Bildungs GmbH University of applied sciences Tyrol Kufstein Austria Department of Computer Science University of Passau Passau Bavaria Germany

ISBN: (纸本)9798400717482

the existing vision-based tracking solutions, such as DeepSORT and SMILEtrack, base their feature sets on visual features extracted from a single camera using Convolutional Neural Networks (CNNs) or through similarity learning modules. Even if it works well in a general practical setting under normal environmental configurations, it poses serious challenges when it comes to a multi-camera setting, where illumination, angle of view, and occlusions may vary significantly. To address these limitations, we present a novel framework that uses the Large Language and Vision Assistant (LLaVA), a multimodal model that processes visual and textual inputs. this is because Large Language and Vision Assistant (LLaVA) can better undertake uniform feature extraction across heterogeneous camera views, considering language context during the perception of visual data. the proposed framework utilises consistent visual feature descriptions generated from image snippets and incorporates mechanisms to handle hallucinations;hence, object re-identification across cameras is more reliable. When such visual descriptions are layered with spatial location data, tracking and identification of multiple objects in crowded and complex situations become more accurate. For that, the system allows much better flexibility and robustness of the tracking systems, resulting in better performance over traditional methods in real multi-camera applications. © 2024 Copyright held by the owner/author(s).

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Integrated Word2Vec-based Speech Annotations for Enhanced EEG Decoding of Speech Intentions 13

Integrated Word2Vec-based Speech Annotations for Enhanced EE...

引用

13th international Winter conference on Brain-computer Interface, BCI 2025

作者： Jang, Se-Na Park, Hyeong-Yeong Kim, Seong-Wook Yu, Seong-Hyun Lee, Minji Jeong, Ji-Hoon Dept. Computer Science Chungbuk National University Cheongju Korea Republic of Dept. Biomedical Software Engineering The Catholic University of Korea Bucheon Korea Republic of

ISBN: (纸本)9798331521929

Brain-computer interface (BCI) technology has promising applications as an intuitive communication tool and in fields such as language rehabilitation. this study aims to decode human speech intentions by analyzing EEG signals recorded during actual and imagined speech. EEG data were collected using a 64 channels system, with preprocessing to remove artifacts. Automatic speech recognition (ASR) was used to extract precise speech onset times, generating time-specific speech annotations corresponding with EEG data. Pretrained Word2Vec embeddings were integrated to provide semantic context, combining neural signals with high-level linguistic features. Support vector machine (SVM), linear discriminant analysis (LDA) were employed for decoding. the results demonstrate that integrating speech annotations improves decoding accuracy, even for imagined speech, highlighting the potential of BCI technology for advanced applications in communication and rehabilitation. © 2025 IEEE.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

FlyWheel: A Robotic Platform for Modeling Fly Visual Behavior 13th

FlyWheel: A Robotic Platform for Modeling Fly Visual Behavi...

引用

13th international conference on Biomimetic and Biohybrid Systems, Living Machines 2024

作者： Nourse, William R. P. Quinn, Roger D. Department of Electrical Computer and Systems Engineering Case Western Reserve University ClevelandOH44106 United States Department of Mechanical and Aerospace Engineering Case Western Reserve University ClevelandOH44106 United States

ISBN: (纸本)9783031725968

An ongoing problem in robotics is the calculation of body motion given motion in the visual field, also known as ego-motion estimation. this is a problem which has been solved in the visual system of most animals, including the fruit fly Drosophila melanogaster. Here we present FlyWheel, an open-source robotic platform for studying models of the visual motion-processing system in insects. We showcase a dataset of rotational motion data in real-world conditions using the robot, and use a simplified model of the motion pathway in Drosophila as a baseline for further comparison and development. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Flywheels

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153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：