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

11,056 篇 会议
134 篇 期刊文献
103 册 图书
1 篇 学位论文

馆藏范围

11,294 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

6,627 篇 工学
- 5,309 篇 计算机科学与技术...
- 2,686 篇 控制科学与工程
- 2,493 篇 软件工程
- 1,135 篇 电气工程
- 615 篇 信息与通信工程
- 566 篇 生物工程
- 529 篇 机械工程
- 433 篇 生物医学工程（可授...
- 320 篇 交通运输工程
- 246 篇 仪器科学与技术
- 186 篇 光学工程
- 179 篇 安全科学与工程
- 176 篇 电子科学与技术（可...
- 99 篇 动力工程及工程热...
- 96 篇 建筑学
- 86 篇 化学工程与技术
1,849 篇 理学
- 796 篇 数学
- 597 篇 生物学
- 431 篇 物理学
- 419 篇 系统科学
- 285 篇 统计学（可授理学、...
- 87 篇 化学
1,408 篇 管理学
- 1,157 篇 管理科学与工程(可...
- 463 篇 工商管理
- 353 篇 图书情报与档案管...
371 篇 医学
- 320 篇 临床医学
- 226 篇 基础医学(可授医学...
- 128 篇 药学(可授医学、理...
169 篇 法学
- 161 篇 社会学
120 篇 教育学
- 109 篇 教育学
80 篇 经济学
40 篇 农学
16 篇 军事学
14 篇 文学
5 篇 艺术学

主题

952 篇 humans
634 篇 machine learning
532 篇 intelligent syst...
418 篇 intelligent robo...
408 篇 control systems
386 篇 man machine syst...
365 篇 artificial intel...
344 篇 robot sensing sy...
286 篇 real-time system...
262 篇 learning systems
254 篇 support vector m...
253 篇 human computer i...
224 篇 mobile robots
224 篇 cybernetics
220 篇 neural networks
216 篇 feature extracti...
209 篇 cameras
205 篇 machine vision
187 篇 robots
181 篇 computational mo...

机构

54 篇 university of ch...
27 篇 shenzhen college...
22 篇 chinese acad sci...
22 篇 xi an jiao tong ...
22 篇 guangdong-hong k...
20 篇 guangdong provin...
18 篇 univ chinese aca...
16 篇 guangdong provin...
16 篇 univ chinese aca...
16 篇 deakin univ ctr ...
16 篇 institute for in...
16 篇 cas key laborato...
15 篇 xi an jiao tong ...
15 篇 department of ad...
14 篇 center for human...
13 篇 cas key laborato...
13 篇 school of automa...
13 篇 school of comput...
11 篇 center for intel...
11 篇 southern univers...

作者

73 篇 wu xinyu
39 篇 c.m. mitchell
24 篇 xinyu wu
22 篇 nanning zheng
20 篇 ou yongsheng
19 篇 zheng nanning
18 篇 feng wei
18 篇 nahavandi saeid
17 篇 m. asada
16 篇 sami haddadin
16 篇 haddadin sami
15 篇 li guanglin
13 篇 li li
13 篇 thomas ulrike
12 篇 hong liu
12 篇 shitao chen
12 篇 flemisch frank
11 篇 mitchell christi...
11 篇 kubota naoyuki
11 篇 chen shitao

语言

11,142 篇 英文
115 篇 其他
51 篇 中文
3 篇 法文
1 篇 葡萄牙文

检索条件"任意字段=International Conference on Intelligent Human-Machine Systems and Cybernetics"

共 11294 条记录，以下是31-40 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：

Classifying human Emotions through EEG data with machine Learning 1

Classifying Human Emotions through EEG data with Machine Lea...

引用

1st international conference on intelligent systems and Computational Networks, ICISCN 2025

作者： Kaur, Gaganjot Gupta, Meenu Kumar, Rakesh Chandigarh University Department of Computer Science and Engineering Punjab India

ISBN: (纸本)9798331529246

The Psychological and neurobiological phenomenon is called an emotion. The capability of human beings to present different expressions clashes with the emotional state of mind. Therefore, it is challenging to identify a human's real emotional state by observing physical appearance. Nowadays, using emotional engineering to predict human emotions is one of the major attempts of machine Learning (ML). This study aims to investigate the usage of techniques of machine learning for efficient emotion prediction that relies on electroencephalography (EEG) signals. EEG dataset is complex and sometimes noisy, making it difficult to interpret using traditional methods. So, in this research the Kaggle dataset collected through a Muse headband, five distinct ML methods are applied to classify emotions. Performance metrics such as precision, recall, F1 score, support, and accuracy are employed to differentiate between different classification techniques. Random Forest turned out to be the best method due to its high accuracy 99%. Three emotions are predicted based on the results of performance metrics. This study benefits mental health monitoring, neurofeedback therapy, stress management, human-computer interaction, etc. This study lays the groundwork for exploring this field and helps develop more sophisticated control systems in the future. © 2025 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

human-Centric Smart Manufacturing: A Framework Utilizing Digital Twins and Cyber-Physical Production systems 5th

Human-Centric Smart Manufacturing: A Framework Utilizing Dig...

引用

5th international conference on Innovative intelligent Industrial Production and Logistics

作者： Filho, Marcelo Feliciano Szejka, Anderson Luis Loures, Eduardo Rocha Pontif Catholic Univ Parana PUCPR Ind & Syst Engn Grad Program PPGEPS Curitiba Parana Brazil

ISBN: (纸本)9783031807749;9783031807756

The shift to Industry 5.0 emphasizes human-machine collaboration, personalization, sustainability, and worker support. This paper explores integrating Digital Twins (DT) and Cyber-Physical Production systems (CPPS) within a human-centric Smart Manufacturing framework. Digital Twins offer real-time prediction, simulation, and optimization, enhancing production efficiency and adaptability. CPPS merges computational and physical processes, supporting human-machine collaboration and improved decision-making. The main objective is to enhance sustainability, efficiency, and human-centricity in data-driven manufacturing. This research reviews current technologies, proposes a novel framework integrating DT and CPPS, and assesses implementing a Smart Product (SP) within a Smart Factory (SF) scenario. Key innovations include designing and integrating SPs, developing smart manufacturing processes, and applying DT for enhanced SP functionality. The findings demonstrate improvements in production efficiency, customization, human-machine collaboration, and sustainability, aligning with Industry 5.0 principles. The study concludes with recommendations for future research to integrate ergonomics, cybersecurity, and ethical considerations in smart manufacturing.

关键词： Digital twins Cyber-Physical Production systems (CPPS) Industry 5.0 Smart manufacturing human-Centric manufacturing

来源：评论

学校读者我要写书评

暂无评论

Cognition-Inspired Interactive Frameworks for human-AI Alignment 25

Cognition-Inspired Interactive Frameworks for Human-AI Align...

引用

30th international conference on intelligent User Interfaces Companion, IUI 2025

作者： Gebreegziabher, Simret Araya Department of Computer Science and Engineering University of Notre Dame Notre DameIN United States

ISBN: (纸本)9798400714092

Ensuring human-AI alignment is crucial as AI systems increasingly influence high-stake decision-making. However, existing approaches often rely on static interpretations of user intentions, failing to account for the dynamic and evolving nature of human goals, values, and cognitive biases. In my dissertation, I draw on cognition-inspired interactive frameworks that foster bidirectional and co-adaptive alignment between humans and AI systems. By integrating cognitive theories into the design of both model training and interactive systems, we facilitate co-adaptive learning between humans and AI, empowering users to iteratively define, refine, and adapt alignment criteria. My work thus far highlights novel approaches for balancing model and human learning, enhancing collaboration, and supporting alignment in both individual and multi-stakeholder contexts. © 2025 Copyright held by the owner/author(s).

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Research on new energy grid-connected human-machine cooperative training system applying parallel control and transformer modeling 3

Research on new energy grid-connected human-machine cooperat...

引用

3rd international conference on Algorithms, Network, and Communication Technology, ICANCT 2024

作者： Li, Miao Wang, Jing Zhuang, Yuan Training Center of Jilin Province State Grid Corporation of China Changchun China

ISBN: (数字)9781510688902

ISBN: (纸本)9781510688896

The purpose of this paper is to propose a panoramic human-machine collaborative training system that can adapt to new energy grid-connected operation conditions, simulate various complex situations, and provide regulators with simulation exercises, intelligent deductions, decision-making references, Q&A services, which provide intelligent reference solutions for precise regulation under new energy access scenarios with high percentage of new energy under a new type of power system. In order to enhance training effectiveness and operational efficiency, it is need to apply intelligent technology and data-driven models instead of experience and human labor. Interactive Q&A application such as Chat GPT has subversively changed the implementation mode of the training process, making the traditional teaching of theory and basic knowledge easier and faster. However, these commercial Q&A systems still have limitations in terms of accuracy, security, as well as professionalism, which makes them inefficient in professional learning area. In this paper, we use the idea of parallel control and the transformer model to construct a human-computer cooperative training system adapted to new energy grid-connected electric power systems, which realize a human-computer cooperative training model that highly integrates the Q&A services with the real trainer, the real trainees, the computer simulation system. By constructing a large model of human-computer system, a training computing experiment platform, as well as a system with a closed loop of training reality, the parallel training will help training program planning, training teaching design, training arrangements, teaching interaction and other key training links, and realize automated and intelligent training design and execution. As a training and management model adapted to the situation of artificial intelligence, parallel training will bring brand new possibilities for the development of the training industry in the intellige

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Enhancing Emoji Identification in Real-World Emotion Recognition systems using Facial Masking Techniques 1

Enhancing Emoji Identification in Real-World Emotion Recogni...

引用

1st international conference on intelligent systems and Computational Networks, ICISCN 2025

作者： Puthran, Raksha Mugeraya, Supriya Shetty, Anusha Prashanth Department of Master of Computer Applications Bangalore India

ISBN: (纸本)9798331529246

Emojiify is a cutting-edge real-time image processing system powered by Convolutional Neural Networks (CNNs) for face emotion recognition. This unique technology fosters human-computer interaction by appropriately recognizing emotions in live facial images and instantly overlaying corresponding emojis, satisfying the rising need for engaging and intuitive emoji-based digital communication. The system classifies seven emotions - happiness, winking, pouting, sad, angry, shock, and neutrality - ensuring a smooth and interactive user experience. Trained on a selected dataset of 2,100 photographs, emojiify achieves an incredible 97% accuracy, exhibiting its capacity to capture nuanced emotional expressions. Its good performance across many demographic categories makes it vital for applications in interactive media, targeted content delivery, and user engagement. By integrating state-of-the-art machine learning with real-time picture processing, this research increases digital emotion expression, unlocking potential applications in entertainment, security, and smart systems. This work redefines how technology bridges human emotions and digital interactions. © 2025 IEEE.

关键词： human computer interaction

来源：评论

学校读者我要写书评

暂无评论

Towards a human-Centric Industry 5.0: Exploring Team Roles to Improve human-machine Collaboration 5th

Towards a Human-Centric Industry 5.0: Exploring Team Roles t...

引用

5th international conference on Innovative intelligent Industrial Production and Logistics

作者： Monopoli, Domenico Caggiano, Mariateresa Semeraro, Concetta Dassisti, Michele Polytech Univ Bari Dept Mech Math & Management DMMM Bari Italy Univ Sharjah Dept Ind & Management Engn Sharjah 27272 U Arab Emirates

ISBN: (纸本)9783031807749;9783031807756

Industry 5.0 aims to enhance the strengths of the current Industry 4.0 paradigm and broaden its scope by emphasizing the human operators within the working environment through harmonious interactions with machines and other human collaborators. One of the three pillars of Industry 5.0 is the redefined role that human operators would assume within rapidly evolving production systems due to significant technological improvements descending from the I4.0 paradigm. This new role is becoming a major organizational and technological challenge to ensure maximum productivity while preserving the health and well-being of the operator. In this context, the primary objective of this study was to investigate the impact of various human-machine team configurations on process performance and worker well-being. To achieve this, a collaborative workstation was designed and implemented to simulate different configurations of collaborative scenarios, each involving distinct roles for humans and machines. Preliminary findings indicate that key factors such as experience and attitude toward technology necessitate different collaborative setups. Specifically, experienced operators prefer supervisory roles within the team, with the machine primarily used for final inspections. In contrast, less experienced operators tend to rely more on the machine's decisions, adopting a more apprentice-like role.

关键词： Industry 5.0 human-Centricity human-machine interaction

来源：评论

学校读者我要写书评

暂无评论

Usability of intelligent System in Implementing Tutoring Lesson in Education: A Literature Review 12th

Usability of Intelligent System in Implementing Tutoring Les...

引用

12th international conference on Frontiers of intelligent Computing: Theory and Applications, FICTA 2024

作者： Septo, Jerome S. Dinopol, Johnrey Reyes, Timothy John M. Delos Santiago, Cereneo S. Cahapin, Erwin L. Cavite State University—Silang Campus Cavite Philippines

ISBN: (纸本)9789819601462

This review explored how intelligent systems are when used in educational settings to assist in tutoring. Their effectiveness, the different methods used, and their limitations were analyzed. A screening of 30 articles was carried out by the researchers, identifying 16 of them between 2018 and 2024. The results show that various technologies, including intelligent tutoring systems (ITSs), Smart MOOC integrated into intelligent Tutoring (SMIT), fuzzy Bayesian intelligent tutoring systems (FB-ITSs), as well as AI tools like ChatGPT and Meta-Tutor, are being utilized. These systems improved personalized learning by providing adaptive and interactive educational environments that can change traditional teaching methods. It was also found that they have significantly improved how engaged students are, how well they do in their studies, and how customized their learning experiences are. However, some crucial drawbacks were identified, such as how AI can’t quite match the subtle, human parts of teaching, like providing emotional support and helping students grow. To address these challenges, it is suggested that future advancements in education. Artificial Intelligence systems should be developed to improve or support human abilities, not necessarily replace them. Considering such matters as confidentiality, fairness, or discrimination in machine learning models is equally significant and fundamental. These systems require an infrastructure that precedes issues related to technology development and values while ensuring equitable participation at different stages of learning. © 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

Comparison Between the Performance of human Translators and AI-Supported Applications 1st

Comparison Between the Performance of Human Translators and ...

引用

1st international conference on intelligent systems, Blockchain, and Communication Technologies, ISBCom 2024

作者： Hamood, Anfal Sabeeh Al Ghareeb, Sanaa Lazim Hassan Zaid, Bilal Hameed Department of Journalism College of Mass Communication University of Baghdad Baghdad Iraq Department of English Language College of Education for Women University of Baghdad Baghdad Iraq Continuing Education Center University of Baghdad Baghdad Iraq

ISBN: (纸本)9783031823763

This study aims to conduct an exhaustive comparison between the performance of human translators and artificial intelligence-powered machine translation systems, specifically examining the top three systems: Spider-AI, Metacate, and DeepL. A variety of texts from distinct categories were evaluated to gain a profound understanding of the qualitative differences, as well as the strengths and weaknesses, between human and machine translations. The results demonstrated that human translation significantly outperforms machine translation, with larger gaps in literary texts and texts characterized by high linguistic complexity. However, the performance of machine translation systems, particularly DeepL, has improved and in some contexts approached that of human performance. The distinct performance differences across various text categories suggest the potential for developing systems tailored to specific fields. These findings indicate that machine translation has the capacity to bridge the gap in translation productivity inefficiencies inherent in human translation, yet it still falls short of fully replicating human capabilities. In the future, a combination of human translation and machine translation systems is likely to be the most effective approach for leveraging the strengths of each and ensuring optimal performance. This study contributes empirical support and findings that can aid in the development and future research in the field of machine translation and translation studies. Despite some limitations associated with the corpus used and the systems analysed, where the focus was on English and texts within the field of machine translation, future studies could explore more extensive linguistic sampling and evaluation of human effort. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Computer aided language translation

来源：评论

学校读者我要写书评

暂无评论

cybernetics and Informatics of Generative AI for Transdisciplinary Communication in Education

Cybernetics and Informatics of Generative AI for Transdiscip...

引用

16th international Multi-conference on Complexity, Informatics and cybernetics, IMCIC 2025

作者： Makhachashvili, Rusudan Semenist, Ivan Germanic Philology Department Borys Grinchenko Kyiv Metropolitan University Bulvarno-Kudryavska-st. 18/2 Kyiv Ukraine Oriental Studies and Culture Department Borys Grinchenko Kyiv Metropolitan University Bulvarno-Kudryavska-st. 18/2 Kyiv Ukraine

ISBN: (纸本)9781950492848

As a product of modern civilization, the digital reality has become an independent format of being. Accordingly, electronic media act not only as a means of transmitting information, but also reveal their own world-creating, meaning-making and, as a consequence, communicative potential. The global digital realm stands as an integral environment, demanding new cognition and perception ways via complex philosophic, cultural, social, linguistic approaches, providing unlimited opportunities for human intellect, communicative development and research. Transformative shifts in the knowledge economy of the XXI century, Industry 4.0 and Web 4.0 development and elaboration of networked society, emergency digitization of all social communicative spheres due to pandemic measures have imposed pressing revisions onto interdisciplinary and cross-sectorial job market demands of university level education, curriculum design and learning outcomes. As a product of modern civilization, digital reality has become an independent format of being. Accordingly, electronic media act not only as a means of transmitting information but also reveal their own world-creating, meaning-making, and, as a consequence, communicative potential. The global digital realm stands as an integral environment, demanding new cognition and perception ways via complex philosophic, cultural, social, and linguistic approaches, providing unlimited opportunities for human intellect, communicative development, and research. Transformative shifts in the knowledge economy of the XXI century, Industry 4.0 (AI-powered technologies and production) and corresponding stages of Web technology development (from Web 2.0 - social media interaction, to Web 3.0 - Internet of things, to Web 4.0 - machine learning powered interaction, LLMs, to Web 5.0 - intelligent personal agents, Web 6.0 - cognitive AI), development and elaboration of networked society and new media ecology, emergency digitization due to quarantine measures and

关键词： machine learning

来源：评论

学校读者我要写书评

暂无评论

fNIRS Foundation Model for Few-Shot based fNIRS Classification 13

fNIRS Foundation Model for Few-Shot based fNIRS Classificati...

引用

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

作者： Jung, Euijin Lee, Hyunmin An, Jinung Division of Intelligent Robot DGIST Daegu Korea Republic of School of Interdisciplinary Studies DGIST Daegu Korea Republic of Division of Intelligent Robot School of Interdisciplinary Studies DGIST Daegu Korea Republic of

ISBN: (纸本)9798331521929

Functional near-infrared spectroscopy (fNIRS) is a non-invasive technique with significant potential for applications in brain-computer interfaces (BCIs) including mental health diagnostics and cognitive state monitoring. However, the reliance on large labeled datasets for high-performing classification methods poses a critical challenge, given the time-consuming and resource-intensive nature of fNIRS data collection. To address this, we propose a novel foundation model for fNIRS data based on a self-supervised masked autoencoder framework. The proposed method enables efficient pre-training on unlabeled data, reducing the dependence on labeled datasets while maintaining robust performance for downstream tasks. Experimental results demonstrate that the proposed model achieves performance comparable to supervised learning approaches while requiring only one-third of the labeled training data. It consistently outperforms state-of-the-art self-supervised models in both linear probing and fine-tuning settings. Moreover, ablation studies show that a larger masking size aligns with the low-frequency nature of fNIRS signals, enabling the model to capture broader patterns and further enhance classification accuracy. These findings validate the proposed method as an effective and scalable solution for fNIRS-based classification tasks. © 2025 IEEE.

关键词： Near infrared spectroscopy

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 << < 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：