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

705 篇 会议
8 篇 期刊文献
4 册 图书

馆藏范围

718 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

340 篇 工学
- 282 篇 计算机科学与技术...
- 200 篇 软件工程
- 114 篇 信息与通信工程
- 57 篇 控制科学与工程
- 52 篇 生物医学工程（可授...
- 46 篇 生物工程
- 40 篇 电气工程
- 31 篇 电子科学与技术（可...
- 24 篇 光学工程
- 24 篇 安全科学与工程
- 23 篇 动力工程及工程热...
- 21 篇 机械工程
- 20 篇 交通运输工程
- 19 篇 网络空间安全
- 15 篇 仪器科学与技术
- 13 篇 建筑学
163 篇 理学
- 101 篇 数学
- 54 篇 生物学
- 41 篇 统计学（可授理学、...
- 34 篇 物理学
- 20 篇 化学
- 18 篇 系统科学
110 篇 管理学
- 70 篇 管理科学与工程(可...
- 55 篇 图书情报与档案管...
- 44 篇 工商管理
58 篇 医学
- 43 篇 基础医学(可授医学...
- 42 篇 临床医学
- 35 篇 药学(可授医学、理...
26 篇 法学
- 23 篇 社会学
17 篇 教育学
- 14 篇 教育学
11 篇 经济学
6 篇 农学
4 篇 文学

主题

35 篇 cognitive radio
22 篇 cognitive system...
15 篇 machine learning
13 篇 computational mo...
12 篇 deep learning
11 篇 feature extracti...
9 篇 big data
9 篇 accuracy
8 篇 internet of thin...
8 篇 decision making
7 篇 electroencephalo...
7 篇 neural networks
7 篇 semantics
7 篇 fuzzy cognitive ...
7 篇 data models
6 篇 object detection
6 篇 edge computing
5 篇 covid-19
5 篇 cognitive comput...
5 篇 data mining

机构

8 篇 college of intel...
6 篇 fraunhofer insti...
6 篇 tianjin key labo...
6 篇 uttaranchal inst...
5 篇 institute of art...
5 篇 anhui provincial...
5 篇 lovely professio...
5 篇 tianjin key labo...
5 篇 college of compu...
4 篇 school of comput...
4 篇 school of comput...
4 篇 centre for inter...
4 篇 college of mecha...
4 篇 collage of engin...
3 篇 symbiosis instit...
3 篇 anhui university...
3 篇 copelabs - cogni...
3 篇 school of comput...
3 篇 university of ch...
3 篇 univ connecticut...

作者

4 篇 zhao haifeng
4 篇 gayathri n.
4 篇 dutt varun
4 篇 haifeng zhao
3 篇 kanna r. kishore
3 篇 lorenz jeanette ...
3 篇 wang tao
3 篇 wenbin zhang
3 篇 jeanette miriam ...
3 篇 godinho antónio
3 篇 mankun zhao
3 篇 wang li
3 篇 yang jinzhu
3 篇 chao dong
3 篇 zhang kai
3 篇 qu yuben
3 篇 anandakumar h.
3 篇 r. kishore kanna
3 篇 anita gehlot
3 篇 bhasin harsh

语言

682 篇 英文
33 篇 其他
10 篇 中文

检索条件"任意字段=2023 International Conference on Cognitive Computing and Complex Data, ICCD 2023"

共 718 条记录，以下是321-330 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：

A data-driven Causality Modeling Framework: An Empirical Study of Modeling the Effect of Indoor Air Quality Perception on Students' cognitive Performance 10

A Data-driven Causality Modeling Framework: An Empirical Stu...

引用

10th international conference on Information Technology and Quantitative Management, ITQM 2023

作者： Yang, Guangfei Yan, Bing Institute of Systems Engineering Dalian University of Technology Dalian116024 China

In the information age, a paradigm revolution in applied data mining methods has emerged in response to the data explosion in management science research, but this artificial intelligence-based automated data-driven modeling process creates a new "big relationship" problem, where a large number of correlations obfuscate the identification of true causal relationships. In this paper, we use a causality modeling framework that combines correlation modeling and causality pruning processes. First, symbolic regression is used to model white-box correlations of human intelligence, and then spurious correlations that do not conform to causal graph theory are pruned so that ultimately causal relationships and explicit candidate models describing these relationships can be found automatically. In an empirical research problem, the framework is compared with a traditional hypothesis construction-validation process, and the results are consistent between the two. The proposed framework implements a data-driven "correlation + causation" automatic modeling capability, which will greatly improve modeling efficiency and reliability. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Tenth international conference on Information Technology and Quantitative Management.

关键词： Genetic programming

来源：评论

学校读者我要写书评

暂无评论

cognitive Digital Twin in Manufacturing: A Heuristic Optimization Approach 19th

Cognitive Digital Twin in Manufacturing: A Heuristic Optimiz...

引用

19th international conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Rehman, Atiq Ur Ahmed, Mobyen Uddin Begum, Shahina Malardalen Univ Sch Innovat Design & Engn Artificial Intelligence & Intelligent Syst Res Gr Vasteras Sweden

ISBN: (纸本)9783031341090;9783031341076;9783031341069

complex systems that link virtualization and simulation platforms with actual data from industrial processes are vital for the next generation of production. Digital twins are such systems that have several advantages, notably in manufacturing where they can boost productivity throughout the whole manufacturing life-cycle. Enterprises will be able to creatively, efficiently, and effectively leverage implicit information derived from the experience of current production processes, thanks to cognitive digital twins. The development of numerous technologies has made the digital twin notion more competent and sophisticated throughout time. This article proposes a heuristic approach for cognitive digital twin technology as the next development in a digital twin that will aid in the realization of the goal of Industry 4.0. In creating cognitive digital twins, this article suggests the use of a heuristic approach as a possible route to allowing cognitive functionalities. Here, heuristic optimization is proposed as a feature selection tool to enhance the cognitive capabilities of a digital twin throughout the product design phase of production. The proposed approach is validated using the use-case of Power Transfer Unit (PTU) production, which resulted in an improvement of 8.83% in classification accuracy to predict the faulty PTU in the assembly line. This leads to an improved throughput of the PTU assembly line and also saves the resources utilized by faulty PTUs.

关键词： Cyber-Physical Systems cognitive Digital Twins Heuristic Optimization Industrial Manufacturing

来源：评论

学校读者我要写书评

暂无评论

18th international conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2023

18th International Conference on Bio-Inspired Computing: The...

引用

18th international conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2023

ISBN: (纸本)9789819722716

The proceedings contain 64 papers. The special focus in this conference is on Bio-Inspired computing: Theories and Applications. The topics include: A Two-Level Game-Theoretic Approach for Joint Pricing and Resource Allocation in Multi-user Mobile Edge computing;expert-Guided Deep Reinforcement Learning for Flexible Job Shop Scheduling Problem;eating Behavior Analysis of Cruise Ship Passengers Based on K-means Clustering Algorithm;The Bilinear-MAC Network for Visual Reasoning;artificial Intelligence Analysis of State of Charge Distribution in Lithium-Ion Battery Based on Ultrasonic Scanning data;sequence-Based Deep Reinforcement Learning for Task Offloading in Mobile Edge computing: A Comparison Study;a Sample Reuse Strategy for Dynamic Influence Maximization Problem;Prediction of Rice Processing Loss Rate Based on GA-BP Neural Network;research on Target Value Assessment Method Based on Attention Mechanism;an Improved Trajectory Planning Method for Unmanned Aerial Vehicles in complex Environments;UUV Dynamic Path Planning Algorithm Based on A-Star and Dynamic Window;cuckoo Search Algorithm with Balanced Learning to Solve Logistics Distribution Problem;badminton Detection Using Lightweight Neural Networks for Service Fault Judgement;controllability of Windmill Networks;incremental Learning with Maximum Dissimilarity Sampling Based Fault Diagnosis for Rolling Bearings;application and Prospect of Knowledge Graph in Unmanned Vehicle Field;historical Location Information Based Improved Sparrow Search Algorithm for Microgrid Optimal Dispatching;optimization of Large-Scale Distribution Center Location Selection in Fresh Produce Transportation;research on the Influence of Twin-Bow Appendage with Drum on Ship Speed and Resistance;application of Multi-fidelity Surrogate Models to the Noisy Optimization Problems of Carbon Fiber Polymerization Process Parameters;multi-strategy Improved Kepler Optimization Algorithm;a Method of Pathing for Underwater Glider Cluster Based on Opti

关键词：

来源：评论

学校读者我要写书评

暂无评论

complex-Valued Neural Networks with Application to Wireless Communication: A Review 4th

Complex-Valued Neural Networks with Application to Wireless ...

引用

4th international conference on Artificial Intelligence in China, AIC 2022

作者： Iverson, Steven Liang, Qilian University of Texas at Arlington ArlingtonTX76019 United States

ISBN: (纸本)9789819912551

We briefly review complex-valued neural networks (CVNNs) and compare them to real-valued neural networks (RVNNs). CVNNs allow for a richer representation of many wavelike based physics and engineering fields by retaining the data structure and correlation between real and imaginary parts of the signal. For example, most RF modulations use in-phase and quadrature components in which analysis benefits from the use of CVNNs. We then present state of the art in wireless radio applications utilizing CVNNs and/or complex-valued data. Wireless applications reviewed include modulation recognition, signal identification, channel sensing information and specific emitter identification. Finally, we present motivation for future exploration of CVNNs. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： cognitive radio

来源：评论

学校读者我要写书评

暂无评论

Investigation of cognitive Preference in Augmented Reality Node-Link Diagrams

Investigation of Cognitive Preference in Augmented Reality N...

引用

2023 IEEE international conference on Industrial Engineering and Engineering Management, IEEM 2023

作者： Yu, Z.Z. Zhou, X.Z. School of Mechanical Engineering Southeast University Nanjing China

ISBN: (纸本)9798350323153

Node-link diagrams are commonly used for visualizing entity-relationship data, but as the number of nodes and links increases, it can become challenging due to occlusion issues. One potential solution is representing these diagrams in 3D. In a recent study, we conducted a multi-factor experiment in an AR (Augmented Reality) environment to investigate how the complexity and spatial arrangement of node-link diagrams, as well as user interaction preferences, are related. We varied factors like viewing angle, rendering distance, and the number of nodes. Three viewing angles (24, 34, and 42 degrees) were tested, with three distance levels (23cm, 36cm, and 60cm) and three node count levels (8, 16, and 24). The results indicated that the time it took to perform tasks was mainly influenced by the viewing angle in the diagram's immediate vicinity. Surprisingly, participants preferred to rotate the node-link diagram for complex tasks, even though it took longer than simply walking and viewing. Additionally, participants tended to rotate the diagram when the target was closer during detailed viewing tasks. In these detailed tasks, people typically walked clockwise around the diagram and got closer to it. The research results have reference value for the human-computer interaction design of data visualization in the virtual space. © 2023 IEEE.

关键词： Augmented reality Human-computer interaction Node-link diagram

来源：评论

学校读者我要写书评

暂无评论

Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks 26th

Modeling Alzheimers' Disease Progression from Multi-task and...

引用

26th international conference on Medical Image computing and Computer-Assisted Intervention (MICCAI)

作者： Liang, Wei Zhang, Kai Cao, Peng Zhao, Pengfei Liu, Xiaoli Yang, Jinzhu Zaiane, Osmar R. Northeastern Univ Comp Sci & Engn Shenyang Peoples R China Northeastern Univ Key Lab Intelligent Comp Med Image Minist Educ Shenyang Peoples R China Natl Frontiers Sci Ctr Ind Intelligence & Syst Op Shenyang 110819 Peoples R China Nanjing Med Univ Affiliated Brain Hosp Nanjing Peoples R China DAMO Acad Alibaba Grp Hangzhou Peoples R China Univ Alberta Alberta Machine Intelligence Inst Edmonton AB Canada

ISBN: (纸本)9783031439063;9783031439070

Alzheimer's disease (AD) is a common irreversible neurodegenerative disease among elderlies. Establishing relationships between brain networks and cognitive scores plays a vital role in identifying the progression of AD. However, most of the previous works focus on a single time point, without modeling the disease progression with longitudinal brain networks data. Besides, the longitudinal data is insufficient for sufficiently modeling the predictive models. To address these issues, we propose a Self-supervised Multi-Task learning Progression model SMP-Net for modeling the relationship between longitudinal brain networks and cognitive scores. Specifically, the proposed model is trained in a self-supervised way by designing a masked graph auto-encoder and a temporal contrastive learning that simultaneously learn the structural and evolutional features from the longitudinal brain networks. Furthermore, we propose a temporal multi-task learning paradigm to model the relationship among multiple cognitive scores prediction tasks. Experiments on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset show the effectiveness of our method and achieve consistent improvements over state-of-the-art methods in terms of Mean Absolute Error (MAE), Pearson Correlation Coefficient (PCC) and Concordance Correlation Coefficient (CCC). Our code is available at https://***/IntelliDAL/Graph/tree/main/SMP-Net.

关键词： Self-supervised learning Multi-task learning cognitive scores Brain networks Longitudinal prediction

来源：评论

学校读者我要写书评

暂无评论

DCTCADM: data-Centric cognitive Agent Decision Making Based an Effective Handoff for Heterogeneous Wireless Communication 6

DCTCADM: Data-Centric Cognitive Agent Decision Making Based ...

引用

6th international conference on Recent Trends in Advance computing, ICRTAC 2023

作者： Muthulingam, S. Pandiyaraju, V. Malar, K. Ebenezar, U. Samson Manjunathan, N. Elumalai, Goutham Alliance University Computer Science and Engineering Bengaluru India Vellore Unstitute of Technology Computer Science and Engineering Chennai India Mriet Computer Science and Engineering Hyderabad India Saveetha Institute of Medical and Technical Saveetha School of Engineering Chennai India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Sci and Technology Computer Science and Engineering Chennai India

ISBN: (纸本)9798350394702

An effective handover decision-making methodology mainly concentrates on minimal handover drop and quick handoff process between two various networks. DCCAD algorithm combination of the cognitive Congestion Control Artificial Immune System (CoCAI), signal and velocity threshold algorithm (SVT), and Optimized Smart Communication Card (SCom Card) technique. DCCAD and the CoCAI approach aim to enhance the efficiency of network selection and maintain high call connectivity rates to facilitate seamless communication, even for mobile users navigating challenging mobility management systems within diverse wireless networks. The CoCAI method is responsible for overseeing and managing the selection of optimal networks while keeping connected mobile nodes connected. Additionally, this method monitors unnecessary handovers, considering user acceptance and the Received Signal Strength (RSS) level. Both DCCAD and CoCAI analyze the velocity and direction of mobile nodes by leveraging sequential Received Signal Strength Signal (SRSS) measurements. Moreover, CoCAI acquires details about the nearest networks using a nearest neighboring concept with the SVT ratio algorithm. An optimization technique, referred to as AHO, dynamically adjusts the threshold levels for node speed, load, and quality expectations based on received signal strength and user preferences. SCom Card provides a unique ID while starting communication. Though the ID master station has all the information about the sender all networks will perform the handover with a unique SCom Card ID only no other factors are required for the handover process. Due to this Card will reduce the handover time maximum. DCCAD method provides good results with all types of handovers. Especially for vertical hard handover and vertical soft handover. © 2023 IEEE.

关键词： Wireless networks

来源：评论

学校读者我要写书评

暂无评论

MLCardiovascularPrediction: Machine Learning-Based Cardiovascular Disease Prediction 3

MLCardiovascularPrediction: Machine Learning-Based Cardiovas...

引用

3rd international Mobile, Intelligent, and Ubiquitous computing conference, MIUCC 2023

作者： Abdelminaam, Diaa Salama Madbouly, Magda M. Zeid, Magdy Abd-Elghany Elatif Gomaa, Ibrahim Abd Abualigah, Laith Misr International University Faculty of Computer Science Cairo Egypt Benha University Faculty of Computers and Artificial Intelligence Benha Egypt Alexandria University Faculty of Computer and Data Science Alexandria Egypt Alobour High Institute for Computer and Informatics Computer Science Department Cairo Egypt Lebanese American University Department of Electrical and Computer Engineering Byblos13-5053 Lebanon Al-Ahliyya Amman University Hourani Center for Applied Scientific Research Amman19328 Jordan Middle East University Meu Research Unit Amman11831 Jordan School of Computer Sciences Universiti Sains Malaysia Pinang Pulau11800 Malaysia

ISBN: (纸本)9798350306231

Like most diseases that affect a human's life, car-diovascular disease is dangerous and unwanted for anyone who has heard of it as it brings a high risk of death. In today's world, most deaths are caused by heart disease as it could come from age, heritage, smoking, and many factors that could seem normal, and it doesn't matter what part of the world you are in. There must be a way to know or predict if this person is at high risk of cardiovascular disease. This paper and project talk about six algorithms: K-Nearest-Neighbour (KNN), Decision Tree (DT), Naive Bayes, Neural Network, Logistic Regression, and Support Vector Machine (SVM). The results came between 60% to 70% in one dataset and from 80 % to 90 % in the second. Still, they mostly favor the Neural Network algorithm as it can learn and model around complex relationships. The SVM showed different outputs between the two datasets as one is significantly larger than the other, possibly due to the outliers in both datasets being different and more complex in the larger one. Cardiovascular disease can be very dangerous, but finding and discovering it soon can be a lifesaver. These algorithms also can help find and predict it, as it was shown with not just decent, but good and respectable success rates for each one. © 2023 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Construction and analysis of Tibetan Khampa dialect corpus for speech synthesis 26

Construction and analysis of Tibetan Khampa dialect corpus f...

引用

26th conference of the Oriental COCOSDA international Committee for the Co-ordination and Standardization of Speech databases and Assessment Techniques, O-COCOSDA 2023

作者： Zhu, Yi Lu, Wenhuan Yangzom Hu, Mengfei Khysru, Kuntharrgyal We, Jianguo Tianjin University Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China Qinghai Minzu University Key Laboratory of Artificial Intelligence Application Technology State Ethnic Affairs Commission Xining China

ISBN: (纸本)9798350344028

High-quality corpus is the basis for supporting speech synthesis research, and the quality and efficiency of speech synthesis are directly affected by a good or bad speech synthesis corpus. The limited scope of Tibetan language usage and the complexity of phonology and grammar make the resources for this language relatively scarce, leading to a lag in the development of related technology applications. To address this situation, we designed an filtering algorithm based on phoneme balanced Tibetan text data, and selected 9179 Tibetan utterances from a large-scale text database as the text corpus to be used in building the corpus;then, we selected a professional male presenter of the Tibetan Khampa dialect to record the text corpus and build a speech synthesis corpus of about 25 hours in the Tibetan Khampa dialect. The statistical analysis and experimental results show that the synthesis model trained with this corpus can obtain natural and comprehensible speech, which verifies the completeness, validity and usefulness of this corpus. © 2023 IEEE.

关键词： Speech synthesis

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Network and Recursive Feature Elimination Based Model for the Diagnosis of Mild cognitive Impairments 1

引用

6th international conference on Soft computing and Signal Processing, ICSCSP 2023

作者： Bhasin, Harsh Mehrotra, Abheer Ohri, Ansh Department of Computer Science and Engineering Center for Health Innovations Manav Rachna International Institute of Research and Studies and Computer Science Engineering MRIIRS Aravali Hills Sector 43 Haryana Faridabad India Manav Rachna University Aravali Hills Sector 43 Haryana Faridabad India

ISBN: (数字)9789819984510

ISBN: (纸本)9789819984503

Aging leads to reduced cognitive abilities. A person heading toward dementia will also show such signs but with more severity. This stage is referred to as Mild cognitive Impairment. It has been observed that nearly one-fifth of the people suffering from MCI convert to dementia. The patients suffering from MCI who convert to dementia are called MCI-Converts and those who do not convert are called MCI Non-converts. This work proposes a model that extracts gray matter from the s-MRI brain volume and explores the applicability of combination of Convolutional Neural Network and Recursive Feature Elimination in the diagnosis of MCI. Features of the data obtained using the carefully crafted CNN followed by the selection of the appropriate features using Recursive Feature Elimination are then used to accomplish the task. Empirical analysis has been done to select the parameters of the CNN. The results are better than the state of the art and pave way for the exploitation of the Deep Learning models to classify the Converts and the Non-converts. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Magnetic resonance imaging

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72页 << < 29 30 31 32 33 34 35 36 37 38 > >>

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：