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

9,485 篇 会议
1,076 册 图书

馆藏范围

10,561 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

9,153 篇 工学
- 8,699 篇 计算机科学与技术...
- 4,037 篇 信息与通信工程
- 1,156 篇 机械工程
- 725 篇 软件工程
- 531 篇 电气工程
- 228 篇 农业工程
- 147 篇 控制科学与工程
- 116 篇 环境科学与工程（可...
- 81 篇 城乡规划学
- 44 篇 生物医学工程（可授...
- 34 篇 安全科学与工程
- 25 篇 测绘科学与技术
- 25 篇 生物工程
- 18 篇 电子科学与技术（可...
- 17 篇 土木工程
1,977 篇 管理学
- 1,925 篇 管理科学与工程(可...
- 116 篇 工商管理
- 57 篇 图书情报与档案管...
542 篇 农学
- 538 篇 作物学
364 篇 理学
- 155 篇 科学技术史(分学科...
- 143 篇 数学
- 35 篇 生物学
- 17 篇 大气科学
- 16 篇 地理学
174 篇 教育学
- 174 篇 教育学
165 篇 法学
- 147 篇 社会学
- 16 篇 政治学
82 篇 文学
- 81 篇 新闻传播学
52 篇 经济学
- 41 篇 理论经济学
16 篇 医学
- 16 篇 基础医学(可授医学...
1 篇 军事学
1 篇 艺术学

主题

282 篇 artificial intel...
275 篇 computer communi...
253 篇 industry 4.0
233 篇 information syst...
182 篇 machine learning
130 篇 simulation
125 篇 computer applica...
113 篇 computers and so...
108 篇 collaborative ne...
98 篇 knowledge manage...
95 篇 sustainability
86 篇 theory of comput...
84 篇 software enginee...
83 篇 internet of thin...
81 篇 deep learning
79 篇 software enginee...
77 篇 circular economy
77 篇 optimization
74 篇 management of co...
71 篇 digitalization

机构

62 篇 china agr univ c...
45 篇 univ paulista sa...
40 篇 norwegian univ s...
38 篇 natl engn res ct...
30 篇 tecnol monterrey...
29 篇 university of am...
27 篇 zf friedrichshaf...
27 篇 beijing res ctr ...
26 篇 univ hong kong c...
26 篇 politecn milan d...
24 篇 university of pi...
24 篇 univ bergamo ber...
23 篇 univ cape town c...
23 篇 politecn milan d...
23 篇 tecnol monterrey...
23 篇 chalmers univ te...
21 篇 democritus unive...
20 篇 china agr univ c...
20 篇 univ oslo oslo
20 篇 nova university ...

作者

63 篇 luis m. camarinh...
55 篇 taisch marco
47 篇 camarinha-matos ...
41 篇 chow kam-pui
41 篇 ilias maglogiann...
39 篇 wuest thorsten
38 篇 afsarmanesh hami...
38 篇 powell daryl
38 篇 stich volker
36 篇 nielsen kjeld
35 篇 gaiardelli paolo
33 篇 tzovaras dimitri...
32 篇 kiritsis dimitri...
32 篇 chochliouros ioa...
30 篇 hamideh afsarman...
29 篇 strandhagen jan ...
29 篇 schuh guenther
27 篇 rabelo ricardo j...
27 篇 alfnes erlend
26 篇 dolgui alexandre

语言

10,514 篇 英文
47 篇 中文

检索条件"丛书名=IFIP Advances in Information and Communication Technology 461"

共 10561 条记录，以下是231-240 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：

KeepOriginalAugment: Single Image-Based Better information-Preserving Data Augmentation Approach 20th

KeepOriginalAugment: Single Image-Based Better Information-P...

引用

20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Kumar, Teerath Mileo, Alessandra Bendechache, Malika Dublin City Univ CRT AI Dublin Ireland Dublin City Univ ADAPT Res Ctr Sch Comp Dublin Ireland Dublin City Univ INSIGHT Dublin Ireland Dublin City Univ I Form Res Ctr Sch Comp Dublin Ireland Univ Galway ADAPT Galway Ireland Univ Galway Lero Res Ctr Sch Comp Sci Galway Ireland

ISBN: (纸本)9783031632259;9783031632235;9783031632228

Advanced image data augmentation techniques play a pivotal role in enhancing the training of models for diverse computer vision tasks. Notably, SalfMix and KeepAugment have emerged as popular strategies, showcasing their efficacy in boosting model performance. However, SalfMix reliance on duplicating salient features poses a risk of overfitting, potentially compromising the model's generalization capabilities. Conversely, KeepAugment, which selectively preserves salient regions and augments non-salient ones, introduces a domain shift that hinders the exchange of crucial contextual information, impeding overall model understanding. In response to these challenges, we introduce KeepOriginalAugment, a novel data augmentation approach. This method intelligently incorporates the most salient region within the non-salient area, allowing augmentation to be applied to either region. Striking a balance between data diversity and information preservation, KeepOriginalAugment enables models to leverage both diverse salient and non-salient regions, leading to enhanced performance. We explore three strategies for determining the placement of the salient region-minimum, maximum, or random-and investigate swapping perspective strategies to decide which part (salient or non-salient) undergoes augmentation. Our experimental evaluations, conducted on classification datasets such as CIFAR-10, CIFAR-100, and TinyImageNet, demonstrate the superior performance of KeepOriginalAugment compared to existing state-of-the-art techniques. The source code for our KeepOriginalAugment method, along with trained models, is publicly available at https://***/kmr2017.

关键词： Computer vision Data Augmentation Deep learning Image classification

来源：评论

学校读者我要写书评

暂无评论

Redefining Homeland Security 17th

Redefining Homeland Security

引用

17th Critical Infrastructure Protection

作者： White, Richard Univ Colorado Colorado Springs Colorado Springs CO 80309 USA

ISBN: (纸本)9783031495878;9783031495854;9783031495847

Definitions are important, especially in the U.S. federal government. They are the basis of laws that justify budgets, fund programs and determine capabilities. However, definitions are notoriously difficult to cast because they must contend with exceptions and changing circumstances. This is the case with the U.S. definition of homeland security. Despite its importance, the definition of homeland security has languished for years. The definition posted on the U.S. Department of Homeland Security website is a throwback to the original 2002 definition and apparently ignores the lessons of history that demonstrate it is deficient. In 2007, the U.S. Congress passed a law mandating a Quadrennial Homeland Security Review to prevent future lapses in homeland security. However, the definition that emerged from the first review in 2010 persists. Although it improves on the original 2002 definition, it does not adequately consider new and resurgent threats that face the nation. This chapter examines various definitions of homeland security, discusses why they are inadequate and proposes a new definition that is accurate and concise. A good definition is important to help shape the U.S. Department of Homeland Security mission, set priorities, justify budgets and ensure that programs are successful.

关键词： Homeland Security Definition Non-State Actors Terrorism Weapons of Mass Destruction

来源：评论

学校读者我要写书评

暂无评论

Generating Profiles of News Commentators with Language Models 1

引用

20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Power, William Obradovic, Zoran Temple Univ Ctr Data Analyt & Biomed Informat Philadelphia PA 19122 USA

ISBN: (数字)9783031632150

ISBN: (纸本)9783031632174;9783031632150;9783031632143

Understanding the ebb and flow of online conversation has become a core task in a variety of domains. Public policy, public relations, marketing, and a host of other fields concern themselves with extracting, predicting, and reacting to, changes in the topics being discussed by online users, and the disposition these users have with respect to topics of interest. Creating systems that can automate or simplify this process would have an immediate effect on these endeavors. To that end, this contribution proposes a method of leveraging large language models to process corpus' of online content and comments to generate a set of descriptive profiles describing the hypothetical positions of a commentator engaged with the content. We propose a method of crafting prompts for language models that tasks them with generating these 'Ideal Profiles'. This method is used to generate profiles based on a corpus of news articles and their associated comments. To evaluate their utility, learned topic models are fit to the article and comment data, as well as manually constructed sets of comparison profiles. The learned topic models are used to evaluate perplexity and coherence metrics between the generated profiles and evaluation corpus'. This paper highlights results that suggest that the profiles generated contain meaningful topics, and that they have coherence with manually constructed profiles.

关键词： Topic Modeling Language Models Natural Language Processing Prompt Engineering

来源：评论

学校读者我要写书评

暂无评论

Human-In-The-Loop Based Success Rate Prediction for Medical Crowdfunding 1

引用

20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Zhou, Yingying Ma, Yongqiang Tang, Xin Wang, Jianji Zheng, Nanning Xi An Jiao Tong Univ Natl Engn Res Ctr Visual Informat & Applicat Inst Artificial Intelligence & Robot Natl Key Lab Human Machine Hybrid Augmented Intel Xian 710049 Shaanxi Peoples R China Southern Univ Sci & Technol Coll Business Natl Ctr Appl Math Shenzhen Shenzhen 518055 Peoples R China

ISBN: (数字)9783031632112

ISBN: (纸本)9783031632136;9783031632112;9783031632105

Medical crowdfunding serves as a pivotal means of donor-driven funding to assist individuals unable to afford medical expenses. However, challenges such as a low success rate and suboptimal fundraising performances have garnered significant attention from medical crowdfunding platforms. This study employs a comprehensive framework combining neural network and tree models, augmented by Human-In-The-Loop (HITL), to predict the success rates of medical crowdfunding campaigns and identify the crucial determinants of fundraising effectiveness. Our approach enhances model interpretability, offering insights into the prediction and inference processes, and incorporates human feedback at various stages of model training and testing. We apply the method to a structured dataset from a leading medical crowdfunding platform. The findings indicate that our method achieves accuracy of 94.9%, AUC value of 98.2%, recall rate of 86.4%, and F1 score of 89.2% on the binary classification task. Further analysis reveals the primary factors influencing crowdfunding success to be the target amount and the duration of the fundraising campaign. These results prove the efficacy of incorporating HITL into the model development process, markedly enhancing performance and facilitating a deeper understanding of both the dataset and model predictions

关键词： Medical Crowdfunding Success Rate Fundraising Performance Human-In-The-Loop Structured Data

来源：评论

学校读者我要写书评

暂无评论

WeedOut: An Autonomous Weed Sprayer in Smart Agriculture Framework Using Semi-Supervised Non-CNN Annotation 6th

WeedOut: An Autonomous Weed Sprayer in Smart Agriculture Fra...

引用

6th ifip WG 5.5 International Cross-Domain Conference on Internet of Things

作者： Kethineni, Kiran Kumar Mitra, Alakananda Mohanty, Saraju P. Kougianos, Elias Univ North Texas Dept Comp Sci & Engn Denton TX 76205 USA Univ Nebraska Lincoln Inst Agr & Nat Resource Nebraska Water Ctr Lincoln NE USA Univ North Texas Dept Elect Engn Denton TX USA

ISBN: (纸本)9783031458804;9783031458781;9783031458774

With rising challenges and depleting resources, many automation solutions have been developed in agriculture. Integration of Internet-of-Agro-Things (IoAT) and Artificial Intelligence (AI) helped gain better yields while maximizing utilization of minimal resources. Weed management being a task affecting quality and yield of crop attracted attention of automation. However, due to the diverse nature of agriculture, same crop from various geographical locations in different growth stages exhibit different features. Additionally, unknown weeds might also exist in the farm rendering feature based supervised CNN solutions not suitable for weed classification. The current paper presents a weed management Agriculture Cyber-Physical System (A-CPS) called WeedOut with a novel methodology enabling it to work in feature variant environments. WeedOut uses a Semi-Supervised methodology that classifies crops by their shapes and labels them as primary crop and weed crop with minimal inputs from farmer. An autonomous weed sprayer uses outputted labeled images to spray herbicide at weed locations and save primary crop.

关键词： Smart Agriculture Agriculture Cyber-Physical System (A-CPS) Internet-of-Agro-Things (IoAT) Artificial Intelligence Computer Vision Semi-Supervised Learning Weed Pressure Weed management

来源：评论

学校读者我要写书评

暂无评论

A Multi-modal Approach Towards Public Alerting and Effective communication in Disaster Scenarios: Implementation in the Indian Context 8th

A Multi-modal Approach Towards Public Alerting and Effective...

引用

8th International Conference on information technology in Disaster Risk Reduction (ITDRR)

作者： Basu, Saurabh Behera, Suvam Suvabrata Sharma, Sandeep Kumar, Anugandula Naveen Jha, Sumit Kumar Dawar, Akshay Bhaskar, Manish Roy, Achinta Kushwaha, Niraj Kant Majumdar, Sabyasachi Sachdev, Smriti Dalela, Pankaj Kumar Ctr Dev Telemat New Delhi India

ISBN: (纸本)9783031640391;9783031640377;9783031640360

Effective communication backed by efficient ICT systems can support in enhancing resilience for disaster risk reduction. At the time of disasters, government agencies, first responders, as well as the general public, all require timely access to entrusted, understandable, relevant, and actionable information. The necessity of an efficient public alerting system has been advocated at various international forums from time to time. The study offers a multi-modal strategy that involves multi-stakeholders to bridge communication gaps;is multi-phased to be used in all phases of disaster management;targets multi-hazards;uses multi-technology including telecom, satellite, mobile, internet, and broadcasting technologies;supports multi-linguality to disseminate alerts in local regional languages;and offers targeted information in multi-media format for all citizens. The paper presents the information regarding the alerting system implementation carried out in India, specifying the detailed methodology, use case scenarios, actual platform usage and its impact in various disaster situations.

关键词： Disaster Management Early Warning System Disaster communications Early Warnings for All Common Alerting Protocol

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Models for Predicting Celiac Disease Based on Non-invasive Clinical Symptoms 1

引用

20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Calin, Alina Delia Babes Bolyai Univ Dept Comp Sci 1 M Kogalniceanu St Cluj Napoca 400084 Romania

ISBN: (数字)9783031632112

ISBN: (纸本)9783031632136;9783031632112;9783031632105

Celiac Disease is an autoimmune disease with a prevalence between 1-1.8% worldwide. As it is believed to be highly underdiagnosed, new approaches and protocols are being explored for this purpose. In this paper, we aim to use artificial intelligence models to support the medical diagnosis of Celiac Disease from clinical symptoms and biomarkers. Through our experiments, we identified accurate models able to predict Celiac Disease diagnosis from noninvasive clinical indicators with an accuracy of 0.97, and the specific type of disease from 6 different classes with an accuracy of 0.92. Thus, even with the limitations of the present study, we conclude that machine learning can help support the diagnosis of Celiac Disease and provide an accurate identification of its type. We encourage researchers to collect and share data on Celiac Disease as it is necessary for improving the intelligent models and their robustness.

关键词： machine learning Celiac Disease Random Forest Naive Bayes XGBClassifier

来源：评论

学校读者我要写书评

暂无评论

Towards a Reference Architecture for Collaborative Decision Support Systems for Natural Disasters Management 25th

Towards a Reference Architecture for Collaborative Decision ...

引用

25th ifip WG 5.5 Working Conference on Virtual Enterprises (PRO-VE)

作者： Zanchett, Pedro S. Rabelo, Ricardo J. Univ Fed Santa Catarina Florianopolis SC Brazil

ISBN: (纸本)9783031717413;9783031717390;9783031717383

Natural disasters (ND) have become increasingly frequent, causing impactful social, economic, and environmental consequences. Civil defenses and related actors are the ones in charge of handling ND throughout their life cycles regarding their different types and intensities. There are plenty of issues that should be considered when facing a ND, including very complex analyses and collaborative decision-making. Studies show an increasing use of decision support systems (DSS) to assist civil defenses in ND. However, it was observed that the numerous DSS for ND cover only isolated parts of the problem, making it difficult to design a complete, scalable, and globally coherent roadmap for civil defenses and software developers. This article proposes a reference architecture aiming at acting as a blueprint for derivation of particular ND DSS. A software prototype has been developed to show a derived DSS based on a civil defense organization. Conclusions and next steps of this work are presented at the end.

关键词： natural disasters reference architecture decision support systems

来源：评论

学校读者我要写书评

暂无评论

Generative AI-Augmented Decision-Making for Business information Systems 16th

Generative AI-Augmented Decision-Making for Business Informa...

引用

16th ifip International Conference on Human Choice and Computers (HCC)

作者： Kromidha, Endrit Davison, Robert M. Univ Birmingham Birmingham W Midlands England City Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9783031675379;9783031675355;9783031675348

The integration of Generative Artificial Intelligence (GAI) in decision-making has ushered in a new era of opportunities and challenges for organizations. However, due to the way GAI algorithms work, the propagation of social biases and the lack of transparency on how they use data raises concerns about the autonomy and control of human decision-making powered by such systems. In this experimental research paper, we contrast the answers that ChatGPT, a popular GAI tool, can give us in the context of decision-making with what we know about such processes from the management and business information systems literature. Our findings suggest that GAI can facilitate the organization of information and options for making decisions. However, without a moral and ethical stance, the responsibility for the decisions remains with the human actor. Suggesting a collaborative approach between humans and GAI, we reflect on the changes to learning and adaptation patterns that need to happen on both sides to reform the way we make GAI-augmented decisions.

关键词： Generative Artificial Intelligence (GAI) ChatGPT Decision-Making Business information Systems

来源：评论

学校读者我要写书评

暂无评论

Undesignated Evacuation Site Location Characteristics: Identification by Mobile Spatial Statistics and Consideration of Support Methods 8th

Undesignated Evacuation Site Location Characteristics: Ident...

引用

8th International Conference on information technology in Disaster Risk Reduction (ITDRR)

作者： Nishiwaki, Fumiya Hatayama, Michinori Funakoshi, Koki Hitachi Ltd 1070 Ichige Hitachinaka Ibaraki 3128506 Japan Kyoto Univ Uji Kyoto 6110011 Japan Nippon Telegraph & Tel West Corp 4-15-82 Higashinoda Machi Miyakojima Osaka 5340024 Japan

ISBN: (纸本)9783031640391;9783031640377;9783031640360

When a large-scale disaster occurs, disaster-affected people are evacuated to undesignated evacuation sites. Such evacuees are detected by reports to the government from the evacuees themselves, neighborhoods, or support groups, by information from social media, or by official government patrols. However, finding them and providing timely support during the chaotic period at the beginning of a disaster is difficult. In this study, we propose a method for identifying such evacuees using mobile special statistics provided by NTT DOCOMO, Inc. We then analyzed the location characteristics of the undesignated evacuation sites. Undesignated evacuation sites tended to be located near designated evacuation shelters and major roads as location characteristics. Using these results, searching for undesignated evacuation sites based on designated evacuation shelters and delivering assistance to a larger number of disaster-affected people is possible. The findings enable efficient search and assistance strategies, offering valuable insights for disaster response planning.

关键词： Evacuation shelter Mobile phone data Location characteristics

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 << < 20 21 22 23 24 25 26 27 28 29 > >>

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：