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Advances in Computational Intelligence and Robotics最新文献

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Digital Preservation of Cultural Heritage 文化遗产数字化保存
Advances in Computational Intelligence and Robotics Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-5879-9.CH006
Tlou Maggie Masenya
{"title":"Digital Preservation of Cultural Heritage","authors":"Tlou Maggie Masenya","doi":"10.4018/978-1-7998-5879-9.CH006","DOIUrl":"https://doi.org/10.4018/978-1-7998-5879-9.CH006","url":null,"abstract":"Given that cultural heritage resources are irreplaceable, their protection is critical. Digital preservation has become a popular method for safeguarding cultural heritage resources in recent years. The purpose of this chapter was to determine how digital preservation can be used as a strategy to promote access to cultural heritage for sustainable development of South African rural communities. Data collection was based on a critical review of literature in order to analyze policy and mechanisms being put in place for effective preservation of cultural heritage. Findings revealed that most of African rural communities do not have mechanisms for safeguarding their cultural heritage, and there is lack of technological tools for preservation of cultural heritage. Cultural heritage policy should also be implemented and better explained to the rural communities' authorities.","PeriodicalId":101845,"journal":{"name":"Advances in Computational Intelligence and Robotics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126890515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Applications of Artificial Neural Networks for Nonlinear Data 人工神经网络在非线性数据中的应用
Advances in Computational Intelligence and Robotics Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-4042-8
{"title":"Applications of Artificial Neural Networks for Nonlinear Data","authors":"","doi":"10.4018/978-1-7998-4042-8","DOIUrl":"https://doi.org/10.4018/978-1-7998-4042-8","url":null,"abstract":"","PeriodicalId":101845,"journal":{"name":"Advances in Computational Intelligence and Robotics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126547830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning 人工生命、人工智能和机器学习新研究手册
Advances in Computational Intelligence and Robotics Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8686-0
{"title":"Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning","authors":"","doi":"10.4018/978-1-7998-8686-0","DOIUrl":"https://doi.org/10.4018/978-1-7998-8686-0","url":null,"abstract":"","PeriodicalId":101845,"journal":{"name":"Advances in Computational Intelligence and Robotics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126330636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advanced Robotics and Intelligent Automation in Manufacturing 制造业中的先进机器人和智能自动化
Advances in Computational Intelligence and Robotics Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-1382-8
Maki, K., Habib
{"title":"Advanced Robotics and Intelligent Automation in Manufacturing","authors":"Maki, K., Habib","doi":"10.4018/978-1-7998-1382-8","DOIUrl":"https://doi.org/10.4018/978-1-7998-1382-8","url":null,"abstract":"","PeriodicalId":101845,"journal":{"name":"Advances in Computational Intelligence and Robotics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114067745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Groupwise Non-Rigid Image Alignment Using Few Parameters 使用少量参数分组非刚性图像对齐
Advances in Computational Intelligence and Robotics Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-9069-9.CH020
A. Aal-Yhia, Bernard Paul Tiddeman, P. Malcolm, R. Zwiggelaar
{"title":"Groupwise Non-Rigid Image Alignment Using Few Parameters","authors":"A. Aal-Yhia, Bernard Paul Tiddeman, P. Malcolm, R. Zwiggelaar","doi":"10.4018/978-1-5225-9069-9.CH020","DOIUrl":"https://doi.org/10.4018/978-1-5225-9069-9.CH020","url":null,"abstract":"Groupwise non-rigid image alignment is a difficult non-linear optimization problem involving many parameters and often large datasets. Previous methods have explored various metrics and optimization strategies. Good results have been previously achieved with simple metrics, requiring complex optimization, often with many unintuitive parameters that require careful tuning for each dataset. In this chapter, the problem is restructured to use a simpler, iterative optimization algorithm, with very few free parameters. The warps are refined using an iterative Levenberg-Marquardt minimization to the mean, based on updating the locations of a small number of points and incorporating a stiffness constraint. This optimization approach is efficient, has very few free parameters to tune, and the authors show how to tune the few remaining parameters. Results show that the method reliably aligns various datasets including two facial datasets and two medical datasets of prostate and brain MRI images and demonstrates efficiency in terms of performance and a reduction of the computational cost.","PeriodicalId":101845,"journal":{"name":"Advances in Computational Intelligence and Robotics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114146663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis Report for Statistics in the Twitter Network 推特网络统计分析报告
Advances in Computational Intelligence and Robotics Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-7728-8.ch003
P. R., Yamani Sai Asish, P. V.
{"title":"Analysis Report for Statistics in the Twitter Network","authors":"P. R., Yamani Sai Asish, P. V.","doi":"10.4018/978-1-7998-7728-8.ch003","DOIUrl":"https://doi.org/10.4018/978-1-7998-7728-8.ch003","url":null,"abstract":"Twitter is the most popular social networking service across the world. In Twitter, the messages are known as tweets. Tweets are mainly text-based posts that can be up to 140 characters long which can reach the author's subscribers. These subscribers are also known as followers. Such subscriptions form a direct connection. But these connections are not always symmetric. In this study, the authors have assumed that if two nodes are connected, then the tweet is propagated between them without any other conditions. But using sentiment analysis, the general opinion of people about various things can be figured. The Twitter data set analyzed includes almost 20k nodes and 33k edges, where the visualization is done with software called Gephi. Later a deep dive analysis is done by calculating some of the metrics such as degree centrality and closeness centrality for the obtained Twitter network. Using this analysis, it is easy to find the influencers in the Twitter network and also the various groups involved in the network.","PeriodicalId":101845,"journal":{"name":"Advances in Computational Intelligence and Robotics","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121262639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Introduction to a Collaborative Mobile Web Platform 协同移动Web平台简介
Advances in Computational Intelligence and Robotics Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-9069-9.CH012
Isabel Araújo, P. Faria
{"title":"Introduction to a Collaborative Mobile Web Platform","authors":"Isabel Araújo, P. Faria","doi":"10.4018/978-1-5225-9069-9.CH012","DOIUrl":"https://doi.org/10.4018/978-1-5225-9069-9.CH012","url":null,"abstract":"From an early age, young people use mobile devices and are known as a “native digital generation,” who constantly access information through mobile devices. Thus, educational practices are not indifferent to this reality. Consequently, several online platforms supporting the teaching-learning process have been developed. Additionally, several higher education institutions have a weekly attendance time, where teachers seek to clarify student's doubts physically in the institution. However, oftentimes, the students do not use that attendance time. In order to seek to improve this issue, a collaborative mobile web platform was developed: Higher M@t-EduTutor. This chapter starts by introducing a theoretical framework and then presents a broad study on collaborative web platforms in order to better relate them with the developed platform. This specific platform, to be used in mobile devices, with the objective of promoting students learning, allows students to clarify doubts with their teachers, collaboratively, in real time and at distance.","PeriodicalId":101845,"journal":{"name":"Advances in Computational Intelligence and Robotics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116210724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition 高级机器智能在计算机视觉和物体识别中的应用
Advances in Computational Intelligence and Robotics Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-2736-8
{"title":"Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition","authors":"","doi":"10.4018/978-1-7998-2736-8","DOIUrl":"https://doi.org/10.4018/978-1-7998-2736-8","url":null,"abstract":"","PeriodicalId":101845,"journal":{"name":"Advances in Computational Intelligence and Robotics","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116572749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Enrichment Ontology via Linked Data 通过关联数据丰富本体
Advances in Computational Intelligence and Robotics Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7338-8.CH005
Salvia Praga
{"title":"Enrichment Ontology via Linked Data","authors":"Salvia Praga","doi":"10.4018/978-1-5225-7338-8.CH005","DOIUrl":"https://doi.org/10.4018/978-1-5225-7338-8.CH005","url":null,"abstract":"The automatic construction of ontologies from texts is usually based on the text itself, and the domain described is limited to the content of the text. In order to design semantically richer ontologies, the authors propose to extend the classical methods of ontology construction (1) by taking into account the text from the point of view of its structure and its content to build a first nucleus ontology and (2) enriching the ontology obtained by exploiting external resources (general texts and controlled vocabularies of the same domain). This chapter describes how these different resources are analyzed and exploited using linked data properties.","PeriodicalId":101845,"journal":{"name":"Advances in Computational Intelligence and Robotics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130158508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality 增强、混合和虚拟现实的多媒体和感官输入
Advances in Computational Intelligence and Robotics Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-4703-8
{"title":"Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality","authors":"","doi":"10.4018/978-1-7998-4703-8","DOIUrl":"https://doi.org/10.4018/978-1-7998-4703-8","url":null,"abstract":"","PeriodicalId":101845,"journal":{"name":"Advances in Computational Intelligence and Robotics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116525023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
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