Recent Advances in Computer Science and Communications

2020 ◽  
Keyword(s):  
Computer Science ◽  
Recent Advances

Withdrawn: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC)

2019 ◽  
Vol 13 ◽  
Author(s):  
Abeer A. Amer ◽  
Soha M. Ismail
Keyword(s):  
Diabetes Mellitus ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Computer Science ◽  
Recent Advances ◽  
Vascular Center ◽  
Copyright Permission ◽  
Legal Right

The following article has been withdrawn on the request of the author of the journal Recent Advances in Computer Science and Communications (Recent Patents on Computer Science): Title: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC) Authors: Abeer A. Amer and Soha M. Ismail* Bentham Science apologizes to the readers of the journal for any inconvenience this may cause BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Withdrawal Notice: An Improved Collaborative Filtering Method through Content Association

2018 ◽  
Vol 13 ◽  
Author(s):  
Runyuan Sun ◽  
Ke Ji ◽  
Kun Ma ◽  
Dongfeng Yuan
Keyword(s):  
Computer Science ◽  
Collaborative Filtering ◽  
Editorial Policy ◽  
Editorial Policies ◽  
Filtering Method ◽  
Recent Advances ◽  
Copyright Permission ◽  
Legal Right

The article has been withdrawn at the request of the authors and editor of the journal Recent Advances in Computer Science and Communications. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Withdrawal Notice: Empowering Secured Outsourcing in Cloud Storage Through Data Integrity Verification

2019 ◽  
Vol 13 ◽  
Author(s):  
C. Saranya Jothi ◽  
N. Rajkumar
Keyword(s):  
Computer Science ◽  
Cloud Storage ◽  
Editorial Policy ◽  
Data Integrity ◽  
Editorial Policies ◽  
Integrity Verification ◽  
Recent Advances ◽  
Copyright Permission ◽  
Legal Right

The article has been withdrawn at the request of the authors and editor of the journal Recent Advances in Computer Science and Communications. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Withdrawal Notice: BotGuard: Clustering and correlation of network traffic for Botnet detection

2020 ◽  
Vol 13 ◽  
Author(s):  
Abhilasha Vyas ◽  
Usha Batra
Keyword(s):  
Computer Science ◽  
Network Traffic ◽  
Editorial Policy ◽  
Botnet Detection ◽  
Editorial Policies ◽  
Recent Advances ◽  
Copyright Permission ◽  
Legal Right

The article has been withdrawn at the request of the authors and editor of the journal Recent Advances in Computer Science and Communications. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

scholarly journals Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview

2021 ◽  
Author(s):  
Giovanna Castellano ◽  
Gennaro Vessio
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Computer Science ◽  
Visual Arts ◽  
Visual Art ◽  
Learning Approaches ◽  
Pattern Extraction ◽  
Art Collections ◽  
Recent Advances ◽  
Art Community

AbstractThis paper provides an overview of some of the most relevant deep learning approaches to pattern extraction and recognition in visual arts, particularly painting and drawing. Recent advances in deep learning and computer vision, coupled with the growing availability of large digitized visual art collections, have opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand visual arts. Among other benefits, a deeper understanding of visual arts has the potential to make them more accessible to a wider population, ultimately supporting the spread of culture.

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