Open Access Published since April 16, 2011

Open Computer Science

ISSN: 2299-1093

Editor-in-chief: Egon L. van den Broek

About this journal

Open Computer Science is a fully peer-reviewed, open access, electronic-only journal publishing works of wide significance, originality and relevance. The journal provides the readers with free, instant, and permanent access to all content worldwide; and the authors with extensive promotion of published articles, long-term preservation, no space constraints and quick publication.

Open Computer Science is listed inter alia by Web of Science (ESCI - Emerging Sources Citation Index) and SCOPUS. Our standard policy requires each paper to be reviewed by at least two Referees and the peer-review process is single-blind.

Open Computer Science publishes original and significant research results in the following fields:

algorithms and complexity theory
artificial intelligence
bioinformatics
networking and security systems
programming languages
system and software engineering
theoretical foundations of computer science

The journal considers submissions of different types of articles, including "Research Articles" as well as “Review Articles”, which present the existing literature and achievements on the specific topic from new perspectives. We accept both theoretical and empirical contributions.

Why read

Open Computer Science is a premier source of a high quality research. Thanks to Open Access all articles are freely available to the academic community worldwide.

Your Benefits

Why submit

Authors benefit from:

fair and constructive peer-review
no space constraints
quick publication of accepted papers*
Open Access for all articles**
promotion of published papers to readers and citers
long-term preservation of the content***

* The journal uses continuous publication model − accepted manuscripts are published quickly after the acceptance.
** Thanks to Open Access, all articles are freely available to the academic community worldwide without any restrictions, there are more liberal policies on copyrights (authors retain copyright) and on self-archiving (no embargo periods).
*** The journal is archived in Portico.

Detailed information on Editorial Policy, Publication Ethics, Instructions for Authors etc. can be found below and in the Supplementary Information section.

Publication fees

From January 1, 2021, articles accepted for publication in Open Computer Science are subject to Article Processing Charges (APCs). The publication fee amounts to 1000 EUR. Authors who have no funding for the submitted research can request a waiver or a discount during the submission process.

Read more about our pricing policy, available discounts and waiver policy.

Abstracting and Indexing

Open Computer Science is covered by the following services:

Arianta
Baidu Scholar
Cabells Journalytics
Chronos Hub
CNKI Scholar (China National Knowledge Infrastructure)
CNPIEC - cnpLINKer
DBLP Computer Science Bibliography
Dimensions
DOAJ (Directory of Open Access Journals)
EBSCO (relevant databases)
EBSCO Discovery Service
Ei Compendex
Engineering Village
GoOA
Google Scholar
Index Copernicus
Inspec
Japan Science and Technology Agency (JST)
J-Gate
JournalTOCs
KESLI-NDSL (Korean National Discovery for Science Leaders)
Microsoft Academic
MyScienceWork
Naver Academic
Norwegian Register for Scientific Journals, Series and Publishers
POL-index
Publons
QOAM (Quality Open Access Market)
ReadCube
SCImago (SJR)
SCOPUS
Semantic Scholar
Sherpa/RoMEO
Summon (ProQuest)
TDNet
Ulrich's Periodicals Directory/ulrichsweb
WanFang Data
Web of Science - Emerging Sources Citation Index
WorldCat (OCLC)
Yewno Discover

Supplementary Materials

Topics

External Links

Volume 11 Issue 1

The authors consider a continuous dynamic approximating model of a gas fields group and, on its basis, set maximum and minimum issues. The tasks proposed for research are optimal control problems with mixed constraints with free-final-time and moving right end. We analytically solve the rapid-action problem. The central mathematical apparatus is Pontryagin maximum principle in Arrow form, using Lagrange multipliers. The theoretically obtained results of the analysis are of particular interest.

Retinal image analysis is one of the important diagnosis methods in modern ophthalmology because eye information is present in the retina. The image acquisition process may have some effects and can affect the quality of the image. This can be improved by better image enhancement techniques combined with the computer-aided diagnosis system. Deep learning is one of the important computational application techniques used for a medical imaging application. The main aim of this article is to find the best enhancement techniques for the identification of diabetic retinopathy (DR) and are tested with the commonly used deep learning techniques, and the performances are measured. In this article, the input image is taken from the Indian-based database named as Indian Diabetic Retinopathy Image Dataset, and 13 filters are used including smoothing and sharpening filters for enhancing the images. Then, the quality of the enhancement techniques is compared using performance metrics and better results are obtained for Median, Gaussian, Bilateral, Wiener, and partial differential equation filters and are combined for improving the enhancement of images. The output images from all the enhanced filters are given as the convolutional neural network input and the results are compared to find the better enhancement method.

Detection of plant disease has a crucial role in better understanding the economy of India in terms of agricultural productivity. Early recognition and categorization of diseases in plants are very crucial as it can adversely affect the growth and development of species. Numerous machine learning methods like SVM (support vector machine), random forest, KNN ( k -nearest neighbor), Naïve Bayes, decision tree, etc., have been exploited for recognition, discovery, and categorization of plant diseases; however, the advancement of machine learning by DL (deep learning) is supposed to possess tremendous potential in enhancing the accuracy. This paper proposed a model comprising of Auto-Color Correlogram as image filter and DL as classifiers with different activation functions for plant disease. This proposed model is implemented on four different datasets to solve binary and multiclass subcategories of plant diseases. Using the proposed model, results achieved are better, obtaining 99.4% accuracy and 99.9% sensitivity for binary class and 99.2% accuracy for multiclass. It is proven that the proposed model outperforms other approaches, namely LibSVM, SMO (sequential minimal optimization), and DL with activation function softmax and softsign in terms of F -measure, recall, MCC (Matthews correlation coefficient), specificity and sensitivity.

Volume 4 (2014)

Volume 3 (2013)

Volume 2 (2012)

Volume 1 (2011)

Cite Score	1.1
Index Copernicus Value	97.86
Journal Citation Indicator	0.13
SCImago Journal Rank	0.147
Source Normalized Impact per Paper	0.691

Submit

MANUSCRIPTS
Open Computer Science encourages the submission of both substantial full-length bodies of work and shorter manuscripts that report novel findings that might be based on a more limited range of experiments. There are no specific length restrictions for the overall manuscript or individual sections; however, we urge the authors to present and discuss their findings in a concise and accessible manner. All submissions should be written in clear and concise English.

Important documents necessary for publication, i.a. Instruction for Authors, LaTex Template, Open Access License and more, can be found in the Supplementary Information section available above.

Manuscripts should be submitted to the journal via online submission system Editorial Manager available for this journal at http://www.editorialmanager.com/opencs/. In case of problems, please contact the Editorial Office of this journal via email opencomputerscience@degruyter.com.

Manuscripts can be written in TeX, LaTeX (strongly recommended). Please note that we do not accept papers in Plain TEX format. Text files can be also submitted as standard DOCUMENT (.DOC) which is acceptable if the submission in LATEX is not possible. For an initial submission, the authors are strongly advised to upload their entire manuscript, including tables and figures, as a single PDF file. Authors are strongly advised to submit the final version of the paper using the journal’s LATEX template.
For detailed information, please see Instruction for Authors.

EDITORIAL POLICY
Unpublished material: Submission of a manuscript implies that the work described is not copyrighted, published or submitted elsewhere, except in abstract form. The corresponding author should ensure that all authors approve the manuscript before its submission.
Ethical conduct of research: The authors must describe and confirm safeguards to meet ethical standards when applicable. See Editorial Policy for details.
Conflict of interest: When authors submit a manuscript, they are responsible for recognizing and disclosing financial and/or other conflicts of interest that might bias their work and/or could inappropriately influence his/her judgment. If no specified acknowledgement is given, the Editors assume that no conflict of interest exists. Authors are encouraged to fill in the ICMJE Conflicts of Interest Form (available here) and send it in the electronic format to the Managing Editor.
Copyright: All authors retain copyright, unless – due to their local circumstances – their work is not copyrighted.
The copyrights are governed by the Creative-Commons Attribution Only license (CC-BY) which is compliant with Plan-S. We may also publish a paper under CC-BY-NC-ND license on author's request. The corresponding author grants the journal the license to use of the article, by signing the License to Publish. Scanned copy of license should be sent to the journal, as soon as possible.
Data distribution: We encourage authors to make the data available for the public. We offer a possibility to publish additional files together with the article as Supplementary Materials. Data and other materials can be also stored using one of the repositories such as Open Science Framework (OSF, https://osf.io), preferably selected from those indexed on FAIRsharing.org or re3data.org.
Authorship: Authorship should be limited to those who have made a significant contribution to the conception, design, execution, or interpretation of the reported study. All those who have made significant contributions should be listed as co-authors. Where there are others who have participated in certain substantive aspects of the research project, they should be named in an Acknowledgement section. The corresponding author should ensure that all appropriate co-authors (according to the above definition) and no inappropriate co-authors are included in the author list of the manuscript, and that all co-authors have seen and approved the final version of the paper and have agreed to its submission for publication.
Peer Review process: The Editors reserve the right to decline the submitted manuscript without review, if the studies reported are not sufficiently novel or important to merit publication in the journal. Manuscripts deemed unsuitable (insufficient originality or of limited interest to the target audience) are returned to the author(s) without review. The Editor seeks advice from experts in the appropriate field. Research articles and communications are refereed by a minimum of two reviewers, review papers by at least three. Authors are requested to suggest persons competent to review their manuscript. However, please note that this will be treated only as a suggestion, and the final selection of reviewers is exclusively the Editor's decision. The final decision of acceptance is made by Managing Editor or, in case of conflict, by the Editor-in-Chief.
Scientific Misconduct: This journal publishes only original manuscripts that are not also published or going to be published elsewhere. Multiple submissions/publications, or redundant publications (re-packaging in different words of data already published by the same authors) will be rejected. If they are detected only after publication, the journal reserves the right to publish a Retraction Note. In each particular case Editors will follow COPE’s Core Practices and implement the advices.

Editorial

Editor-in-Chief
Egon L. van den Broek, Department of Information and Computing Sciences, Utrecht University, The Netherlands

Senior Editors
Christos Anagnostopoulos, University of Glasgow, UK
Miguel Correia, Instituto Superior Técnico, Universidade de Lisboa, Portugal
George A. Papadopoulos, University of Cyprus, Cyprus

Managing Editor
Beata Socha
Beata.Socha@degruyter.com

Editorial Advisory Board
Norman C. Beaulieu, University of Alberta, Canada
Erdal Cayirci, University of Stavanger, Norway
Liqun Chen, HP Labs, UK
John M. Cioffi, Stanford University, USA
Sudhir Dixit, HP Labs, India
Marco Dorigo, Université Libre de Bruxelles, Belgium
Alexander Egyed, Johannes Kepler University Linz, Austria
Georgios B. Giannakis, University of Minnesota, USA
Raj Jain, Washington University in St. Louis, USA
P. Vijay Kumar, Indian Institute of Science, India
Der-Tsai Lee, Academia Sinica, Taiwan
Jason Yi-Bing Lin, National Chiao Tung University, Taiwan
Shu Lin, University of California, Davis, USA
Charles E. Perkins, WiChorus Corporation, USA
Mauro Pezze, University of Lugano, Switzerland and University of Milano Bicocca, Italy
Arnold L. Rosenberg, Northeastern University and Colorado State University, USA
Uwe Schöning, University of Ulm, Germany
Jie Wu, Temple University, USA
Ronald R. Yager, Iona College, USA
Philip S. Yu, University of Illinois at Chicago, USA
Jun Zhang, University of Kentucky, USA

Editorial Board
Davide Ancona, University of Genova, Italy
Mehmet E. Aydin, University of the West of England (UWE Bristol), UK
Farshad Badie, Aalborg University, Denmark
Martin Balik, Czech Technical University in Prague, Czech Republic
Ladislav Beránek, University of South Bohemia, Czech Republic
Stephan Chalup, The University of Newcastle, Australia
Felix J. Garcia Clemente, Universidad de Murcia, Spain
Milena Dobreva, University of Malta, Malta
Riccardo Dondi, Universita degli Studi di Bergamo, Italy
Frank Drewes, Umeå University, Sweden
Adérito Fernandes-Marcos, Universidade Aberta, Portugal
João M. Fernandes, University of Minho, Portugal
Hugo Gamboa, NOVA University of Lisbon, Portugal
Angel Garrido, UNED, Spain
Juraj Giertl, Technical University of Kosice, Slovakia
Tomasz Górski, Polish Naval Academy, Poland
Goffredo Maria Haus, Università degli Studi di Milano, Italy
Florentina Hristea, University of Bucharest, Romania
Hans Hüttel, Aalborg University, Denmark
Liangxiao Jiang, China University of Geosciences, China
Jiří Kléma, Czech Technical University, Republic of Czech
Josip Knezović, University of Zagreb, Croatia
Renato De Leone, Universita degli Studi di Camerino, Italy
Flaminia Luccio, Ca'Foscari University of Venice, Italy
Simon Lui, Singapore University of Technology and Design, Singapore
José Machado, University of Minho, Portugal
Francisco Martins, Universidade de Lisboa, Portugal
Imran Memon, Zhejiang University, China
Pedro Merino, Universidad de Málaga, Spain
Massimo Merro, University of Verona, Italy
Hugo Miranda, Universidade de Lisboa, Portugal
Hrvoje Mlinarić, University of Zagreb, Croatia
Ekaterina Muravleva, Skolkovo Institute of Science and Technology, Russia
Roberto Muscia, University of Trieste, Italy
David F. Nettleton, Pompeu Fabra University, Spain
Valerie Novitzká, Technical University of Kosice, Slovakia
Vitalii B. Novoseltsev, Russian Academy of Sciences, Russia
Mitsunori Ogihara, University of Miami, USA
Milos Oravec, Slovak University of Technology, Slovakia
Radek Ošlejšek, Masaryk University, Czech Republic
Francisco J. García-Peñalvo, University of Salamanca, Spain
Mikhail Posypkin, Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Russia
Łukasz Radliński, West Pomeranian University of Technology, Poland
Simona E. Rombo, University of Palermo, Italy
Jorge A. Ruiz-Vanoye, Autonomous Popular University of Puebla State, Mexico
Michael Ruzhansky, Imperial College London, UK
Marek Rychly, Brno University of Technology, Czech Republic
Shaaban Sahmoud, Fatih Sultan Mehmet Vakif University, Istanbul, Turkey
Sukumar Senthilkumar, Universiti Sains Malaysia, Malaysia
Victor Sheng, University of Central Arkansas, USA
Theodore Simos, T.E., King Saud University, Saudi Arabia, Ural Federal University, Russian Federation, TEI of Sterea Hellas, Greece, Democritus University of Thrace, Greece
Radek Silhavy, Tomas Bata University in Zlin, Czech Republic
Jorge Sá Silva, University of Coimbra, Portugal
William Steingartner, Technical University of Kosice, Slovakia
Simon Tjoa, St. Pölten University of Applied Sciences, Austria
Dominika Tkaczyk, Crossref, Ireland
Angelo Trotta, University of Bologna, Italy
Mark van den Brand, Eindhoven University of Technology, The Netherlands
José Valente de Oliveira, Universidade do Algarve, Portugal
Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
Sebastian Ventura, University of Córdoba, Spain
Deepali Virmani, BPIT,GGSIPU, India
Thomas Canhao XU, University of Turku, Finland
Claudio Zandron, Università degli Studi di Milano-Bicocca, Italy
Erliang Zeng, University of Iowa, USA
Karl-Heinz Zimmermann, Hamburg University of Technology, Germany
Julius Žilinskas, Vilnius University, Lithuania
Hiba Zuhair, Al-Nahrain University, Iraq

Associate Editors:
Benyamin Ahmadnia, Tulane University, USA
Tai-Yu Lai, National Taipei University of Technology, Taiwan
Cen Wan, University College London, UK

Assisstant Editors:
Ayush Bhardwaj, University of Edinburgh, UK
Xuehui Hu, King’s College London, UK
Basaran Bahadir Kocer, Nanyang Technological University, Singapore
Namakambo Muyunda, Australia
Areeg Samir, Free University of Bolzano-Bozen, Italy

Language Editors:
Naven Chetty, University of KwaZulu-Natal, South Africa
John Evans, Coventry University, UK
Katerina Hristova, University of East Anglia
Susan Keron, The ōbex project, UK
Cheng Li, University of Kent, UK
Mohamed Marei, Coventry, UK
Isaac Nyabisa Oteyo, Vrije Universiteit Brussel, Belgium
Elochukwu Anthony Ukwandu, Edinburgh Napier University, UK
Cen Wan, University College London, UK
Elizabeth Watt, The ōbex project, UK

Technical Editor:
Justyna Kuczek

Publisher
DE GRUYTER Poland
Bogumiła Zuga 32A Str.
01-811 Warsaw, Poland
T: +48 22 701 50 15

Editorial Contact
Opencomputerscience@degruyter.com

(Deutsch)

Type: Journal
Language: English
Publisher: De Gruyter Open Access
First published: April 16, 2011
Publication Frequency: 1 Issue per Year
Audience: researchers in all subfields of computer science