research paper in computer engineering

• DSpace@MIT Home

MIT Open Access Articles

The MIT Open Access Articles collection consists of scholarly articles written by MIT-affiliated authors that are made available through DSpace@MIT under the MIT Faculty Open Access Policy, or under related publisher agreements. Articles in this collection generally reflect changes made during peer-review.

Version details are supplied for each paper in the collection:

• Original manuscript: author's manuscript prior to formal peer review
• Author's final manuscript: final author's manuscript post peer review, without publisher's formatting or copy editing
• Final published version: final published article, as it appeared in a journal, conference proceedings, or other formally published context (this version appears here only if allowable under publisher's policy)

Some peer-reviewed scholarly articles are available through other DSpace@MIT collections, such as those for departments, labs, and centers.

If you are an MIT community member who wants to deposit an article into the this collection, you will need to log in to do so. If you don't have an account, please contact us.

More information:

• Working with MIT's open access policy
• Submitting a paper under the policy
• FAQ about the policy

Recent Submissions

Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS 

Towards safer heuristics with xplain , the case for decentralized fallback networks .

• IEEE CS Standards
• Career Center
• Subscribe to Newsletter
• IEEE Standards

• For Industry Professionals
• For Students
• Launch a New Career
• Membership FAQ
• Membership FAQs
• Membership Grades
• Special Circumstances
• Discounts & Payments
• Distinguished Contributor Recognition
• Grant Programs
• Find a Local Chapter
• Find a Distinguished Visitor
• About Distinguished Visitors Program
• Find a Speaker on Early Career Topics
• Technical Communities
• Collabratec (Discussion Forum)
• My Subscriptions
• My Referrals
• Computer Magazine
• ComputingEdge Magazine
• Let us help make your event a success. EXPLORE PLANNING SERVICES
• Events Calendar
• Calls for Papers
• Conference Proceedings
• Conference Highlights
• Top 2024 Conferences
• Conference Sponsorship Options
• Conference Planning Services
• Conference Organizer Resources
• Virtual Conference Guide
• Get a Quote
• CPS Dashboard
• CPS Author FAQ
• CPS Organizer FAQ
• Find the latest in advanced computing research. VISIT THE DIGITAL LIBRARY
• Open Access

Tech News Blog

• Author Guidelines
• Reviewer Information
• Guest Editor Information
• Editor Information
• Editor-in-Chief Information
• Volunteer Opportunities
• Video Library
• Member Benefits
• Institutional Library Subscriptions
• Advertising and Sponsorship
• Code of Ethics
• Educational Webinars
• Online Education
• Certifications
• Industry Webinars & Whitepapers
• Research Reports
• Bodies of Knowledge
• CS for Industry Professionals

Resource Library

• Newsletters
• Women in Computing
• Digital Library Access
• Organize a Conference
• Run a Publication
• Become a Distinguished Speaker
• Participate in Standards Activities
• Peer Review Content
• Author Resources
• Publish Open Access
• Society Leadership
• Boards & Committees
• Local Chapters
• Governance Resources
• Conference Publishing Services
• Chapter Resources
• About the Board of Governors
• Board of Governors Members
• Diversity & Inclusion
• Open Volunteer Opportunities
• Award Recipients
• Student Scholarships & Awards
• Nominate an Election Candidate
• Nominate a Colleague
• Corporate Partnerships
• Conference Sponsorships & Exhibits
• Advertising
• Recruitment
• Publications
• Education & Career

Discover IEEE Computer Society Publications

Unlock peer-reviewed research and expert commentary from the world’s trusted resource for computer science and engineering information., peer-reviewed magazines & journals.

We are the home to prestigious publications that deliver insights from the brightest minds in computing. Our digital library has over 930,000+ articles, from a range of topics including award-winning special issues.

• IEEE Open Journal of the Computer Society
• IEEE Transactions on Computers
• IEEE Intelligent Systems
• IEEE Transactions on Pattern Analysis and Machine Intelligence
• IEEE/ACM Transactions on Computational Biology and Bioinformatics
• IEEE Transactions on Emerging Topics in Computing
• IEEE Computer Graphics and Applications
• IEEE MultiMedia
• IEEE Transactions on Visualization and Computer Graphics
• IEEE Computer Architecture Letters
• IEEE Annals of the History of Computing
• IEEE Transactions on Affective Computing
• IT Professional
• IEEE Internet Computing
• IEEE Transactions on Big Data
• IEEE Transactions on Cloud Computing
• IEEE Transactions on Knowledge and Data Engineering
• IEEE Transactions on Services Computing
• IEEE Pervasive Computing
• IEEE Transactions on Mobile Computing
• IEEE Transactions on Parallel and Distributed Systems
• Computing in Science & Engineering
• IEEE Security & Privacy
• IEEE Transactions on Dependable and Secure Computing
• IEEE Transactions on Privacy
• IEEE Software
• IEEE Transactions on Software Engineering
• IEEE Transactions on Sustainable Computing

Open Access Research

Our first Gold Open Access (OA) journal, the IEEE Open Journal of the Computer Society (OJ-CS) and our second, IEEE Transactions on Privacy , are dedicated to publishing high-impact articles on emerging topics and trends in all aspects of computing and privacy, respectfully. Both publications provide a rapid review cycle for authors looking to publish their research and are fully compliant with funder mandates, including Plan S. OJ-CS and TP content are available for free in the IEEE Computer Society Digital Library (CSDL) and the IEEE Xplore ® digital library.

All our publications offer authors the opportunity to publish OA. Learn about hybrid publications.

Influential and Award Winning Publications

Impact factor (IF) measures how often a publication’s articles are cited and indicates its influence within a scientific community. IFs are reported by Clarivate Analytics Journal Citation Reports .

• IEEE Transactions on Pattern Analysis and Machine Intelligence earned a 2023 IF of 20.8— one of the highest of all artificial intelligence journals.
• 12 IEEE CS journals now hold the coveted top impact factor ranking in their respective research areas.
• 2023 APEX Grand Winner - Computer , “Software Engineering for Responsible Al”
• 2022 Mahoney Prize - IEEE Annals of the History of Computing , "Computing Capitalisms"
• Computer , "Technology Predictions"
• IEEE Security & Privacy , "Smart Cities: Requirements for Security, Privacy, and Trust"
• IEEE Software , "The Diversity Crisis in Software Development"

"Being the largest and most comprehensive collection of computer science resources available, the Computer Society Digital Library is a beacon of hope for academic libraries...”

— Manayer Ali Ahmed Naseeb, Director, Ahlia University

Computer Society Digital Library

All our magazines, journals, and conference proceedings can be found in the Computer Society Digital Library (CSDL) and the IEEE Xplore ® digital library. Many universities and institutions already have a subscription. Contact your librarian for details. Individuals can access the CSDL at a discounted rate with IEEE Computer Society Membership .

Student members receive full access to the CSDL at no extra cost

Professional members receive 18 downloads + can add full access using the code CSDLTRACK

Professional members can also subscribe to one or more publications

Thank You to Our Volunteers!

View Volunteering Opportunities

• View Calls for Papers
• Read Author Guidelines
• 8 Things Authors Should Know before Publishing
• Common Writing and Publishing Mistakes
• Publish Safely with Open Access Journals
• IEEE DataPort (Free Subscription for Members)

Peer Review Volunteer Resources

• Reviewer Resources
• Editor Resources
• Guest Editor Resources
• Editor-in-Chief Resources

More News & Research

Computingedge newsletter.

Access insightful content from 12 magazines, all in one FREE monthly subscription available to both members and non-members.

Colloquium Abstracts

Explore a sampling of recently published abstracts from our journals, offered as a complimentary benefit for periodical subscribers.

Read expert commentary and analysis on today’s cutting-edge advances in computer technology in a freely available online format.

Find career guides, technology predictions, and high-level summaries of the latest developments and discoveries in computing.

• Name * First Last
• Country/Region * Country/Region Afghanistan Albania Algeria Andorra Angola Anguilla Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bonaire, Sint Eustatius, Saba Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cabo Verde Cambodia Cameroon Canada Cayman Islands Central African Republic Chad Chile China Colombia Comoros Congo Congo, Democratic Republic of Cook Islands Costa Rica Cote d'Ivoire Croatia Cuba Curacao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Eswatini Ethiopia Falkland Islands (Malvinas) Faroe Islands Fiji Finland France French Guiana French Polynesia Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran, Islamic Republic of Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea (North) Korea, Republic of Kosovo Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macao Madagascar Malawi Malaysia Maldives Mali Malta Martinique Mauritania Mauritius Mayotte Mexico Moldova, Republic of Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island North Macedonia Norway Oman Pakistan Palestine, State of Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Qatar Reunion Romania Russian Federation Rwanda Saint Kitts and Nevis Saint Lucia Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka St. Helena St. Vincent and the Grenadines Sudan Suriname Svalbard and Jan Mayen Sweden Switzerland Syrian Arab Republic Taiwan Tajikistan Tanzania, United Republic of Thailand Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks And Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates United Kingdom Uruguay USA Uzbekistan Vatican City Venezuela Vietnam Virgin Islands (British) Wallis And Futuna Western Sahara Yemen Zambia Zimbabwe
• I agree to the IEEE Privacy Policy .*

Sign up for our newsletter.

EMAIL ADDRESS

IEEE COMPUTER SOCIETY

• Board of Governors
• IEEE Support Center

DIGITAL LIBRARY

• Librarian Resources

COMPUTING RESOURCES

• Courses & Certifications

COMMUNITY RESOURCES

• Conference Organizers
• Communities

BUSINESS SOLUTIONS

• Conference Sponsorships & Exhibits
• Digital Library Institutional Subscriptions
• Accessibility Statement
• IEEE Nondiscrimination Policy
• XML Sitemap

©IEEE — All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.

A not-for-profit organization, the Institute of Electrical and Electronics Engineers (IEEE) is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

•  We're Hiring!
•  Help Center

Computer Engineering

• Most Cited Papers
• Most Downloaded Papers
• Newest Papers
• Last »
• Computer Science Follow Following
• Artificial Intelligence Follow Following
• Software Engineering Follow Following
• Data Mining Follow Following
• Machine Learning Follow Following
• Computer Networks Follow Following
• Engineering Follow Following
• Image Processing Follow Following
• Wireless Sensor Networks Follow Following
• Cloud Computing Follow Following

Enter the email address you signed up with and we'll email you a reset link.

• Academia.edu Journals
•   We're Hiring!
•   Help Center
• Find new research papers in:
• Health Sciences
• Earth Sciences
• Cognitive Science
• Mathematics
• Computer Science
• Academia ©2024

computer science Recently Published Documents

Total documents.

• Latest Documents
• Most Cited Documents
• Contributed Authors
• Related Sources
• Related Keywords

Hiring CS Graduates: What We Learned from Employers

Computer science ( CS ) majors are in high demand and account for a large part of national computer and information technology job market applicants. Employment in this sector is projected to grow 12% between 2018 and 2028, which is faster than the average of all other occupations. Published data are available on traditional non-computer science-specific hiring processes. However, the hiring process for CS majors may be different. It is critical to have up-to-date information on questions such as “what positions are in high demand for CS majors?,” “what is a typical hiring process?,” and “what do employers say they look for when hiring CS graduates?” This article discusses the analysis of a survey of 218 recruiters hiring CS graduates in the United States. We used Atlas.ti to analyze qualitative survey data and report the results on what positions are in the highest demand, the hiring process, and the resume review process. Our study revealed that a software developer was the most common job the recruiters were looking to fill. We found that the hiring process steps for CS graduates are generally aligned with traditional hiring steps, with an additional emphasis on technical and coding tests. Recruiters reported that their hiring choices were based on reviewing resume’s experience, GPA, and projects sections. The results provide insights into the hiring process, decision making, resume analysis, and some discrepancies between current undergraduate CS program outcomes and employers’ expectations.

A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature

Context. Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly enough to perform replications, conduct meta-analyses, and build theories. There is a need to understand whether published research allows the CER community to systematically advance knowledge and build theories. Objectives. The goal of this study is to characterize the reporting of empiricism in Computing Education Research literature by identifying whether publications include content necessary for researchers to perform replications, meta-analyses, and theory building. We answer three research questions related to this goal: (RQ1) What percentage of papers in CER venues have some form of empirical evaluation? (RQ2) Of the papers that have empirical evaluation, what are the characteristics of the empirical evaluation? (RQ3) Of the papers that have empirical evaluation, do they follow norms (both for inclusion and for labeling of information needed for replication, meta-analysis, and, eventually, theory-building) for reporting empirical work? Methods. We conducted a systematic literature review of the 2014 and 2015 proceedings or issues of five CER venues: Technical Symposium on Computer Science Education (SIGCSE TS), International Symposium on Computing Education Research (ICER), Conference on Innovation and Technology in Computer Science Education (ITiCSE), ACM Transactions on Computing Education (TOCE), and Computer Science Education (CSE). We developed and applied the CER Empiricism Assessment Rubric to the 427 papers accepted and published at these venues over 2014 and 2015. Two people evaluated each paper using the Base Rubric for characterizing the paper. An individual person applied the other rubrics to characterize the norms of reporting, as appropriate for the paper type. Any discrepancies or questions were discussed between multiple reviewers to resolve. Results. We found that over 80% of papers accepted across all five venues had some form of empirical evaluation. Quantitative evaluation methods were the most frequently reported. Papers most frequently reported results on interventions around pedagogical techniques, curriculum, community, or tools. There was a split in papers that had some type of comparison between an intervention and some other dataset or baseline. Most papers reported related work, following the expectations for doing so in the SIGCSE and CER community. However, many papers were lacking properly reported research objectives, goals, research questions, or hypotheses; description of participants; study design; data collection; and threats to validity. These results align with prior surveys of the CER literature. Conclusions. CER authors are contributing empirical results to the literature; however, not all norms for reporting are met. We encourage authors to provide clear, labeled details about their work so readers can use the study methodologies and results for replications and meta-analyses. As our community grows, our reporting of CER should mature to help establish computing education theory to support the next generation of computing learners.

Light Diacritic Restoration to Disambiguate Homographs in Modern Arabic Texts

Diacritic restoration (also known as diacritization or vowelization) is the process of inserting the correct diacritical markings into a text. Modern Arabic is typically written without diacritics, e.g., newspapers. This lack of diacritical markings often causes ambiguity, and though natives are adept at resolving, there are times they may fail. Diacritic restoration is a classical problem in computer science. Still, as most of the works tackle the full (heavy) diacritization of text, we, however, are interested in diacritizing the text using a fewer number of diacritics. Studies have shown that a fully diacritized text is visually displeasing and slows down the reading. This article proposes a system to diacritize homographs using the least number of diacritics, thus the name “light.” There is a large class of words that fall under the homograph category, and we will be dealing with the class of words that share the spelling but not the meaning. With fewer diacritics, we do not expect any effect on reading speed, while eye strain is reduced. The system contains morphological analyzer and context similarities. The morphological analyzer is used to generate all word candidates for diacritics. Then, through a statistical approach and context similarities, we resolve the homographs. Experimentally, the system shows very promising results, and our best accuracy is 85.6%.

A genre-based analysis of questions and comments in Q&A sessions after conference paper presentations in computer science

Gender diversity in computer science at a large public r1 research university: reporting on a self-study.

With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25–30% of women students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we explore the gender gap in CS at Rutgers University–New Brunswick, a large public R1 research university, using three data sets that span thousands of students across six academic years. Specifically, we combine these data sets to study the gender gaps in four core CS courses and explore the correlation of several factors with retention and the impact of these factors on changes to the gender gap as students proceed through the CS courses toward completing the CS major. For example, we find that a significant percentage of women students taking the introductory CS1 course for majors do not intend to major in CS, which may be a contributing factor to a large increase in the gender gap immediately after CS1. This finding implies that part of the retention task is attracting these women students to further explore the major. Results from our study include both novel findings and findings that are consistent with known challenges for increasing gender diversity in CS. In both cases, we provide extensive quantitative data in support of the findings.

Designing for Student-Directedness: How K–12 Teachers Utilize Peers to Support Projects

Student-directed projects—projects in which students have individual control over what they create and how to create it—are a promising practice for supporting the development of conceptual understanding and personal interest in K–12 computer science classrooms. In this article, we explore a central (and perhaps counterintuitive) design principle identified by a group of K–12 computer science teachers who support student-directed projects in their classrooms: in order for students to develop their own ideas and determine how to pursue them, students must have opportunities to engage with other students’ work. In this qualitative study, we investigated the instructional practices of 25 K–12 teachers using a series of in-depth, semi-structured interviews to develop understandings of how they used peer work to support student-directed projects in their classrooms. Teachers described supporting their students in navigating three stages of project development: generating ideas, pursuing ideas, and presenting ideas. For each of these three stages, teachers considered multiple factors to encourage engagement with peer work in their classrooms, including the quality and completeness of shared work and the modes of interaction with the work. We discuss how this pedagogical approach offers students new relationships to their own learning, to their peers, and to their teachers and communicates important messages to students about their own competence and agency, potentially contributing to aims within computer science for broadening participation.

Creativity in CS1: A Literature Review

Computer science is a fast-growing field in today’s digitized age, and working in this industry often requires creativity and innovative thought. An issue within computer science education, however, is that large introductory programming courses often involve little opportunity for creative thinking within coursework. The undergraduate introductory programming course (CS1) is notorious for its poor student performance and retention rates across multiple institutions. Integrating opportunities for creative thinking may help combat this issue by adding a personal touch to course content, which could allow beginner CS students to better relate to the abstract world of programming. Research on the role of creativity in computer science education (CSE) is an interesting area with a lot of room for exploration due to the complexity of the phenomenon of creativity as well as the CSE research field being fairly new compared to some other education fields where this topic has been more closely explored. To contribute to this area of research, this article provides a literature review exploring the concept of creativity as relevant to computer science education and CS1 in particular. Based on the review of the literature, we conclude creativity is an essential component to computer science, and the type of creativity that computer science requires is in fact, a teachable skill through the use of various tools and strategies. These strategies include the integration of open-ended assignments, large collaborative projects, learning by teaching, multimedia projects, small creative computational exercises, game development projects, digitally produced art, robotics, digital story-telling, music manipulation, and project-based learning. Research on each of these strategies and their effects on student experiences within CS1 is discussed in this review. Last, six main components of creativity-enhancing activities are identified based on the studies about incorporating creativity into CS1. These components are as follows: Collaboration, Relevance, Autonomy, Ownership, Hands-On Learning, and Visual Feedback. The purpose of this article is to contribute to computer science educators’ understanding of how creativity is best understood in the context of computer science education and explore practical applications of creativity theory in CS1 classrooms. This is an important collection of information for restructuring aspects of future introductory programming courses in creative, innovative ways that benefit student learning.

CATS: Customizable Abstractive Topic-based Summarization

Neural sequence-to-sequence models are the state-of-the-art approach used in abstractive summarization of textual documents, useful for producing condensed versions of source text narratives without being restricted to using only words from the original text. Despite the advances in abstractive summarization, custom generation of summaries (e.g., towards a user’s preference) remains unexplored. In this article, we present CATS, an abstractive neural summarization model that summarizes content in a sequence-to-sequence fashion while also introducing a new mechanism to control the underlying latent topic distribution of the produced summaries. We empirically illustrate the efficacy of our model in producing customized summaries and present findings that facilitate the design of such systems. We use the well-known CNN/DailyMail dataset to evaluate our model. Furthermore, we present a transfer-learning method and demonstrate the effectiveness of our approach in a low resource setting, i.e., abstractive summarization of meetings minutes, where combining the main available meetings’ transcripts datasets, AMI and International Computer Science Institute(ICSI) , results in merely a few hundred training documents.

Exploring students’ and lecturers’ views on collaboration and cooperation in computer science courses - a qualitative analysis

Factors affecting student educational choices regarding oer material in computer science, export citation format, share document.

Engineering with Computers

An International Journal for Simulation-Based Engineering

• Focuses on the development of new computing methods, algorithms, and workflows.
• Addresses significant computational challenges in engineering.
• Emphasizes technologies that support a wide range of engineering applications.
• Invites submissions of novel, cutting-edge research and algorithm-based software development.

This is a transformative journal , you may have access to funding.

• Jessica Zhang

Call for papers

By invitation only: recent advances in meshfree and particle methods.

*By invitation only* Meshfree and particle methods have emerged as a new class of numerical methods that play an increasingly significant role in...

Latest issue

Special Issue: Isogeometric Analysis

Latest articles

A physics preserving neural network based approach for constitutive modeling of isotropic fibrous materials.

• Nishan Parvez
• Jacob Merson

Asynchronous parallel reinforcement learning for optimizing propulsive performance in fin ray control

• Xin-Yang Liu
• Dariush Bodaghi
• Jian-Xun Wang

Study of steady two-dimensional advection–diffusion equation with stratification using second-kind shifted Chebyshev polynomials

• Koeli Ghoshal

Integrating analytical and machine learning methods for investigating nonlinear bending and post-buckling behavior of 3D-printed auxetic tubes

• Fatemeh Ghasemi
• Erfan Salari

A new calibration approach of kinetic theory of fracture for fatigue life prediction in a peridynamic/finite element framework

• Filip Jerenec
• Yanan Zhang
• Erdogan Madenci

Journal updates

2023 impact factor.

The 2023 Impact Factor for Engineering with Computers will be released in Fall of 2024

Notice: Supplementary Issues

Engineering with Computers  accumulated a long list of online first articles over the years. To accommodate these backlogs, six regular issues and five supplementary issues were published in Volume 38 during 2022, with about 50 articles in each issue. These supplementary issues, therefore, represent a continuation of the regular issues.

COVID-19 and impact on peer review

As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

Journal information

• ACM Digital Library
• Current Contents/Engineering, Computing and Technology
• EI Compendex
• Google Scholar
• Japanese Science and Technology Agency (JST)
• OCLC WorldCat Discovery Service
• Science Citation Index Expanded (SCIE)
• TD Net Discovery Service
• UGC-CARE List (India)

Rights and permissions

Editorial policies

© Springer-Verlag London Ltd., part of Springer Nature

• Find a journal
• Publish with us
• Track your research

Search form

Review of computer engineering studies.

• ISSN:  2369-0755 (print); 2369-0763 (online)
• Indexing & Archiving:  EBSCOhost Cabell's Directory Publons ScienceOpen Google Scholar Index Copernicus CrossRef Portico Microsoft Academic CNKI Scholar Baidu Scholar
• Subject:  Computer Sciences Engineering

Review of Computer Engineering Studies (RCES) is an international, scholarly and peer-reviewed journal dedicated to providing scientists, engineers and technicians with the latest developments on computer science. The journal offers a window into the most recent discoveries in four categories, namely, computing (computing theory, scientific computing, cloud computing, high-performance computing, numerical and symbolic computing), system (database systems, real-time systems, operating systems, warning systems, decision support systems, information processes and systems, systems integration), intelligence (robotics, bio-informatics, web intelligence, artificial intelligence), and application (security, networking, software engineering, pattern recognition, e-science and e-commerce, signal and image processing, control theory and applications). The editorial board welcomes original, substantiated papers on the above topics, which could provoke new science interest and benefit those devoted to computer science. The journal is published quarterly by the IIETA.

The RCES is an open access journal. All contents are available for free, that is, users are entitled to read, download, duplicate, distribute, print, search or link to the full texts of the articles in this journal without prior consent from the publisher or the author.

Focus and Scope

The RCES welcomes original research papers, technical notes and review articles on the following disciplines:

• Computing theory
• Scientific computing
• Cloud computing
• High-performance computing
• Numerical and symbolic computing
• Database systems
• Real-time systems
• Operating systems
• Warning systems
• Decision support systems
• Information processes and systems
• Systems integration
• Bio-informatics
• Web intelligence
• Artificial intelligence
• Software engineering
• Pattern recognition
• E-science and e-commerce
• Signal and image processing
• Control theory and applications

Publication Frequency

The RCES is published quarterly by the IIETA, with four regular issues (excluding special issues) and one volume per year.

Peer Review Statement

The IIETA adopts a double blind review process. Once submitted, a paper dealing with suitable topics will be sent to the editor-in-chief or managing editor, and then be reviewed by at least two experts in the relevant field. The reviewers are either members of our editorial board or special external experts invited by the journal. In light of the reviewers’ comments, the editor-in-chief or managing editor will make the final decision over the publication, and return the decision to the author.

There are four possible decisions concerning the paper: acceptance, minor revision, major revision and rejection. Acceptances means the paper will be published directly without any revision. Minor revision means the author should make minor changes to the manuscript according to reviewers’ comments and submit the revised version to the IIETA. The revised version will be accepted or rejected at the discretion of the editor-in-chief or managing editor. Major revision means the author should modify the manuscript significantly according to reviewers’ comments and submit the revised version to the IIETA. The revised version will be accepted or rejected at the discretion of the editor-in-chief or managing editor. Rejection means the submitted paper will not be published.

If a paper is accepted, the editor-in-chief or managing editor will send an acceptance letter to the author, and ask the author to prepare the paper in MS Word using the  template  of IIETA. 

Plagiarism Policy

Plagiarism is committed when one author uses another work without permission, credit, or acknowledgment. Plagiarism takes different forms, from literal copying to paraphrasing the work of another. The IIETA uses CrossRef to screen for unoriginal material. Authors submitting to an IIETA journal should be aware that their paper may be submitted to CrossRef at any point during the peer-review or production process. Any allegations of plagiarism made to a journal will be investigated by the editor-in-chief or managing editor. If the allegations appear to be founded, we will request all named authors of the paper to give an explanation of the overlapping material. If the explanation is not satisfactory, we will reject the submission, and may also reject future submissions.

For instructions on citing any of IIETA’s journals as well as our  Ethics Statement , see  Policies and Standards .

Indexing Information

Web:  https://www.portico.org/

•  Index Copernicus 

Web:  http://journals.indexcopernicus.com

•  Google Scholar 

Web:  http://scholar.google.com

•  CNKI Scholar 

Web:  http://scholar.cnki.net

Included in

•  Crossref.org 

Web:  https://www.crossref.org/

ISSN: 2369-0755 (print); 2369-0763 (online)

For Submission Inquiry

Email: [email protected]

• Just Published
• Featured Articles
• Most Read and Cited
• Winters’ Multiplicative Model Based Analysis of the Development and Prospects of New Energy Electric Vehicles in China Zhishuo Jin, Yubing Qian
• Agent-based Analysis and Simulation of Online Shopping Behavior in the Context of Online Promotion Xiaoyi Deng
• Study of Two Kinds of Analysis Methods of Intrusion Tolerance System State Transition Model Zhiyong Luo, Xu Yang, Guanglu Sun, Zhiqiang Xie
• A Review on Automated Billing for Smart Shopping System Using IOT Priyanka S. Sahare, Anup Gade, Jayant Rohankar
• A Review on Automated Billing for Smart Shopping System Using IOT Priyanka S. Sahare, Anup Gade, Jayant Rohank
• Algorithm Research on the Analysis of College Student Score Jinxin Ma, Limin Cui

Phone: + 1 825 436 9306

Email: [email protected]

Subscription

Language support

Please sign up to receive notifications on new issues and newsletters from IIETA

Select Journal/Journals:

Copyright © 2024 IIETA. All Rights Reserved.