Number of Volumes | 7 |
Number of Issues | 14 |
Number of Articles | 76 |
Number of Contributors | 191 |
Article View | 46,562 |
PDF Download | 33,517 |
View Per Article | 612.66 |
PDF Download Per Article | 441.01 |
Number of Submissions | 280 |
Rejected Submissions | 162 |
Reject Rate | 58 |
Accepted Submissions | 77 |
Acceptance Rate | 28 |
Time to Accept (Days) | 242 |
Number of Indexing Databases | 7 |
Number of Reviewers | 471 |
The Journal of Computer and Knowledge Engineering is founded by the Department of Computer Engineering, Ferdowsi University of Mashhad. The journal materials are available both online and in printed form. The manuscripts should not be published before nor be under review by any other journals. The authors are welcome to upload their articles in either PDF or doc file format using the journal’s website. Accepted papers will be formatted by the governing body of the journal to comply with its standards. All submitted papers are double-blind peer-reviewed by at least two different reviewers. The journal is very vigilant against any kind of plagiarism and all papers will be checked to make sure all aspects of intellectual property rights are respected. Until the Journals own guidelines on this subject is developed it will use “ACM Policy and Procedures on Plagiarism” policies. This Journal is a member of the International Committee on Publication Ethics (COPE) and follows the executive regulations of the law on preventing and dealing with fraud in scientific works.
All published articles are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Under this license, users are free to share, copy, and redistribute papers in any medium or format. They can also adapt, remix, transform, and build upon papers for any purpose, even commercially. It is worth mentioning that the full text of all content is available for free and open access immediately on the journal’s website.
Last site Update: 5 April 2024
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Dear Colleagues,
I would like to invite you to submit your valuable research to the Deep Learning and Optimization for Smart Grid Management as a Special Issue of the Journal of Computer and Knowledge Engineering (CKE).
Please accept our apologies if you receive multiple versions of this call through different channels. The details are as follows... more
Pages 1-16
Taghi Shahgholi; Keyhan Khamforoosh; Amir Sheikhahmadi; Sadoon Azizi
Pages 17-26
zahra asgari varzaneh; soodeh hosseini
Pages 27-42
Aref Talebzadeh Bardsiri; Abbas Rasoolzadegan
Pages 43-50
Havva Alizadeh Noughabi; Behshid Behkamal; Mohsen Kahani
Pages 51-64
Avaz Naghipour; Mohammad Reza Abbaszadeh Bavil Soflaei; mostafa ghader-zefrehei
Pages 65-74
Peyman Vafadoost Sabzevar; Hamidreza Rokhsati; Alireza Chamansara; Ahmad Hajipour