The Journal of Artificial Intelligence and Data Science (JAIDA) is an international, scientific, peer-reviewed, and open-access e-journal. It is published twice a year and accepts only manuscripts written in English. The aim of JAIDA is to bring together interdisciplinary research in the fields of artificial intelligence and data science. Both fundamental and applied research are welcome. Besides regular papers, this journal also accepts research field review articles.
The following types of papers are welcome: (i) Research articles; (ii) Review articles; and (iii) Letters to the editor.
Main topics of interest include (but are not limited to):
Intelligent Agents
Intelligent Information Systems
Decision Support Systems
Expert Systems
Fuzzy Systems
Robotics
Big Data
Computer Vision
Pattern Recognition
Augmented Reality
Virtual Reality
Internet of Things
Bioinformatic
Data Mining
Supervised Learning
Unsupervised Learning
Reinforcement learning
Ensemble Learning
Deep Learning
Natural Language Processing
Constraint Satisfaction Problems
Global Optimization
Combinatorial Optimization
Evolutionary Computation
Metaheuristics
Please read carefully and use the template file for preparing your papers.
Please manually fill out the entire copyright form. You can upload the scanned file at your submission.
Please manually fill out the declaration of interest form. You can upload the scanned file at your submission.
The abstract should be short and at most 250 words. The format is a single column using 11 pt Times New Roman font, and justified.
Articles should not exceed 15 pages and should include following (or similar) sections: (i) Abstract, (ii) Introduction, (iii) Methodology, (iv) Results, (v) Conclusions, (vi) Declaration of Interest, (vii) Acknowledgements (if necessary), (viii) Author Contributions, (ix) References, (x) Appendix (if necessary).
The paper dimension should be A4. The following margins are used in the paper layout: Top: 2.5 cm; Left: 2 cm; Bottom: 2 cm; Right: 1.5 cm.
The format is single column. The text should be prepared in Times New Roman typeface, 11 pt, and justified. The first line of each paragraph should have 0.5 cm indentation.
For special parts of the paper the following text style should be used:
• Paper title: Times New Roman, 14 pt, bold, aligned centered, first character of each word is capitalized.
• Header 1: Times New Roman, 11 pt, bold, aligned left, first character of each word is capitalized, numbered (1, 2, …).
• Header 2: Times New Roman, 11 pt, bold, aligned left, only the first character of the first word is capitalized, numbered (1.1, 1.2, …).
• Header 3: Times New Roman, 11 pt, underlined, italic, aligned left, only the first character of the first word is capitalized, numbered (1.1.1, 1.1.2, …).
• Before each header add 12 pt, and after each header add 6 pt spacing.
• For sections such as Acknowledgements, References, and Appendix use the header 1 style without numbering.
All tables and figures must be of high quality, readable and good use of page layout. Tables, figures, and their captions are centered. Font size of table and figure captions should be 10 pt. Table contents should also be centered and the font size should be 8 or 9. Table and figure labels should be bold.
Equations are centered with center tab. Equation number is given in parenthesis. Justify all equation numbers using a right tab; do not use left tabs, spaces, or tables. You can refer to specific equations using the abbreviation “Eq. (1)”, “Eqs. (2), (4) and (5)” and “Eqs. (2)-(5)”.
For citation and references please follow the IEEE Citation and Reference Style. Some examples are journal article [1], book [2], technical report [3], paper published in conference proceedings [4], general web site [5], and software [6].
References
[1] K. A. Nelson, R. J. Davis, D. R. Lutz, and W. Smith, “Optical generation of tunable ultrasonic waves,” Journal of Applied Physics, vol. 53, no. 2, Feb., pp. 1144-1149, 2002.
[2] W. K. Chen, Linear Networks and Systems. Belmont, CA: WadsworthPress, 2003.
[3] K. E. Elliott and C. M. Greene, “A local adaptive protocol,” Argonne National Laboratory, Argonne, France, Tech. Report. 916-1010-BB, 7 Apr. 2007.
[4] J. Smith, R. Jones, and K. Trello, “Adaptive filtering in data communications with self improved error reference,” In Proc. IEEE International Conference on Wireless Communications ’04, 2004, pp. 65-68.
[5] J. Geralds, “Sega Ends Production of Dreamcast,” vnunet.com, para. 2, Jan. 31, 2007. [Online]. Available: http://nli.vnunet.com/news/1116995. [Accessed Sept. 12, 2007].
[6] Thomson ISI, Endnote 7. [CD-ROM]. Berkeley, CA: ISI ResearchSoft, 2006.
The Journal of Artificial Intelligence and Data Science (JAIDA) is committed to upholding the highest standards of publication ethics and takes all possible measures against any publication malpractices. Papers are accepted for evaluation only if they have not been published, they are not being considered for publication simultaneously elsewhere, and they are not going to be submitted for publication elsewhere.
JAIDA is committed to maintain the highest academic and ethical standards in line with the principles of the Committee of Publication Ethics (COPE), Council of Science Editors (CSE), and International Committee of Medical Journal Editors (ICMJE).
Paper submission/processing is free of charge.
İzmir Kâtip Çelebi Üniversitesi İlahiyat Fakültesi Fakültesi Tefsir Ana Bilim Dalında öğretim üyesidir.
Doç. Dr. Sehran Dilmaç, Atatürk Üniversitesi Kazım Karabekir Eğitim Fakültesi Resim-İş Öğretmenliği Bölümünde (2003) ve Anadolu Üniversitesi İktisat Fakültesi Siyaset Bilimi ve Kamu Yönetimi Bölümünde (2012) lisans eğitimlerini; Atatürk Üniversitesi Eğitim Bilimleri Enstitüsü Resim-İş Eğitimi Bölümünde yüksek lisans eğitimini (2012); Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Felsefe Tarihi Bölümünde doktora eğitimini (2017); Gazi Üniversitesi Güzel Sanatlar Enstitüsü Bileşik Sanatlar Anasanat Dalında Sanatta Yeterlik (2018) eğitimlerini tamamladı. Dilmaç, İzmir Katip Çelebi Üniversitesi Sanat ve Tasarım Fakültesi Temel Sanat Eğitimi Bölümüne 2019 yılında Doktor Öğretim Üyesi olarak atandı ve 2021 yılında İzmir Katip Çelebi Üniversitesi Sanat ve Tasarım Fakültesi Temel Sanat Eğitimi Bölümünde Doçent oldu. Hâlen aynı üniversitede görev yapan Doç. Dr. Sehran Dilmaç'ın ulusal ve uluslararası dizinlerde taranan dergilerde yayımlanmış çok sayıda makalesi mevcuttur. Doç. Dr. Sehran Dilmaç'ın araştırma alanları arasında güzel sanatlar eğitimi, sanat ve edebiyat yer almaktadır.
Dr. Merih Palandoken completed M.S. degree study in Microelectronics and Microsystems Engineering at Technical University of Hamburg, Hamburg, Germany, in 2005 under DAAD scholarship and Ph.D. degree in Theoretical Electrical Engineering at Technical University of Berlin, Germany in 2012. He is currently working in the department of Electrical and Electronics Engineering at Izmir Katip Celebi University. His research interests are analytical/numerical design and modeling of active/passive wireless components in the micro/millimeter wave frequencies especially in the field of RF energy harvesting systems, compact microwave absorbers, machine learning based smart RF component and IoT compatible sensor design, microwave probe design, electrically small bioimplantable antennas and RFID systems. He is working as the vice head of Artificial Intelligence and Data Science Research and Application Center at Izmir Katip Celebi University.
Dr. Göknur Giner, 2013 yılında İzmir Ekonomi Üniversitesi'nde Uygulamalı Matematik ve İstatistik alanında doktora derecesini aldı. 2014 yılında Avustralya Melbourne'de WEHI'de (Walter and Eliza Hall Institute) Smyth Lab'a postdoktoral araştırmacı olarak katıldı ve RNA-Seq teknolojilerini kullanarak hastaların kanser alt tiplerini sınıflandırma ve önemli genetik pathwayleri belirleme üzerine yeni araçlar geliştirdi. Şu anda WEHI Biyoinformatik Bölümü'nde Papenfuss Lab'de kıdemli araştırmacı olarak görev yapmaktadır. Çalışmaları, çeşitli CRISPR teknolojilerinden elde edilen sgRNA verilerini modellemek ve kanserin ilerlemesine neden olan kritik genleri ve terapiye dirençli genleri daha iyi anlamak üzerine yoğunlaşmaktadır. CRISPR verilerinin analizi ve gen düzenleme teknolojilerinin kanser araştırmalarına entegre edilmesi konularında uzmandır. Dr. Giner’in çalışmaları CASS Vakfı tarafından desteklenmektedir ve bu destekle geliştirdiği CuReSPR yazılımı, kanser biyolojisi ve kişiselleştirilmiş tedavi alanındaki araştırmalarda kullanılmaktadır.