International Journal of Computer Applications in Technology
- Editor in Chief
- Dr. M.A. Dorgham
- ISSN online
- ISSN print
- 12 issues per year
- Impact factor (Clarivate Analytics) 2023 1.1 (5 Year Impact Factor 0.9)
- CiteScore 2.6 (2022)
IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.
Topics covered include
- Computer applications in engineering and technology
- Computer control system design
- CAD/CAM, CAE, CIM and robotics
- Computer applications in knowledge-based and expert systems
- Computer applications in information technology and communication
- Computer-integrated material processing (CIMP)
- Computer-aided learning (CAL)
- Computer modelling and simulation
- Synthetic approach for engineering
- Man-machine interface
- Software engineering and management
- Management techniques and methods
- Human computer interaction
- Real-time systems
The objective of IJCAT is to help professionals working in the field, educators and policy makers to contribute, to disseminate information and to learn from each other|s work. IJCAT also aims at establishing channels of communication between Centres of Excellence for computer applications, computer manufacturers, software developers and users worldwide. IJCAT is the official publication of the International Network of Centres for Computer Applications (INCCA).
Professionals, academics, researchers, and managers.
IJCAT is a refereed, international journal, published quarterly, providing an international forum and an authoritative source of information in the field of Computer Applications and related Information Technology.
IJCAT is indexed in:
- Scopus (Elsevier)
- Compendex [formerly Ei] (Elsevier)
- Web of Science: Emerging Sources Citation Index (Clarivate Analytics)
- Academic OneFile (Gale)
- ACM Digital Library
- Applied Science and Technology Index
- Business Source Premier (EBSCO)
- cnpLINKer (CNPIEC)
- Computer Database (Gale)
- Computer Science Index (EBSCO)
- DBLP Computer Science Bibliography
- Ergonomics Abstracts - Ergo-Abs
- Expanded Academic ASAP (Gale)
- OneFile Business (Gale)
- General OneFile (Gale)
- Google Scholar
- Info Trac (Gale)
- Inspec (Institution of Engineering and Technology)
- Pascal (INIST-CNRS)
- ProQuest Advanced Technologies Database with Aerospace
- ProQuest ABI/Inform Collection
- Technology and Management [TEMA] (WTi Frankfurt)
- ProQuest Technology Collection
IJCAT is listed in:More journal lists/directories...
Editor in Chief
- Dorgham, M.A., International Centre for Technology and Management, UK
- Adeli, Hojjat, Ohio State University, USA
- Ali, Moonis, Texas State University, USA
- Baghdadi, Youcef, Sultan Qaboos University, Oman
- Baragetti, Sergio, Università degli Studi di Bergamo, Italy
- Bathe, K.J., Massachusetts Institute ofTechnology, USA
- Brady, Michael, University of Oxford, UK
- Chan, Felix T.S., Macau University of Science and Technology, Macao
- Das Gupta, Aaron, US Army Ballistic Research Laboratory, USA
- Doumeingts, Guy, University Bordeaux 1, France
- Kobayashi, Toshiro, Toyohashi University of Technology, Japan
- Onate, E., Universitat Politecnica de Catalunya, Spain
- Poloujadoff, M., Universite De Paris VI et XI, France
- Schrefler, B.A., University of Padua, Italy
- Suh, Nam Pyo, Korea Advanced Institute of Science and Technology (KAIST), South Korea
Editorial Board Members
- Azar, Ahmad Taher, Prince Sultan University, Kingdom of Saudi Arabia and Benha University, Egypt
- Bennour, Akram, University of Tebessa, Algeria
- Cui, Zhihua, Taiyuan University of Science and Technology, China
- Deng, Mingcong, Tokyo University of Agriculture and Technology, Japan
- Figueiredo, João M. G., University of Évora, Portugal
- Frantz, Rafael Z., Unijuí University, Brazil
- Gao, Kai, Hebei University of Science and Technology, China
- Ghauri, Sabir, University of the West of England, UK
- Jing, Weipeng, Northeast Forestry University, China
- Li, Long-yuan, University of Plymouth, UK
- Liu, Li, University of Science and Technology Beijing, China
- Manogaran, Gunasekaran, University of California, USA
- Mencagli, Gabriele, University of Pisa, Italy
- Meng, Lin, Ritsumeikan University, Japan
- Parthasarathy, Velusamy, Karpagam Academy of Higher Education, India
- Pawelczyk, Marek, Silesian University of Technology, Poland
- Shark, Lik-Kwan, University of Central Lancashire, UK
- Vaidyanathan, Sundarapandian, Vel Tech University, India
- Wang, Ruili, Massey University, New Zealand
- Wu, Defeng, Jimei University, China
- Xu, Xinli, Qingdao University of Technology, China
- Yue, Yong, Xi'an Jiaotong-Liverpool University, China
- Zhu, Peiyi, Changshu Institute of Technology, China
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There are no charges for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.
- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Hybrid approach recognises human activity
18 September, 2023
Research in the International Journal of Computer Applications in Technology introduces a hybrid classification algorithm aimed at improving the recognition of human activities using smartphone data. The work could have implications for various fields, including healthcare and personal support. Ahmad Taher Azar of both the Prince Sultan University in Riyadh, Saudi Arabia and Benha University in Benha, Egypt, hoped to demonstrate a tool for accurately categorizing six distinct human activities: lying, sitting, standing, walking, walking upstairs, and walking downstairs. He used supervised machine learning techniques that merged Random Forest Decision Trees (RFDT) and Neural Networks (NN) to this end [...]More details...