International Journal of Intelligent Systems Technologies and Applications
- Editor in Chief
- Prof. Tao Wu
- ISSN online
- ISSN print
- 6 issues per year
- CiteScore 0.9 (2019)
Intelligent systems refer broadly to computer embedded or controlled systems, machines and devices that possess a certain degree of intelligence. IJISTA, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems. Its coverage also includes papers on intelligent systems applications in areas such as manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc.
Topics covered include
- Robotics and mechatronics technologies
- Artificial intelligence and knowledge based systems technologies
- Real-time computing and its algorithms
- Embedded systems technologies
- Actuators and sensors
- Mico/nano technologies
- Sensing and multiple sensor fusion
- Machine vision, image processing, pattern recognition and speech recognition and synthesis
- Motion/force sensing and control
- Intelligent product design, configuration and evaluation
- Real time learning and machine behaviours
- Fault detection, fault analysis and diagnostics
- Digital communications and mobile computing
- CAD and object oriented simulations
IJISTA aims at providing an international framework for researchers working from perspectives of different technical disciplines to discuss technological and scientific problems related to the design, development and applications of intelligent devices, machines and systems.
IJISTA helps academics, researchers, engineers and technologists, working in the broad areas of intelligent systems design and development related technologies including robotics, mechatronics, artificial intelligence, computer engineering, electronics, advanced computing and modelling, as well as their applications in manufacturing, bioengineering, agriculture, horticulture, space and medical fields, to disseminate information and to learn from each other|s work.
IJISTA publishes peer-reviewed, original papers and state-of-the-art review papers which cover new developments, innovations and future trends in the field, as well as new methodologies, techniques and case studies. Technical notes, briefs and reports are also published to discuss new technical concepts and developments, new applications of existing techniques. Special Issues devoted to important topics in the broad context of intelligent systems will occasionally be published.
IJISTA is indexed in:
- Scopus (Elsevier)
- Compendex [formerly Ei] (Elsevier)
- Academic OneFile (Gale)
- ACM Digital Library
- cnpLINKer (CNPIEC)
- DBLP Computer Science Bibliography
- Expanded Academic ASAP (Gale)
- Business Collection (Gale)
- General OneFile (Gale)
- Google Scholar
- Info Trac (Gale)
- Inspec (Institution of Engineering and Technology)
- io-port (FIZ Karlsruhe)
- Pascal (INIST-CNRS)
- ProQuest Advanced Technologies Database with Aerospace
IJISTA is listed in:More journal lists/directories...
Editor in Chief
- Wu, Tao, Shanghai Jiao Tong University School of Medicine, China
- Diegel, Olaf, Lund University, Sweden
- Balamurugan, S., Intelligent Research Consultancy Services (iRCS), India
- Hasan, Syed Faraz, Massey University, New Zealand
- Kuang, Ye Chow, University of Waikato and Monash University, New Zealand
- Marozzo, Fabrizio, University of Calabria, Italy
- Nguyen, Minh, Auckland University of Technology, New Zealand
- Patra, Jagdish, Swinburne University of Technology, Australia
- Qin, Suntao, Zhejiang University of Finance and Economics, China
Editorial Board Members
- Akkurt, ?skender, Suleyman Demirel University, Turkey
- Al Azawi, Mohammad, De Montfort University, UK
- Boongoen, Tossapon, Royal Thai Air Force Academy, Thailand
- Bright, Glen, University of Natal, South Africa
- Chen, Shyi-Ming, National Taiwan University of Science and Technology, Taiwan
- Choi, Seung-Bok, Inha University, South Korea
- Demidenko, Serge N., Massey University, New Zealand
- Domingues, Inês, Universidade de Coimbra, Portugal
- Fang, Clara, University of Hartford, USA
- Fedrowitz, Christian H., KUKA Schweissanlagen GmbH, Germany
- Ge, Shuzhi Sam, The National University of Singapore, Singapore
- Gupta, Madan M., University of Saskatchewan, Canada
- Hou, Zeng Guang, Chinese Academy of Sciences, China
- Khalil, Wisama, IRCCyN (Institut de Recherche en Communication et Cybernetique de Nantes), France
- Kuhnert, Klaus-Dieter, Universität Siegen, Germany
- Su, Chun Yi, Concordia University, Canada
- Yuan, Yong J., Southwest Jiaotong University, 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.
13 May, 2020
People can usually make a good guess at a person's age by looking at their face and assessing the smoothness or otherwise of their skin, the general condition of the skin, jowls, and other features. Face recognition software, on the other hand, can recognise a face with varying degrees of success based on the training data used by estimating age has not yet become a trivial computational matter. Part of the problem is that faces change from moment to moment as we show our emotions through laughter, frowns, sadness, disgust, and other facial expressions. Now, a team from India, writing in the International Journal of Intelligent Systems Technologies and Applications, describes a new approach to age estimation that fuses local and global features in an image of a person's face to look through the facial expression to estimate a person's age [...]More details...