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Lecture Notes in Information Science and Technology

(LNIST, ISSN 2304-9944)

 

Lecture Notes in Information Science and Technology (LNIST, ISSN 2304-9944) is a scholarly peer-reviewed international scientific journal published 3 times a year, focusing on theories, methods, and applications in Information Science and Technology. It provides a high profile, leading edge forum for academic researchers, industrial professionals, engineers, consultants, managers, educators and policy makers working in the field to contribute and disseminate innovative new work in Information Science and Technology.

LNIST reflects the multidisciplinary nature of Information Science and Technology. It is committed to the timely publication of high-quality papers that advance the state-of-the-art and practical applications in the filed of Information Science and Technology. Both theoretical research contributions (presenting new techniques, concepts, or analyses) and applied contributions (reporting on experiences and experiments with actual systems) and tutorial expositions of permanent reference value are published.


Editor-in-Chief

Dr. Kenji Suzuki
Radiology, Medical Physics, and Comprehensive Cancer Center
Department of Radiology, Division of the Biological Sciences
The University of Chicago, USA
Email: suzuki@uchicago.edu

Associate Editor-in-Chief

Dr. Eng. Tohru Kawabe
Faculty of Engineering, Information and Systems
Department of Computer Science, University of Tsukuba, Japan
Email: kawabe@cs.tsukuba.ac.jp

Dr. Valentina Emilia Balas
Faculty of Engineering
Department of Automation and Applied Informatics
Aurel Vlaicu University of Arad, Romania
Email: balas@drbalas.ro

Dr. Yasushi Kambayashi
Department of Computer and Information Engineering
Nippon Institute of Technology, Japan
Email: yasushi@nit.ac.jp

Area of Interests

Topic 1: Soft Computing
Topic 2: Human-Computer Interaction
Topic 3: Information Assurance and Security
Topic 4: Information Systems
Topic 5: Networking
Topic 6: e-Business and m-Business
Topic 7: Web Systems and Technologies
Topic 8: Business and Information System
Topic 9: Biomedical Imaging and Systems
Topic 10: Machine Learning
Topic 11: Intelligent Transportation and Vehicle Systems

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