posted by user: venkat123 || 2322 views || tracked by 1 users: [display]

ICASMT 2020 : International Conference on Applied Science, Management & Technology | SCOPUS, Elsevier

FacebookTwitterLinkedInGoogle

Link: https://iiarp.org/conferences/ICASMT-Bangkok-09-Feb-2020/518
 
When Feb 9, 2020 - Feb 9, 2020
Where BANGKOK,THAILAND
Abstract Registration Due Jan 27, 2020
Submission Deadline Jan 15, 2020
Notification Due Jan 22, 2020
Final Version Due Feb 3, 2020
Categories    applied science   technology   management   data analysis
 

Call For Papers

International Conference on Applied Science, Management & Technology (ICASMT) provides a leading forum to discuss the issues of Applied Science, Management & Technology research and practice emerging trends. We invite scholars / scientists / mathematicians / lawyers / researchers / practitioners / students to join us and share the new innovative trends in their field. This common platform is expected to bring the bases for joint venture among different fields to serve the society in a better way.

Related Resources

ICMEAAE 2026   2026 5th International Conference on Materials Engineering and Applied Mechanics
EI/Scopus-PCDI 2026   2026 International Conference on Perception, Control and Decision Intelligence-EI/Scopus
Truth & Science Wars 2025   Truth Politics between Science and Society. Political Epistemologies of the 1990s Science Wars
CONEDU 2026   6th International Conference of Education
AIChE Spring Meeting & GCPS 2026   2026 AIChE Spring Meeting & 22nd Global Congress on Process Safety
Cyber Science 2026   International Conference on Cybersecurity, Situational Awareness and Social Media
IJCTCM 2026   International Journal of Control Theory and Computer Modelling
IEEE-ETEP 2025   2025 2nd International Conference on Energy Technology and Electrical Power-IEEE Xplore/EI/Scopus
SI - AI&Cyber - Applied Sciences (MDPI) 2025   Special Issue on Artificial Intelligence and Cybersecurity: Challenges and Opportunities
Applied System Innovation 2026   Special Issue: AI-Driven Computational Methods for Social Media Analysis