2014 International Conference On Artificial Intelligence And Software Engineering Aise2014

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2014 International Conference on Artificial Intelligence and Software Engineering(AISE2014)

Author: S. K. Chen, Altair Engineering Inc., California, USA
language: en
Publisher: DEStech Publications, Inc
Release Date: 2014-02-06
2014 International Conference on Artificial Intelligence and Software Engineering(AISE2014) aims to provide a forum for accessing to the most up-to-date and authoritative knowledge from both Artificial Intelligence and Software Engineering. AISE2014 features unique mixed topics of AI Algorithms, Data Mining, Knowledge-based Systems, Software Process and so on. The goal of this conference is to bring researchers, engineers, and students to the areas of Artificial Intelligence and Software Engineering to share experiences and original research contributions on those topics. Researchers and practitioners are invited to submit their contributions to AISE2014.
Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022)

The conference proceedings book is a collection of high-quality research articles in the field of intelligent vision and computing. It also serves as a forum for researchers and practitioners from both academia and industry to meet and share their expertise and experience. It provides opportunities for academicians and scientists along with professionals, policymakers, and practitioners from various fields in a global realm to present their research contributions and views, on one forum and interact with members inside and outside their own particular disciplines.
e-Learning, e-Education, and Online Training

This book constitutes the proceedings of the 5th International Conference on e-Learning, e-Education, and Online Training, eLEOT 2019, held in Kunming, China, in August 2019. The 46 revised full papers presented were carefully reviewed and selected from 99 submissions. They focus on most recent and innovative trends in this broad area, ranging from distance education to collaborative learning, from interactive learning environments to the modelling of STEM (Science, Technology, Mathematics, Engineering) curricula.