GTF-AIML welcomes highest quality submissions that contribute to the full range of Machine Learning, Artificial Intelligence research, from modeling, learning algorithms, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use Machine Learning, Artificial Intelligence concepts in computational intelligence way.
GTF-AIML conference a very distinguish international meeting specialized in Artificial Intelligence & Machine Learning, where scientists and scholars had the chance to share ideas, form new collaborations, and brainstorm on major challenges; and where industry experts could catch up on emerging solutions to help solve their concrete data science problems.
All the very high quality of accepted papers (limited at 40-60 papers)
will be published automatically in both of indexed Proceedings within Studies in computational intelligence Book Serie(as regular papers)
The books of this series indexed Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink
and in the list of relevant and renowned journals with impact Factors Q2-Q3 (as extended version)
★★★ The confirmed Journals List ★★★
THE GLOBAL THEORETICAL FOUNDATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING CONFERENCE (GFT-AIML’2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of AI and Machine Learning.
GFT-AIML conference provides a forum for developing and networking an international community of scholars and practitioners who are interested in all aspects of Machine Learning, Artificial Intelligence and approaches to computational intelligence and Data Sciences.
The convergence of artificial intelligence (AI) and Machine Learning are creating a revolution in the domain of computer science, communications and information technology with diverse engineering applications. With the growing power of AI, new computing platforms, Machine Learning are necessary to support the emerging AI algorithms and applications from system level to circuit level. The conference promotes the transfer of recent AI research into practical applications and implementations; i.e. developing intelligent ICT systems and pursuing artificial intelligence applications for contents, platforms, networks and devices. The International Conference on Machine Learning and Artificial Intelligence will provide an excellent global forum for sharing knowledge and results in theory, methodology and applications of Machine Learning and Artificial intelligence in diverse interdisciplinary domains.
The conference program during presents the advances and innovative approaches that provide intelligent solutions in Machine Learning and Artificial intelligence through presentations, interactive exhibits, posters, art installations and performances.
All sessions will last 100-120 minutes. Each session will have a president and usually 10-15 presenters. Each speaker will have a speaking time of 10-15 minutes maximum. The chair of your session will confirm the exact time of your presentation, based on the number of presentations in the session. In order to allow discussion after individual presentations, the session chair will be time keeper and will ensure that all presenters strictly adhere to their allotted time. All presenters and session presidents will be contacted by email prior to the conference. Session Chairs will receive presenters' email addresses and initiate communication.
A poster session is a graphic presentation of an author's research. Authors illustrate their study findings by displaying graphs, photos, diagrams, and a small amount of text on poster boards. Presentations should follow the GTF'AIML guidelines, See GTF'AIML Preparing for Submission. In a poster session, there is no formal oral presentation; instead, each author is assigned a display area on which diagrams, graphics, data, pictures/photos, and a small amount of text are presented. The poster should be self-understandable, but the author should be available at certain times, such as refreshment breaks and during the devoted poster session, to interact with viewers and answer questions. The poster boards exactlly 120 high 80 cm, landscape orientation. (is the unique recommended size for posters).
The conference is seeking submissions related to the following conference topics : all aspects of Machine Learning, Artificial Intelligence, and approaches to computational intelligence and Data Sciences. Other related topics will also be considered.
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