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MIWAI 2024 : 17th Multi-Disciplinary International Conference on Artificial IntelligenceConference Series : Multi-disciplinary Trends in Artificial Intelligence | |||||||||||||||
Link: https://miwai24.miwai.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
The Multi-disciplinary International Conference on Artificial Intelligence (MIWAI), formerly called The Multi-disciplinary International Workshop on Artificial Intelligence, is a well established scientific venue in the field of artificial Intelligence. MIWAI was established more than 16 years. This conference aims to be a meeting place where excellence in AI research meets the needs for solving dynamic and complex problems in the real world. The academic researchers, developers, and industrial practitioners will have extensive opportunities to present their original work, technological advances and practical problems. Participants can learn from each other and exchange their experiences in order to fine tune their activities in order to help each other better. The main purposes of the MIWAI series of conferences are:
* To provide a meeting place for AI researchers and practitioners. * To inform research students about cutting-edge AI research via the presence of outstanding international invited speakers. * To raise the standards of practice of AI research by providing researchers and students with feedback from an internationally-renowned program committee. Artificial intelligence is a broad area of research. We encourage researchers to submit papers in the following areas but not limited to: THEORY, METHODS AND TOOLS Cognitive Science Computational Philosophy Computational Intelligence Computer Vision Evolutionary Computing Game Theory Knowledge Representation and Reasoning Machine Learning Multi-agent Systems Natural Language Processing Planning and Scheduling Robotics Speech Recognition Uncertainty in AI Vision Web and AI APPLICATIONS Ambient Intelligence Big Data Biometrics Bioinformatics Chatbots Decision Support Systems E-commerce Industrial Applications of AI Knowledge Management Telecommunications and Web Services Surveillance Spam Filtering Software Engineering Social Networking Security Semantic Web Recommender Systems Privacy SUBMISSION GUIDELINES Both research and application papers are solicited. All submitted papers will be carefully peer-reviewed on the basis of technical quality, relevance, significance, and clarity. Each paper should have no more than twelve (12) pages in the Springer-Verlag LNCS style. The authors' names and institutions should not appear in the paper. Unpublished work of the authors should not be cited. Springer-Verlag author instructions are available at: http://www.springer.com/lncs |
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