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The 12th International Conference on Advances in Information Technology (12th# IAIT2021)
หัวข้อ “Intelligence and Innovation for Digital Business and Society”
วันที่ 29 มิถุนายน - 1 กรกฎาคม 2564
ณ มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี วิทยาเขตบางมด, กรุงเทพมหานคร
Deadline submission: 31 มีนาคม 2564
Website: https://www.iait-conf.org/2021/
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หัวข้อในการประชุม:
Track I : Data Science and AI
– Deep learning and Neural Networks
– Image Processing and Computer Vision
– Cognitive computing and recognition
– Natural Language Processing and Text Mining
– Ontology and Semantic Web
– Data Mining, Knowledge Discovery and Management
– Big Data Analytics
– Evolutionary Computation and Particle Swarm Optimization
– Decision Modeling and Optimization
– Information Retrieval
– Intelligent Agents and Multi-Agent Systems
– Computer Simulation and Modeling
– Artificial Life
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Track II : Network, IOT and Securities
– Network Management and Analysis
– Mobile Ad hoc network
– The Future of digital network & protocols
– Cloud and Grid computing
– Green communication network and Sustainable computing
– Radio-frequency identification (RFID) technology
– Localization and Navigation Systems
– Internet of Things and Wireless Sensor Networks
– Network Protocol and Architecture
– Parallel and Distributed Computing
– Ubiquitous computing, Ambient Intelligence
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Track III : SW Development and Human-Centric Design
– Software Architecture, Design and Engineering
– Process Management & Improvement
– Design Patterns and Frameworks
– Business Process Reengineering & Science
– Virtual Reality
– Human-Machine Interface and Communications
– Behavior and Community Analytics
– Assistive and Companion Technologies
– E-governance: Economics and Development
– Sports and rehabilitation
– Voice interface
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Track IV : Applications for business and well-being
– Covid-19: Innovations
– Healthcare
– e-Business, e-Commerce, and e-Government
– Social cognition and analytic
– FinTech and Blockchain
– Online learning and education paradigm
– Recommender and Warning Systems
– Technology adoption Model and Analysis
– Financial, Time Series & Portfolio Analysis
– e-learning
– Intelligent Tutoring Systems
– Web Mining & Multimedia Intelligence
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ติดต่อสอบถามเพิ่มเติมได้ที่:
E-mail: iait@sit.kmutt.ac.th
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