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2026 International Conference on Internet of Things and Big Data

Scopes

Internet of Things: Internet of Things Artificial Intelligence Smart City Solution Based on Internet of Things Smart Home Based on Internet of Things Intelligent Education System Based on Internet of Things Robots based on the Internet of Things Security, Privacy, and Trust in the Internet of Things IoT standards and application scenarios Enterprise Management Based on the Internet of Things Business process management based on the Internet of Things Autonomous driving based on the Internet of Things Intelligent Manufacturing Based on the Internet of Things Internet of Things Artificial Intelligence Industrial Internet of Things Applications IoT Data Mining Platform Agricultural Internet of Things Applications Open Service Platform environmental monitoring Internet of Things Semantic Services Internet of Things Education IoT Business System Intelligent transportation IoT application support The Open Theme of Future Internet of Things big data: Big data technology Big data applications data mining Algorithms for big data Big data security and privacy Data Science Models and Methods Big Data and Cloud Computing Big data and the Internet of Things intellisense Basic Model of Big Data Representation format of multimedia big data Privacy Protection and Big Data Analytics Big data visualization analysis Big data analysis centered on small and medium-sized enterprises data mining algorithm Algorithms and Programming Techniques for Big Data Processing Cloud computing technology for big data Big data analysis and measurement Big Data Services Big data encryption Big Data Open Platform Big data quality and management

Submission Portal

If you have any questions or need any help about the conference, please feel free to contact our conference experts on the right:

杨老师

TEL:18582881690

QQ:3965998409

E-mail:icitbd@sub-paper.com

About Plagiarism Check

Crosscheck Powered by iThenticate will be used for plagiarism check. The amount of duplication from previously published content should be less than 20%; If the amount of duplication is 20% - 35%, modification maybe required; if the amount of duplication exceeds 35%, the article will be rejected. Please note that there will be no refund for no-shows.