International Conference on Embedded Engineering Systems and Data Mining

ICEESDM

17th Jun – 18th Jun 2027 Chongqing, China

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Registration Summary

Conference ICEESDM

Date 17th Jun – 18th Jun 2027

Location Chongqing, China

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

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Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Embedded Engineering Systems +

This track focuses on the latest innovations in embedded engineering systems, emphasizing their integration with modern technologies. Participants will explore case studies and theoretical frameworks that enhance system performance and reliability.

SDG 9 SDG 12

02 Data Mining Techniques for IoT Applications +

This session will delve into advanced data mining methodologies specifically tailored for Internet of Things applications. Discussions will center around the extraction of meaningful insights from large volumes of sensor data.

SDG 9 SDG 11

03 Predictive Maintenance in Industrial Settings +

This track addresses the role of data mining in predictive maintenance strategies within industrial environments. Researchers will present models that utilize historical data to forecast equipment failures and optimize maintenance schedules.

SDG 8 SDG 9

04 Sensor Data Analysis for Performance Monitoring +

This session emphasizes the importance of sensor data analysis in monitoring system performance. Participants will share innovative approaches to analyze real-time data for enhancing operational efficiency.

SDG 9 SDG 12

05 System Optimization through Data-Driven Approaches +

This track explores data-driven methodologies for optimizing embedded systems. Presentations will highlight techniques that leverage data analytics to improve system design and functionality.

SDG 9 SDG 12

06 Firmware Development for Enhanced Data Processing +

This session focuses on the development of firmware that supports advanced data processing capabilities in embedded systems. Discussions will include best practices for integrating data mining algorithms into firmware.

SDG 9 SDG 12

07 Anomaly Detection in Sensor Networks +

This track will cover techniques for detecting anomalies in sensor networks using data mining approaches. Researchers will present novel algorithms that enhance the reliability of sensor data interpretation.

SDG 9 SDG 11

08 Performance Monitoring Techniques in Embedded Systems +

This session addresses various techniques for monitoring the performance of embedded systems in real-time. Participants will discuss the challenges and solutions related to performance metrics and data analysis.

SDG 9 SDG 12

09 Industrial IoT and Big Data Analytics +

This track explores the intersection of Industrial IoT and big data analytics, focusing on how large datasets can be leveraged for operational improvements. Presentations will highlight case studies demonstrating successful implementations.

SDG 9 SDG 12

10 Machine Learning Applications in Data Mining +

This session will investigate the application of machine learning techniques in the field of data mining. Researchers will present their findings on how these techniques can enhance data analysis and decision-making processes.

SDG 9 SDG 12

11 Challenges in Data Integration for Embedded Systems +

This track discusses the challenges associated with data integration in embedded engineering systems. Participants will explore solutions that facilitate seamless data flow and interoperability among diverse systems.

SDG 9 SDG 12