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INTELLIGENT MOBILE SYSTEMS BASED ON INTERNET OF THINGS

Important dates

Submission Deadline 30.06.2025
Author Notification: 30.07.2025
Final Manuscript Due: 15.08.2025
Conference Dates: 28.10.2025-30.10.2025
We are pleased to announce our upcoming 2nd International Workshop on Intelligent Mobile Systems based on Internet of Things in the 16th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN) and invite you to submit your research papers and join our collective endeavor to further this rapidly evolving field.

Intelligent Mobile Systems based on the Internet of Things refer to the integration of smart devices, sensors, and connectivity into mobile systems to enable intelligent and data-driven functionalities. This combination leverages the capabilities of IoT to enhance the efficiency, connectivity, and intelligence of mobile devices and applications. Some of the key aspects include but not limited to:

· Sensors and Data Collection: IoT-enabled mobile systems use various sensors to collect data from the surrounding environment. These sensors can include GPS, accelerometers, gyroscopes, temperature sensors, humidity sensors, and more. The collected data is then transmitted to a central system for analysis.

· Connectivity: IoT relies on connectivity to facilitate communication between devices and systems. Mobile devices, being inherently connected, play a crucial role in this ecosystem. They use wireless technologies such as Wi-Fi, Bluetooth, or cellular networks to communicate with other devices and cloud-based services.

· Cloud Computing: The data collected by mobile devices are often sent to cloud-based platforms for storage, processing, and analysis. Cloud computing allows for scalable and efficient data handling, enabling advanced analytics and machine learning algorithms to extract meaningful insights.

· Intelligent Processing: With the integration of AI and machine learning algorithms, mobile systems can process the collected data in real-time, enabling intelligent decision-making. This can include predictive analytics, anomaly detection, and other smart functionalities.

· Automation and Control: IoT-enabled mobile systems can be used to automate various tasks and control connected devices. For example, a mobile application might allow users to control smart home devices, monitor industrial processes, or track and manage inventory in real-time.

· Enhanced User Experience: The integration of IoT in mobile systems can lead to a more personalized and context-aware user experience. Applications can adapt to user preferences, location, and environmental conditions, providing a seamless and intelligent interface.

· Industry Applications: Intelligent mobile systems based on IoT find applications across various industries, including healthcare, transportation, agriculture, logistics, smart cities, and more. For instance, in healthcare, IoT-enabled mobile devices can monitor patients' health parameters and send real-time data to healthcare providers.

· Security Considerations: As with any IoT application, security is critical considerations. Robust security measures must be implemented to protect sensitive data and prevent unauthorized access to the connected devices.

In summary, Intelligent Mobile Systems based on the Internet of Things aim to create a more connected, intelligent, and efficient ecosystem by leveraging the capabilities of both mobile devices and IoT technologies.

The EUSPN-2025 will be held in conjunction with the 15th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2025)
ORGANIZING COMMITTEE
  • Prof. Andrii Biloshchytskyi
    Vice-Rector for Science and Innovations, Astana IT University, Kazakhstan
  • Prof. Nurkhat Zhakiyev
    Head of the Science and Innovation Department, Astana IT University, Kazakhstan
  • Prof. Didar Yedilkhan
    Head of the Smart City research center, Astana IT University, Kazakhstan
PUBLICATION
All accepted papers will be scheduled for oral presentations and will be printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series (on-line).
LOCATION
Istanbul, Türkiye
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