Hybrid Conference (In Person / Virtual)

International Conference on IoT and Machine Learning Integration (ICIOTML - 27)
27th - 28th April 2027 , Lisbon, Portugal
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Lisbon. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Lisbon conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Lisbon and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICIOTML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Machine Learning, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine learning for IoT data analysis
02
Smart home applications using machine learning
03
Security challenges in IoT systems
04
Data management in IoT environments
05
Real-time analytics for IoT applications
06
Machine learning for predictive maintenance in IoT
07
IoT and big data integration techniques
08
Energy efficiency in IoT systems
09
Machine learning for smart cities
10
IoT device communication protocols and ML
11
Challenges in IoT data processing
12
Machine learning for healthcare IoT applications
13
IoT security and privacy concerns
14
Scalability issues in IoT machine learning
15
Machine learning for environmental monitoring in IoT
16
IoT applications in agriculture and farming
17
Machine learning for industrial IoT solutions
18
Future trends in IoT and machine learning
19
Data-driven decision making in IoT
20
Machine learning for transportation IoT systems

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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