Pre-Enrollment

5th September 2026

Final Paper Submission

10th September 2026

Registration Deadline

20th September`2026

Conference Date

5th Oct - 6th Oct 2026

Call for Papers

The International Conference on Sensor Networks and Machine Learning invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Sensor Data Fusion Techniques
02
Machine Learning For Sensor Networks
03
Real-time Data Processing Methods
04
Anomaly Detection In Sensor Data
05
Energy-efficient Sensor Network Designs
06
Scalability Challenges In Sensor Networks
07
Machine Learning Algorithms For Iot
08
Applications Of Sensor Networks
09
Data Privacy In Sensor Networks
10
Distributed Machine Learning Approaches
11
Sensor Network Security Issues
12
Edge Computing In Sensor Networks
13
Predictive Maintenance Using Sensors
14
Sensor Network Optimization Strategies
15
Data Visualization Techniques For Sensors
16
Machine Learning Model Interpretability
17
Collaborative Sensor Network Systems
18
Wireless Communication Protocols For Sensors
19
Smart City Applications Of Sensors
20
Future Trends In Sensor Networks
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review