2nd World Summit and Expo on Sensors and Sensing Technology
MAY 08-10, 2025 Budapest, Hungary
Abstract Submission Deadline: January 25, 2025
Standard Registration Deadline: 27-01-2025
MAY 08-10, 2025 Budapest, Hungary
Abstract Submission Deadline: January 25, 2025
Standard Registration Deadline: 27-01-2025
University of Huddersfield Research
UK
Satellite Technology and Research Centre (STAR)
Singapore
School of Engineering at Newcastle University.
UK
Littoral University of Opal Coast
France
University of Derby
UK
Automation, Optimized Systems, and Fractional Order Control
Algeria
Saint-Petersburg Electrotechnical University
Russia
University of Applied Science
Germany
Budapest University of Technology and Economics (BUTE)
Hungary
Czech Academy of Sciences
Czech Republic
Necmettin Erbakan University
Turkey
University of Huddersfield Research
UK
Satellite Technology and Research Centre (STAR)
Singapore
School of Engineering at Newcastle University.
UK
Littoral University of Opal Coast
France
University of Derby
UK
Automation, Optimized Systems, and Fractional Order Control
Algeria
Saint-Petersburg Electrotechnical University
Russia
University of Applied Science
Germany
Budapest University of Technology and Economics (BUTE)
Hungary
Czech Academy of Sciences
Czech Republic
Necmettin Erbakan University
Turkey
Chemical, Electrochemical, and Gas Sensors
Microfluidics and Biosensors
Optical Sensors
Physical Sensors: Temperature, Mechanical, Magnetic, and Others
Acoustic and Ultrasonic Sensors
Sensor Networks and IoT
Emerging Sensor Technologies and Applications
Sensor Data Processing and AI
Wearable Sensors and Systems
Sensors in Industrial Practices
Smart Sensors and Sensor Fusion
Electronic Nose Technology
Lab-on-Chip | Sensor Arrays
Ultrasonic, Acoustic, Noise, and Vibration Sensors
Wireless Sensors and WSN
Optical Fiber Sensors
Temperature Sensors
Electromagnetic Sensors
Mechanical Sensors
Biological, Chemical Sensors
Acoustic Sensors
Multi-Sensor Fusion Technology
Nanomaterials and Electronics Technology for Sensors
Machine/Deep Learning and Artificial Intelligence in Sensing and Imaging