Ada Fort
0000-0003-0916-1516
26 papers found
Refreshing results…
Grid-layout ultrasonic LoRaWAN-based sensor networks for the measurement of the volume of granular materials
A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement
Characterization of the Response of Magnetron Sputtered In2O3−x Sensors to NO2
Highly Reliable Multicomponent MEMS Sensor for Predictive Maintenance Management of Rolling Bearings
A Photoacoustic-Based Measurement System for Dual Detection of NO2 and CO2 in Combustion Exhaust Gases
Enhanced Visible Light Localization Based on Machine Learning and Optimized Fingerprinting in Wireless Sensor Networks
Performance Evaluation of an IoT Sensor Node for Health Monitoring of Artwork and Ancient Wooden Structures
QCM Measurements of RH with Nanostructured Carbon-Based Materials: Part 2-Experimental Characterization
QCM Measurements of RH with Nanostructured Carbon-Based Materials: Part 1—Theory and Model
Self-Sufficient Sensor Node Embedding 2D Visible Light Positioning through a Solar Cell Module
Strategies for the Accurate Measurement of the Resonance Frequency in QCM-D Systems via Low-Cost Digital Techniques
Autonomous IoT Monitoring Matching Spectral Artificial Light Manipulation for Horticulture
Development of a Self-Sufficient LoRaWAN Sensor Node with Flexible and Glass Dye-Sensitized Solar Cell Modules Harvesting Energy from Diffuse Low-Intensity Solar Radiation
QCM Measurements in Newtonian Liquids: Problems and Performance Analysis
Ion Current Sensor for Gas Turbine Condition Dynamical Monitoring: Modeling and Characterization
Modeling the Conductivity Response to NO2 Gas of Films Based on MWCNT Networks
The Effect of Au Nanoparticle Addition on Humidity Sensing with Ultra-Small TiO2 Nanoparticles
An Adaptive Measurement System for the Simultaneous Evaluation of Frequency Shift and Series Resistance of QCM in Liquid
Evaluating the efficiency of enzyme accelerated CO2 capture: chemical kinetics modelling for interpreting measurement results
RH Sensing by Means of TiO2 Nanoparticles: A Comparison among Different Sensing Techniques Based on Modeling and Chemical/Physical Interpretation
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