Structural health monitoring for mechanical structures using multi-sensor data by Jia-Wei Xiang, Zhi-Bo Yang, Jose L Aguilar

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Assessment of salt tolerance in peas using machine learning and multi-sensor data by Zehao Liu, Qiyan Jiang, Yishan Ji, Rong Liu, Hongquan Liu, Xiuxiu Ya, Zhenxing Liu, Zhirui Wang, Xiuliang Jin, Tao Yang

“…Structural traits (pH and canopy coverage [CC]), texture features, and spectral data were extracted from these images. Using this information, aboveground biomass (AGB) and Soil Plant Analyses Development (SPAD) values were estimated under both growth conditions using four machine learning algorithms: CatBoost, Light Gradient Boosting Machine (LightGBM), support vector machines (SVM), and random forest regression (RF). …”
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Machine Learning for Accurate Office Room Occupancy Detection Using Multi-Sensor Data by Yusuf Ibrahim, Umar Yusuf Bagaye, Abubakar Ibrahim Muhammad

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Probabilistic, Multi‐Sensor Eruption Forecasting by Y. Behr, A. Christophersen, C. Miller

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Determination of agricultural land use: incidence of atmospheric corrections and the implementation in multi-sensor and multi-temporal images by E. Willington, J. P. Clemente, M. Bocco

“…Maximum likelihood and neural networks models produce very good results when multi-temporal/multi-sensor series are used, with global accuracy between 79.17% to 90.14% and Kappa index between 60% to 82%. …”
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Fault diagnosis of mechanical seals using graph neural networks with multi-sensor data fusion by Xiaoran Zhu, Jiahao Wang, Binhui Wang, Hao Wang, Ren Sheng, Baozun Zhai

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AI-Based Vehicle State Estimation Using Multi-Sensor Perception and Real-World Data by Julian Ruggaber, Daniel Pölzleitner, Jonathan Brembeck

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Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi‐Sensor System with Foundation Models by Gianmarco Gabrieli, Matteo Manica, Joris Cadow‐Gossweiler, Patrick W. Ruch

“…This approach matches or outperforms expert‐curated sensor signal features, thereby providing a generalization of data processing for ultimate ease‐of‐use and broad applicability to enable interpretation of multi‐signal outputs for generic sensing applications.…”
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Supervised Learning-Based Fault Classification in Industrial Rotating Equipment Using Multi-Sensor Data by Aziz Kubilay Ovacıklı, Mert Yagcioglu, Sevgi Demircioglu, Tugberk Kocatekin, Sibel Birtane

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Fault Detection in Harmonic Drive Using Multi-Sensor Data Fusion and Gravitational Search Algorithm by Nan-Kai Hsieh, Tsung-Yu Yu

“…Experimental results demonstrate that the proposed diagnosis method, which integrates multi-sensor data fusion with GSA optimization, significantly improves fault diagnosis accuracy compared to methods using single-sensor signals or unoptimized features. …”
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Multi sensor based monitoring of paralyzed using Emperor Penguin Optimizer and Deep Maxout Network by Vijaya Gunturu, J. Kavitha, Swapna Thouti, N. K. Senthil Kumar, Kamal Poon, Ayman A. Alharbi, Amar Y. Jaffar, V. Saravanan

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IoT enabled smart water metering using multi sensor data and machine learning techniques by Mallikarjun Jamadarkhani, Mallikarjun Jamadarkhani, Rohit Raphael, Sri Hari Prasath Ramprasad, Harish Babu, Sridharakumar Narasimhan, Sridharakumar Narasimhan, Sridharakumar Narasimhan

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AI-based ACL Exercises Recognition System Using Wearable Multi-Sensor Data Fusion by Mohammed Ghanim Ayoub

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Mapping of hematite ore deposits using multi-sensor data in the Sekota District, Northern Ethiopia by Jerbaw Tiruneh Abejehu, Binyam Tesfaw Hailu, Worash Getaneh, Karuturi Venkata Suryabhagavan

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Algorithm of fire detection for multi-sensor system by R. A. Bagutdinov, M. F. Stepanov

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Enhanced simulation of gross and net carbon fluxes in a managed Mediterranean forest by the use of multi-sensor data by Marta Chiesi, Nicola Arriga, Luca Fibbi, Lorenzo Bottai, Luigi D'Acqui, Alessandro Dell’Acqua, Sara Di Lonardo, Lorenzo Gardin, Maurizio Pieri, Fabio Maselli

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Multi-Sensor System for Saffron Quality Identification by Rosamaria Capuano, Chiara Serafini, Leonardo Papale, Valerio Allegra, Corrado Di Natale, Alexandro Catini

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Multi-Sensor Instrument for Aerosol In Situ Measurements by Ilya Bruchkouski, Artur Szkop, Jakub Wink, Justyna Szymkowska, Aleksander Pietruczuk

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Robust Multi-Sensor Fusion for Localization in Hazardous Environments Using Thermal, LiDAR, and GNSS Data by Lukas Schichler, Karin Festl, Selim Solmaz

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Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data Collection by Kevin Thomas, Ahasanur Rahman, Wesam Rohouma, Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, Amith Khandakar

“…This paper introduces a new dataset for comprehensive fault diagnosis of three-phase induction motors, featuring synchronized multi-sensor data collection. Real-time measurements of vibration, voltage, and current were captured from a 0.2 kW squirrel cage induction motor using high-resolution sensors, with all signals sampled at 50 kHz. …”
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