Multi-sensor instrument validation
The validation includes a comparison of the obtained multiple magnetic properties of the mapped crustal rocks from different sites with all available mineralogical and geological data from these sites. This should document the potential of our new geophysical tool to determine rock compositions.
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Light‐Controlled Reversible Coassembly of Hybrid Functional Nanostructures
Advanced Functional Materials, EarlyView.Light‐responsive hybrid nanostructures are formed by coassembling azobenzene‐ and PAH‐functionalized nanoparticles through reversible an tunable π interactions. The system enables tunable coupling between distinct components such as gold and magnetite or carbon nanotubes, producing switchable optical and magnetic properties under light and magnetic ...
Michal Sawczyk +5 more
wiley +1 more source
A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving. [PDF]
Sensors (Basel)Wang H, Liu J, Dong H, Shao Z.
europepmc +1 more source
A global 400-m high-resolution soil moisture dataset derived from multi-sensor remote sensing observations. [PDF]
Sci DataFang B, Lakshmi V, Hain C, Mishra V.
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Application of Multi-Sensor Data Fusion and Machine Learning for Early Warning of Cambrian Limestone Water Hazards. [PDF]
Sensors (Basel)Li H, Li Y, Lin W, Yang H, Liu K.
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Structural Health Monitoring of Defective Carbon Fiber Reinforced Polymer Composites Based on Multi-Sensor Technology. [PDF]
Sensors (Basel)Li W, Huang H, Wan B, Pang X, Yan G.
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A Study on Distributed Multi-Sensor Fusion for Nonlinear Systems Under Non-Overlapping Fields of View. [PDF]
Sensors (Basel)Wang L +5 more
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First spectral dataset of Parthenium hysterophorus (Famine Weed) to support multi-sensor species classification and modelling. [PDF]
Data BriefKganyago M.
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In this contribution we describe the realization of MUSES, a novel research equipment able to detect and identify photons emitted, after laser irradiation, from biological samples (like micro-organisms and human cells) for fast ultraweak luminescence analysis.
S. TUDISCO +6 more
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The use of multiple sensors typically requires the fusion of data from different type of sensors. The combined use of such a data has the potential to give an efficient, high quality and reliable estimation. Input data from different sensors allows the introduction of target attributes (target type, size) into the association logic.
Hussain, Dil Muhammad Akbar +2 more
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