Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
This achievement is the result of more than two years of focused development, driven by the expertise of our production ...
Optimizing fusion bead preparation techniques is crucial for high-precision XRF analysis, improving calibration stability and ...
Raman spectroscopy, combined with chemometrics, is revolutionizing fuel and lubricant quality monitoring with real-time, accurate analysis in refinery processes. This interview explores how.
Abstract: Magnetic particle imaging (MPI) is a novel tomographic imaging technique with high sensitivity and high temporal resolution. Reconstruction methods based on the system matrix (SM) enable ...
An innovative arrangement employing diverse electronic and optical principles and components leads to precision frequency ...
Buoyancy corrections can become important when the density of the object being weighed is very different from the density of the masses employed for the calibration function. For example, this is true ...
Abstract: The calibration of relative orientation between the camera and the two-axis turntable directly affects the measurement accuracy of the aircraft’s attitude and position for the aircraft pose ...
Welcome to the 14th Cochrane Methods report compiled by the Central Executive Team to provide an overview of the key methodological activities in Cochrane for 2024–2025. The report highlights the ...
A drone can only be effective, efficient, and safe if operators properly check and calibrate them for each type of application (corn, pastures, aquatic, and so on). Maintaining accuracy depends on ...
Quantum Error Correction (QEC) is essential for fault-tolerant, large-scale quantum computation. However, error drift in qubits undermines QEC performance during long ...
Multi-sensor calibration of advanced driver assistance systems (ADAS) in autonomous vehicles ensures accurate data fusion by aligning various sensors (like cameras, LiDAR, and radar) into a unified ...