The past decades have seen the development of quantum machine learning, stemming from the intersection of quantum computing and machine learning. This field is particularly promising for the design of ...
A car engine doesn't burn fuel at a constant rate. At low RPM, efficiency climbs. Around mid-range, it plateaus. Push past the redline and consumption spikes. Plot engine RPM against fuel efficiency ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This work introduces the Adsorption Energy Distribution (AED) calculation using ...
A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models. The algorithm adjusts the network's weights to minimize any gaps -- ...
Magnetic resonance imaging (MRI) is invaluable for understanding brain disorders, but data complexity poses a challenge in experimental research. In this study, we introduce suMRak, a MATLAB ...
to speed up the construction of the discrete-time model by turning to Newton-type methods for solving the Schrödinger system (in the next section, we show numerically that a mixed Newton–Sinkhorn ...
Fluorescence lifetime imaging microscopy (FLIM) provides valuable quantitative insights into fluorophores’ chemical microenvironment. Due to long computation times and the lack of accessible, ...
Mobile Manipulator,Reactive Control,Degrees Of Freedom,End-effector,Joint Limits,Joint Velocity,Quadratic Programming,Tactile Sensor,Angular Velocity,Base Frame,Depth ...
Wearable computing platforms, such as smartwatches and head-mounted mixed reality displays, demand new input devices for high-fidelity interaction. We present AuraRing, a wearable magnetic tracking ...
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