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Continuous joint angle estimation is essential for enhancing man-machine collaboration performance. However, it is challenging to estimate the complex multi-joint angle of the lower limb accurately.
The physics of the innermost shells of atoms is qualitatively different in several respect from that of outer electrons. For single deep holes, correlation effects are slight, while the effects of ...
We present a new model for conduction in polycrystalline silicon based on an extended state mobility in the disordered grain boundary and the diffusion theory of current. This analysis for the first ...
Researchers at the Niels Bohr Institute, University of Copenhagen, have developed a tunable system that paves the way for ...
Thus, we use the generative diffusion model (GDM) and contract theory to design a two-stage, multi-dimensional resource allocation framework. In the first stage, we employ an approximation approach to ...
Syllabus: The NTA has put the official JEE Main 2026 Syllabus online on their website: jeemain.nta.nic.in. If you're planning ...
In this paper we deal with a mathematical model for the evaluation of the electromagnetic iron losses in rotating electrical machines under no load conditions. The presented problems of ...
The partitioning of electron spin density among atoms in a material gives atomic spin moments (ASMs), which are important for understanding magnetic properties. We compare ASMs computed using ...
The hysteresis loop of the core material in a test current transformer is simulated using the Jiles-Atherton theory. Comparisons are made between recorded and simulated waveforms and it is found ...
Project progress risk management is an important component of project risk management. This paper, based on the variable fuzzy set theory, proposes an evaluation model of project progress risk level.
Model reference adaptive control which are capable of exhibiting simultaneously several kinds of feature (e.g., automatically adjusting the controller gain, stabilizing the system, flexibility, ...
With AI model-makers spewing more and more generative AI data on a daily basis, AI startups will find it harder to obtain quality training data, creating a lockout effect that makes their models more ...