Abstract: This paper presents an online dual inductance identification method for the model reference adaptive system (MRAS) position observer of a megawatt doubly-fed induction generator (DFIG) in a ...
Predicting non-coding RNA-based regulatory networks in cancer metastasis using a heterogeneous hierarchical graph transformer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I.
In many complex systems, predictability can be substantially state-dependent. We propose here a purely data-driven approach for estimating the local predictability at different time scales. The ...
Abstract: In this paper, a series of solutions based on geometric models and optimisation algorithms are proposed for the problem of motion optimisation of complex motion systems in space. Firstly, a ...
The Transformer architecture revolutionised natural language processing with its self-attention mechanism, enabling parallel computation and effective context retrieval. However, Transformers face ...
Researchers at The University of Texas Health Science Center at San Antonio have discovered a way to delay or even block recurrence of the deadliest brain cancer after radiation, bringing new hope for ...
ABSTRACT: This study compares the Adomian Decomposition Method (ADM) and the Variational Iteration Method (VIM) for solving nonlinear differential equations in engineering. Differential equations are ...
ABSTRACT: This study compares the Adomian Decomposition Method (ADM) and the Variational Iteration Method (VIM) for solving nonlinear differential equations in engineering. Differential equations are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results