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Comparison of overall (a) Accuracy and (b) Label request results between ROAL and AOL.
Published 2019Subjects: “…Cell Biology…”
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Algorithm for generating virtual patients.
Published 2021“…<b>2)</b> The model evaluated is then simulated on this parameter set to obtain <i>y</i>(<i>t</i>, <i>p</i>). <b>3)</b> A simulated annealing algorithm is then used to determine a parameter set that optimises the objective function <i>J</i>(<i>p</i>) (<a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1009753#ppat.1009753.e059" target="_blank">Eq 17</a>). …”
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ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space
Published 2020“…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …”
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Fractal dimension of cortical functional connectivity networks & severity of disorders of consciousness
Published 2020“…To validate this, we tested several measures of fractal dimension on the brain activity from healthy volunteers and patients with disorders of consciousness of varying severity. We used a Compact Box Burning algorithm to compute the fractal dimension of cortical functional connectivity networks as well as computing the fractal dimension of the associated adjacency matrices using a 2D box-counting algorithm. …”
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Labyrinthine Microstructures with a High Dipole Moment Boron Complex for Molecular Physically Unclonable Functions
Published 2025“…Here, we report the development of a new high dipole-moment small molecule, InIm-BF<sub>2</sub>, a difluoroborate complex of an indolyl-imine ligand, and the fabrication of unique labyrinthine patterns through a facile two-step thin film process under ambient conditions. …”
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A framework for improving localisation prediction algorithms.
Published 2024“…One can expect that the combination of multi-dimensional parameters from evolutionary biology, cell biology and molecular biology on evolutionary diverse species will significantly improve the next generation of machine leaning algorithms that serve localisation (and function) predictions.…”