Abstract: This paper presents a novel robust and accurate normal-assisted learning-based rigid point set registration approach, i.e., Deep Bi-directional Hybrid Mixture Registration (DeepBHMR), where ...
Background: This study aims to investigate the efficacy of peer-assisted learning amalgamated with scenario simulation in enhancing the trauma first aid competencies and holistic abilities of ...
School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia ...
Objective: This study aims to evaluate the value of a machine learning model based on tongue features in the adjunctive diagnosis of Hashimoto’s thyroiditis (HT) and its concomitant hypothyroidism.
As technology evolves, researchers are finding powerful ways to integrate computation, automation and artificial intelligence into their work. At the forefront of this transformation are chemists from ...
ABSTRACT: This work explores generative AI-enhanced text-based games for language learning. Utilizing ChatGPT, the study modifies an early version of Colossal Cave Adventure to generate contextually ...
Abstract: Pareidolia is a psychiatric phenomenon similar to visual illusions or hallucinations, serving as a distinguishing feature of psychiatric disorders. The so-called noise pareidolia test is a ...
INDIANAPOLIS — As a Purdue University master’s degree student in electrical and computer engineering in West Lafayette, Karen D’Souza was impressed by the depth and breadth of the research offered ...
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