University of Nottingham Malaysia Campus

A Critical Review of Literature on the Application of Machine Learning Algorithms in Cropland Suitability Modelling

Abstract Land Suitability Analysis (LSA) for is a crucial process for optimizing land use, crop yields, and sustainability. Machine Learning (ML) approaches provide robust alternatives to conventional suitability modelling. This study adopted a critical approach to review the lit...

Developing the productive emotion vocabulary test (PEVT) for adult speakers of English as an additional language

Abstract Emotion vocabulary (EV) is integral to language proficiency, yet it is rarely assessed, and existing tools are largely decontextualised and unvalidated for adult users of English as an additional language (Lx). We introduce the Productive Emotion Vocabulary Test (PEVT),...

Cortical synergistic information transmission is associated with obesity-related differences in working memory through different interaction patterns

Abstract Background Obesity has been increasingly linked to differences in working memory (WM), yet the neurophysiological mechanisms linking metabolic state to cognitive function remain unclear. Here, we investigated whether alterations in cortical information transmission are a...

Lightweight edge AI approach for real-time audio-based machine health analytics on ARM cortex-M microcontroller

Most audio-based machine-health studies on the MIMII benchmark stop at simulation, and existing edge-oriented anomaly detectors remain too large (8–64 MiB) for microcontroller deployment—leaving open the question of whether an accurate detector can actually run on a low-cost ARM...

From Black-Box to Glass-Box: The Impact of Procedural Transparency and Explainability on AI Literacy in K-12 Education

As artificial intelligence (AI) becomes ubiquitous, moving learners beyond foundational awareness toward higher-order AI literacy is increasingly essential. Automated AI tools prioritize high-level abstraction, risking “illusory competence” in which operational success masks conc...

A numerical study of the three-way parametric effect of fuel blend, confinement ratio, and operating pressure on swirl stabilised syngas combustion emissions

Reducing pollutant emissions from high-pressure combustion in the power and industrial sectors calls for a shift toward low-carbon fuels such as syngas, a hydrogen (H 2 )–carbon monoxide (CO) mixture whose combustion behaviour is highly sensitive to operating conditions. This stu...