Universidad Estatal Península de Santa Elena

Evaluation of Algorithmic Carbon Footprint and Artificial Intelligence (AI) Tools in Environmental Education Programs: Systematic Review

The integration of Artificial Intelligence (AI) in educational settings creates pedagogical opportunities while raising environmental concerns regarding data center energy consumption and physical infrastructure footprint. This systematic review synthesizes scientific evidence on...

Nutrient Solution and Harvest Age of Hydroponic Maize Fodder: Potential Influence on Chemical Composition, Rumen Digestion and Mitigation of Gas, CH4 and CO2 Emissions in Brahman Bulls

Forage scarcity, especially during dry periods, limits feed availability for livestock systems, affecting the productivity and sustainability of animal production. The aim of this investigation was to determine the effect of three harvest ages (8, 10 and 12 days) and five nutrien...

Limits to the Spatial Transferability of Machine-Learning Models for Farm-Record-Level Maize Yield Prediction in Manabí, Ecuador

Farm-level yield models are commonly evaluated using random train–test partitions; however, spatial dependence among geographically related observations can lead to overly optimistic estimates of predictive performance and may not adequately reflect generalization to unseen locat...

Neurophysiological Characterization of ADHD in Children Using EEG Signals: A Machine Learning Approach to Executive Function Networks

Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder whose clinical assessment relies mainly on behavioral and neuropsychological evaluation. This study evaluates a subject-wise machine learning framework for distinguishing children with ADHD...