Due to their compelling performance and appealing simplicity, Equipment metric-based meta-learning approaches are gaining increasing attention for addressing the challenges of few-shot image classification.However, many similar methods employ intricate network architectures, which can potentially lead to overfitting when trained with limited sample
The growing consumers’ request Default for foods with well-balanced nutritional profile and functional properties promotes research on innovation in pasta making.As a staple food and a common component of diet, pasta can be considered as a vector of dietary fiber, vegetable proteins, vitamins, minerals, and functional compounds.The convention
This study aims to provide valuable insights into the containment challenges faced by Ghanaian SMEs during the COVID-19 Guitar Services pandemic and how these challenges impacted key performance indicators (KPIs).Utilizing the partial least square approach of structural equation modelling (PLS-SEM), data collected from a sample of 152 Ghanaian SMEs
The aim of this work is to describe what urban sociology can offer in addressing one of the challenges perceived as most urgent for contemporary cities on a global level: the energy problem and its consequences referring to climate change.The issues relating to the energy transition have, in recent decades, acquired wide importance within a multitu