Harnessing quantum extreme learning machines for image classification

Interest in quantum machine learning is growing due to its potential to offer more efficient solutions for problems that are difficult to tackle with classical methods. In this context, the research work presented here focuses on the use of quantum machine-learning techniques for image-classification tasks. We exploit a quantum extreme learning machine by taking advantage of its rich feature map provided by the quantum reservoir substrate. We systematically analyze different phases of the qua...

Board gender diversity in football clubs: Exploring the findings from Bibliometric and Manual Content Analyses

The Agenda 2030 for Sustainable Development (SD) and the Environmental, Social, & Governance (ESG) factors present a new challenge for companies globally. To thrive in this environment, businesses must adapt to these demands, leading to a significant transformation in corporate management. It is now crucial to align the goal of profit maximization with efforts to lessen negative impacts on the environment and society. Football clubs around the globe, including those in Italy, are starting...

Digital Transformation for Enhancing Customer Value: Insights from Five Calabrian SMEs

The paper analyzes the effects of digital transformation on the social sustainability of Italian small and medium enterprises (SMEs), focusing on the evolving relationship with customers and the potential for enhancing value creation for them. Following a literature review on digital transformation among SMEs, the paper examined five Calabrian SMEs across various sectors using a methodological framework incorporating multiple case studies. Specifically, semi-struct...

Un criterio per l’elaborazione di una griglia di calcolo quadtree adatta a simulazioni idrodinamiche bidimensionali a scala di bacino.