In today's rapidly evolving business landscape, the convergence of sustainable supply chain
management (SSCM) and machine intelligence, encompassing artificial intelligence (AI) …

Abstract Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired
by the structure and function of the human brain. In the context of supply chain management …

The last decade has witnessed an increase in the number of extreme weather events
globally. In addition, the economic output around the world is at all-time high in terms of …

Background: Supply chain networks (SCNs) have been interrupted by the COVID-19
pandemic, leaving them open to financial losses. SCs have been impacted by the pandemic …

The gap fraction (GF) of vegetative canopies is an important property related to the
contained bulk of reproductive elements and woody facets within the tree crown volume …

The global–local supply chains are affected by the forward and downward propagation of
COVID-19. The pandemic disruption is a low-frequency and high-impact (black swan) event …

This work aims to improve the accuracy of financial crisis early warnings for small and
medium-sized enterprises (SMEs) to help them uncover hidden dangers during the latent …

With the intensification of global climate change and the frequent occurrence of forest fires,
the development of efficient and precise forest fire monitoring and image segmentation …

This study uses bibliometric analysis and a systematic literature review to map the
conceptual structure of artificial intelligence innovations (AI-I) in the social sciences between …

Purpose Industry 4.0 accelerates the performance of supply chains, in particular, the
reduction in supply chain cost (SCC) and improvement in supply chain flexibility (SCF). The …