This abstract delves into the realm of manufacturing productivity enhancement through the
review of AI-driven supply chain management (SCM) optimization and Enterprise Resource …

This review paper explores the integration of sustainability and ethics in modern supply
chain management, emphasizing the need for organizations to align their operations with …

This study examines the role of human resource (HR) strategies in enhancing collaboration
and performance within global supply chains, an area of increasing importance in the …

This paper proposes a novel approach to combating HIV drug resistance through the
development of predictive models leveraging genomic data and artificial intelligence (AI) …

Predicting and preventing HIV outbreaks in Sub-Saharan Africa, a region disproportionately
affected by the epidemic remains a significant challenge. This review explores the …

The integration of artificial intelligence (AI) into HIV treatment regimens has revolutionized
the approach to personalized care and optimization strategies. This study presents an in …

One of the most significant problems related to Big Data is their analysis with the use of
various methods from the area of descriptive statistics or machine and deep learning. This …

Abstract Integrating Artificial Intelligence (AI) within Industry 4.0 has propelled the evolution
of fault diagnosis and predictive maintenance (PdM) strategies, marking a significant shift …

Artificial intelligence (AI) has emerged as a powerful tool in healthcare, with the potential to
revolutionize the monitoring of HIV treatment adherence. This conceptual exploration delves …

This paper explores the potential of deep learning in analyzing social media data to identify
and support populations at high risk for HIV. With the widespread use of social media, there …