This study optimizes biomass chemical looping processes (BCLpro), a technique for
converting biomass to energy, through machine learning (ML) for sustainable energy …

Precise control and accurate endpoint determination in the thawing of frozen beef are vital
for maintaining its quality and safety in the food industry. Traditional thawing methods, which …

The identification of relevant biomarkers from high-dimensional cancer data remains a
significant challenge due to the complexity and heterogeneity inherent in various cancer …

Poly-drug therapy is now recognized as a crucial treatment, and the analysis of drug–drug
interactions (DDIs) offers substantial theoretical support and guidance for its implementation …

Abstract Nowadays, Polycystic Ovary Syndrome (PCOS) affects many women, making it a
prevalent concern. It is a hormonal disorder that causes irregular, delayed, or absent …

Disease outbreaks negatively affect fish production. Antimicrobial agents used in the
treatment of diseases become ineffective over time because of antibiotic resistance …

An integrated method that implements multivariate statistical analysis and ML methods to
evaluate groundwater quality of the shallow aquifers of the Djerid and Kebili district …

Early-stage detection of lung tumors helps to reduce patient mortality rates. In this work, we
propose a method for diagnosing lung tumors in nude mice through combining laser …

Marine and ocean pollution is one of the most serious environmental problems in the world.
Marine plastics pose a significant threat to the marine ecosystem due to their negative …

The automatic detection of diseases in tomato leaves significantly contributes to tomato
production and enables farmers to manage these issues more effectively. Tomatoes are a …