The rapid urbanization and technological advancements witnessed over recent decades have fundamentally reshaped the landscape of municipal solid waste management (MSWM) 1. As cities expand, the volume ...

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

To analyze the risk factors of secondary Central nervous system infections (CNSIs) after craniotomy, and to establish an individualized predictive model for CNSIs risk. The independent risk factors ...

Artificial intelligence has become one of the most sought-after skills in the modern workforce. Organisations across industries are investing heavily in AI, machine learning, automation, and ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...