Predicting medical waste (MW) properly is vital for an effective waste management system
(WMS), but it is difficult because of inadequate data and various factors that impact MW. This …

This study explores the performance augmentation of a regenerative counterflow indirect
evaporative cooler (RCFIEC) both experimentally and numerically. A counter flow heat/mass …

CO2 emission is one of the biggest environmental problems and contributes to global
warming. The climatic changes due to the damage to nature is triggering a climate crisis …

The potential substitution of Portland cement–based concrete with low-and high-calcium fly
ash–based geopolymers was investigated. However, predicting the workability and …

A data subset collected from different research papers is used to determine the optimum
conditions for extracting protein from soybeans. Various algorithms are employed to model …

This study addresses the complexities of inventory management in the casting industry,
focusing on a proprietary inoculant crucial for casting process. The unpredictable nature of …

Effective planning and managing medical waste necessitate a crucial focus on both the
public and private healthcare sectors. This study uses machine learning techniques to …

This study focuses on predicting soil liquefaction, a critical phenomenon that can
significantly impact the stability and safety of structures during seismic events. Accurate …

The uncertainty and adverse impact of climate change on marine ecosystems is highly
evident through diminishing numbers of fish assemblages and hard corals within lagoons …

With the rising prominence of gold as a lucrative investment avenue in Iran, this research
delves into predicting the future price of 18-carat gold. In pursuit of this objective, a …