The world faces growing water scarcity and the need for efficient wastewater treatment. The
application of advanced artificial intelligence (AI) techniques holds great promise in …

Abstract The application of Artificial Intelligence (AI) in environmental monitoring offers
accurate disaster forecasts, pollution source detection, and comprehensive air and water …

The quality evaluation of sweetpotatoes is of utmost importance during postharvest handling
as it significantly impacts consumer satisfaction, nutritional value, and market …

Microwave heating is a promising solution to overcome the shortcomings of conventional
heating in biomass pyrolysis. Nevertheless, biomass microwave pyrolysis is a complex …

Polycystic Ovary Syndrome (PCOS) is a complex disorder predominantly defined by
biochemical hyperandrogenism, oligomenorrhea, anovulation, and in some cases, the …

With catastrophic climate change and accelerated urbanization, urban flooding has
emerged as the most influential hazard over last few decades. Therefore, a systematic study …

Hydrothermal carbonization (HTC) is a process that converts biomass into versatile
hydrochar without the need for prior drying. The physicochemical properties of hydrochar …

Abstract The big Artificial General Intelligence models inspire hot topics currently. The black
box problems of Artificial Intelligence (AI) models still exist and need to be solved urgently …

This study developed six machine learning models to predict the biochar properties from the
dry torrefaction of lignocellulosic biomass by using biomass characteristics and torrefaction …

(1) Background: The aim of this paper was to study landslide susceptibility map** based
on interpretable machine learning from the perspective of topography differentiation.(2) …