We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

Background and objective Aim of nephrologists is to delay the outcome and reduce the
number of patients undergoing renal failure (RF) by applying prevention protocols and …

Multi-characteristic optimization and modeling analysis of electrocoagulation (EC) treatment
of abattoir wastewater (AWW) using iron‑iron electrodes are reported. Response Surface …

The artificial neural network (ANN), response surface methodology (RSM), and adaptive
neuro-fuzzy inference system (ANFIS) were applied to predict the yield of fermentable sugar …

The development of maritime autonomous surface ships (MASS) is on the verge of opening
a new era in the shipping industry that can result in a new paradigm shift with regard to …

This article reviews energy management schemes for smart homes integrated with
renewable energy resources in the context of the COVID-19 pandemic. The incorporation of …

The authors propose a method for breast dynamic contrast enhanced‐magnetic resonance
imaging classification by combining radiomic texture analysis with a hybrid adaptive neuro …

This study is on the modeling of fermentable sugar production process; obtained by
enzymatic hydrolysis of Colocynthis vulgaris Shrad seeds shell (CVSSS) using the response …

Learning difficulty is a significant issue that comprehensively needs to be taken care of by
university instructors with a focus on altering their ways of educating students since various …

Background This study aimed to use the hybrid method based on an adaptive neuro-fuzzy
inference system (ANFIS) and particle swarm optimization (PSO) to predict the long term …