Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …

Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …

Anaerobic digestion (AD) is widely adopted for remediating diverse organic wastes with
simultaneous production of renewable energy and nutrient-rich digestate. AD process …

Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …

Artificial neural network (ANN) is a simplified model of the biological nervous system
consisting of nerve cells or neurons. The application of ANN to food process engineering is …

Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …

The main purpose of this study was to develop and apply an adaptive neuro-fuzzy inference
system (ANFIS) and Artificial Neural Networks (ANNs) model for predicting the drying …

Antimicrobial edible coatings containing natural herbal extracts and essential oil possess
various benefits and are currently used to design novel active biodegradable packaging. In …

Abstract This study applied Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the
moisture ratio (MR) during the drying process of yam slices (Dioscorea rotundata) in a hot air …

This study aimed to predict the drying kinetics, energy utilization (Eu), energy utilization ratio
(EUR), exergy loss, and exergy efficiency of quince slice in a hot air (HA) dryer using …