Artificial Intelligence (AI) techniques have evolved into practical, fast and effective tools in
combination with detecting devices for quality assessment, particularly in adulteration and …

Due to escalating food demand in tandem with the growing global population over the past
few decades, artificial intelligence (AI) has been implemented into food business. The ability …

Fresh fruits and vegetables are characterized by high water content, perishability and strong
seasonality. In the process of supply chain, it is easy to lead to the decrease of freshness …

The food industry is a significant contributor to carbon emissions, impacting carbon footprint
(CF), specifically during the heat drying process. Conventional heat drying processes need …

In this work, five different models of the artificial neural networks (ANNs) called feedforward,
cascadeforward, timedelay, layrec and narx were used for IFT prediction as a function of …

One main point distinguishing Marketing 4.0 from other marketing approaches is the
“customer”. Marketing 4.0 focuses on “act” and “advocacy” within the 5A (aware, appeal, ask …

Adapting the user's cultural background to Interface Design (ID) can increase student
engagement in e-learning. The cultural dimensions of Hofstede's model have often been …

Canned food market demand has arisen due to the higher need for instant and ready-to-eat
food. Food preservatives are often added to canned and processed foods to prolong their …

The implementation of deep learning algorithms has contributed to various applications
related to the detection of fruit quality. The quality attributes of fruit such as total soluble …

In the present study, a potential fungal strain (Zasmidiumcellare CBS 146.36) was isolated to
efficiently produce a cocktail of enzymes critical for hydrolysis of lignocellulosic biomass …