This work reviews recent trends in the modeling of cellulose hydrolysis, within the
perspective of application of kinetic models in a bioreactor engineering framework, including …

Improving operational performance and reducing fuel consumption is increasingly important
for shipping companies. Ship performance degrades over time due to hull and propeller …

Abstract Fuzzy Cognitive Maps (FCM) are Recurrent Neural Networks that are used for
modeling complex dynamical systems using causal relations. Similarly to other recurrent …

Spotted hyena optimizer (SHO) is a novel metaheuristic optimization algorithm based on the
behavior of spotted hyena and their collaborative behavior in nature. In this paper, we …

This work presents a kinetic study of the enzymatic hydrolysis of three cellulosic substrates:
filter paper (FP), used as a low recalcitrance substrate model; steam exploded sugarcane …

The classification of pollen grains using texture information in combination with shape
features is presented in this paper. The surface texture of pollen is characterised by using …

Training of feed-forward neural-networks (FNN) is a challenging nonlinear task in
supervised learning systems. Further, derivative learning-based methods are frequently …

Abstract The Harris Hawks Optimization Algorithm is a new metaheuristic optimization that
simulates the process of Harris Hawk hunting prey (rabbit) in nature. The global and local …

Analog VLSI on-chip learning Neural Networks represent a mature technology for a large
number of applications involving industrial as well as consumer appliances. This is …

The abundant quantities of impurities resulting from the production of phosphoric acid by
dihydrate process promotes fouling in the heat exchanger which is manifested by quick …