There are two viable options to produce shrimp shells as by-product waste, either within the
shrimp production phases or when the shrimp are peeled before cooking by the end user …

Traditional statistical, physical, and correlation models for chaotic time series prediction
have problems, such as low forecasting accuracy, computational time, and difficulty …

A novel hybrid Harris Hawk-Arithmetic Optimization Algorithm (HHAOA) for optimizing the
Industrial Wireless Mesh Networks (WMNs) and real-time pressure process control was …

there are numerous distinct strategies and techniques that fall under the huge class of
neural network-primarily based deep gaining knowledge of in device getting to know. those …

The effects of a hybrid nanofluid (Cu‐Al layered double hydroxide (LDH)) on the CO2
hydrate formation kinetics was investigated at three different nanofluid concentrations (0.25 …

The paper covers the problem of determination of defects and contamination in malting
barley grains. The analysis of the problem indicated that although several attempts have …

There are a number of Activation Functions (AFs) present in the neural network. Among
them, the hyperbolic tangent (TanH) and log sigmoid are commonly used AFs. The TanH AF …

Rowen's Model is an established physical model which successfully represents the dynamic
behavior of gas turbines. In recent years, this model has been widely developed using …

Wind energy is a type of renewable energy that has received much attention in the electricity
market. This study focuses on forecasting wind speed at Malacca state's Station. This paper …

The difficulty and high price of measuring devices make the utilization of solar energy
impractical, particularly in develo** countries like Ethiopia. Because of its variability and …