Abstract: The current trend is E mobilitythe reason for it is to protect or save the environment. The success of $\mathbf{E}$ mobility depends on the two important components. First one is a battery ...
Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...
Abstract: This article compares the tuning of an inverted pendulum’s proportional-integral-derivative (PID) parameters using heuristic approaches. This study intends to develop an inverted pendulum ...
ABSTRACT: With the advent of the 5G and future 6G, base stations will be used as station controllers. The antenna systems are networked and equipped with a processor to optimize the detection of ...
More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...
Why does the COVID-19 virus make some people sicker than others? For years, scientists have looked to a critical piece of immune system machinery - known as the interferon pathway - for answers. There ...
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