There have been remarkable changes in our lives and the way we perceive the world with
advances in computing technology. Healthcare sector is evolving with the intervention of the …

In this work, the modification of the probabilistic neural network (PNN) is proposed. The
traditional network is adjusted by introducing the weight coefficients between pattern and …

In order to decrease computation loads for path following control of autonomous ground
vehicles (AGVs), in this article, we aim to design an output-feedback path following controller …

This research work introduces a new hybrid technique called quasi‐Newton back‐
propagation based i cosϕ control algorithm. Its structure is constructed on the concept of …

In instance-based machine learning, algorithms often suffer from storing large numbers of
training instances. This results in large computer memory usage, long response time, and …

Background In the field of microbial fermentation technology, how to optimize the
fermentation conditions is of great crucial for practical applications. Here, we use artificial …

In this letter, a hybrid translation computation method for the multilevel fast multipole
algorithm (MLFMA) is proposed based on machine learning. The hybrid method combines …

We investigate nonlinear regression for nonstationary sequential data. In most real-life
applications such as business domains including finance, retail, energy, and economy, time …

Nowadays, computational intelligence (CI) receives much attention in academic and
industry due to a plethora of possible applications. CI includes fuzzy logic (FL), evolutionary …

In this paper, a novel singular value decomposition (SVD) based color image watermarking
scheme is proposed. Each color image block is processed by converting it into the two …