A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …

Soft clustering is able to handle overlap** data thanks to membership functions that allow
examples to belong to several clusters. However, the formula linking membership functions …

Recently, with the presence of a lot of information and the emergence of many programs,
sites and companies that provide items to customers like Amazon for products or Netflix for …

The exploitation of social media (forums, blogs and social networks) has become crucial due
to the explosive growth of textual data from these new sources of information. Our work …

The representation of the information has an important impact on the text classification task.
Several weighting methods were proposed in the literature, and the term frequency-inverse …

In view of the problem that Hopfield neural network is easy to fall into local minimum, this
paper proposes a modified Hopfield neural network to overcome this problem. By adjusting …

One of important functions of remote sensing data is producing the land-use/land-cover
maps. Image classification is one of important applications for remote sensing imaginary …

The major problem facing users of Hopfield neural networks is the automatic choice of
hyperparameters depending on the optimisation problem. This work introduces an automatic …

Thanks to Automatic Speech Recognition (ASR), a lot of machines can nowadays emulate
human being ability to understand and speak natural language. However, ASR problematic …

Over the past few decades, extensive death of women due to breast cancer has precipitated
the need for the best classification of breast cancer. Classification of breast cancer can help …