Soft sensors are mathematical models employed to estimate hard-to-measure variables from
available easy-to-measure variables. These sensors are typically developed using either …

In the rapidly evolving landscape of electrochemical energy storage (EES), the advent of
artificial intelligence (AI) has emerged as a keystone for innovation in material design …

Face recognition need is fine assured as enormous industrial relevance use them to
implement one or another objective. As the programmes move closer to everyday usage to …

Electrocardiography (ECG) is a non-invasive test that is used for recording contraction and
relaxation activities of the heart by using an electrocardiogram. Early detection of …

Respiratory symptoms can be caused by different underlying conditions, and are often
caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the …

We introduce jet topics: a framework to identify underlying classes of jets from collider data.
Because of a close mathematical relationship between distributions of observables in jets …

Feature (gene) selection and classification of microarray data are the two most interesting
machine learning challenges. In the present work two existing feature selection/extraction …

Driver fatigue can be detected by constructing a discriminant mode using some features
obtained from physiological signals. There exist two major challenges of this kind of …

Reliable measures of statistical dependence could be useful tools for learning independent
features and performing tasks like source separation using Independent Component …

Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …