It is argued that the standard procedures to solve problems in physics particularly in the field of electrodynamics have in a tacit manner the actions of Machine Learning, such as the criteria of Tom Mitchell, (i) task, ...

As it is well known, the confirmation of albuminuria in diabetic patients requires of a test entirely different to blood-based tests. However, from the idea that the glucose dipoles can cancel the negative charges along ...

When the Keller-Segel equation is treated in a semiclassical scenario of electrodynamics involving Quantum Mechanics measurements, it is possible to implement the formalism of input-output in a nature manner without ...

Once constellation of satellites are working in a collaborative manner, the security of their messages would have to be highly secure from all angles of scenarios by which the praxis of eavesdropping constitutes a constant ...

A theory of virus infection in humans by using the Weiss’s approach is presented. For this end it was associated physical observables such as the distance and wind velocity. The model assumes random quantities from the ...

The goal of this paper is the presentation of the elementary procedures that normally are done in nonrelativistic Quantum Mechanics in terms of the principles of Machine Learning. In essence, this paper discusses Mitchell's ...

One of the most prominent techniques to search for new resonances and masses of elementary and composed particles is called the Dalitz’s plot [1][2]. The technique is used on the decays of up to three bodies. In this manner, ...

This paper focuses on the mathematical construction of a model that describes the statistical properties of a second wave of infections by Corona Virus Disease 2019 (Covid-19 in short) from the information of a first one. ...

In type-II diabetes patients, the renal damage can be triggered by the abundance of glucose for large periods. This leads a continuous flux of proteins through the inner kidneys layers that ends in the urine formation zone. ...

The accurate identification and characterization of microbiological species is a must that allows us to design engineered pharmacology to tackle down the diversity of diseases derived of them. This paper presents a study ...