ABSTRACT
This chapter presents an example of the use of optimization of Machine Learning techniques to improve the replenishment of fashion stocks for retailers. Textile companies are evolving with increasingly shorter seasons, having to continually change collections to offer customers new value-added products. The same importance has the digital transformation that is coming in factories, proposing Industry 4.0 models to transform them into digital factories that are accessible with investments for small- and medium-sized companies. Radiation degradation in components used for commercial devices is studied, evaluating the risk associated with these radiation environments. In addition, the importance of rail transport in the movement of people and goods is presented, with an automatic learning system that feeds on the information captured by techniques that will facilitate the conservation of this type of railway infrastructure. Finally, an application of Artificial Intelligence techniques is presented that improve analog image sensors in energy consumption, having an important use in the efficiency of semiconductors and nanoelectronics.
