|
|
|
|
|
Laurent Risser, Agustin Martin Picard, Lucas Hervier and Jean-Michel Loubes
The problem of algorithmic bias in machine learning has recently gained a lot of attention due to its potentially strong impact on our societies. In much the same manner, algorithmic biases can alter industrial and safety-critical machine learning applic...
ver más
|
|
|
|
|
|
|
|
|
Seon-Deok Kim and Cherl-O Bae
With the rapid advances in science and technology, ships that do not require any crew on board (i.e., autonomous ships) are being actively researched. Several studies on unmanned ships are in progress, and unmanned engine room studies are also being cond...
ver más
|
|
|
|
|
|
|
|
|
Zhipeng Du, Qinan Chen, Cong Guan and Hui Chen
Advances in power and propulsion and energy management improvements can significantly contribute to reducing emissions. The International Maritime Organization (IMO) Marpol regulations impose increasingly stringent restrictions on ship?s emission. Accord...
ver más
|
|
|
|
|
|
|
|
|
Alessandro Massaro
This review will focus on advances in electronic and optoelectronic technologies by through the analysis of a full research and industrial application scenario. Starting with the analysis of nanocomposite sensors, and electronic/optoelectronic/mechatroni...
ver más
|
|
|
|
|
|
|
|
|
Victoria Pulido-Escribano, Bárbara Torrecillas-Baena, Gabriel Dorado, María Ángeles Gálvez-Moreno, Marta Camacho-Cardenosa and Antonio Casado-Díaz
Hard-to-heal chronic wounds associated with aging and high-prevalence pathologies, such as diabetes, are a global health problem. Therefore, it is necessary to advance effective treatments to accelerate wound healing. Among these potential treatments are...
ver más
|
|
|
|