Abstract The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized.The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological background, which we consider a barrier of entry for this kind of research.Additionally, model pe
This paper presents a new method of computing a minimal supervisory structure that optimally enforces liveness on the Petri net models for flexible manufacturing systems (FMSs).The proposed method utilizes the structural properties of a Petri net model to avoid the computation of its reachability graph, which in general leads to the state explosion
A wave energy converter (WEC) based on a Used Girdle direct mechanical drive system (DMDS) exhibits limited performance when the sea state stands for a short period.This study aims to increase the efficiency of a WEC-DMDS mechanical system applied under short-wave conditions.A novel WEC is designed by applying cascaded gear and reducing the flywhee
New generations of high-technology products are frequently launched before the previous model is sold out.Customers have an incentive to end the use of their old product and purchase a new one with the latest technological innovations.The unsold old models become less attractive, while the supply of remanufactured products from end-of-use products