This paper presents a novel approach to distinguishing driving styles with respect to their energy efficiency.A distinct property of our method is that it relies exclusively on the global positioning system (GPS) logs of drivers.This setting is highly relevant in practice as these data can easily be acquired.Relying on positional data alone means t
Investigations of the frequency of bending vibrations of the car bodies of 61-4440 model range, which includes compartment cars, staff cars, non-compartment cars, coach cars, restaurant cars and others, are described.The bodies of all cars of this model range have the same overall dimensions and are made of corrosionresistant steels (stainless) wit
As a result of climate change, climatic extremes are expected to increase.For high-value crops Stock Saddle like vegetables, irrigation is a potentially economically viable adaptation measure in western Europe.To optimally schedule irrigation, decision support systems based on crop models like AquaCrop are increasingly used by farmers.High value ve
Plant infection by pathogenic fungi involves the differentiation of appressoria, specialized infection structures, initiated by fungal sensing and responding to plant surface signals.How plant fungal pathogens control infection-related morphogenesis in response to plant-derived signals has been unclear.Here we showed that the morphogenesis-related
Among cartographic generalisation problems, the generalisation of sinuous bends in mountain roads has always been a popular one due to its difficulty.Recent research showed the potential of deep learning techniques to overcome some remaining research Stock Saddle problems regarding the automation of cartographic generalisation.This paper explores t