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Evolution of gene expression levels in the male reproductive organs of Anopheles mosquitoes (2019)
Journal Article
Izquierdo, A., Fahrenberger, M., Persampieri, T., Benedict, M. Q., Giles, T., Catteruccia, F., …Dottorini, T. (2019). Evolution of gene expression levels in the male reproductive organs of Anopheles mosquitoes. Life Science Alliance, 2(1), doi:10.26508/lsa.201800191

Modifications in gene expression determine many of the phenotypic differentiations between closely related species. This is particularly evident in reproductive tissues, where evolution of genes is more rapid, facilitating the appearance of distinct... Read More about Evolution of gene expression levels in the male reproductive organs of Anopheles mosquitoes.

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom (2018)
Journal Article
Figueredo, G. P., Agrawal, U., Mase, J., Mesgarpour, M., Wagner, C., Soria, D., …John, R. (2019). Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems, 20(9), 3324-3336. doi:10.1109/TITS.2018.2875343

Although driving behaviour has been largely studied amongst private motor vehicles drivers, the literature addressing heavy goods vehicle (HGV) drivers is scarce. Identifying the existing groups of driving stereotypes and their proportions enables re... Read More about Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom.

Deep learning approaches to aircraft maintenance, repair and overhaul: a review (2018)
Conference Proceeding
Rengasami, D., Morvan, H., & Patrocinio Figueredo, G. (2018). Deep learning approaches to aircraft maintenance, repair and overhaul: a review. In 21st IEEE International Conference on Intelligent Transportation Systems

The use of sensor technology constantly gathering aircrafts' status data has promoted the rapid development of data-driven solutions in aerospace engineering. These methods assist, for instance, with determining appropriate actions for aircraft maint... Read More about Deep learning approaches to aircraft maintenance, repair and overhaul: a review.