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Understanding flood risk in urban environments: Spatial analysis of building vulnerability and hazard areas in the Lisbon metropolitan area (2024)
Journal Article
Santos, P. P., Pereira, S., Zêzere, J. L., Reis, E., Oliveira, S. C., Garcia, R. A., & Ferreira, T. M. (in press). Understanding flood risk in urban environments: Spatial analysis of building vulnerability and hazard areas in the Lisbon metropolitan area. Natural Hazards, https://doi.org/10.1007/s11069-024-06731-wClimate change has brought about new risks while exacerbating existing ones, with floods now accounting for about 45% of global disasters. This trend indicates that the exposure to floods and resulting damages will continue to rise. This paper aims t... Read More about Understanding flood risk in urban environments: Spatial analysis of building vulnerability and hazard areas in the Lisbon metropolitan area.
Why reinforcement learning? (2024)
Journal Article
Aydin, M. E., Durgut, R., & Rakib, A. (2024). Why reinforcement learning?. Algorithms, 17(6), Article 269. https://doi.org/10.3390/a17060269The term Artificial Intelligence (AI) has come to be one of the most frequently expressed keywords around the globe. Machine learning (ML) continues to gain popularity in the provision of solutions to both industrial and everyday problems, and advanc... Read More about Why reinforcement learning?.
Using formal methods to model hybrid manufacturing processes (2011)
Conference Proceeding
Nassehi, A., Newman, S., Dhokia, V., Zhu, Z., & Asrai, R. I. (2011). Using formal methods to model hybrid manufacturing processes. In H. A. ElMaraghy (Ed.), Enabling Manufacturing Competitiveness and Economic Sustainability (52-56). https://doi.org/10.1007/978-3-642-23860-4_8The on-going industrial trend towards high value sustainable manufacturing has led to the emergence of hybrid manufacturing processes and resources. This new generation of processes and resources combine the capabilities of a number of older technolo... Read More about Using formal methods to model hybrid manufacturing processes.
An initial study of the effect of using liquid nitrogen coolant on the surface roughness of inconel 718 nickel-based alloy in CNC milling (2012)
Journal Article
Shokrani, A., Dhokia, V., Newman, S. T., & Imani-Asrai, R. (2012). An initial study of the effect of using liquid nitrogen coolant on the surface roughness of inconel 718 nickel-based alloy in CNC milling. Procedia CIRP, 3, 121-125. https://doi.org/10.1016/j.procir.2012.07.022The most used alloy of nickel, Inconel 718 is known to difficult to machine owing to its superior material and physical properties. This paper presents one of the very first studies on cryogenic CNC end milling of the Inconel 718 nickel based alloy u... Read More about An initial study of the effect of using liquid nitrogen coolant on the surface roughness of inconel 718 nickel-based alloy in CNC milling.
A surface roughness and power consumption analysis when slot milling austenitic stainless steel in a dry cutting environment (2013)
Conference Proceeding
Muñoz-Escalona, P., Shokrani, A., Dhokia, V., Imani-Asrai, R., & Newman, S. T. (2013). A surface roughness and power consumption analysis when slot milling austenitic stainless steel in a dry cutting environment. In A. Azevedo (Ed.), Advances in Sustainable and Competitive Manufacturing Systems (637-649). https://doi.org/10.1007/978-3-319-00557-7_53Engineered components must satisfy the surface texture requirements and traditionally surface roughness (arithmetic average, Ra) has been used as one of the principles methods to assess quality. Surface roughness is a result of the cutting parameters... Read More about A surface roughness and power consumption analysis when slot milling austenitic stainless steel in a dry cutting environment.