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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Number of items: 10.

Haeri, Sina and Haeri, Soroush and Hanson, Jack and Lotfian, Saeid (2020) Analysis of radiation pressure and aerodynamic forces acting on powder grains in powder-based additive manufacturing. Powder Technology, 368. pp. 125-129. ISSN 0032-5910

Ottoboni, S. and Šimurda, M. and Wilson, S. and Irvine, A. and Ramsay, F. and Price, C.J. (2020) Understanding effect of filtration and washing on dried product : paracetamol case study. Powder Technology, 366. pp. 305-323. ISSN 0032-5910

Haeri, S. and Benedetti, L. and Ghita, O. (2020) Effects of particle elongation on the binary coalescence dynamics of powder grains for Laser sintering applications. Powder Technology, 363. pp. 245-255. ISSN 0032-5910

Stranzinger, Sandra and Faulhammer, Eva and Li, Jingyi and Dong, Runqiao and Khinast, Johannes G. and Zeitler, J. Axel and Markl, Daniel (2019) Measuring bulk density variations in a moving powder bed via terahertz in-line sensing. Powder Technology, 344. pp. 152-160. ISSN 0032-5910

Lappa, M. and Esposito, A. and Aponte, F. and Allouis, C. (2019) High velocity infrared thermography and numerical trajectories of solid particles in compressible gas flow. Powder Technology, 343. pp. 671-682. ISSN 0032-5910

Haeri, Sina (2017) Optimisation of blade type spreaders for powder bed preparation in additive manufacturing using DEM simulations. Powder Technology, 321. pp. 94-104. ISSN 0032-5910

Haeri, S. and Wang, Y. and Ghita, O. and Sun, J. (2016) Discrete element simulation and experimental study of powder spreading process in additive manufacturing. Powder Technology, 306. 45–54. ISSN 0032-5910

Bertola, Volfango and Haw, Mark D. (2015) Impact of concentrated colloidal suspension drops on solid surfaces. Powder Technology, 270 (Part B). pp. 412-417. ISSN 0032-5910

Waldner, M H and Sefcik, J and Soos, M and Morbidelli, M (2005) Initial growth kinetics and structure of colloidal aggregates in a turbulent coagulator. Powder Technology, 156 (2-3). pp. 226-234. ISSN 0032-5910

Andres, U. and Timoshkin, I. and Jirestig, J. and Stallknecht, H. (2001) Liberation of valuable inclusions in ores and slags by electrical pulses. Powder Technology, 114 (1). pp. 40-50. ISSN 0032-5910

This list was generated on Sat Aug 8 13:26:19 2020 BST.