Prasad KDV Yarlagadda

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	Wszystkie	Od 2017
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YuanTong Gu (Y.T. Gu)Professor of Mechanical Engineering, Queensland University of TechnologyZweryfikowany adres z qut.edu.au
Clinton FookesQueensland University of TechnologyZweryfikowany adres z qut.edu.au
Dr Azharul KarimAssociate Professor, Queensland University of TechnologyZweryfikowany adres z qut.edu.au
Vamsi Krishna MadasuSystra Scott ListerZweryfikowany adres z systra.com
Michael SchuetzQueensland University of TechnologyZweryfikowany adres z qut.edu.au
Dr Tuquabo TesfamichaelSenior Lecturer, Queensland University of TechnologyZweryfikowany adres z qut.edu.au
Arnold WiliemPrincipal Engineer in Deep Learning, Sentient Vision Systems; Adjunct Senior Fellow, UQZweryfikowany adres z uq.edu.au
Maryam ShirmohammadiUniversity of South AustraliaZweryfikowany adres z unisa.edu.au
Adekunle OloyedeQueensland University of TechnologyZweryfikowany adres z qut.edu.au
Anna Charisse FarrQueensland University of TechnologyZweryfikowany adres z qut.edu.au
Dr. Suvash C. Saha (সুভাষ চন্দ্র সাহা)Senior Lecturer at the University of Technology SydneyZweryfikowany adres z uts.edu.au
Ian W TurnerProfessor of Computational MathematicsZweryfikowany adres z qut.edu.au
Zenon PawlakProfessor of Biotribiology, University of Economy, Bydgoszcz, PLZweryfikowany adres z xmission.com
Dr Manab Kumar DasProfessor, Indian Institute of Technology KharagpurZweryfikowany adres z mech.iitkgp.ac.in
Dr. Ismet P. Ilyas, M.Eng.Sc.Design Engineering Department, Politeknik Manufaktur (POLMAN) BandungZweryfikowany adres z polman-bandung.ac.id
Ayodele Oladimeji OlofinjanaSchool of Science and Engineering, University of The Sunshine CoastZweryfikowany adres z usc.edu.au
Clayton AdamQueensland University of TechnologyZweryfikowany adres z qut.edu.au
Taizan ChanDirector of Research and Education Analytics, National University of SingaporeZweryfikowany adres z nus.edu.sg
Sheila DevasahayamLecturerZweryfikowany adres z federation.edu.au
Bambang TrigunarsyahRMIT UniversityZweryfikowany adres z rmit.edu.au

Obserwuj

Prasad KDV Yarlagadda

Professor in Smart Systems, Queensland University of Technology

Zweryfikowany adres z qut.edu.au - Strona główna

AI Applications in Manufacturing Rapid prototyping and rapid toolings welding automation biomedical scaffolding modelling an


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Bacterial adherence and biofilm formation on medical implants: a review S Veerachamy, T Yarlagadda, G Manivasagam, PKDV Yarlagadda Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2014	388	2014
A review on degradation models in reliability analysis N Gorjian, L Ma, M Mittinty, P Yarlagadda, Y Sun Engineering asset lifecycle management, 369-384, 2010	296	2010
Processing maps and rate controlling mechanisms of hot deformation of electrolytic tough pitch copper in the temperature range 300–950 C Y Prasad, KP Rao Materials Science and Engineering: A 391 (1-2), 141-150, 2005	262	2005
Recent advances and current developments in tissue scaffolding PKDV Yarlagadda, M Chandrasekharan, JYM Shyan Bio-medical materials and engineering 15 (3), 159-177, 2005	237	2005
Bio-mimicking nano and micro-structured surface fabrication for antibacterial properties in medical implants A Jaggessar, H Shahali, A Mathew, PKDV Yarlagadda Journal of nanobiotechnology 15 (1), 1-20, 2017	233	2017
Meeting challenges in welding of aluminum alloys through pulse gas metal arc welding P Praveen, P Yarlagadda Journal of Materials Processing Technology 164, 1106-1112, 2005	169	2005
Advancements in pulse gas metal arc welding P Praveen, P Yarlagadda, MJ Kang Journal of Materials Processing Technology 164, 1113-1119, 2005	143	2005
Wayfinding: A simple concept, a complex process AC Farr, T Kleinschmidt, P Yarlagadda, K Mengersen Transport Reviews 32 (6), 715-743, 2012	136	2012
Digital manufacturing-applications past, current, and future trends PK Paritala, S Manchikatla, PKDV Yarlagadda Procedia engineering 174, 982-991, 2017	133	2017
Neural network approach to flow stress evaluation in hot deformation KP Rao, Y Prasad Journal of Materials Processing Technology 53 (3-4), 552-566, 1995	111	1995
A study on prediction of bead height in robotic arc welding using a neural network IS Kim, JS Son, CE Park, CW Lee, YKDV Prasad Journal of Materials Processing Technology 130, 229-234, 2002	108	2002
Design and development of automatic visual inspection system for PCB manufacturing NSS Mar, P Yarlagadda, C Fookes Robotics and computer-integrated manufacturing 27 (5), 949-962, 2011	107	2011
Effect of homogenization on the hot deformation behavior of cast AZ31 magnesium alloy Y Prasad, KP Rao Materials & Design 30 (9), 3723-3730, 2009	107	2009
Hot workability and deformation mechanisms in Mg/nano–Al2O3 composite Y Prasad, KP Rao, M Gupta Composites Science and Technology 69 (7-8), 1070-1076, 2009	101	2009
Optimal design of neural networks for control in robotic arc welding IS Kim, JS Son, SH Lee, PKDV Yarlagadda Robotics and computer-integrated manufacturing 20 (1), 57-63, 2004	97	2004
Time‐dependent fractional advection–diffusion equations by an implicit MLS meshless method P Zhuang, YT Gu, F Liu, I Turner, P Yarlagadda International Journal for Numerical Methods in Engineering 88 (13), 1346-1362, 2011	91	2011
Statistical analysis on accuracy of wax patterns used in investment casting process PKDV Yarlagadda, TS Hock Journal of materials processing technology 138 (1-3), 75-81, 2003	85	2003
Effect of crystallographic texture on the kinetics of hot deformation of rolled Mg–3Al–1Zn alloy plate Y Prasad, KP Rao Materials Science and Engineering: A 432 (1-2), 170-177, 2006	83	2006
A neural network system for the prediction of process parameters in pressure die casting PKDV Yarlagadda, ECW Chiang Journal of Materials Processing Technology 89, 583-590, 1999	83	1999
A review on reliability models with covariates N Gorjian, L Ma, M Mittinty, P Yarlagadda, Y Sun Engineering Asset Lifecycle Management, 385-397, 2010	80	2010

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