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Grayson R. Morgan, Cuizhen Wang, Zhenlong Li, Steven R. Schill and Daniel R. Morgan
Deep learning techniques are increasingly being recognized as effective image classifiers. Aside from their successful performance in past studies, the accuracies have varied in complex environments, in comparison with the popularly of applied machine le...
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Dr. Kauser Hayat,Dr. Amir Nadeem,Dr. Shahid Jan,Dr. Fayaz Ali Shah,Wahid Raza
Pág. 105 - 113
The current research work is aim to achieve a better understanding of the corporate sector and their adaptation of green strategies in their production and decisions; related to firm performance. This is an effort to check the effects of green marketing ...
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Julie Latomme, Vicky Van Stappen, Greet Cardon, Philip J. Morgan, Mina Lateva, Nevena Chakarova, Jemina Kivelä, Jaana Lindström, Odysseas Androutsos, Esther M. González-Gil, Pilar De Miguel-Etayo, Anna Nánási, László R. Kolozsvári, Yannis Manios and Marieke De Craemer
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Benny Suryanto,R. Morgan,A.L. Han
Pág. 16 - 24
This study investigates the accuracy of Response-2000 in predicting the response of shear-critical reinforced concrete beams. The experimental data selected was that obtained by Vecchio and Shim in 2004 on twelve reinforced concrete beams which sought to...
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Anita R. Morgan, Cori Burnside
Recent cases provide insight into the role that an unethical corporate culture plays in financial statement fraud. The case of financial statement fraud in Olympus Corporation, a Japanese firm, provides the opportunity to examine how national culture pla...
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Sean A. Hayes, Chad V. Hanson, Devon E. Pearse, Morgan H. Bond, John Carlos Garza & R. Bruce MacFarlane
Pág. 772 - 780
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W. Bottje, A. Wolfenden, L. Ding, R. Wolfenden, M. Morgan, N. Pumford, K. Lassiter, G. Duncan, T. Smith, T. Slagle, and B. Hargis
Pág. 2646 - 2650
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Omar R. Harvey and Cristine L. S. Morgan
Pág. 164 - 169
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Kelly T. Morgan, T. Adair Wheaton, William S. Castle, and Laurence R. Parsons
Pág. 145 - 150
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Michael R. Baye and John Morgan
Pág. 1139 - 1151
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