AN EXPLORATORY STUDY ON CORPORATE GOVERNANCE FROM NEURO-GOVERNANCE LENSES IN THE MALAYSIAN CONTEXT


GENERATIVE ADVERSARIAL NETWORKS AS A NOVEL APPROACH FOR TECTONIC FAULT AND FRACTURE EXTRACTION IN HIGH-RESOLUTION SATELLITE AND AIRBORNE OPTICAL IMAGES

We develop a novel method based on Deep Convolutional Networks (DCN) to automate the identification and mapping of fracture and fault traces in optical images.The method employs two DCNs in a two players game: a first network, called Generator, learns to segment images to make them resembling the ground truth; a second network, called Discriminator

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Measuring Effective Tax Rates for Oil and Gas in Canada

The purpose of this report is to provide cost of capital formulae for assessing the effects of taxation on the incentive to invest in oil and gas industries in Rubber Foot Pad Canada.The analysis is based on the assumption that businesses invest in capital until the after-tax rate of return on capital is equal to the tax-adjusted cost of capital.Th

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