Abstract Human Skin cancer is commonly detected visually through clinical screening followed by a dermoscopic examination. However, automated skin lesion classification remains challenging due to the visual similarities between benign and melanoma lesions. In this work, authors proposed new Artificial Intelligence-Based method classify method, we used Residual Deep Convolution Neural Network. W...

Recent advances in both computational hardware and multidisciplinary science have given rise to an unprecedented level of complexity in scientific simulation software. This paper describes an ongoing grass roots effort aimed at addressing complexity in high-performance computing through the use of Component-Based Software Engineering (CBSE). Highlights of the benefits and accomplishments of the...

The purpose of this research is to determine the total factor productivity (TFP) Indonesia's micro and small-scale manufacturing industries. production function estimation approach established by Levinsohn-Petrin as basis for computing TFP employed in study, with value added dependent variable labor costs capital proxied investment independent variables. This study uses secondary data from Cent...

We proposed a two stage framework with only one network to analyze skin lesion images, we firstly trained a convolutional network to classify these images, and cropped the import regions which the network has the maximum activation value. In the second stage, we retrained this CNN with the image regions extracted from stage one and output the final probabilities. The two stage framework achieve...

This paper aims to provide the first investigation of the productivity effect of outsourcing by using the Korean industry data at the three-digit ISIC level. We find that there are positive productivity gains from material outsourcing. The impact of material outsourcing increases when we account for the share of imports from China. This is due to the growth of Chinese exports to Korea over the ...

waves in single crystalline silicon K.-D. Liss, T. d’Almeida, M. Kaiser, R. Hock, A. Magerl, and J. F. Eloy The Bragg Institute, Australian Nuclear Science and Technology Organisation, Private Mail Bag 1, Menai, New South Wales 2234, Australia Department of Physics, Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE, United Kingdom Swiss Light Source, Paul-Sc...

The prevalence of melanoma skin cancer has increased in recent decades. greatest risk from is its ability to broadly spread throughout the body by means lymphatic vessels and veins. Thus, early diagnosis a key factor improving prognosis disease. Deep learning makes it possible design develop intelligent systems that can be used detecting classifying lesions visible-light images. Such provide ac...