Skin cancer is the most common form of affecting humans. Melanoma dangerous type skin cancer; and early diagnosis extremely vital in curing disease. So far, human knowledge this field very limited, thus, developing a mechanism capable identifying disease on can save lives, reduce intervention cut unnecessary costs. In paper, researchers developed new learning technique to classify lesions, with...

The objective of this paper is to analyze the impact real exchange rate (RER) on employment and wage using quarterly disaggregated data (ISIC Rev 4 classification) composed 19 industries in Turkey from 2010 2017. This study employed Fixed Effect Model, where industry-specific effects are used control heterogeneity within industry. results reflect that currency appreciation negatively affects em...

Abstract Skin cancer arises from the skin and is capable of invading other parts body. The earlier detection malignant lesions effectively helps cure disease prevents fatal cancer. As part AI, machine learning deep can learn characteristics input datasets perform classifications with high accuracy. In this paper, CNN, KNN, SVM models are implemented tested based on collected ISIC. idea implemen...

The goal of the research paper is to design and development a computer-based system for segmentation classification malignant skin diseases comparison between accuracy their detection, as two were detected. Namely, basal cell carcinoma melanoma separately with images nevus, collected from ISIC 2020 archive group, total, used: 17,846 include 3,008 (BCC), 5,272 melanoma, 9,566 validation data con...

Despite its paramount importance in the empirical growth literature, productivity convergence analysis has three problems that have yet to be resolved: (1) little attempt been made explore hierarchical structure of industry-level datasets; (2) technology heterogeneity largely ignored; and (3) cross-sectional dependence rarely allowed for. This paper aims address these within a panel data framew...

Skin cancer is one of the most severe diseases, and medical imaging among main tools for diagnosis. The images provide information on evolutionary stage, size, location tumor lesions. This paper focuses classification skin lesion considering a framework four experiments to analyze performance Convolutional Neural Networks (CNNs) in distinguishing different CNNs are based transfer learning, taki...