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Malignant melanoma classification using deep learning: datasets, performance measurements, challenges and opportunities
(IEEE, 2020-06)
Melanoma remains the most harmful form of skin cancer. Convolutional neural network (CNN) based classifiers have become the best choice for melanoma detection in the recent era. The research has indicated that classifiers ...
Artificial intelligence applications in solid waste management: A systematic research review
(Pergamon, 2020-05)
The waste management processes typically involve numerous technical, climatic, environmental, demographic, socio-economic, and legislative parameters. Such complex nonlinear processes are challenging to model, predict and ...
Deep Learning Techniques for Automatic Modulation Classification: A Systematic Literature Review
(IEEE, 2020-11)
Implementation of Automatic modulation classification originated in the military field several years ago. Threat analysis, surveillance, and welfare where of great concern, thus this urged the importance to study the ...