A Deep Learning Framework for Signal Detection and Modulation Classification

Melanoma detection with a deep learning model

Background: Skin cancer is one of the most common forms of cancer in the world and melanoma is the deadliest type of skin cancer. Both melanoma and melanocytic nevi begin in melanocytes (cells that produce melanin). However, melanocytic nevi are benign whereas melanoma is malignant. This work proposes a deep learning model for classification of these two lesions.    Methods: In this analytic s...

a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran

the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...

DL4MD: A Deep Learning Framework for Intelligent Malware Detection

In the Internet-age, malware poses a serious and evolving threat to security, making the detection of malware of utmost concern. Many research efforts have been conducted on intelligent malware detection by applying data mining and machine learning techniques. Though great results have been obtained with these methods, most of them are built on shallow learning architectures, which are still so...

A Unified Learning Framework for Real Time Face Detection & Classification

This paper presents progress toward an integrated face detection and demographic analysis system that is robust and works in real-time. Faces are detected and extracted using the very fast algorithm recently proposed by Viola & Jones. Detected faces are passed to a novel demographics classifier which uses the same architecture as the face detector. This demographic classifier is extremely fast,...

Signal Detection and Modulation Classification in Non-Gaussian Noise Environments