ABSTRACT Medical images taken with mobile phones by patients, i.e. medical selfies, allow screening, monitoring, and diagnosis of skin lesions. While mobile teledermatology can provide good diagnostic accuracy for skin […]
Medical Selfies: Emotional Impacts and Practical Challenges Read More »
Abstract This article introduces a time-domain-based artificial intelligence (AI) radar system for gesture recognition using 33-GS/s direct sampling technique. High-speed sampling using a time-extension method allows AI learning to be
Abstract As it is known, in today’s world gross domestic product (GDP) determines the prosperity of a nation. Agriculture directly adds to the GDP, subsequently, incredible endeavors are to be
Classification of Grape Leaves using KNN and SVM Classifiers Read More »
Abstract Rotating machinery fault diagnosis problems have been well-addressed when sufficient supervised data of the tested machine are available using the latest data-driven methods. However, it is still challenging to
Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning Read More »
Abstract Machine learning has been pervasively used in a wide range of applications due to its technical breakthroughs in recent years. It has demonstrated significant success in dealing with various
Machine Learning Security: Threats, Countermeasures, and Evaluations Read More »
Abstract The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are
The impact of artificial intelligence in medicine on the future role of the physician Read More »
Abstract Optimizing the hyper-parameters of a multi-layer perceptron (MLP) artificial neural network (ANN) is not a trivial task, and even today the trial-and-error approach is widely used. Many works have
Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm Read More »
Abstract Feedforward neural network (FNN) is an information processing system that simulates human brain function to a certain extent by referring to the structure of a biological neural network and
Abstract Local feature extraction is one of the most im-portant tasks to build robust video representation in humanaction recognition. Recent advances in computing visual features,especially deep-learned features, have achieved excellent
Distributed Feature Extraction on Apache Spark for Human Action Recognition Read More »
Abstract With the explosive increase of big data, it is necessary to apply large-scale data processing systems to analyze Big Data. Arguably, Spark is state of the art in large-scale
