ABSTRACT Visual as-the-crow-flies (ATCF) methods are an increasingly popular alternative to existing turn-by-turn (TBT) navigation for cyclists. To better understand how people use them in everyday navigation and how they […]
ABSTRACT HCI researchers have established a number of evidence-based design recommendations for children’s touchscreen interfaces based on developmental appropriateness. Yet, these recommendations are scattered within the academic literature and lack
ABSTRACT Feature-rich applications such as word processors and spreadsheets are not only being used by adults but increasingly by children and older adults as well. Learning these applications is challenging
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 The teaching of artificial intelligence (AI) topics in school curricula is an important global strategic initiative in educating the next generation. As AI technologies are new to K-12 schools,
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 Pedagogical agents are typically designed to take on a single role: either as a tutor who guides and instructs the student or as a tutee that learns from the
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 »
