Abstract Social Networking Services (SNSs) connect people worldwide, where they
communicate through sharing contents, photos, videos, posting their first-hand opinions …

Machine learning models are used today to solve problems within a broad span of
disciplines. If the proper hyperparameter tuning of a machine learning classifier is …

In recent times, the Internet of Medical Things (IoMT) is a new loomed technology, which has
been deliberated as a promising technology designed for various and broadly connected …

In the context of big data, many scientific communities aim to provide efficient approaches to
accommodate large-scale datasets. This is the case of the machine-learning community …

Machine learning models are used today to solve problems within a broad span of
disciplines. If the proper hyperparameter tuning of a machine learning classifier is …

Virtual voice assistants have become ubiquitous in our modern lives and continue to evolve.
With the proliferation of virtual assistants such as Alexa, Cortana, and Siri in households, it is …

This paper presents a study to properly parameterize the Genetic Algorithm (GA) in a way to
increase its performance. Parameterization is a crucial phase before any use for problem …

Purpose The purpose of this paper is to enhance the accuracy of classification of streaming
big data sets with lesser processing time. This kind of social analytics would contribute to …

In the modern world, a better healthcare system is the main challenge for the growing
population of the world. e vision of the Internet of Medical ings (IoMT) is to provide a better …

Makine öğrenimi, bilgisayarların verileri inceleyerek karmaşık örüntüleri algılayıp akılcı
kararlar vermelerini sağlayan algoritmaların tasarımı ve geliştirme sürecini inceleyen bir …