The purpose of our systematic review was to inspect the recently published research on
Internet of Robotic Things (IoRT) and harmonize the assimilations it articulates on remote …

Medical image analysis using deep neural networks (DNN) has demonstrated state-of-the-
art performance in image classification and segmentation tasks, aiding disease diagnosis …

This study aims to explore a demoethical model for sustainable development in modern
society. It proposes an approach that focuses on organizing activities to improve sustainable …

Big data is a rapidly growing field, and new developments are constantly emerging to
address various challenges. One such development is the use of federated learning for …

Federated learning (FL) is one of the leading paradigms of modern times with higher privacy
guarantees than any other digital solution. Since its inception in 2016, FL has been …

Federated learning presents a promising approach for preparing machine learning models
while protecting information protection in cloud computing situations. This investigation …

Lung and colon cancers are common types of cancer with significant fatality rates. Early
identification considerably improves the odds of survival for those suffering from these …

Data pricing, which aids in articulating the worth and advantages of data and encourages its
opening, sharing, and circulation, is an indispensable component of data trading. Studies …

Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …

Abstract The concept of Federated Learning (FL), which is vital to the development of
machine learning, has emerged as a convergence of machine learning, information, and …