Many cloud-based applications employ a data centers as a central server to process data
that is generated by edge devices, such as smartphones, tablets and wearables. This model …

Advanced manufacturing depends on the timely acquisition, distribution, and utilization of
information from machines and processes across spatial boundaries. These activities can …

Google Colaboratory (also known as Colab) is a cloud service based on Jupyter Notebooks
for disseminating machine learning education and research. It provides a runtime fully …

This chapter explores the role of AI and machine learning (ML) in image processing,
focusing on their applications. It covers AI techniques like supervised learning, unsupervised …

Cloud computing is revolutionizing the IT industry by enabling them to offer access to their
infrastructure and application services on a subscription basis. As a result, several …

Large‐scale scientific problems are often modeled as workflows. The ever‐growing data
and compute requirements of these applications has led to extensive research on how to …

To improve the efficiency of big data feature learning, the paper proposes a privacy
preserving deep computation model by offloading the expensive operations to the cloud …

Cloud can be defined as a new computing paradigm that provides scalable, on-demand,
and virtualized resources for users. In this style of computing, users can access a shared …

We present a descriptive literature review and classification scheme for cloud computing
research. This includes 205 refereed journal articles published since the inception of cloud …

To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …