Infection in apple leaves is typically brought on by unanticipated weather conditions such as
rain, hailstorms, draughts, and fog. As a direct consequence of this, the farmers suffer a …

Interferometric Synthetic Aperture (InSAR) time series measurements are widely used to
monitor a variety of processes including subsidence, landslides, and volcanic activity …

In 2019, we faced a pandemic due to the coronavirus disease (COVID-19), with millions of
confirmed cases and reported deaths. Even in recovered patients, symptoms can be …

Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence
and Machine Learning world. Therefore, a lot of effort has been pushed into Big Data …

The exponential growth in data generation has become a ubiquitous phenomenon in today's
rapidly growing digital technology. Technological advances and the number of connected …

With the rapid development of electronic science and technology, the research on wearable
devices is constantly updated. Still, the current wearable devices are not yet comprehensive …

This paper presents an intelligent healthcare framework by incorporating modern computing
technologies like machine learning and deep learning. The sole motivation of this paper is to …

Change detection is of fundamental importance when analyzing data streams. Detecting
changes both quickly and accurately enables monitoring and prediction systems to react, eg …

Abstract The Internet of Things (IoT), an enlarged Internet-based network, is a key element of
the next information technology revolution. With the evolution of numerous IoT based smart …

The Serverless architecture is a cloud-native development paradigm that allows developers
to build and run programs. Servers are still there in serverless, but they are not involved in …