The rapid industrial growth in solar energy is gaining increasing interest in renewable power
from smart grids and plants. Anomaly detection in photovoltaic (PV) systems is a demanding …

Modern systems and applications generate and consume an enormous amount of data from
different sources, including mobile edge computing and IoT systems. Our ability to locate …

We propose a framework that automatically transforms non-scalable GNNs into
precomputation-based GNNs which are efficient and scalable for large-scale graphs. The …

Although Deep Learning (DL) is revolutionising practices across fields, it requires a large
amount of data and computing resources, requires considerable training time, and is thus …

The rapidly shifting technology landscape has allowed organizations to acquire the benefits
of streamlined processes and cost-efficient operations. However, the availability of data from …

Abstract The dispersed Internet of Things (IoT) poses several security and privacy
challenges due to its architecture and fast, massive growth. The management of access is …

Serviços da nuvem oferecem facilidades computacionais bem estabelecidas. Na busca de
eficiência para executar aplicações do tipo MapReduce, que lidam com grandes …

Large value hidden in Big Data has motivated enterprises to transform from information
technology magnates to data technology magnates. Cloud computing and artificial …

The image objects retrieval modeling focused on discovering the images contained within
each document based on a specific “object” statistic. In this study, we introduce the potential …

In this age of rapid economic expansion and pervasive intelligence, intelligence collection
regarding a country's energy grid is encouraged. The article proposes a system for gathering …