Spatially explicit measurement of Above Ground Biomass (AGB) is crucial for the
quantification of forest carbon stock and fluxes. To achieve this, an integration of Optical and …

The banking industries are struggling with massive growth in the Non-Performing Assets
(NPAs) that is raising the concerns of the financial institutions across the world. For gaining …

In recent years, machine learning has been used for data processing and analysis,
providing insights to businesses and policymakers. Deep learning technology is promising …

In the era of climate change, monitoring and effective retrieval of soil, water bodies,
vegetation parameters etc. are of utmost importance which is successfully being executed …

Abstract The convergence of Social Mobility Analytics and Cloud (SMAC) technologies
resulted in an unexpected upsurge of web services on the internet. The flexibility and rental …

Intelligent transport systems need accurate short-term traffic flow forecasts. However,
developing a robust short-term traffic flow forecasting approach is a challenging task due to …

In recent years, cloud computing has revolutionized computing. The resource usage
prediction of machine workloads has been one of the most important and challenging …

The current work aims at probing the performance of real-time forecasting of endemic
infectious diseases by means of machine learning and deep learning techniques. An LSTM …

With the advent of the Third computing platform of Social Mobility Analytics and Cloud
(SMAC), data is getting generated in huge amounts. This huge amount of data is collected …

One of the drawbacks of using predictive quality of service (QoS) in cloud service
suggestions is that the values vary rapidly over time, which may result in end-users receiving …