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 …

Recent years have witnessed the success of introducing deep learning models to time
series forecasting. From a data generation perspective, we illustrate that existing models are …

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 …

This paper presents a review of the ensemble learning models proposed for web services
classification, selection, and composition. Web service is an evolutionary research area, and …

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 …

Recent years have witnessed the success of introducing Transformers to time series
forecasting. From a data generation perspective, we illustrate that existing Transformers are …

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 …

Quality of service (QoS) is widely adopted to characterize the performance of services
invoked by users. For this purpose, the QoS prediction of services constitutes a decisive tool …

The convergence of Social Mobility Analytics and Cloud (SMAC) technologies gives rise to
an unforeseen aggrandization of the web services on the internet. The resilience and …