Accurate ahead forecasting of reference evapotranspiration (ET o) is crucial for effective
irrigation scheduling and management of water resources on a regional scale. A variety of …

The objective of this study is to develop a novel multi-level pre-processing framework and
apply it for multi-step (one and seven days ahead) daily forecasting of Surface soil moisture …

Electroencephalogram (EEG) is one of the common modalities of monitoring the mental
activities. Owing to the non-invasive availability of this system, its applicability has seen …

Snoring is a prominent characteristic of sleep-disordered breathing, and its detection is
critical for determining the severity of the upper airway obstruction and improving daily …

Structural modal parameters are essential to provide dynamic information for data analysis
of structural health monitoring (SHM) system. Because of the variation of the physical …

The geomagnetic data are of great value in earthquake prediction, space weather
monitoring, mineral resources exploration, and deep structure exploration of the earth …

This article explores the detection of Attention Deficit Hyperactivity Disorder, a
neurobehavioral disorder, from electroencephalography signals. Due to the unstable …

The amplitude envelope is a crucial parameter to analyse natural systems as it provides
useful amplitude modulation (AM) based information. In many cases, power spectral entropy …

The future of the milling process is the fully autonomous operation of the machine tools.
Developments in terms of automation and machine tool design are now enabling fully …

Spatiotemporal signals are currently gaining wide popularity owing to their richness in terms
of information content from both spatial and temporal aspects. Climatic studies involve the …