The reliability of using abrupt changes in the spatial Hurst exponent for identifying temporal
points of abrupt change in climate dynamics is explored. If a spatio-temporal dynamical …

Fine particulate matter (PM2. 5) is a perilous air pollutant for human health, especially when
present at high airborne concentrations. The national clean air program (NCAP) aims at a …

Evaluating the impact of climatic change on hydrologic variables is highly important for
sustainability of water resources. Precipitation and temperature are the two basic …

The OHLCV (Open, High, Low, Close, Volume) data used in this study is used to forecast
time series and anticipate stock price movement. We investigate a wide variety of models …

The most deadly type of skin cancer, melanoma, poses a serious public health problem, and
early detection is essential for enhancing patient outcomes. Deep learning-based …

Rainfall forecast is essential in water resource management, agricultural planning, and
disaster preparedness. Traditional rainfall forecasting systems have accuracy and lead time …

Industrial Control Systems (ICS) are of utmost importance in the functioning of infrastructure
and manufacturing operations. The identification of anomalies within these systems holds …

Detecting emotions helps create more intuitive and responsive technology interfaces
between humans and machines. This study introduces deep learning-based emotion …

Data is always at risk of being compromised in the age of the industrial Internet of Things
(IoT) irrespective of the fact that whether it is at rest or in transit. Authentication and …

Healthcare research priorities predictive modelling accuracy and effectiveness, especially in
cardiovascular disease (CVD) risk assessment and early detection. This transformative …