Temperature and rainfall are important meteorological variables in connection with changes the climate. Analyzing temperature is a necessary first step determining how climate change will affect us. Evaluating would accessibility of water environment. The main focus current study on shifting patterns Kharun Watershed, Chhattisgarh. Mann-Kendall (MK) test Sen's slope (SS) method used this to exa...

A decade ago OSCAR was introduced as a penalized estimator where the penalty term, sorted ℓ1 norm, allows to perform clustering selection. More recently, SLOPE controlling False Discovery Rate (FDR) soon hyper-parameter of norm is properly selected. For both, and SLOPE, numerical schemes compute these estimators are based on proximal operator norm. The main goal this note provide short simple f...

Abstract Introduction Over the last 40 years, a variety of algorithms have been proposed to classify sleep-wake from wrist acceleration data. Input features into these activity counts or raw acceleration. The range single heuristic rule logistic regression machine learning and deep learning. purpose this work is evaluate compare accuracy against polysomnography (PSG) annotations on common datas...

the uniaxial compressive strength (ucs) of intact rocks is an important geotechnical parameter required for designing geotechnical and mining engineering projects. obtaining accurate estimates of the rock mass ucs parameter throughout a 3d geological model of the deposit is vital for determining optimum rock slope stability, designing new exploratory and blast boreholes, mine planning, optimizi...

An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) maps from the Long Term Data Record Version 3 (LTDR) at a spatial resolution of 0.05° (~5 km) for the North American boreal region from 2001 to 2011. The modified algorithm used the Brightness Temperature channel from the Moderate Resolution Imaging Spectroradiometer (MODIS) band 31 T31 (11.03 μm)...