Examining sea levels forecasting using autoregressive and prophet models.

Global climate change in recent years has resulted in significant changes in sea levels at both global and local scales. Various oceanic and climatic factors play direct and indirect roles in influencing sea level changes, such as temperature, ocean heat, and Greenhouse gases (GHG) emissions. This study examined time series analysis models, specifically Autoregressive Moving Average (ARIMA) and Facebook's prophet, in forecasting the Global Mean Sea Level (GMSL).

A novel DeepNet model for the efficient detection of COVID-19 for symptomatic patients.

The novel Coronavirus (COVID-19) disease has disrupted human life worldwide and put the entire planet on standby. A resurgence of coronavirus infections has been confirmed in most countries, resulting in a second wave of the deadly virus. The infectious virus has symptoms ranging from an itchy throat to Pneumonia, resulting in the loss of thousands of human lives while globally infecting millions.

Automatic polyp detection: A comparative study.

In this work we present a performance comparison between a set of different state-of-the-art image descriptors for the automatic detection of polyps in colonoscopy videos. This set includes: Local binary patterns, 2-dimensional Gabor filters, wavelet-based texture, and histogram of oriented gradients. We use these descriptors in conjunction with support vector machine or nearest neighbor classifiers to classify candidate regions, which in turn are selected using the maximally stable extremal regions algorithm.

Multiscale roughness approach for assessing posterior capsule opacification.

Posterior capsule opacification (PCO) is a common complication in patients who have undergone cataract surgery, occurring in up to 50% of patients by two to three years after the operation. Assessment of PCO has been mainly subjective, making it difficult to understand its progression over time or assess the effectiveness of strategies used for the prevention of PCO. Fully automated PCO assessment systems developed so far offer objective grades.