The levels of stress experienced by people living in many countries worldwide, particularly by those inhabiting urban areas, ...

The innovations described by Hari Suresh Babu Gummadi signal not just technological upgrades but a fundamental shift in how ...

In general, regularization, more specifically, non-smooth regularization, can be used in order to build sparse networks, which make the optimization task difficult. The main aim is to develop a novel ...

The following is a summary of "Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty ...

The objective function of the optimization problem quantifies the per camera per ... The solution proposed herein involves a Bayesian formulation in a game theoretic setting. The Bayesian formulation ...