To solve the problems of the low energy efficiency and slow penetration rate of drilling, we
took the geological data of adjacent wells, real-time logging data, and downhole …

Sequential optimization is one of the promising approaches in identifying the optimal
candidate (s)(molecules, reactants, drugs, etc.) with desired properties (reaction yield …

This article proposes a second-order conic programming (SOCP) approach to solve
distributionally robust two-stage linear programs over 1-Wasserstein balls. We start from the …

In India, liver disease is one of the major causes of deaths in all age groups and moreover
its resistance to early detection is more disturbing fact. It is therefore important to have a …

This paper proposed an optimal time‐varying proportional navigation guidance law based
on sequential convex programming. The guidance law can achieve the desired impact …

Refined composite multi-scale dispersion entropy (RCMDE), as a new and effective
nonlinear dynamic method, has been applied in the field of medical diagnosis and fault …

In practical application, the time when the maneuvering targets enter and leave the radar
coverage observation is usually unknown, which will seriously deteriorate the performance …

The main object of this paper is to develop an alternative construction for the bimodal skew-
normal distribution. The construction is based upon a study of the mixture of skew-normal …

The fronto-parietal network is involved in top-down and bottom-up processes necessary to
achieve cognitive control. We investigated the role of asymmetric enhancement of the left …

Uncertainty quantification is widely used in engineering domains to provide confidence
measures on complex systems. It often requires to accurately estimate extreme statistics on …