Survival regression is used to estimate the relation between time-to-event and feature variables, important in application domains such as medicine, marketing, risk management, sales management. Nonlinear tree based machine learning algorithms implemented libraries XGBoost, scikit-learn, LightGBM, CatBoost are often more accurate practice than linear models. However, existing state-of-the-art i...

PURPOSE Approximately 12,000 glioblastomas are diagnosed annually in the United States. The median survival rate for this disease is 12 months, but individual survival rates can vary with patient-specific factors, including extent of surgical resection (EOR). The goal of our investigation is to develop a reliable strategy for personalized survival prediction and for quantifying the relationship...

The ground truth for cascading failure in power system can only be obtained through a detailed dynamic model involving nonlinear differential and algebraic equations whose solution process is computationally expensive. This has prohibited adoption of such models simulation. To solve this, we propose fast simulation approach based on implicit Backward Euler method (BEM) with stiff decay property...

With the transmission of COVID-19 epidemic at home and abroad, this paper considers spread process in China, improves classic SEIR model, establishes a multistage time-delay control model (MTCM) for transmission. The MTCM divides into three periods: outbreak period, period steady period. classical improved SEQIR ? correspond to periods. was adopted yielded results that were consistent with obse...

Nowadays, most of products are the results of different dependent process steps. Due to the cascade property in most of these processes, using the traditional control charts for monitoring these processes is not suitable. To solve this problem, Cause selecting Charts (CSCs) are developed to monitor multistage processes. These control charts have usually been developed when quality characteristi...

In this paper, the general linear profile-monitoring problem in multistage processes is addressed. An approach based on the U statistic is first proposed to remove the effect of the cascade property in multistage processes. Then, the 2 T chart and an LRT-based scheme on the adjusted parameters are constructed for Phase-I monitoring of the parameters of general linear profiles in each stage. Usi...

Free-electron lasers producing ultrashort pulses with high peak power promise to extend ultrafast non-linear spectroscopic techniques into the extreme-ultraviolet–X-ray regime. Key aspects are synchronization between pump and probe, control of pulse properties (duration, intensity coherence). Externally seeded free-electron produce coherent that can be synchronized femtosecond accuracy. An impo...

In the context of Malaysian companies’ survival, potential role intended use proceeds as an influential factor remains unfamiliar. This study examines link between IPO and survival 423 listed companies over period 2000–2014. distinguishes into three segregations: growth opportunities, debt repayment, working capital. Employing Accelerated Failure Time (AFT) model, overall evidence shows a stati...

This paper presents a modified nonlinear longitudinal model for an air-breathing hypersonic vehicle and the design of an L1 adaptive controller for it. It is assumed that the mid-fuselage is a rigid-body, while the aft-fuselage is linearly elastic, and a rigid all-movable elevator is fixed at the end of the aft-fuselage. In the resulting mathematical model, the pitching moment depends not only ...