Asymptotic and Transient Dynamics of a Stoichiometric Algal Growth Model with…

Exploring the mechanism of phosphate (Pi) uptake by algae is essential to accurate prediction and a comprehensive understanding of harmful algal blooms (HABs). Previous experimental studies have re…

Proceedings of 2013 4th International Asia Conference on Industrial Engineeri…

Adaptive Modeling Procedure Selection by Data Perturbation

Many procedures have been developed to deal with the high-dimensional problem that is emerging in various business and economics areas. To evaluate and compare these procedures, modeling uncertaint…

Scalable Algorithms for Large Competing Risks Data

This article develops two orthogonal contributions to scalable sparse regression for competing risks time-to-event data. First, we study and accelerate the broken adaptive ridge method (BAR), a sur…

Optimal Adaptive Waveform Design Utilizing an End-to-End Learning-Based Pre-E…

Visible light communication (VLC) has emerged as a promising communication method in the special field of 6G, such as intersatellite communication (ISC) and underwater wireless optical communicatio…

A Coalesce Security System of PDM and SDM Based on a Flexible Configuration o…

The purpose of this study is to present a security system that combines PDM and SDM and is based on the flexible configuration of multi-channel keys. The proposed system will utilize three distinct…

Novel Aggregate Deletion/Substitution/Addition Learning Algorithms for Recurs…

Many complex diseases are caused by a variety of both genetic and environmental factors acting in conjunction. To help understand these relationships, nonparametric methods that use aggregate learn…

Statistical Significance of Clustering with Multidimensional Scaling

Clustering is a fundamental tool for exploratory data analysis. One central problem in clustering is deciding if the clusters discovered by clustering methods are reliable as opposed to being artif…

Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Mod…

Transfer learning has attracted increasing attention in recent years for adaptively borrowing information across different data cohorts in various settings. Cancer registries have been widely used …

BOTDA Sensing System Based on Differential Golay Coding and Deconvolution Alg…

Performance enhanced BOTDA sensors that allows for simultaneous optimization of sensing range and spatial resolution is proposed and demonstrated in this work by using differential Golay coding and…