Localization has attracted a lot of research effort in the last decade due to the explosion of
location based service (LBS). In particular, wireless fingerprinting localization has received …

Data-driven paradigms are well-known and salient demands of future wireless
communication. Empowered by big data and machine learning techniques, next-generation …

Wearable robotic devices have been shown to substantially reduce the energy expenditure
of human walking. However, response variance between participants for fixed control …

Standard neural networks struggle to generalize under distribution shifts in computer vision.
Fortunately, combining multiple networks can consistently improve out-of-distribution …

The series aims to: present current and emerging innovations in GIScience; describe new
and robust GIScience methods for use in transdisciplinary problem solving and decision …

This study investigates the effectiveness of gradient boosting decision trees techniques in
estimating mangrove above-ground biomass (AGB) at the Can Gio biosphere reserve …

Machine learning (ML) techniques have been utilized for the crop monitoring and yield
estimation/prediction using remotely sensed data. However, these methods have been …

This paper presents a system probabilistic stability evaluation method for slopes based on
Gaussian process regression (GPR) and Latin hypercube sampling. The analysis is …

This paper provides an overview of the support vector machine (SVM) methodology and its
applicability to real‐world engineering problems. Specifically, the aim of this study is to …

The problem of combined state and input estimation of linear structural systems based on
measured responses and a priori knowledge of structural model is considered. A novel …