|
|
|
|
|
Yuchen Jiang, Shaoming Hu, Junju Du, Xu Chen, Hai Cao, Shuqi Liu and Shuai Feng
Ground-based optical observation of GEO space debris plays an essential role in tracking, identifying, cataloging, and classifying space debris. The factors that affect the brightness of space debris include size, surface material, illumination geometry,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aristeidis Karras, Christos Karras, Nikolaos Schizas, Markos Avlonitis and Spyros Sioutas
The field of automated machine learning (AutoML) has gained significant attention in recent years due to its ability to automate the process of building and optimizing machine learning models. However, the increasing amount of big data being generated ha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Widyo Nugroho, Christiono Utomo and Nur Iriawan
The sustainable management of the water supply system requires methodologies to monitor, repair, or replace the aging infrastructure, but more importantly, it must be able to assess the condition of the networks and predict their behavior over time. Amon...
ver más
|
|
|
|
|
|
|
|
|
|
|
Faisal Baig, Mohsen Sherif and Muhammad Abrar Faiz
Mountainous watersheds have always been a challenge for modelers due to large variability and insufficient ground observations, which cause forcing data, model structure, and parameter uncertainty. This study employed Differential Evolution Adaptive Metr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wilson Tsakane Mongwe, Rendani Mbuvha and Tshilidzi Marwala
Markov chain Monte Carlo (MCMC) techniques are usually used to infer model parameters when closed-form inference is not feasible, with one of the simplest MCMC methods being the random walk Metropolis?Hastings (MH) algorithm. The MH algorithm suffers fro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abolfazl Shojaei Barjouei and Masoud Naseri
Environmental conditions in Arctic waters pose challenges to various offshore industrial activities. In this regard, better prediction of meteorological and oceanographic conditions contributes to addressing the challenges by developing economic plans an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Filippo Landi, Francesca Marsili, Noemi Friedman and Pietro Croce
In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the uncertain input parameters of a structural model given the measurements of the outputs. Through such a Bayesian framework, a probabilistic description of parameters ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qiao Yan, Xiaoqian Liu, Xiaoping Deng, Wei Peng and Guiqing Zhang
Prediction of energy use behaviors is a necessary prerequisite for designing personalized and scalable energy efficiency programs. The energy use behaviors of office occupants are different from those of residential occupants and have not yet been studie...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christin Bobe, Daan Hanssens, Thomas Hermans and Ellen Van De Vijver
Often, multiple geophysical measurements are sensitive to the same subsurface parameters. In this case, joint inversions are mostly preferred over two (or more) separate inversions of the geophysical data sets due to the expected reduction of the non-uni...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chaofeng Tang and Kentaka Aruga
The Chinese liquid natural gas (LNG) import price has been unstable because the stability of LNG import prices is related to changes in the exchange rates. This paper analyzes the pass-through rate of the Chinese Yuan (CNY) and Japanese Yen (JPY) on the ...
ver más
|
|
|
|
|
|