We present a forward-modeling framework using the Bayesian inference tool Starfish and cloudless Sonora-Bobcat model atmospheres to analyze low-resolution ($R\approx80-250$) near-infrared ($1.0-2.5$ $\mu$m) spectra of T dwarfs. Our approach infers effective temperatures, surface gravities, metallicities, radii, masses, by accounting for uncertainties from interpolation correlated residuals due ...

ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...

Simulation-Based Inference of Galaxies (${\rm S{\scriptsize IM}BIG}$) is a forward modeling framework for analyzing galaxy clustering using simulation-based inference. In this work, we present the ${\rm IM}BIG}$ model, which designed to match observed SDSS-III BOSS CMASS sample. The model based on high-resolution Q{\scriptsize UIJOTE}}$ $N$-body simulations and flexible halo occupation model. I...

Abstract: The legged robot can only walk very similar to human walking pattern. Therefore, many robots have been researched and developed in recent years. However, the biped robots still have many issues for the natural human walking in terms of the redundant degree of freedom, complexity of the kinematics, and stability. In this paper, we have described our biped robot modeling in the forward ...

There are many problems in conceptual modeling process, such as sharing difficulty in modeling conception, complexity of modeling method, difficulty in cooperative modeling by experts from different domains, and so on. To solve those problems, by establishing expression rules of metadata and semantics of geographical models, introductive geographical modeling approaches is put forward here to r...