Defining spatial distribution of airborne volcanic ash in the neighbourhood an erupting volcano is a synoptic scale problem, severely impacting lives and livelihoods. Robust algorithms are needed to model such complex phenomenon from sparse field data. This study investigated optimal modelling dispersion using Empirical Bayesian Kriging (EBK): geostatistical, probabilistic algorithm. Both dista...

This aims of the study to identify spatial microsplastic pollution sediments in Tallo River Makassar City. type research is descriptive observational. design uses a Geographical Information System (GIS) Statistical analysis using average abundance microplastics presented tables and graphs, then analyzed descriptively quantitatively at each station. Data showing mean ± standard deviation were SP...

This paper presents the development and validation of an autonomous gas-sensitive micro-drone, which is capable of estimating the wind vector in real time using only the on-board control unit of the micro-drone and performing gas distribution mapping. Two different sampling approaches are suggested in order to address this problem. On one hand, a predefined trajectory is used to explore the tar...

the northwestern part of the kerman cenozoic magmatic arc (kcma) contains many areas with porphyry copper mineralization. in this research, we used the advanced space-borne thermal emission and reflection radiometer (aster) and enhanced thematic mapper plus (etm+) images of this region to map the distribution of hydrothermally altered rocks, based on their mineral assemblages. the spectral meas...

In this work, we study the effectiveness of Adaptive -Ranking for distribution search in the context of many-objective optimization. Adaptive -Ranking re-classifies sets of non-dominated solutions using iteratively a randomized sampling procedure that applies -dominance with a mapping function f(x) 7→ f (x) to bias selection towards the distribution of solutions implicit in the mapping. We anal...