Pit-in-pit (PIP) excavations in an aquifer–aquitard system likely undergo catastrophic failures under the hydraulic uplift, associated undrained stability problem, however, has not been well analyzed past. To this end, a hypothetical model of PIP braced excavation typical soil layers Shanghai, China is developed using finite element limit analysis (FELA) tool. The FELA solutions safety factors ...

In press. Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines. Diversity and Distributions. (A) Abstract 1 Current circumstances-that the majority of species distribution records exist as 2 presence-only data (e.g., from museums and herbaria), and that there is an established need 3 for predictions of...

Ground vibration induced by rock blasting is an unavoidable effect that may generate severe damages to structures and living communities. Peak particle velocity (PPV) the key predictor for ground vibration. This study aims develop a model predict PPV in opencast mines. Two machine-learning techniques, including multivariate adaptive regression splines (MARS) classification tree (CART), which ar...

Prognostics is an engineering discipline that predicts the future health of a system. In this research work, a data-driven approach for prognostics is proposed. Indeed, the present paper describes a data-driven hybrid model for the successful prediction of the remaining useful life of aircraft engines. The approach combines the multivariate adaptive regression splines (MARS) technique with the ...

The aim of this paper is to assess the efficiency of the integrated water service in Italy in recent years, through a robust and flexible methodology. This paper, from a methodological point of view, enhances a ’’two stage’’ method, based on ideas suggested by Florens and Simar (2005), which estimates the efficiency frontier through conditional robust models and bypasses, at the same time, the ...

This study attempts to utilize newly developed machine learning techniques in order develop a general prediction algorithm for agricultural soils Saudi Arabia, specifically the Taif region. Energy dispersive X-ray fluorescence (EDXRF) measurements were used national predictive models that predict concentrations of 14 micronutrients rose farms, providing high-quality data comparable conventional...

[1] The Pennsylvania State University/National Center for Atmosphere Research Mesoscale Model Version 5 (MM5) has been converted for use on Mars. Modifications are based on schemes implemented in the Geophysical Fluid Dynamics Laboratory Mars General Circulation Model (GCM). Validation of the Mars MM5 is conducted by comparison to the Mars GCM, examining the large-scale dynamics in the two mode...

This research is focused on the evaluation of reliability regional landslide susceptibility models obtained by exploiting inhomogeneous (for quality, resolution and/or triggering related type and intensity) collected inventories for calibration. At a large-scale glance, merging more can result in well-performing hiding potential strong predictive deficiencies. An example limits that such kinds ...

The performance of today’s enterprise applications is influenced by a variety of parameters across different layers. Thus, evaluating the performance of such systems is a time and resource consuming process. The amount of possible parameter combinations and configurations requires many experiments in order to derive meaningful conclusions. Although many tools for automated performance testing a...