With the increasing volume and active transaction of real estate properties, mass appraisal
has been widely adopted in many countries for different purposes, including assessment of …

Construction of flexible pavement on expansive soil subgrade relies on the safe
determination of California bearing ratio (CBR) value, a critical component in flexible …

Understanding and determining soil properties is reflected in improving farm management
and crop production. Soil salinity, pH and calcium carbonate are among the factors affecting …

In this paper, different models are developed to estimate the compaction parameters of
sandy soil using artificial neural network (ANN), least square support vector machine (LS …

ABSTRACT Point estimates from Automated Valuation Models (AVMs) represent the most
likely value from a distribution of possible values. The uncertainty in the point estimate–the …

Background Road traffic fatalities (RTF) is the 8th cause of mortality around the world. At the
end of the Decade of Action, it would be of utmost importance to revisit our knowledge on the …

This article attempts to improve the performance of classification algorithms used in the bank
customer marketing response prediction of an unnamed Portuguese bank using the …

In this paper, we analyzed the real estate transaction data, and built prediction models for
the real estate price using data mining algorithms, and validate the models. The datasets we …

Estimation of reliable resilient modulus (M _ R) MR), a strength performance index for
pavement design, is highly germane for safe design and construction of pavement. In the …

While many studies have applied data mining techniques to judge housing prices, few have
decoded the important attributes or prioritized them simultaneously. This paper aims to …