The prevailing environmental, social and governance (ESG) framework is currently based
on micro‐ESG indicators. Research on national ESG is often limited to theory building and …

In this study, it was aimed to compare different normalization methods employed in model
developing process via artificial neural networks with different sample sizes. As part of …

In this research, the normalization performance of the proposed adjusted min‐max methods
was compared to the normalization performance of statistical column, decimal scaling …

With the technological developments, the amount of data stored in the computer
environment is increasing very rapidly. Data analysis has become an important research …

Although neural network models enjoy tremendous advantages in handling image and text
data, tree-based models still remain competitive for learning-to-rank tasks with numerical …

In this research, the logistic regression model was employed to develop a classifier that
measures psychological capital of workers in organization. Psychological capital (PsyCap) …

Machine learning and artificial intelligence techniques are more and more in our lives and
studies in this field are increasing day by day. Data is vital for these studies. In order to draw …

To establish a comprehensive sustainable development framework that balances economic
development and ESG levels, this paper proposes an EESG (Economics, Environment …

Outlier mining task is to discover some unusual objects, and however, most existing
methods and their mining results lack pertinence. To address the pertinence of outlier …

Background: With their high speed and low response time, unmanned aerial vehicles
(UAVs) have been suggested as a solution to overcome the systematic inefficiencies in the …