conventionally, regression and time series analyses have been employed in modeling water demand forecasts. in recent years, the relatively new technique of neural networks (nns) has been proposed as an efficient tool for modeling and forecasting. the objective of this study is to investigate the relatively new technique of gmdh – type neural networks for the use of forecasting long – term urban...

Recent research demonstrates the use of goal regression as an analytic technique for learning search heuristics. This paper critically examines this research and identifies essential applicability conditions for the technique. The conditions that operators be invertible and that the domain be closed wi th respect to the inverse operators severely l imi t the use of analytic goal regression. In ...

Antitubercular activity of 5-nitrofuran-2-yl Derivatives series were subjected to Quantitative Structure Activity Relationship (QSAR) Analysis with an effort to derive and understand a correlation between the biological activity as response variable and different molecular descriptors as independent variables. QSAR models are built using 40 molecular descriptor dataset. Different statistical re...

Precipitation is the main source of fresh water in cycle. Climate change, because global warming and consequent change cycle, a security issue. It would significantly influence food security. Disasters such as floods droughts lead to an adverse effect on economy, peace, geo-political situation around world. In present study, precipitation patterns at Gwadar port quantified context climate since...

The Internet of Things (IoT) has made it possible to include everyday objects in a connected network, allowing them intelligently process data and respond their environment. Thus, is expected that those will gain an intelligent understanding environment be able more efficiently than before. Particularly, such edge computing paradigm allowed the execution inference methods on resource-constraine...

Regression testing is an important but expensive software maintenance activity performed with the aim of providing confidence in modified software. Regression test selection techniques reduce the cost of regression testing by selecting test cases for a modified program from a previously existing test suite. Many researchers have addressed the regression test selection problem for procedural lan...