This paper reports the results of soft computing-based models correlating L and N-type
Schmidt hammer rebound numbers of rock. A data-independent database was compiled …

At present, there is a problem that the output accuracy of the transplanting manipulator is low
due to interference from external factors. To solve the problem of low output accuracy of the …

This paper presents an intelligent photovoltaic (PV) fault detection system using Adaptive
Neuro-Fuzzy Inference System (ANFIS) methodology. To accomplish this objective, it is …

Multistage pumps are intended to improve designs with low‐vibration and‐noise features as
the industry applications increase the technical requirements. In this frame, it becomes really …

There are few studies on how ultra-high-performance concrete UHPCs interact with
reinforced bar, and there is less data on non-proprietary UHPCs. On the other hand …

This study involves an artificial intelligence approach in the optimization of hydrothermal
liquefaction (HTL) of biomass feedstock. A Decision Support System (DSS) was developed …

Accurate estimation of reference crop evapotranspiration (ET 0) is of great significance to
crop water use and agricultural water resources management. This study evaluated the …

This work presents modeling of temperature and temporal drift characteristics of Al 2 O 3-
gate Ion-Sensitive Field-Effect Transistor (ISFET) and performance enhancement of ISFET …

Destructive manual experiments are primarily used for quality assessment of electron beam
welded components, which consume the resources and time significantly. Vision-based and …

Tensile strength (TS) of rock is one of the important properties in design process of
construction civil works such as foundations and tunnels. Brazilian tensile strength (BTS) or …