The presence of magnetic field results in a reduction in natural convective heat transfer and
entropy generation in cavities. The use of nanofluids improves the performance of thermal …

As the transport sector is responsible for the consumption of a vast proportion of the oil
produced, it is mandatory to research feasible solutions to tackle this issue. The application …

This paper proposes a theoretical analysis of one approach to the eXplainable AI (XAI)
problem, using post-hoc explanation-by-example, that relies on the twinning of artificial …

In the present study, using 15 machine learning algorithms (MLP, SVM, RBF, ELM, ANFIS, D-
Tree, MLR, MPR, BPNN, BN, LM, GD, BFGS, XGB and GMDH), the rheological behavior of …

For conducting an analysis of the experimental data, it is imperative to establish a
mathematical correlation between the input and output variables. This entails executing a …

A significant number of the world's population is dependent on rice for survival. In addition to
sugarcane and corn, rice is said to be the third most growing staple food in the world. As a …

In recent years, WiFi offloading provides a potential solution for improving ad hoc network
performance along with cellular network. This paper reviews the different offloading …

The research used an artificial neural network (ANN) model to examine the rheological
properties of hybrid non-Newtonian ferrofluids (HNFFs) composed of Fe-CuO, water, and …

Because of a bustling timetable and unpredictable way of life, health risk isn't an age-
subordinate factor in the ongoing time. Under these conditions, Internet of Things has given …

Diabetes is a chronic condition that affects a large number of people. Diabetes can be
predicted early on, which can lead to better treatment. One of the main causes of this …