Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …

Over the years, several studies have focused on integrally exploring lignocellulosic biomass
to achieve satisfactory yields of different bioproducts and establish economically viable …

The adsorption process was investigated using the ANFIS, ANN, and RSM models. The
adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN), and …

Biowaste generation is considerably increasing multiple times recently due to various social
and environmental changes like population growth, economic prosperity, globalisation etc …

The thermal conductivity of refrigerants is needed to optimize and design the main
components of HVAC&R systems. Consequently, it is crucial to have reliable models that are …

The most cost-effective technique to cultivate microalgae is with low-cost resources, like fruit
and vegetable peels. This study examined the viability of culturing microalgae (Oscillatoria …

Petroleum and its refined products enter the marine environment during the extraction
process, causing serious pollution. Herein, a bifunctional Fe–N 2 single-atom embedded in …

The focal aim of the current paper is to present a unique support vector machine (SVM)
based fault diagnosis technique for a Lithium ion battery. This paper basically objectifies the …

This study aimed to optimise and model biogas yields using artificial neural networks (ANN)
and response surface method (RSM) of biogas yields after adding different doses of …

Paddy straw (PS)–based lignocellulosic biomaterials (LBM) generate biofuel, which
minimizes climate change, global warming, CO2, and nursery gas emissions. The current …