The proliferation of electric vehicle (EV) technology is an important step towards a more
sustainable future. In the current work, two-layer feed-forward artificial neural-network-based …

Electric vehicle (EV) drivers require reliable distance to empty (DTE) indication to plan their
trips. In the current study, feed forward neural networks based soft sensors were designed to …

Complex industrial processes demand high performance control characteristics. Fractional
order controller is more robust than the classical controllers generally used in industry. This …

The auto industry is critically dependent on lean and flexible manufacturing systems to
sustain in today's dynamic and price sensitive markets. In the current work, a machine …

Abstract Machine learning has revolutionized the way complex problems are solved in
engineering. In the current work, machine learning methodology has been applied for …

Switched-mode DC–DC converters are required to maintain constant output under
uncertainties and variations in input voltage and load. The controller's robustness is crucial …

Technology is advancing day by day and with its relentless progress, the industry is also
constantly evolving to meet new-age customer expectations with higher efficiency and …

Fractional order control is one of the most important enablers of advanced closed loop
industrial automation systems. This paper presents a detailed bibliometric study of fractional …

Safety of bolted joints in industrial machinery is of paramount importance. In this paper,
fractional calculus-based predictive modeling has been investigated to control clam** …