Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …

Data-driven models can reduce the number of hardware sensors in a process plant by
acting as low-cost substitutes for hardware sensors. Since some data-driven models have …

In this study, the simultaneous spectrophotometric estimation of Sofosbuvir (SOF) and
Daclatasvir (DAC) in synthetic mixtures and tablet formulation in the presence of overlapping …

Mass transfer in rotating packed beds (RPBs) is intensified by centrifugal force compared to
conventional columns. The resulting significant reductions of equipment size may be …

Deep carbonate reservoirs with great resource potential are key areas for future
hydrocarbon exploration with the continuous innovation of deep hydrocarbon accumulation …

Background There are reports for the simultaneous estimation of sildenafil (SIL) and
tramadol (TM) using chromatographic techniques. Some limitations of these methods are …

In this study, simultaneous measurements of levodopa (LD), carbidopa (CD), and
entacapone (ENT) as anti-parkinson drugs were investigated in synthetic mixtures and …

In this study, spectrophotometry method was combined with artificial intelligence
approaches, including feedforward backpropagation neural network (FFBP-NN) and radial …

In this study, the application of artificial neural network (ANN) and support vector regression
(SVR) methods with spectrophotometry approach was assessed for the simultaneous …

In this study, spectrophotometry method was combined with artificial intelligence techniques
for developing a simple, rapid, low-cost, and accurate approach for the simultaneous …