Assessment of computational approaches in the prediction of spectrogram and chromatogram behaviours of analytes in pharmaceutical analysis: assessment review
M Malarvannan, KV Kumar, YP Reddy, P Nikhil… - Future Journal of …, 2023 - Springer
Background Today, artificial intelligence-based computational approach is facilitating
multitasking and interdisciplinary analytical research. For example, the data gathered during …
multitasking and interdisciplinary analytical research. For example, the data gathered during …
Fuzzy surfacelet neural network evaluation model optimized by adaptive dragonfly algorithm for pipeline network integrity management
J Sun, B Zhao, D Gao, L Xu - Applied Soft Computing, 2021 - Elsevier
In order to improve integrity management evaluation level of pipeline, the fuzzy surfacelet
neural network optimized by improved dragonfly algorithm. Firstly, the domestic and foreign …
neural network optimized by improved dragonfly algorithm. Firstly, the domestic and foreign …
Support Vector Models-Based Quantitative Structure–Retention Relationship (QSRR) in the Development and Validation of RP-HPLC Method for Multi-component …
K Rajput, S Dhiman, NK Veni, V Ravichandiran… - Chromatographia, 2024 - Springer
This work emphasized the use of the quantitative structure–retention relationship (QSRR)
approach in the prediction retention time of anti-diabetic drugs on C18 column in the HPLC …
approach in the prediction retention time of anti-diabetic drugs on C18 column in the HPLC …
Quantitative structure retention relationship (QSRR) approach for assessment of chromatographic behavior of antiviral drugs in the development of liquid …
J Paritala, R Peraman, VK Kondreddy… - Journal of Liquid …, 2021 - Taylor & Francis
A quantitative structure-retention relationship (QSRR) model has been developed and
experimentally verified for the prediction of retention behavior of antiviral drugs in the …
experimentally verified for the prediction of retention behavior of antiviral drugs in the …
Quantum tomographic reconstruction: a Bayesian approach using the extended Kalman filter
This study presents a comprehensive bibliometric analysis of the fusion between quantum
tomography and the Extended Kalman Filter (EKF), emphasizing its superiority in refining …
tomography and the Extended Kalman Filter (EKF), emphasizing its superiority in refining …