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Machine learning and traditional QSAR modeling methods: a case study of known PXR activators
Taylor & Francis Verlag | 2024| -
Dispersion characteristics of surface plasmon polaritons (SPPs) in graphene–chiral–graphene waveguide
Taylor & Francis Verlag | 2024| -
Medicinal Importance and Chemosensing Applications of Pyridine Derivatives: A Review
Taylor & Francis Verlag | 2024| -
Effectiveness of estrogen and its derivatives over dexamethasone in the treatment of COVID-19
Taylor & Francis Verlag | 2024| -
Synthesis, anticancer activity, molecular docking and molecular dynamics studies of some pyrazole–chalcone hybrids
Taylor & Francis Verlag | 2024| -
Microsimulation of mobility assignment within an activity-based travel demand forecasting model
Taylor & Francis Verlag | 2023| -
Vitamin K Deficiency in the Setting of Blenderized Tube Feeding Regimen in a Teenager: A Case Report
Taylor & Francis Verlag | 2023| -
A machine learning-oriented pseudo-field approach to accelerate runtime of molecular dynamics simulation of liquids
Taylor & Francis Verlag | 2023| -
Analyzing nonlinear vibration of metal foam stiffened toroidal convex/concave shell segments considering porosity distribution
Taylor & Francis Verlag | 2023| -
Structural, magnetic and ferroelectric properties of magnetoelectrically coupled xBa0.95Sr0.05TiO3-(1–x)BiFe0.90Sm0.10O3 ceramics
Taylor & Francis Verlag | 2023| -
A novel long-short term memory network approach for stress model updating for excavations in high stress environments
Taylor & Francis Verlag | 2023| -
Irreversibility intent triple diffusion stream over porous medium plate with radiation and joule heating
Taylor & Francis Verlag | 2023| -
A strong convergence theorem under a new shrinking projection method for nonlinear mappings in reflexive Banach spaces
Taylor & Francis Verlag | 2023|
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