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A novel discrete learning-based intelligent methodology for breast cancer classification purposes
Recent Advances on the Corrosion Inhibition Behavior of Schiff base Compounds on Mild Steel in Acidic Media
A New Approach for Predicting the Pressure Drop in Various Types of Metal Foams Using a Combination of CFD and Machine Learning Regression Models
A hybrid deep learning approach for phenotype prediction from clinical notes
Time Hopping: An Efficient Technique for Reliable Coexistence of TSCH-Based IoT Networks
Time Hopping: An Efficient Technique for Reliable Coexistence of TSCH-Based IoT Networks
Photosensitive Chitosan-Based Injectable Hydrogel Chemically Cross-Linked by Perylene Bisimide Dopamine with Robust Antioxidant and Cytotoxicity Enhancer Properties for In Vitro Photodynamic Therapy of Breast Cancer
Data-Driven Prediction of Janus/Core-Shell Morphology in Polymer Particles: A Machine-Learning Approach
The importance of type of Ti-based additives on the PEO process and properties of Al2O3-TiO2 coating
The importance of type of Ti-based additives on the PEO process and properties of Al2O3-TiO2 coating
Novel photoanodes based on (Mo-Cr) co-doped titania nanotube for highly efficient photocathodic protection performance of stainless steel
Edible Wax-Based Nanoparticles as Novel Stabilizers for Oil-in-Water Pickering Emulsion
Hierarchical design of intelligent ?-MnO2-based theranostics nanoplatform for TME-activated drug delivery and T1-weighted MRI
Knock probability determination in a turbocharged gasoline engine through exhaust gas temperature and artificial neural network
Simultaneous Immunomodulation and Tissue Protection on the Rheumatoid Arthritis Models Using a Tragacanth Frankincense-Based Core-Shell Nanostructure