A high level explanation of popular Neural Network architectures, by Yousef Nami

Application of machine learning in bacteriophage research, BMC Microbiology

Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system

Mask-RCNN for Instance Segmentation

PDF) ClassiPhages 2.0: Sequence-based classification of phages using Artificial Neural Networks

Multi-variable study of a novel multigeneration system using biogas separation unit and LNG cold energy utilization, producing electricity, cooling, heat, fresh water, liquid CO2, biomethane, and methanol - ScienceDirect

How Will Developing Low-Income Neighbourhoods in Boston Affect NOx Levels?, by Yousef Nami

Fabrication and performance analysis of keratin based-graphene oxide nanocomposite to remove dye from tannery wastewater - ScienceDirect

Physical Modeling

Application of machine learning in bacteriophage research, BMC Microbiology

Heatmap of ClassiPhage 2.0 prediction of unclassified vibriophages. 327

Barplot representing the classification of the unclassified phage