Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5

no code implementations • 13 Apr 2023 • Elham Soltanikazemi, Ashwin Dhakal, Bijaya Kumar Hatuwal, Imad Eddine Toubal, Armstrong Aboah, Kannappan Palaniappan

The results demonstrate impressive precision, recall, and mAP scores of 0. 848, 0. 599, and 0. 641, respectively for the training data.

Data Augmentation object-detection +1

Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge

no code implementations • 3 Jun 2022 • Sajid Mahmud, Elham Soltanikazemi, Frimpong Boadu, Ashwin Dhakal, Jianlin Cheng

Most children infected with COVID-19 have no or mild symptoms and can recover automatically by themselves, but some pediatric COVID-19 patients need to be hospitalized or even to receive intensive medical care (e. g., invasive mechanical ventilation or cardiovascular support) to recover from the illnesses.

DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning

1 code implementation • 26 May 2022 • Elham Soltanikazemi, Raj S. Roy, Farhan Quadir, Nabin Giri, Alex Morehead, Jianlin Cheng

Utilizing true contacts as input, DRLComplex achieved high average TM-scores of 0. 9895 and 0. 9881 and a low average interface RMSD (I_RMSD) of 0. 2197 and 0. 92 on the two datasets, respectively.

reinforcement-learning Reinforcement Learning (RL) +1