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Methun Kamruzzaman

Showing results (1-10 of 8) with videos related to

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Journal of Cheminformatics|July 4, 2026
P2MAT: A machine learning (ML) driven software for Property Prediction of MATerialMethun Kamruzzaman, Alexander Landera, Nalini Menon, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 25, 2019
Hyppo-X: A Scalable Exploratory Framework for Analyzing Complex Phenomics DataMethun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy, et al.
Journal of Cheminformatics|November 13, 2025
Predicting the critical micelle concentration of binary surfactant mixtures using machine learningAditya Choudhary, Saaketh Desai, Methun Kamruzzaman, et al.
Scientific Reports|September 27, 2023
Using spectral characterization to identify healthcare-associated infection (HAI) patients for clinical contact precautionJiaming Cui, Sungjun Cho, Methun Kamruzzaman, et al.
Sensors (Basel, Switzerland)|September 13, 2025
GenAI-Based Digital Twins Aided Data Augmentation Increases Accuracy in Real-Time Cokurtosis-Based Anomaly Detection of Wearable DataMethun Kamruzzaman, Jorge S Salinas, Hemanth Kolla, et al.
JMIR AI|June 14, 2024
Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development StudyMethun Kamruzzaman, Jack Heavey, Alexander Song, et al.
NPJ Digital Medicine|September 8, 2021
Privacy-first health research with federated learningAdam Sadilek, Luyang Liu, Dung Nguyen, et al.
Nature Communications|May 27, 2026
Polyketide synthase-based controlled synthesis of polycyclopropanated fuel moleculesKevin Yin, Alexander Landera, Namil Lee, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Cheminformatics|July 4, 2026
P2MAT: A machine learning (ML) driven software for Property Prediction of MATerialMethun Kamruzzaman, Alexander Landera, Nalini Menon, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 25, 2019
Hyppo-X: A Scalable Exploratory Framework for Analyzing Complex Phenomics DataMethun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy, et al.
Journal of Cheminformatics|November 13, 2025
Predicting the critical micelle concentration of binary surfactant mixtures using machine learningAditya Choudhary, Saaketh Desai, Methun Kamruzzaman, et al.
Scientific Reports|September 27, 2023
Using spectral characterization to identify healthcare-associated infection (HAI) patients for clinical contact precautionJiaming Cui, Sungjun Cho, Methun Kamruzzaman, et al.
Sensors (Basel, Switzerland)|September 13, 2025
GenAI-Based Digital Twins Aided Data Augmentation Increases Accuracy in Real-Time Cokurtosis-Based Anomaly Detection of Wearable DataMethun Kamruzzaman, Jorge S Salinas, Hemanth Kolla, et al.
JMIR AI|June 14, 2024
Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development StudyMethun Kamruzzaman, Jack Heavey, Alexander Song, et al.
NPJ Digital Medicine|September 8, 2021
Privacy-first health research with federated learningAdam Sadilek, Luyang Liu, Dung Nguyen, et al.
Nature Communications|May 27, 2026
Polyketide synthase-based controlled synthesis of polycyclopropanated fuel moleculesKevin Yin, Alexander Landera, Namil Lee, et al.
Pageof 1