Posts in Artificial Intelligence

Deep Phenotyping of Coronary Artery Disease Using Unsupervised Deep Learning Reveals Three Distinct Clinical Subtypes (2022)

Author: Mohammad Motaghianfar Abstract Coronary Artery Disease (CAD) varies widely in how it affects people, making personalized treatment tricky. Standard methods focus on how blocked[…]

Optimizing Crop Selection and Resource Allocation in Multi-Seasonal Indian Agriculture Using Deep Reinforcement Learning (2022)

Author: Mohammad Motaghianfar Abstract Indian farming, with its diverse seasonal cycles, struggles to pick the best crops and use resources efficiently, affecting yields and sustainability.[…]

Multi-View Evidential Deep Learning with Uncertainty Quantification for Robust Breast Cancer Diagnosis (2021)

Author: Mohammad Motaghianfar Abstract Breast cancer diagnosis with AI faces hurdles like uneven datasets, overly confident wrong predictions, and no way to measure uncertainty, which[…]

Unsupervised Learning of Cardiovascular Aging Trajectories from Cross-Sectional Population Data Reveals Critical Early-Adulthood Divergence (2021)

Author: Mohammad Motaghianfar Abstract Heart disease varies widely as people age, but tracking it over time is costly and complex. Cross-sectional data offers a cheaper[…]

Precision Crop Recommendation Using Multi-Feature Soil and Climatic Analysis for Sustainable Agriculture (2021)

Author: Mohammad Motaghianfar Abstract Sustainable farming is key to feeding a growing world amid climate shifts and soil decline. Traditional crop choices based on experience[…]

Stacked Ensemble Modeling with Domain-Specific Clustering for Robust Loan Approval Classification (2021)

Author: Mohammad Motaghianfar Abstract Background: Accurate loan approval classification is critical for financial risk management. Traditional machine learning models often struggle to capture the complex, non-linear[…]