Global ETD Search

Understanding the cold start problem in job recommender systems : a comparison of machine learning and deep learning models with feature importance analysis

Krooder, S.2024

tilburg Repository record for Understanding the cold start problem in job recommender systems : a comparison of machine learning and deep learning models with feature importance analysis (opens in a new tab)

Predictive modeling of postpartum depression risk using electronic health record data

Tyrrell, Margaret AnneUniversity of Missouri--Kansas City2026

… key predictive risk factors. A retrospective analysis was conducted on a cohort of 7,184 women aged 18 to 45 with a delivery encounter between January 1, 2022, and January 1, 2025. Demographic, clinical, and psychosocial variables were extracted. Statistical analysis identified 42 predictive …

umkc Repository record for Predictive modeling of postpartum depression risk using electronic health record data (opens in a new tab)

Integrating Digital Aerial Photography and Lidar-Derived Information For Object-Based Coastal Tidal Marsh Classification Using Tree-Based Ensemble Algorithms

Yi, Chang

… Bluffton, South Carolina. An object-based image analysis (OBIA) approach was adopted for mapping the following detailed tidal marsh classes: tall creekbank spartina alterniflora, intermediate spartina alterniflora, exposed mudflats, salicornia/short spartina and juncus roemerianus. A …

south-carolina Repository record for Integrating Digital Aerial Photography and Lidar-Derived Information For Object-Based Coastal Tidal Marsh Classification Using Tree-Based Ensemble Algorithms (opens in a new tab)

Explainable Machine Learning Prediction of Antimicrobial Peptide Targeting Streptococcus mutans

Riad, Md Aliul IslamUniversity of Kansas2026

… explainability layers to uncouple and optimize features independently. The study first assembled a curated dataset of 100 unique anti-S. mutans peptides with harmonized minimum inhibitory concentration (MIC) values, then trained and benchmarked classification and regression models across …

ku Repository record for Explainable Machine Learning Prediction of Antimicrobial Peptide Targeting Streptococcus mutans (opens in a new tab)

Alternaria Leaf Blight and Head Rot of Broccoli: UAV-Based Disease Detection and Fungicide Resistance Management

Saint-Preux, CarlosVirginia Tech2025

… attained 88, 86, and 85% accuracy respectively. Feature importance analysis highlighted indices like TCARI, CVI, and SRPI as consistently influential across models. These findings demonstrate the potential of combining multispectral imaging with machine learning to enhance early detection and …

vt Repository record for Alternaria Leaf Blight and Head Rot of Broccoli: UAV-Based Disease Detection and Fungicide Resistance Management (opens in a new tab)

Physics-Based Artificial Intelligence Models for Vehicle Emissions Prediction

Panneer Selvam, Harish2021

… a separate vehicle OBD dataset, a sensitivity analysis is performed on the prediction model, and its predicted values are compared with that from a black-box deep neural network. The results show that NOx emissions predictions using the proposed model has around 55% better root mean square …

umn Repository record for Physics-Based Artificial Intelligence Models for Vehicle Emissions Prediction (opens in a new tab)

Seemingly Unrelated Research in Economics

Krouse, Michael2024

… These drivers were confirmed by quantifying feature importance using extreme gradient boosting. Estimating a mediation model of the change in affect on satisfaction with life showed these results continued to hold when controlling for personality traits and income. Our analyses show the …

claremont Repository record for Seemingly Unrelated Research in Economics (opens in a new tab)

Multi-fidelity machine learning methods for sputtering yield calculations relevant to magnetic fusion energy systems

Valaitis, SonataUniversity of Illinois at Urbana-Champaign2024

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-12-01

uiuc Repository record for Multi-fidelity machine learning methods for sputtering yield calculations relevant to magnetic fusion energy systems (opens in a new tab)

Computational corn hybrid selection integrating phenotypic, environmental, and genomic information

Chow, Tsz Yau IrisUniversity of Illinois Urbana-Champaign2025

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms

uiuc Repository record for Computational corn hybrid selection integrating phenotypic, environmental, and genomic information (opens in a new tab)

CO AND CO2 HYDROGENATION BY FISCHER TROPSCH SYNTHESIS PROMOTED WITH IRON BASED HETEROGENEOUS CATALYSIS: DATA COLLECTION AND PROCESS DESIGN

GRAINCA, ARIANUniversità degli Studi di Milano2025

… Life Cycle Assessment (LCA), HAZOP/LOPA safety analysis, and artificial intelligence tools (artificial neural networks) for performance optimization. This integrated approach provides a comprehensive perspective on CO/CO2 conversion, representing an important step toward the practical …

milano Repository record for CO AND CO2 HYDROGENATION BY FISCHER TROPSCH SYNTHESIS PROMOTED WITH IRON BASED HETEROGENEOUS CATALYSIS: DATA COLLECTION AND PROCESS DESIGN (opens in a new tab)