Charles Nicholson
Biographic Data
| ID | 4784669 |
|---|---|
| NAME | Charles Nicholson |
| GIVEN NAMES | Charles |
| FAMILY NAME | Nicholson |
| SIGNATURE | NICHOLSON C |
| AFFILIATIONS | University of Oklahoma |
| ORCID | 0000-0002-7346-0484 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1880 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Calibrated geo-social link prediction for household–school connectivity in community resilience
Machine Learning-Based Prediction of Optimal Building-Level Flood Mitigation Strategies in At-Risk Communities
Flood-prone communities face severe economic and structural losses, necessitating strategic building retrofitting to enhance resilience. However, selecting the most effective mitigation strategies remains challenging due to financial constraints and the varying characteristics of at-risk buildings. While previous studies have explored optimization and machine learning separately for flood mitigation, there is a need for a more integrated approach…
A systemic approach for assessing infrastructure component importance in hazard-prone communities
Multi-objective optimization of mitigation strategies for buildings subject to multiple hazards
Feature Extraction for Heroin-Use Classification Using Imbalanced Random Forest Methods
Background and aims: The National Survey on Drug Use and Health (NSDUH) contains a large number of responses and many features. This study aims to identify features from within NSDUH that are important in classifying heroin use. Proper implementation of random forest (RF) techniques copes with the highly imbalanced nature of heroin usage among respondents to identify features that are prominent in classification models involving nonlinear combina…
Brain Interstitial Structure Revealed Through Diffusive Spread of Molecules
Smallholder dairying under transactions costs in East Africa
The Jamaica Earthquake (1907)
On Some Rock Carvings Found in the Neighbourhood of Sydney
On Some Rock Carvings Found in the Neighbourhood of Sydney
The Jamaica Earthquake (1907)
Smallholder dairying under transactions costs in East Africa
Brain Interstitial Structure Revealed Through Diffusive Spread of Molecules
Feature Extraction for Heroin-Use Classification Using Imbalanced Random Forest Methods
Background and aims: The National Survey on Drug Use and Health (NSDUH) contains a large number of responses and many features. This study aims to identify features from within NSDUH that are important in classifying heroin use. Proper implementation of random forest (RF) techniques copes with the highly imbalanced nature of heroin usage among respondents to identify features that are prominent in classification models involving nonlinear combina…
A systemic approach for assessing infrastructure component importance in hazard-prone communities
Multi-objective optimization of mitigation strategies for buildings subject to multiple hazards
Calibrated geo-social link prediction for household–school connectivity in community resilience
Machine Learning-Based Prediction of Optimal Building-Level Flood Mitigation Strategies in At-Risk Communities
Flood-prone communities face severe economic and structural losses, necessitating strategic building retrofitting to enhance resilience. However, selecting the most effective mitigation strategies remains challenging due to financial constraints and the varying characteristics of at-risk buildings. While previous studies have explored optimization and machine learning separately for flood mitigation, there is a need for a more integrated approach…
Computer Science (4 works) · Engineering (4 works) · Business (3 works) · Geography (3 works) · Biology (2 works) · Economics (2 works) · Environmental Science (2 works) · Geology (2 works) · Infrastructure Resilience and Vulnerability Analysis (2 works) · Psychology (2 works)