Lauren McMillan
Dados Biográficos
| ID | 6405344 |
|---|---|
| NOME | Lauren McMillan |
| PRENOMES | Lauren |
| SOBRENOME | McMillan |
| ASSINATURA | MCMILLAN L |
| AFILIAÇÕES | University College London |
| ORCID | 0000-0003-3851-8019 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2014 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 1 |
Definitions and taxonomy for High Impact Low Probability (Hilp) and outlier events
High Impact Low Probability events (HILPs) , often referred to as outliers, are becoming more important in disaster management because they are linked to complex risks and tipping points in interconnected systems. Recent events, such as the cascading effects of the coronavirus pandemic, rising uncertainties from global geopolitical instability, and successive and concurrent extremes driven by climate change, underscore the limitations of relying …
Exploring how an e-cigarette intervention influenced tobacco smoking behaviour in people accessing homelessness services
For people accessing homelessness support centres, smoking abstinence remains challenging. More intensive support and a variety of approaches to support smoking cessation, particularly those which address the psychosocial factors which hinder smoking abstinence, may be required. Future research should focus on how this can be achieved
Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering
Reducing pipe leakage is one of the top priorities for water companies, with many investing in higher quality sensor coverage to improve flow forecasting and detection of leaks. Most research on this topic is focused on leakage detection through the analysis of sensor data from district metered areas (DMAs), aiming to identify bursts after their occurrence. This study is a step towards the development of ‘self-healing’ water infrastructure system…
Reassessing the Hallowes Site
Dating Methods and Techniques at the John Hallowes Site (44WM6)
The John Hallowes site (44WM6) in Westmoreland County, Virginia, was excavated between July 1968 and August 1969. No report of the excavations was completed at that time, although an article summarizing the findings was published in Historical Archaeology in 1971, dating the site’s occupation to the period from the 1680s to 1716. From 2010 to 2012, a systematic reanalysis of the site, features, history, and artifacts was conducted by archaeologis…
Dating Methods and Techniques at the John Hallowes Site (44WM6)
The John Hallowes site (44WM6) in Westmoreland County, Virginia, was excavated between July 1968 and August 1969. No report of the excavations was completed at that time, although an article summarizing the findings was published in Historical Archaeology in 1971, dating the site’s occupation to the period from the 1680s to 1716. From 2010 to 2012, a systematic reanalysis of the site, features, history, and artifacts was conducted by archaeologis…
Reassessing the Hallowes Site
Dating Methods and Techniques at the John Hallowes Site (44WM6)
The John Hallowes site (44WM6) in Westmoreland County, Virginia, was excavated between July 1968 and August 1969. No report of the excavations was completed at that time, although an article summarizing the findings was published in Historical Archaeology in 1971, dating the site’s occupation to the period from the 1680s to 1716. From 2010 to 2012, a systematic reanalysis of the site, features, history, and artifacts was conducted by archaeologis…
Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering
Reducing pipe leakage is one of the top priorities for water companies, with many investing in higher quality sensor coverage to improve flow forecasting and detection of leaks. Most research on this topic is focused on leakage detection through the analysis of sensor data from district metered areas (DMAs), aiming to identify bursts after their occurrence. This study is a step towards the development of ‘self-healing’ water infrastructure system…
Definitions and taxonomy for High Impact Low Probability (Hilp) and outlier events
High Impact Low Probability events (HILPs) , often referred to as outliers, are becoming more important in disaster management because they are linked to complex risks and tipping points in interconnected systems. Recent events, such as the cascading effects of the coronavirus pandemic, rising uncertainties from global geopolitical instability, and successive and concurrent extremes driven by climate change, underscore the limitations of relying …
Exploring how an e-cigarette intervention influenced tobacco smoking behaviour in people accessing homelessness services
For people accessing homelessness support centres, smoking abstinence remains challenging. More intensive support and a variety of approaches to support smoking cessation, particularly those which address the psychosocial factors which hinder smoking abstinence, may be required. Future research should focus on how this can be achieved
Computer Science (3 obras) · American Environmental and Regional History (2 obras) · Anomaly Detection Techniques and Applications (2 obras) · Archaeology (2 obras) · Artificial Intelligence (2 obras) · Excavation (2 obras) · Historical and Cultural Archaeology Studies (2 obras) · Historical archaeology (2 obras) · History (2 obras) · History (2 obras)