Construction project equipment are subject to several types of breakdowns throughout the project duration. As a result, contractors and equipment operators are keen to establish and adopt effective equipment maintenance ...
Arabic dialogue generation presents unique challenges due to the language's rich
morphology and the scarcity of data resources. Recent advances have employed metalearning to facilitate fast adaptation of language models ...
Petroleum and its products undergo large-scale production, transportation, and storage which makes them prone to spills and leakages into the environment. Petroleum contamination in terrestrial environments, particularly ...
Automatic personality detection from text has gained interest since researchers discovered that linguistic style can be an indicator of personality. However, accurate personality classification remains a challenging task, ...
The proliferation of Hate Speech on social media platforms has been increasing recently,
causing severe adverse effects on victims’ mental health and well-being. This serious
phenomenon requires updated automated detection ...
Building student career identity is central to the mission of higher education. Career decisions are taken at young ages and involve both immediate and long-term costs and benefits. Previous work on nudging interventions ...
The derivation of a hydrodynamic model for a certain physical system is normally done by utilizing symmetry arguments and first principles. The model is then validated through experimental observations. Such a classical ...
The accumulation of heavy metals in the soil can adversely affect its microbial biomass and
enzyme activities. Heavy metals can be transferred to plants, causing phytotoxicity. Additionally,
heavy metals can be transmitted ...
Introduction Child obesity, defined as the BMI at or above the 95th percentile for children of same age and sex is steadily climbing the ladder of public health concern. With child obesity manifesting in our society, it ...
Background. Human Resource departments hire employees based on behavioral and technical assessments, but sometimes these decisions can be biased. Firms incur losses in terms of time and hiring costs when an employee resigns. ...
Open-domain dialogue agents are systems that can converse with users on any topic of user’s choice. Having such types of agents has been a long standing objective in Artificial Intelligence as they can make the human-computer ...
Ideology is defined as the set of attitudes or beliefs shared by members of a social
group. While news agencies cover events of death and violence, the way these events
get framed has a direct impact on how societies respond ...
The rise of Artificial Intelligence (AI) and Machine Learning (ML) has had a profound impact on various industries. As self-learning and autonomous systems are increasingly relied upon to make decisions, the safety and ...
Structures, ranging from bridges to pipelines, frequently encounter various impact events that can jeopardize their integrity. For example, a pipeline might experience impacts from falling debris during a construction ...
This dissertation develops methods that combine the advantages of discrete choice models and machine learning methods into interpretable econometric models. The aim is to enhance the predictive power of discrete choice ...
The practice of medicine has evolved significantly during the past decade, with the
emergence of new diagnostic and prognostic tools allowing for a better implementation
of “precision medicine”. Among these tools is Machine ...
Rutting is one of the critical distresses affecting the safety and serviceability of flexible pavements. Modeling the progression of rutting remains a challenge due to its numerous interacting factors. There exist many ...
Time-series presents an important class of data in our everyday life and is becoming predominant with the abundance of sensors and IoT devices, which as a result has created opportunities for new machine learning (ML) ...
Recent developments enabled chatbots to be an essential part of people’s daily lives from asking general questions about the weather to booking movie tickets. Chatbots can be classified into open-domain bots or task-oriented ...
This thesis revisits the existing empirical evidence on the predictability
of systemic banking crises using machine learning methods with a particular emphasis
on Lebanon's crisis of 2019.
More specifically, the dataset ...