Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
Abstract: Generative models (GMs), particularly large language models (LLMs), have garnered significant attention in machine learning and artificial intelligence for their ability to generate new data ...
The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...
ABSTRACT: This research paper delves into the tactical integration of Artificial Intelligence (AI) within the framework of Human Resource Management (HRM), with a specific focus on a case study that ...
Background: The rapid advancement of technology has brought numerous benefits to public health but has also contributed to a rise in sedentary lifestyles, linked to various health issues. As prolonged ...
Abstract: This paper explores Fuzzy Random Forests, a machine learning approach for classification tasks that combines ensemble classifiers, randomness, and fuzzy logic. Ensemble classifiers provide ...
Machine learning (ML) is a subset of AI where a system learns patterns from data and makes decisions without being explicitly programmed for each outcome. In software development, this technology ...
Background: Medication adherence plays a crucial role in determining the health outcomes of patients, particularly those with chronic conditions like type 2 diabetes. Despite its significance, there ...
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