BERKELEY HEIGHTS, NJ, UNITED STATES, October 1, 2025 /EINPresswire.com/ -- Introduction Sachin Dave, Associate Vice President ...
Artificial intelligence is revolutionising quantitative finance, enabling smarter trading through advanced models, feature engineering, and portfolio ...
The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ZEF ...
This study explores the potential of nano-graphene particles for the sustainable manufacturing of concrete. The primary goal is to predict the compressive strength of graphene-incorporated concrete by ...
ABSTRACT: This study explores the growing impact of machine learning (ML) on forensic accounting and fraud detection. As financial transactions and systems become increasingly complex and voluminous, ...
Background: Maternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health ...
He remembers the sweat trickling down his forehead, feeling the weight of his ambitions and the future he’d mapped out. Pablo Torre could see it: a spot in an esteemed law school, a summer clerkship ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Objective: To predict COVID-19 in hospitalized patients with SARS in a city in southern Brazil by using machine learning algorithms. Methods: The study sample consisted of patients ≥ 18 years of age ...
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