Assessing Accident Risk using Ordinal Regression and Multinomial Logistic Regression Data Generation
Abstract: Robust and accurate modeling of motor vehicle accident and injury severities have significant impact on transportation safety and economy. The capability to assess accident risk based on ...
SAN JOSÉ, Costa Rica--(BUSINESS WIRE)--Logistic Properties of the Americas (NYSE American: LPA) (together with its subsidiaries, “LPA” or the “Company”), announced today its unaudited consolidated ...
Abstract: With the increasing importance of digital security in the current world of finance, it is a must to find ways to implement artificial intelligence techniques to detect financial fraud ...
ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
ABSTRACT: Elderly individuals undergoing long-term neuroleptic therapy are increasingly vulnerable to cognitive decline, a condition that significantly impairs quality of life and increases healthcare ...
The Army operates in complex operational environments and faces unprecedented challenges that create adversity for sustainment capabilities. Evolving threats, contested logistics, and the tyranny of ...
In this Upgrad/IIIT-B Capstone project, we navigated the complex landscape of credit card fraud, employing advanced machine learning techniques to bolster banks against financial losses. With a focus ...
Credit Card Fraud Detection: An ML project on credit card fraud detection using various ML techniques to classify transactions as fraudulent or legitimate. This project involves data analysis, ...
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