Review of Business and Economics StudiesResearch objectives. Contemporary global challenges, such as demographic shifts, the climate crisis, and rapid technological transformation necessitate innovative approaches to managing social security systems.
Mikhail L. Dorofeev
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Comparing the Performance of Algorithmic Trading Systems based on Machine Learning in the Cryptocurrency Market [PDF]
راهبرد مدیریت مالیThe purpose of this research is to use the ensemble learning model to combine the predictions of random forest models, short-term long memory and recurrent neural network to provide an algorithmic trading system based on its.
Emad Koosha +2 more
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Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction
PLoS ONEDiabetes, a chronic condition affecting millions worldwide, necessitates early intervention to prevent severe complications. While accurately predicting diabetes onset or progression remains challenging due to complex and imbalanced datasets, recent ...
Muhammad Rizwan Khurshid +5 more
semanticscholar +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Data-Driven Techniques for Identifying Factors Affecting the Severity of Driver Injuries in Highway-Railway Grade Crossing Accidents: A Comparative Analysis Using Random Forest, XGBoost,and Multinomial Logistic Regression [PDF]
International Journal of Railway ResearchThis study investigates the factors influencing the severity of accidents at highway-rail grade crossings in the United States and explores strategies to mitigate the risks to road vehicle drivers.
Rayehe sadat Mousavi +5 more
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Cultivating clean skies: unveiling the tapestry of air quality in Gujarat through innovative machine learning analysis [PDF]
Big Data and Computing VisionsAir pollution emerges as a formidable threat to both public health and environmental integrity, especially in regions undergoing rapid development. In this context, Gujarat, situated in Western India, grapples with escalating air quality degradation ...
Gaddam Advitha +4 more
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, 2019 Customer churn is a major problem and one of the most important concerns for large companies. Due to the direct effect on the revenues of the companies, especially in the telecom field, companies are seeking to develop means to predict potential customer
Ahmad, Abdelrahim Kasem +2 more
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Enhancing Performance of Credit Card Model by Utilizing LSTM Networks and XGBoost Algorithms
Machine Learning and Knowledge ExtractionThis research paper presents novel approaches for detecting credit card risk through the utilization of Long Short-Term Memory (LSTM) networks and XGBoost algorithms.
Kianeh Kandi, Antonio García Dopico
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
BarekengAccurately predicting stock market trends remains a significant challenge for investors due to its dynamic nature. This study explores the performance of Gradient Boosting models, including XGBoost, XGBoost Random Forest, CatBoost, and Gradient Boosting ...
Delvian Christoper Kho +2 more
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