Search Results - subject:"Learning models"

Optimizing machine learning models for wheat yield estimation using a comprehensive UAV dataset

Khodjaev, Shovkat; Bobojonov, Ihtiyor; Kuhn, Lena; … - In: Modeling Earth Systems and Environment 11 (2025)

Timely and accurate wheat yield forecasts using Unmanned Aircraft Vehicles (UAV) are crucial for crop management decisions, food security, and ensuring the sustainability of agriculture worldwide. While traditional machine learning algorithms have already been used in crop yield modelling,...

Persistent link: https://www.econbiz.de/10015177008

Sector-specific financial forecasting with machine learning algorithm and SHAP interaction values

Ergenç, Cansu; Aktaş, Rafet - In: Financial internet quarterly 21 (2025) 1, pp. 42-66

This study examines the application of machine learning models to predict financial performance in various sectors … finance. A range of machine learning models, including Linear Regression, Ridge, Lasso, Decision Tree, Bagging, Random Forest …

Persistent link: https://www.econbiz.de/10015393631

A machine learning approach to predict bankruptcy in Chinese companies with ESG integration

Raza, Hassan - In: Pakistan Journal of Commerce and Social Sciences (PJCSS) 18 (2024) 2, pp. 335-357

integrating various tools such as classical statistics methods and state-of-the-art new machine learning models. For a comparative … analysis seven machine learning models have been employed, such as Logistic Regression, Decision Trees, Support Vector Machines …

Persistent link: https://www.econbiz.de/10015048698

Forecasting bank failure in the U.S. : a cost-sensitive approach

Ekinci, Aykut; Sen, Safa - In: Computational economics 64 (2024) 6, pp. 3161-3179

Persistent link: https://www.econbiz.de/10015144192

Machine learning algorithms for predicting unemployment duration in Russia

Maigur, Anna A. - In: Russian journal of economics 10 (2024) 4, pp. 365-384

Predictions of the individual unemployment duration will allow to distribute target support while searching for a job more effectively. The paper uses survival models to predict the unemployment duration based on data from Russian employment centers in 2017-2021. The dataset includes...

Persistent link: https://www.econbiz.de/10015396287

Advanced financial market forecasting : integrating Monte Carlo simulations with ensemble Machine Learning models

Deep, Akash - In: Quantitative finance and economics 8 (2024) 2, pp. 286-314

Persistent link: https://www.econbiz.de/10015133043

Enhancing supply chain resilience : RIME-clustering and ensemble deep learning strategies for late delivery risk prediction

Douaioui, Kaoutar; Oucheikh, Rachid; Mabrouki, Charif - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 20 (2024) 1, pp. 55-71

Persistent link: https://www.econbiz.de/10014520011

Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption

Zaidan, Esmat; Abulibdeh, Ammar; Jabbar, Rateb; Onat, … - In: Energy strategy reviews 52 (2024), pp. 1-22

CF model predictions by employing three distinct machine-learning models. Spatial analyses were conducted to identify …

Persistent link: https://www.econbiz.de/10014583312

A machine learning approach to predict bankruptcy in Chinese companies with ESG integration

Mehwish Kaleem; Hashim Jusoh; Raza, Hassan; Misbah Sadiq; … - In: Pakistan journal of commerce and social sciences 18 (2024) 2, pp. 335-357

Persistent link: https://www.econbiz.de/10014634902

Early warning system for debt group migration : the case of one commercial Bank in Vietnam

Quoc Hung Nguyen; Hoang Viet Trinh; Truong Viet Phuong; … - In: Foundations of Management : the journal of Warsaw … 16 (2024) 1, pp. 195-216

This study utilizes machine learning models, including Logistic Regression, Support Vector Machine, Decision Tree, and …

Persistent link: https://www.econbiz.de/10015073378

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