Search Results - subject:"Machine 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

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

Reducing transaction costs using intraday forecasts of limit order book slopes

Ahabchane, Chahid; Cenesizoglu, Tolga; Grass, Gunnar; … - In: Journal of forecasting 43 (2024) 8, pp. 2982-3008

Persistent link: https://www.econbiz.de/10015110592

Enhancing stock market anomalies with machine learning

Gonçalves de Azevedo, Vitor; Hoegner, Christopher - In: Review of quantitative finance and accounting 60 (2023) 1, pp. 195-230

Persistent link: https://www.econbiz.de/10013548972

Comparative analysis of machine learning models for bankruptcy prediction in the context of Pakistani companies

Máté, Domicián; Raza, Hassan; Ahmad, Ishtiaq - In: Risks : open access journal 11 (2023) 10, pp. 1-17

This article presents a comparative analysis of machine learning models for business failure prediction. Bankruptcy … financial literature by comparing machine learning models tailored to anticipate Pakistani stock market insolvency. These …

Persistent link: https://www.econbiz.de/10014391775