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A Multimodal Data-Driven Framework for Failure Analysis and Performance Degradation of Photovoltaic Panels in Smart City Applications
Article
Article
A Multimodal Data-Driven Framework for Failure Analysis and Performance Degradation of Photovoltaic Panels in Smart City Applications
Eren Parladi et al · IEEE · 2026 · ISSN 2169-3536
This study investigates the long-term aging effects and structural degradation mechanisms of photovoltaic (PV) modules integrated into smart city furniture, with a particular focus on panels of 10 W, 25 W, and 40 W nomin...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
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Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning
Article
Article
Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning
Joao Victor do Nascimento Lima et al · IEEE · 2026 · ISSN 2169-3536
Forest growth and yield projection is essential for sustainable forest management planning. In Brazil, the Clutter model is widely applied for yield forecasting and commonly achieves prediction errors below 10%. However,...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
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Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles
Article
Article
Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles
Joyjit Roy et al · IEEE · 2026 · ISSN 2169-3536
Customer churn prediction is essential across data-driven industries such as insurance, digital banking, e-commerce, and subscription platforms, where retaining existing customers is typically more cost-effective than ac...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
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