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2026	Automated waste classification for smart recycling: A multi-class CNN approach with transfer learning and pre-trained models Environmental Technology & Innovation Fatih Gurcan, Ahmet Soylu
2026	Exploring Ecological Footprint Drivers in Africa: Fresh Insights from Advanced Machine Learning Techniques Computational Economics Delphin Kamanda Espoir, Regret Sunge, Andrew Adewale Alola
2026	Carbon Emission Intensity Modeling in Freight Operations Using eXplainable AI in Real-World Conditions ACS Omega Saket Ranjan, Shiva Nagendra Saragur Madanayak
2026	A machine learning framework for predicting fuel consumption and CO2 emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation PLOS One Rania A. Ibrahim, Nahla E. Zakzouk
2026	Projecting Türkiye’s CO2 Emissions Future: Multivariate Forecast of Energy–Economy–Environment Interactions and Anthropogenic Drivers Sustainability Beyza Gudek, Fatih Gurcan, Ahmet Soylu, Akif Quddus Khan
2025	Modeling of CO<sub>2</sub> Emission for Light-Duty Vehicles: Insights from Machine Learning in a Logistics and Transportation Framework Computer Modeling in Engineering & Sciences Sahbi Boubaker, Sameer Al-Dahidi, Faisal S. Alsubaei
2025	Neural Modelling of CO2 Emissions from a Selected Vehicle Applied Sciences Magdalena Rykała
2025	Multi-task deep learning for joint prediction of traffic emissions and travel delay Transportation Research Part D: Transport and Environment Keya Roy, Lok Sang Chan, Xiaocai Zhang, Neema Nassir
2025	Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models Cancers Rukiye Disci, Fatih Gurcan, Ahmet Soylu
2025	Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning Scientific Reports Ahmed El-Sayed Saqr, Mohamed S. Saraya, El-Sayed M. El-Kenawy
2025	2025 24th RoEduNet Conference: Networking in Education and Research (RoEduNet) Medvei Mirabela, Ştefania Ştefănescu, Nicolae Ţăpuş
2025	Carbon emissions prediction based on ensemble models: An empirical analysis from China Environmental Modelling & Software Song Hu, Shixuan Li, Lin Gong, Dan Liu, Zhe Wang, Gangyan Xu
2025	2025 International Russian Automation Conference (RusAutoCon) Sokhobiddin Akhatkulov, Islom Yalgoshev, Zokir Urinboyev
2025	Predictive modelling of vehicular tailpipe emissions using supervised machine learning algorithms Sustainable Transport and Livability Reshmy D.S., Binu Sara Mathew, Swarnalatha K.
2025	Linear B-cell epitope prediction for SARS and COVID-19 vaccine design: Integrating balanced ensemble learning models and resampling strategies PeerJ Computer Science Fatih Gurcan
2024	Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis Cancers Fatih Gurcan, Ahmet Soylu
2024	Towards Carbon Neutrality: Machine Learning Analysis of Vehicle Emissions in Canada Sustainability Xiaoxu Guo, Ruibing Kou, Xiang He
2024	Synthetic Boosted Resampling Using Deep Generative Adversarial Networks: A Novel Approach to Improve Cancer Prediction from Imbalanced Datasets Cancers Fatih Gurcan, Ahmet Soylu