Valorization of fish processing industry waste for biodiesel production: Opportunities, challenges, and technological perspectives

KK Jaiswal, S Dutta, I Banerjee, KS Jaiswal… - Renewable Energy, 2024 - Elsevier
The fish industry is one of the fastest-growing industries in the world, which generates
massive waste, and its unsafe disposal may pose severe health and environmental hazards …

[HTML][HTML] Modeling and optimization of anaerobic digestion technology: Current status and future outlook

T Kegl, ET Jiménez, B Kegl, AK Kralj, M Kegl - Progress in Energy and …, 2025 - Elsevier
Anaerobic digestion (AD) is an important technology that can be engaged to produce
renewable energy and valuable products from organic waste while reducing the net …

Machine learning models for ecofriendly optimum design of reinforced concrete columns

Y Aydın, G Bekdaş, SM Nigdeli, Ü Isıkdağ, S Kim… - Applied Sciences, 2023 - mdpi.com
CO2 emission is one of the biggest environmental problems and contributes to global
warming. The climatic changes due to the damage to nature is triggering a climate crisis …

Projection of future precipitation change using CMIP6 multimodel ensemble based on fusion of multiple machine learning algorithms: A case in Hanjiang River Basin …

D Wang, J Liu, Q Luan, W Shao, X Fu… - Meteorological …, 2023 - Wiley Online Library
Projecting precipitation changes is essential for researchers to understand climate change
impacts on hydrological cycle. This study projected future precipitation over the Hanjiang …

[HTML][HTML] Yield Prediction of Winter Wheat at Different Growth Stages Based on Machine Learning

Z Lou, X Lu, S Li - Agronomy, 2024 - mdpi.com
Accurate and timely prediction of crop yields is crucial for ensuring food security and
promoting sustainable agricultural practices. This study developed a winter wheat yield …

[HTML][HTML] Prediction of Rock Fracture Pressure in Hydraulic Fracturing with Interpretable Machine Learning and Mechanical Specific Energy Theory

X Zhuang, Y Liu, Y Hu, H Guo, BH Nguyen - Rock Mechanics Bulletin, 2024 - Elsevier
Hydraulic fracturing stimulation technology is essential in the oil and gas industry. However,
current techniques for predicting rock fracture pressure in hydraulic fracturing face significant …

The State of Art in Machine Learning Applications in Civil Engineering

Y Aydin, G Bekdaş, Ü Işıkdağ, SM Nigdeli - Hybrid Metaheuristics in …, 2023 - Springer
Abstract Machine learning (ML) is one of the methods used by the artificial intelligence
approach. Machine learning is used to teach machines how to handle data more efficiently …

No country for old men (or women): The impact of migration on pension funding adequacy and sustainability

T Poufinas, JM Chen, C Agiropoulos… - Available at SSRN …, 2022 - papers.ssrn.com
Retirement security is of paramount importance to working people. Adequate retirement
income is also a leading concern for private and public pension systems. Pension funding …

A Quantitative Analysis of the Impact of European Promotion Banks on the Competition of EU Countries through Linear Conventional and Machine Learning Methods

C Agiropoulos - SPOUDAI Journal of Economics and Business, 2023 - spoudai.org
In recent years, there has been a growing demand for European Promotional Banks to
become more efficient and effective in their activities. Their role is to support small and …

Relevance, Redundancy, and Regularization: Penalized Regression and the Quest for the ℓ₀ Quasi-Norm

JM Chen - Available at SSRN 4188299, 2022 - papers.ssrn.com
The vector of a linear model's coefficients represents the clearest guide to causal inference.
Collinearity among variables, however, undermines the interpretation of that model. A wildly …