Class-overlap undersampling based on Schur decomposition for Class-imbalance problems

Q Dai, J Liu, Y Shi - Expert Systems with Applications, 2023 - Elsevier
The class-imbalance problem is an important area that plagues machine learning and data
mining researchers. It is ubiquitous in all areas of the real world. At present, many methods …

ML-based pre-deployment SDN performance prediction with neural network boosting regression

W Jiang, H Han, M He, W Gu - Expert Systems with Applications, 2024 - Elsevier
Software defined networking (SDN) has been proposed as an effective approach to improve
network management efficiency and increase network intelligence in various networks …

Ensemble machine learning-based approach with genetic algorithm optimization for predicting bond strength and failure mode in concrete-GFRP mat anchorage …

A Mahmoudian, N Tajik, MM Taleshi, M Shakiba… - Structures, 2023 - Elsevier
Glass fiber-reinforced polymer (GFRP) bar reinforced concrete structures are susceptible to
bonding failure because of the low bond strength between GFRP bars and concrete. In this …

Intelligent prediction model of mechanical properties of ultrathin niobium strips based on XGBoost ensemble learning algorithm

ZH Wang, YF Liu, T Wang, JG Wang, YM Liu… - Computational Materials …, 2024 - Elsevier
Ultrathin niobium strips with different thicknesses are prepared by an accumulative rolling
process. The tensile test of the ultrathin niobium strips is carried out, and the microstructure …

Estimation of syngas yield in hydrothermal gasification process by application of artificial intelligence models

Y Ayub, Y Hu, J Ren - Renewable Energy, 2023 - Elsevier
Quality syngas production with higher moles of hydrogen and methane are the primary
objective of gasification process which is dependent upon the process parameters and …

Modelling biochemical oxygen demand in a large inland aquaculture zone of India: Implications and insights

TV Nagaraju, GS Bala, S Bonthu, S Mantena - Science of The Total …, 2024 - Elsevier
Water quality surveillance is tough, and a specific timely management is necessary for the
inland aquaculture ponds and ecology as well. Real time quality monitoring involves the …

An emission predictive system for CO and NOx from gas turbine based on ensemble machine learning approach

N Pachauri - Fuel, 2024 - Elsevier
The gas turbine in a combined cyclic power plant (CCPP) produces harmful gases like
carbon monoxide (CO) and nitrogen oxide (NOx) into the atmosphere. It is evident to monitor …

Spatial risk assessment of maritime transportation in offshore waters of China using machine learning and geospatial big data

X Zhou - Ocean & Coastal Management, 2024 - Elsevier
Maritime transportation plays a crucial role in global trade and economic development.
However, this industry is exposed to various risks (eg, natural disasters), which can cause …

Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting

M Karbasi, M Ali, AA Farooque, M Jamei… - Expert Systems with …, 2024 - Elsevier
Drought stands as a highly perilous natural catastrophe that impacts numerous facets of
human existence. Drought data is nonstationary and noisy, posing challenges for accurate …

Prediction of cotton FPAR and construction of defoliation spraying prescription map based on multi-source UAV images

L Zhang, B Sun, D Zhao, C Shan, G Wang… - … and Electronics in …, 2024 - Elsevier
Efficient and accurate spraying of cotton defoliant is a vital part of cotton production; the
traditional way of spraying cotton defoliant will cause waste of pesticides and environmental …