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Proceedings of ELM 2022 Theory, Algorithms and Applications
This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs)...
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Aero-optic imaging deviation prediction based on ISSA-ELM
When the aircraft is moving at high speed in the atmosphere, aero-optical imaging deviation will appear due to the influence of aero-optical effect....
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Proceedings of ELM 2021 Theory, Algorithms and Applications
This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15–16, 2021....
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A Mine Water Source Prediction Model Based on LIF Technology and BWO-ELM
The traditional methods for identifying water sources in coal mines lack the ability to quickly detect water sources and are prone to causing...
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Large-signal behavior modeling of GaN HEMTs using SSA augmented ELM algorithm
The machine-learning algorithm is a technology that can learn from data. It can solve some problems that are difficult for humans to design and use...
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Fault diagnosis of gearbox based on Fourier Bessel EWT and manifold regularization ELM
The novel fault diagnosis method of gearbox based on Fourier Bessel series expansion-based empirical wavelet transform (FBEWT) and manifold...
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Xavier-PSO-ELM-based EEG signal classification method for predicting epileptic seizures
Epilepsy represents one of the most common neurological diseases that affects a substantial number of individuals worldwide, which is characterized...
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ELM: a novel ensemble learning method for multi-target regression and multi-label classification problems
In this paper, a new Ensemble Learning Method (ELM) is proposed to deal with multi-target regression and multi-label classification problems. In ELM,...
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Decreased peri-parafoveal RPE, EZ and ELM intensity: A novel predictive biomarker for hydroxychloroquine retinal toxicity
PurposeTo evaluate the reflectivities of the retinal pigment epithelium (RPE), ellipsoid zone (EZ), and external limiting membrane (ELM) in the...
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CEEMD-LASSO-ELM nonlinear combined model of air quality index prediction for four cities in China
Air pollution prevention and control is an important way to eliminate haze, and air quality prediction can provide predictive information for air...
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Weighted binary ELM optimized by the reptile search algorithm, application to credit card fraud detection
Binary classification tasks often face challenges due to imbalanced datasets. The Weighted Binary Extreme Learning Machine (WB-ELM) has emerged as a...
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Vegetation responses to pathogen-induced tree loss: Swedish elm and ash forests revisited after 32 years
Invasive fungal pathogens are an increasing problem globally and can cause strong effects on forest ecosystems. In this study, we contrast vegetation...
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Processing of digital mammogram images using optimized ELM with deep transfer learning for breast cancer diagnosis
The mortality of breast cancer is more among women besides lung cancer. However, the survival rates of breast cancer can be increased when there is a...
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Examining generative AI user disclosure intention: an ELM perspective
Generative AI needs to collect massive information including personal information to train the model and improve the accuracy of answers. This may...
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A hybrid deep learning CNN-ELM approach for parking space detection in Smart Cities
With each passing day, the number of smart vehicles is increasing manifold, hence, automatic/automated parking lot detection is gaining a lot of...
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Zero-Norm ELM with Non-convex Quadratic Loss Function for Sparse and Robust Regression
Extreme learning machine (ELM) is a machine learning technique with simple structure, fast learning speed, and excellent generalization ability,...
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Recent advances in develo** natural and impurity-induced small/no-ELM H-mode regimes in EAST
One critical issue in steady-state and high-performance operation in future tokamak fusion reactors is to develop H-mode operational regimes that...
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A Review of Copper and Nickel Extraction from Wastewater by Emulsion Liquid Membrane (ELM)
Over the past few decades, ELM based separation processes have become an attractive and efficient way to remove toxic metal ions from the various...
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Enhanced Online Strip Crown Prediction Model Based on KCGAN-ELM for Imbalanced Dataset
The strip crown directly affects the quality of strip steel. To enhance online crown control and product quality, an accurate and efficient strip...
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Permutation Entropy and K-ELM in Gear Fault Diagnosis
For Learning Machine Extreme the number of hidden layer nodes artificially set and the fault classification model of the gear is of low accuracy and...