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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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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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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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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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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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Video watermarking of live streamed MPEG-4 frames using ELM-Fuzzy-PSO hybrid scheme
The widespread expansion of internet and digital sharing of multimedia content has led to a huge rise in security concerns like ownership, content...
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ECG signal classification to detect heart arrhythmia using ELM and CNN
The cardiovascular disease is the one of the major cause of death in the today’s world. The Holter recorder is used to monitor the Electrocardiogram...
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Hardware Implementation of MRO-ELM for Online Sequential Learning on FPGA
This paper presents a parallel hardware accelerator for an online variant of the extreme learning machine (ELM) algorithm, called mixed-norm...
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Nonlinear ELM estimator-based path-following control for perturbed unmanned marine systems with prescribed performance
This paper is concerned with the robust path-following control problem for a class of perturbed unmanned marine systems with prescribed performance...
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Empirical validation of ELM trained neural networks for financial modelling
The purpose of this work is to compare predictive performance of neural networks trained using the relatively novel technique of training single...
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ELM-based data distribution model in ElasticChain
Blockchain technology is becoming familiar to the public, along with the widespread use of cryptocurrency. The blockchain protocol requires that full...
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ECG signal classification and arrhythmia detection using ELM-RNN
Arrhythmia is a unique type of heart disease which produces inefficient and irregular heartbeat. This is a cardiac disease which is diagnosed through...
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Mine Microseismic Time Series Data Integrated Classification Based on Improved Wavelet Decomposition and ELM
Coal mine accidents induced by large energy microseisms are frequent and common. Classification of mine microseismic events is an important part of...
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Enforcement of DNN with LDA-PCA-ELM for PIE Invariant Few-Shot Face Recognition
Face Recognition has been an active area of research but limited work has been done in the domains where the captured face images are of very low...
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Classification of EEG Signals Based on GA-ELM Optimization Algorithm
There are many unpredictable problems in motion visualization and observation in BCI system, such as interference from external noise and visual...
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A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates
Tight carbonate reservoirs appear to be heterogeneous due to the patchy production of various digenetic properties. Consequently, the permeability...
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Prediction Accuracy of Direction Changes with ELM, MLP and LSTM on the Example of Exchange Rates
This paper aims to test the accuracy of neural network forecasts depending on the hyperparameters used, using selected exchange rates as an example....
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A Novel Feature Selection Based Text Classification Using Multi-layer ELM
Deep learning architectures used for text classification are becoming increasingly prevalent. However, the existing deep architectures have flaws...