Machine learning algorithms for epilepsy detection based on published EEG databases: A systematic review
Epilepsy is the only neurological condition for which electroencephalography (EEG) is the
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …
[HTML][HTML] Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands
An efficient management and better scheduling by the power companies are of great
significance for accurate electrical load forecasting. There exists a high level of uncertainties …
significance for accurate electrical load forecasting. There exists a high level of uncertainties …
Intelligence based accurate medium and long term load forecasting system
In this study, we aim to provide an efficient load prediction system projected for different local
feeders to predict the Medium-and Long-term Load Forecasting. This model improves future …
feeders to predict the Medium-and Long-term Load Forecasting. This model improves future …
[PDF][PDF] Machine learning based congestive heart failure detection using feature importance ranking of multimodal features
In this study, we ranked the Multimodal Features extracted from Congestive Heart Failure
(CHF) and Normal Sinus Rhythm (NSR) subjects. We categorized the ranked features into 1 …
(CHF) and Normal Sinus Rhythm (NSR) subjects. We categorized the ranked features into 1 …
A feature-level degradation measurement method for composite health index construction and trend prediction modeling
W Jiang, Y Xu, Z Chen, N Zhang, X Xue, J Liu, J Zhou - Measurement, 2023 - Elsevier
Accurate measurement of degradation levels and evolution trend for mechanical equipment
has great significance to achieve the goal of condition-based maintenance (CBM) and …
has great significance to achieve the goal of condition-based maintenance (CBM) and …
Analyzing the dynamics of lung cancer imaging data using refined fuzzy entropy methods by extracting different features
Lung cancer is the major cause of cancer-related deaths worldwide with poor survival due to
the poor diagnostic system at the advanced cancer stage. In the past, researchers …
the poor diagnostic system at the advanced cancer stage. In the past, researchers …
An optimized gradient boosting model by genetic algorithm for forecasting crude oil production
EH Alkhammash - Energies, 2022 - mdpi.com
The forecasting of crude oil production is essential to economic plans and decision-making
in the oil and gas industry. Several techniques have been applied to forecast crude oil …
in the oil and gas industry. Several techniques have been applied to forecast crude oil …
Load Forecasting of Electric Power Distribution System using Different Techniques: A Review
CK Mandara, VK Jadoun… - 2022 IEEE Students …, 2022 - ieeexplore.ieee.org
Today's complex civilization requires a steady and constant supply of electrical energy. It's
crucial because electrical power creation necessitates effective management. This is …
crucial because electrical power creation necessitates effective management. This is …
The choice of evaluation metrics in the prediction of epileptiform activity
N Gromov, A Lebedeva, I Kipelkin, O Elshina… - International Conference …, 2023 - Springer
In this study, we investigate the problem of prediction of epileptiform activity from EEG data
using a deep learning approach. We implement LSTM deep neural network and study how …
using a deep learning approach. We implement LSTM deep neural network and study how …
Enhanced Data Processing and Machine Learning Techniques for Energy Consumption Forecasting
Energy consumption plays a significant role in global warming. In order to achieve carbon
neutrality and enhance energy efficiency through a stable energy supply, it is necessary to …
neutrality and enhance energy efficiency through a stable energy supply, it is necessary to …