Prediction of voltage sag relative location with data-driven algorithms in distribution grid

Y Yalman, T Uyanık, İ Atlı, A Tan, KÇ Bayındır, Ö Karal… - Energies, 2022 - mdpi.com
Power quality (PQ) problems, including voltage sag, flicker, and harmonics, are the main
concerns for the grid operator. Among these disturbances, voltage sag, which affects the …

A Machine Learning Perspective on Daisy and Dandelion Classification: Gaussian Naive Bayes with Sobel

CD Suhendra, E Najwaini, E Maria… - Indonesian Journal of …, 2023 - jurnal.yoctobrain.org
This study explores the classification of Daisy and Dandelion flowers using a Gaussian
Naive Bayes classifier, enhanced by Sobel segmentation and Hu moment feature extraction …

Predictive modelling of chronic kidney disease using gaussian naive bayes algorithm

MF Azizah, AT Paramitha - International Journal of Artificial …, 2024 - jurnal.yoctobrain.org
Abstract Chronic Kidney Disease (CKD) is a critical global health issue, characterized by
significant morbidity and mortality. Early detection is vital for effective management and …

Predicting Critical Path of Labor Dispute Resolution in Legal Domain by Machine Learning Models Based on SHapley Additive exPlanations and Soft Voting Strategy

J Guan, Z Yu, Y Liao, R Tang, M Duan, G Han - Mathematics, 2024 - mdpi.com
The labor dispute is one of the most common civil disputes. It can be resolved in the order of
the following steps, which include mediation in arbitration, arbitration award, first-instance …

A fused multi-subfrequency bands and CBAM SSVEP-BCI classification method based on convolutional neural network

D Lei, C Dong, H Guo, P Ma, H Liu, N Bao, H Kang… - Scientific Reports, 2024 - nature.com
For the brain-computer interface (BCI) system based on steady-state visual evoked potential
(SSVEP), it is difficult to obtain satisfactory classification performance for short-time window …

Machine learning techniques for predicting and classifying exchange rates between US Dollars and Japanese Yen

M El Mahjouby, K El Fahssi, MT Bennani… - … , Technology & Applied …, 2024 - etasr.com
The prediction of fluctuations in foreign exchange prices is a well-researched and well-
known field in finance. Using machine-learning techniques to evaluate and forecast …

Forest Fire Disaster Classification Using Artificial Neural Network Method

FP Sitorus, A Sunyoto, B Setiaji - 2023 6th International …, 2023 - ieeexplore.ieee.org
One of the leading causes of forest destruction is forest fires. In Indonesia, forest fires have
caused forest damage to 354,582 hectares in 2022, or an increase of 19.4% from 296,942 …

Machine Learning Algorithms for Forecasting and Categorizing euro-to-dollar Exchange Rates

M El Mahjouby, MT Bennani, M Lamrini, M El Far… - IEEE …, 2024 - ieeexplore.ieee.org
Forecasting changes in foreign exchange rates is a well-explored and widely recognized
area within finance. Numerous research endeavors have delved into the utilization of …

Imbalanced Data Classification Based on Improved Random-SMOTE and Feature Standard Deviation

Y Zhang, L Deng, B Wei - Mathematics, 2024 - mdpi.com
Oversampling techniques are widely used to rebalance imbalanced datasets. However,
most of the oversampling methods may introduce noise and fuzzy boundaries for dataset …

[PDF][PDF] Applied Mathematics and Nonlinear Sciences

L Jiang - Applied Mathematics and Nonlinear Sciences, 2024 - sciendo.com
The purpose of this paper is to explore the effective monitoring and countermeasures of low-
altitude UAVs through multisensor coordination so as to escort the sustainable development …