Depression symptoms are comparable to Parkinson’s disease symptoms, including attention deficit, fatigue, and sleep disruption, as well of dementia such apathy. As a result, it is difficult for caregivers diagnose depression early. We examined LIME-based stacking ensemble model predict the patients with disease. This study used epidemiologic data (EPD) from Korea Disease Control Prevention Agen...

Battery state of health (SOH) estimation is a prerequisite for battery management and vital second-life utilization. Existing techniques implemented in well-controlled experimental conditions fail to reflect complex working during actual vehicular operation. In this article, novel SOH method systems real-world electric vehicles (EVs) presented by combing results regional capacity calculation li...

The Internet of Things (IoT) is one the technologies used in many fields today. Cyber attacks against IoT/Industrial IoT (IIoT) networks, which are increasingly thanks to convenience it provides, constantly increasing. Detection IoT/IIoT networks popular topics recently. development a dataset for applications essential intrusion detection networks. In this context, ToN_IoT created laboratory UN...

Recent years have seen the rapid deployment of Artificial Intelligence (AI) which allows systems to take intelligent decisions. AI breakthroughs could radically change modern libraries' operations. However, introducing in libraries is a challenging task. This research explores potential for smart improve caliber user services through use machine learning (ML) techniques. The proposed work inves...

This paper focuses on sea surface wind speed estimation using L1B level v3.1 data of reflected GNSS signals from the Cyclone (CYGNSS) mission and European Centre for Medium-range Weather Forecast Reanalysis (ECMWF) data. Seven machine learning methods are applied retrieval, i.e., Regression trees (Binary Tree (BT), Ensembles Trees (ET), XGBoost (XGB), LightGBM (LGBM)), ANN (Artificial neural ne...

This paper presents an approach to predict crosswind force spectra and associated response of tall buildings with rectangular cross-section based on machine learning (ML) technique random vibration-based analysis. An efficient ML algorithm, light gradient boosting (LGBM), was trained the by using database from Wind Engineering Research Center at Tamkang University embedded in aerodynamic NatHaz...

As the penetration of renewable energy sources into a power system increases, significance precise short-term forecasts for wind generation becomes paramount. However, erratic and non-periodic nature poses challenges in accurately predicting output. This paper presents comprehensive investigation forecasting following day, using three machine learning models: long memory (LSTM), convolutional n...

The technical improvements in healthcare sector today have given rise to many new inventions the field of artificial intelligence. Patterns for disease identification are carried out, and onset prediction diseases is detected. Diseases include diabetes mellitus disease, fatal heart diseases, symptomatic cancer. There algorithms that played a critical role diseases. This paper proposes an ML bas...

The implementation of tree-ensemble models has become increasingly essential in solving classification and prediction problems. Boosting ensemble techniques have been widely used as individual machine learning algorithms predicting house prices. One the is LGBM algorithm that employs leaf wise growth strategy, reduces loss improves accuracy during training which results overfitting. However, XG...