Prediction Model based on Bagging and BoostingEnsemble Technique for Decision Support Systemof Autonomous Smart IIoT Smart AquaponicSystem

A study on the knowledge-based information system for evacuation situation awareness in the case of fire

Lung Cancer Segmentation with Three-Parameter Logistic Type Distribution Model

Generating Time-Series Data Using Generative Adversarial Networks for Mobility Demand Prediction

Prospective Submodule Topologies for MMC-BESS and Its Control Analysis with HBSM

A Synthetic Data Generation Technique for Enhancement of Prediction Accuracy of Electric Vehicles Demand

Early Life Stress Detection Using Physiological Signals and Machine Learning Pipelines

XGBoost-Based Remaining Useful Life Estimation Model with Extended Kalman Particle Filter for Lithium-Ion Batteries

Prediction of the Battery State Using the Digital Twin Framework Based on the Battery Management System

EEG-Based Emotion Classification Using Stacking Ensemble Approach