Investigating Ensemble Learning Methods for Predicting Water Quality Index -- Age-Invariant Face Recognition Based on Self-Supervised Learning -- Detection of Kidney Stone Based on Super Resolution Techniques and YOLOv7 Under Limited Training Samples -- Hardware-Based Lane Detection System Architecture for Autonomous Vehicles -- Video Classification Based on the Behaviors of Children in Pre-School Through Surveillance Cameras -- Land Subsidence Susceptibility Mapping Using Machine Learning in the Google Earth Engine Platform -- Building an AI-Powered IoT App for Fall Detection Using Yolov8 Approach -- Seam Puckering Level Classification Using AIoT Technology -- Classification of Pneumonia on Chest X-Ray Image Using Transfer Learning -- Bayesian Approach for Static Object Detection and Localization in Unmanned Ground Vehicles -- Diabetic Retinopathy Diagnosis Leveraging Densely Connected Convolutional Networks and Explanation Technique -- Deep Learning Approach for Inundation Area Detection UsingSentinel Data -- Classification of Raisin Grains Based on Ensemble Learning Techniques in Machine Learning -- An Effective Deep Learning Model for Detecting Plant Diseases Using a Natural Dataset for the Agricultural IoT System -- Real-Time Air Quality Monitoring System Using Fog Computing Technology -- An Intelligent Computing Method for Scheduling Projects with Normally Distributed Activity Times.