Intelligence of Things: Technologies and Applications

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.