CNN for Elephant Intrusion Detection
Utilizing Convolutional Neural Network Technology (YOLOv5) to monitor and prevent wild elephant intrusions into agricultural areas.
Read Paper →Papers and publications drawn from the academic archive.
Utilizing Convolutional Neural Network Technology (YOLOv5) to monitor and prevent wild elephant intrusions into agricultural areas.
Read Paper →Proposing an anti-theft alarm system applying IoT with multiple sensors and behavioral analysis to alert owners via LINE.
Read Paper →Developing a face detection time recording system in Python and OpenCV to efficiently mark student class attendance.
Read Paper →A shuttle bus tracker calculating passenger count and bus location using ultrasonic sensors and GPS with the WeMos IoT platform.
Read Paper →Analyzing the safety and potential vulnerabilities of websites operated by various provincial organizational sectors using Acunetix.
Read Paper →Deploying ultrasonic continuous monitoring and predicting flood areas visually via Google Maps API, alerting leaders on Line.
Read Paper →A comprehensive stolen-property prevention check system designed to read RFID tags and alert authorities during border transfers.
Read Paper →Establishing an automated weather condition enclosure and environmental sensing system for optimum agricultural cultivation.
Read Paper →Refactoring architecture limitations in Moodle by applying HTML export methodologies to sharply elevate server loading speeds.
Read Paper →Presenting a reliable approximate search model to refine and increase precision with Manhattan Distance Measurements on databases.
Read Paper →Engineering a comprehensive Prolog logic-based model to perform sentence boundary identification, integrating repairing features.
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