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คณะเทคโนโลยีการเกษตร
Supplementing broilers with different levels of fructooligosaccharides (FOS) under stress conditions, such as higher stocking densities and recycled litter that were not a significant difference in broiler performance, carcass quality and meat quality between the FOS-supplemented groups and the control group (p>0.05). FOS supplementation improved intestinal health by increasing the villus height to crypt depth ratio Lactobacillus populations increased, and Escherichia coli decreased with FOS supplementation. The heterophil-to-lymphocyte ratio was reduced which indicated lower stress.
คณะเทคโนโลยีสารสนเทศ
This research presents the development of an AI-powered system designed to automate the identification and quantification of dental surgical instruments. By leveraging deep learning-based object detection, the system ensures the completeness of instrument sets post-procedure. The system's ability to process multiple images simultaneously streamlines the inventory process, reducing manual effort and potential errors. The extracted data on instrument quantity and type can be seamlessly integrated into a database for various downstream applications.
คณะวิศวกรรมศาสตร์
This project aims to develop an AI-powered system for detecting and classifying wall cracks using image processing. It identifies different crack types, assesses severity, and ensures accuracy across various image conditions. The goal is to support preventive maintenance by enabling early detection of structural issues, reducing repair costs, and improving safety.