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Project Urban House

Abstract

The Project Urban House is an initiative focused on developing and designing urban housing solutions that address the growing demand for city living. The project emphasizes efficient space utilization, sustainability, and designs that cater to modern urban lifestyles. Key considerations include the use of eco-friendly materials, the integration of green spaces, and the implementation of smart home technologies to enhance residents' quality of life.

Objective

1. พัฒนาทักษะด้านการออกแบบสถาปัตยกรรมภายในสำหรับที่อยู่อาศัยในเมือง 2. ส่งเสริมความคิดสร้างสรรค์และการแก้ปัญหาภายในพื้นที่จำกัด 3. ฝึกการทำงานแบบมืออาชีพและการนำเสนอโครงการ

Other Innovations

CLASSIFICATION OF OTITIS MEDIA TYPE USING OTOSCOPIC IMAGES

คณะวิทยาศาสตร์

CLASSIFICATION OF OTITIS MEDIA TYPE USING OTOSCOPIC IMAGES

Otitis Media is an infection of the middle ear that can occur in individuals of all ages. Diagnosis typically involves analyzing images taken with an otoscope by specialized physicians, which relies heavily on medical experience to expedite the process. This research introduces computer vision technology to assist in the preliminary diagnosis, aiding expert decision-making. By utilizing deep learning techniques and convolutional neural networks, specifically the YOLOv8 and Inception v3 architectures, the study aims to classify the disease and its five characteristics used by physicians: color, transparency, fluid, retraction, and perforation. Additionally, image segmentation and classification methods were employed to analyze and predict the types of Otitis Media, which are categorized into four types: Otitis Media with Effusion, Acute Otitis Media with Effusion, Perforation, and Normal. Experimental results indicate that the classification model performs moderately well in directly classifying Otitis Media, with an accuracy of 65.7%, a recall of 65.7%, and a precision of 67.6%. Moreover, the model provides the best results for classifying the perforation characteristic, with an accuracy of 91.8%, a recall of 91.8%, and a precision of 92.1%. In contrast, the classification model that incorporates image segmentation techniques achieved the best overall performance, with an mAP50-95 of 79.63%, a recall of 100%, and a precision of 99.8%. However, this model has not yet been tested for classifying the different types of Otitis Media.

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The increasing of quality and value-added product of mango : Case study of mango (Mangifera indica L.)

วิทยาลัยเทคโนโลยีและนวัตกรรมวัสดุ

The increasing of quality and value-added product of mango : Case study of mango (Mangifera indica L.)

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Electrochemical Synthesis of Drug Molecules

คณะวิทยาศาสตร์

Electrochemical Synthesis of Drug Molecules

The synthesis using electrons as reagents instead of oxidants is a method for synthesizing drug molecules in a way that reduces the use of chemicals, thereby minimizing environmental pollution.

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