Research

Research

Epilepsy Classification Based on EEG Spectral Analysis Combined with Machine Learning and Deep Learning
Bywebmasontsai March 27, 2025March 28, 2025

Epilepsy is a common chronic neurological disorder characterized by recurrent abnormal brain electrical activity. Due to the wide range of epilepsy types and varied clinical manifestations, diagnosis traditionally depends on the interpretation of EEG (electroencephalography) signals by experienced physicians—a process that is often time-consuming and subjective. In recent years, the need for objective and automated…

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Research

Multi-Gene and Rule-Guided Classification of Influenza Viruses via Cellular Automata Genomic Image Transformation and Deep Learning
Bywebmasontsai March 27, 2025March 27, 2025

This research aims to establish a reliable classification framework for the influenza virus using genomic image transformation and deep learning. The system employs cellular automata to transform viral gene sequences into structured image formats, facilitating virus visualization, identification, and subtyping. This approach has the potential to generate a more accurate understanding of viral detection and…

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Research

Automated Lumbar Intervertebral Disc Detection and Classification System Based on a Hybrid Deep Learning Framework
Bywebmasontsai March 27, 2025March 28, 2025

This study proposes a hybrid deep learning framework that integrates object detection and classification models to achieve a fully automated assessment of intervertebral disc health. The system first employs the YOLOv7 model to accurately locate intervertebral discs within DICOM images, extracting regions of interest (ROIs) while preserving anatomical features and eliminating irrelevant tissue interference. To…

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Projects | Research

Development of Talent Selection and Intellectual Tactical System in Competitive Table Tennis
Bywebmasontsai September 6, 2022March 28, 2025

Project Overview This project aims to build an integrated system for competitive table tennis using intelligent technology and multidisciplinary research. Key areas include talent selection, pressure assessment, injury prevention, and tactical analysis. This aims to improve player performance, inform opponent strategies, and advance both table tennis and sports science. By bringing together experts from various…

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Industry Cooperation | Projects | Research

Breast Tumor Early Detection and Diagnosis
Bywebmasontsai January 10, 2021March 28, 2025

Project Review The main purpose is to build a deep learning model for the detection of breast tumors in ultrasound images. This will help doctors to reduce the time it takes to read ultrasound images and to diagnose breast tumors more accurately, thereby helping patients to receive treatment as early as possible. This project is…

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Projects | Research

Identification Technology Based on EEG and DNA Sequencing
Bywebmasontsai October 6, 2017March 28, 2025

Project Overview As fingerprint recognition and retina scanning technology become increasingly widespread in the field of biometrics, scientists have begun to focus on brain science. Because the brain waves generated by each person are unique when stimulated by external stimuli, non-invasive electrodes can be attached to the cerebral cortex to record brain wave fluctuations using…

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Projects | Research

Pituitary Gland Tumor Prediction Systems
Bywebmasontsai November 9, 2014March 28, 2025

Project Overview The pituitary gland, the conductor of our body’s hormonal orchestra, plays a crucial role in regulating various systems. However, tumors can disrupt this delicate balance, leading to a cascade of health problems. To achieve early detection and treatment, medical advancements often bridge the gap between medicine and technology. This project exemplifies synergy by…

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Projects | Research

Autoimmune Cell Recognition System
Bywebmasontsai August 11, 2013March 28, 2025

Project Overview Cellular Automata (CA) is a mathematical model used to simulate complex systems composed of individual cells. Each cell can be defined with different possible states, and all cells are updated synchronously according to user-defined “rules”. The state of each cell depends on its own state and the states of its neighbors. Their states…

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Industry Cooperation | Projects | Research

Colon Cancer Genetic Markers Prediction Systems
Bywebmasontsai June 12, 2013March 28, 2025

Project Overview Colorectal cancer, consistently the third deadliest in Taiwan, demands early detection for a 90% five-year survival rate. Yet, only 39% are caught early. Its rising incidence across age groups, influenced by diet, gender, and genetics, necessitates further research. This Industry Cooperation project tackles this by building a standalone colorectal cancer patient database with…

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