Abstract: Plant diseases have important consequences for livelihoods and economies, both on local and global scales, whereby the spread of plant pathogens can lead to high levels of damage to ...
Abstract: Photovoltaic (PV) modules are crucial components in solar power generation, where their efficiency and safety can be compromised by various defects. Infrared images of PV modules can be used ...
Abstract: Remote sensing scene classification is a vital task in remote sensing image analysis with significant application potential. In recent years, convolutional neural network (CNN)-based methods ...
Abstract: Artificial intelligence (AI) developments have revolutionized technologies and methodologies, particularly for malicious uses, especially since the advent of generative adversarial networks ...
Abstract: Deep convolutional neural networks can extract more accurate structural information via deep architectures to obtain good performance in image super-resolution. However, it is not easy to ...
Abstract: The classification of DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) is essential for understanding molecular interactions and regulatory functions. However, the existing ...
Abstract: A person who is addicted to alcohol is most likely to have problems related to health and brain function, such as in doing cognitive tasks. Thus, detecting the alcoholic condition is ...
Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
MRI brain tumor classifier with logistic baseline and a CNN. Trained on 2,870 images with preprocessing, evaluation, ROC, and confusion matrix. CNN ~86% accuracy overall. Pituitary tumors: precision 0 ...
Abstract: Kidney cancer is a commonly diagnosed cancer disease in recent years, and Renal Cell Carcinoma (RCC) is the most common kidney cancer responsible for 80% to 85% of all renal tumors. The ...
전용현 데이터사이언스학과 example2@university.edu 모델 구현 서채원 컴퓨터소프트웨어학과 example3@university.edu 모델 구현 data/raw/ ├── FAKE/ # AI 생성 이미지 (~20,000장) │ ├── 0-100086213-128066_AI_SD ...
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