This work designs and implements a custom hardware accelerator for single object classification from drone imagery, for surveillance applications. A lightweight attention-based convolutional neural ...

The classification of fashion cloth images is an important and challenging task in the field of computer vision. In recent years, deep learning (DL) techniques, especially Convolutional Neural ...

CNN is a successful image classification that uses hierarchical feature extraction, ViTs capture the global context but require substantial data and computation. In this research, we have used ...

Facial expressions are hints and signals that help convey messages, share thoughts and emotions, and express reactions through movements of the face. Recognizing human emotions is a challenging task ...

The current medical practice for diagnosis depends on dermatological expert evaluation yet this method shows both time-consuming and subjective performance. A deep learning system comprised of U-Net ...

To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...

Accurate classification of otoscopic ear images is crucial for early diagnosis of ear pathologies such as Chronic Otitis Media, Earwax Plug, and Myringosclerosis. In this study, we propose a novel ...

Vision transformers (ViTs) and convolutional neural networks (CNNs) have demonstrated remarkable performance in classifying complicated hyperspectral images (HSIs). However, these models require a lot ...

Breast cancer is a leading cause of mortality among women, with early detection being crucial for improving outcomes. This study explores the use of Quantum Convolutional Neural Network (QCNN) for ...

Synthetic aperture sonar is the main means of underwater long-range and high-resolution imaging, and small-sample classification based on synthetic aperture sonar images holds important application ...

This project scrapes and analyzes auction data from Christie's and Sotheby's using Python, Selenium, and Pandas. It explores factors influencing artwork prices, particularly auction house estimates ...

Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS Cohort Emphysema is a hallmark of Chronic Obstructive Pulmonary Disease and an independent risk factor for lung cancer. Computed ...