Hyperspectral image (HSI) classification models suffer from a phenomenon known as catastrophic forgetting, which refers to the sharp decline in performance on previously learned tasks after learning a ...

The increasing demands on urban water infrastructure have made efficient and accurate detection of defects in water pipe networks critical for ensuring operational reliability and resource management.

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 ...

With the rapid advancement of hyperspectral imaging technology, there has been a dramatic surge in the volume of hyperspectral data, presenting unprecedented challenges for the incremental ...

This study investigates the utilization of a hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT) model, employing transfer learning methods, to enhance brain stroke detection and ...

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 ...

Transformers have been widely adopted in the field of hyperspectral image (HSI) classification. However, a significant drawback of transformers lies in their excessive number of parameters and the ...

Rocky River-based commercial real estate company NewBrook Partners is busy on its new mixed-use development at the former Steve Barry Buick car dealership site.

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 ...

Predicting voice quality is critical for improving communication systems and the user experience. In this article, we offer a unique technique to multidimensional speech quality prediction using a ...

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 ...