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 ...

This paper presents a comprehensive study on 3D shape classification utilizing Convolutional Neural Networks (CNNs). The research investigates the performance variations arising from different grid ...

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 ...

The past resurgence of Monkeypox draws attention to the need for urgent fast and sensitive diagnostic methods, especially in low resource settings. This work introduces a new approach on classifying ...

In this fast-paced tutorial, I’ll walk you through exactly how to do it step-by-step using Sora for stylized image generation and Hailuo AI for animation. And if Ghibli isn’t your vibe?

Artificial Intelligence has greatly influenced healthcare, most particularly in medical imaging. This paper represents a review in large form that classifies fetal ultrasound images with the use of ...

This paper presents a satellite hyperspectral image processing method that utilizes a maximum abundance classifier to categorize different regions of hyperspectral images into ground truth classes.

Motivated by this background, we propose a new receive signal strength indicator (RSSI)-based localization technique using segmented convolution neural network (CNN) regression, which can be ...

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 ...