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In this study, a novel Quantum Self-Attention Neural Network for Multi-Model Aerial Image Classification (QSANN-MAIC) is proposed. The objective of this paper is to develop a high-performance learning framework capable o...

In this paper we present preliminary results from the measurement and analysis of imag es of the ecliptic zoneobtained with MegaCam at Canada-France-Hawaii Telescope (CFHT) located a t Mauna Kea(Hawaii ). We areevaluat...

Degradation of images in ocean remote sensing is primarily due to light scattering, chromatic aberration, and stochastic noise. As a result, the quality of the image content has been significantly compromised. Most ocean...

This study investigates the challenges and responses involved in shaping China’s national image through intercultural communication within the landscape of new media. It focuses on problems like cultural misunderstandi...

INTRODUCTION. The study of the development of the “Eastern text” in Russian literature as an integral component of the Russian Orientalist tradition has a long history and is a key element in modern literary discours...

OBJECTIVE: To determine the prevalence of and factors associated with body image dissatisfaction among physical education students enrolled in a public university. METHODS: This study evaluated 236 students and assessed ...

El artículo presenta la noción de “producciones imaginales” con el objetivo de comprender modos de articulación de las subjetividades y de las relaciones entre individuos en la vida social contemporánea asumida e...

In recent years, consumers have widely utilised social media to be particularly involved with interested brands via online platforms, share their opinions, and easily explore brand-related information. Hence, this study ...

In December 2014, Russia was accused of developing a state-organized doping system in the second decade of the twenty-first century. The scandal resulted in many Russian athletes being banned from competing in the Olympi...

This study aimed to evaluate the effectiveness of a computer-assisted ultrasound analysis of senile dogs cataractous lens and identify its correlation to phacoemulsification surgical parameters. Simultaneous A- and B- mo...

Lung diseases such as pneumonia, tuberculosis, COVID-19, and lung cancer remain significant global health challenges that demand rapid and accurate diagnosis to improve patient outcomes. This study proposes NASNet-ViT, a...

Low-resolution images often lack fine detail and are prone to blurring, noise, and distortions, making accurate assessment challenging. This issue becomes even more challenging for applications, such as land mapping, env...

This study explains how consumers form attitudes toward sustainable fashion line extensions by integrating Brand Extension Theory (BET) with the Theory of Planned Behavior (TPB). Using survey data from 786 consumers in P...

Abstract Background Proximal humerus fractures are common injuries in the elderly, frequently treated with plate osteosynthesis. Intraoperative 2D fluoroscopy provides only limited visualization of the humeral head’s c...

Colorimetric assays offer a low-cost, accessible means of diagnostic testing but often suffer from subjective interpretation and variability caused by inconsistent imaging conditions. To address these challenges, we pres...

INTRODUCTION. The image of the warrior woman in Uzbek culture and literature is examined as a symbol of justice, courage, independence, and strength of spirit, along with its role in reflecting ancient Turkic traditions ...

INTRODUCTION. The relevance of the study lies in the examination of the specifics of the Yugra text as a local hypertext, as well as the identification of the features of the mythological consciousness of Yugra writers b...

Abstract Medical images are inherently high-resolution and contain locally varying structures that are crucial for diagnosis. Efficient compression of such data must therefore preserve diagnostic fidelity while minimizin...

Abstract Introduction This study aimed to develop a deep learning-based system to automatically assess patient positioning compliance in chest radiographs, focusing on cervical spine visibility, scapular overlap, and cos...

Abstract Skin diseases affect a considerable part of the world population, but it is not easy to diagnose these diseases on time because of the limited availability of dermatologists and the similarity of lesions. This r...

The integration of artificial intelligence (AI) into retinopathy of prematurity (ROP) screening represents an important advancement in neonatal ophthalmology, particularly in settings facing specialist shortages and scre...

Complex interactions between seawater and freshwater govern intrusion and stabilization in coastal aquifers. Previous studies have primarily relied on interface-based analyses, limiting full-field spatial quantification ...

ABSTRACT This study was carried out to investigate the effects of eggshell colour and spot properties (colour and size of the spot area) on growth performance and carcass traits of Japanese quail (Coturnix coturnix japon...

Macromolecular crystallography provides mechanistic understanding of biological processes and can be applied in drug design. Nowadays, the use of robotic systems for crystal growth and diffraction analysis is widespread ...