Cerca risorse accademiche

Background From lung cancer and heart disease to rare disorders, research on almost every disease is speeding up. Microscopic cell image analysis is an important area of medical research. As the first step in analysis, s...

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...

Materie / parole chiave: BARRET, HARRISON; ACADEMIC PRESS; 616.0757 B274r

Background. The increase in technogenic electromagnetic load leaves open the question of its impact on living cells, which do not have a specific evolutionary mechanism for responding to such an environmental factor. Cur...

Abstract Quantitative analysis of fluorescence microscopy images remains a significant challenge in cytopathological assessments, as subjective interpretation and inter‐observer variability hinder reproducibility and s...

Medical image prediction plays a very significant role in clinical decision-making and early detection and diagnosis of different diseases. However, the quality of medical images has a huge impact on the predictive model...

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...

Abstract In Digital Image Processing (DIP), image enhancement using univalent functions entails mapping pixel intensity values (gray levels) using one-to-one, invertible complex functions, frequently in the frequency dom...

Event-based image processing represents an emerging research field within computer vision and is gaining increasing relevance in modern imaging technologies. In contrast to conventional frame-based approaches, neuromorph...

This study investigates the effect of discharge voltage on fracture distribution and fragmentation extent in multi-hole pulsed discharge rock fragmentation. Comparative experiments were conducted on red sandstone specime...

The article is a brief survey of the development of Information since the egyptians till nowadays when it is evident the importance of Computer science and of image Processing systems. lt analyses the evolution of each t...

Conventional adversarial perturbations on traffic sign images often induce noticeable color shifts and abnormal contrast compared to natural images, rendering them susceptible to detection, particularly by Vision Transfo...

Face verification plays an important role in computer vision, especially in mobile and embedded systems with limited computational capacity. This study proposes a face verification system based on the Siamese Neural Netw...

In order to study the microscopic damage characteristics of marble by explosive impact loading, we carried out the blasting test of marble with different charges, analyzed the microcrystalline structure of marble specime...

Context and background  Rapid urbanization in Lagos metropolis, Nigeria, has led to significant changes in its urban climate, manifesting as Urban Heat Islands (UHIs). Goal and Objectives: This study assesses the...

Abstract Satellite Image Classification is a process in remote sensing that aims at classifying pixels of satellite imagery into usable information of land use and land cover. This information is not only limited to seve...

IntroductionMotor imagery (MI), the mental rehearsal of movement without physical execution, is a key technique in brain-computer interfaces (BCIs), known for eliciting cortical modulations similar to those exhibited dur...

Abstract Lameness in cattle is a significant welfare and economic concern. To address this, we developed an end-to-end deep learning framework for 24/7 lameness monitoring using top-down depth images of cattle. The frame...

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...

The article presents the developed algorithm and software for automated monitoring of strawberry plant growth using neural network technologies. The YOLO11x and YOLOx-seg models, pre-trained by transfer learning, are ada...

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 ...

Automated parsing of semi-structured documents has become increasingly important, particularly in standardized formats like SATS-LN, which contain fixed-layout fields such as permit number, addresses, validity period, an...

Manual cocoa bean inspection is subjective and prone to error, significantly impacting chocolate production. This study presents an automated, high-throughput cocoa bean grading system leveraging YOLOv10, YOLOv11, and Vi...

Immersive walkthroughs are increasingly used to document, interpret, and communicate heritage sites to remote audiences. This study presents a framework for designing and implementing a cross-platform WebVR walkthrough o...