Fatty liver disease (FLD) is an increasing prevalent that can be reversed if detected early. Ultrasound the safest and ubiquitous method for identifying FLD. Since expert sonographers are required to accurately interpret ultrasound images, lack of same will result in interobserver variability. For more objective interpretation, high accuracy, quick second opinions, computer aided diagnostic (CAD) techniques may exploited. The purpose this work develop one such CAD technique accurate...

Autonomous systems can help firefighting operations by detecting and locating the fire spot from surveillance images videos. Similar to many other areas of computer vision, Convolutional Neural Networks (CNNs) have achieved state-of-the-art results for smoke detection segmentation. In practice, input a CNN are usually downsized fit into network avoid computational complexities restricted memory problems. Although in applications downsizing is not an issue, early phases ignitions may...

We investigate the presence of topological defects inside domain walls in a specific system coupled real scalar fields. This belongs to general class systems fields, and presents some interesting properties 1+1 dimensions. The potential that identifies is defined with two parameters, we show this enough implement idea concerning defects.

This paper deals with systems of two coupled real scalar fields in bidimensional spacetime. We show that when the potential specifies system presents a particular form, we are led to first-order equations solve second-order motion for static fields. The can be seen as dynamical system, and classical solutions present minimum energy, classically stable. consider explicit examples illustrate general procedure. In particular, introduce specific used model ferroelectric crystals....

The continuous collection and storage of personal data, denoted Lifelogging, has gained popularity in recent years as a means monitoring improving health. One important aspect lifelogging is the analysis image which can provide valuable insights into an individual's lifestyle, dietary habits, physical activity. Lifelog Search Challenge provides unique opportunity to explore state-of-the-art research, particularly area egocentric retrieval analysis. Researchers propose their approaches...

In this paper, we consider a charged massive fermionic quantum field in the spacetime of an idealized cosmic string, presence magnetic confined cylindrical tube finite radius. Three distinct configurations for are taken into account: (i) shell radius $a$, (ii) proportional to $1/r$, and (iii) constant field. these three cases, axis infinitely long $a$ coincides with string. Our main objective is analyze induced vacuum current densities outside tube. order do that, explicitly construct wave...

Background and aims Infrared thermal images of a propagating wildfire taken by manned or unmanned aerial vehicles can help firefighting authorities with combat planning. Segmenting these into regions different fire temperatures is necessary step to measure the perimeter determine location front. Methods This work proposes multilayer segmentation method based on level sets, which have property handling topology, making them suitable segment that contain scattered areas. The experimental...

In this work the identification and diagnosis of various stages chronic liver disease is addressed. The classification results a support vector machine, decision tree k-nearest neighbor classifier are compared. Ultrasound image intensity textural features jointly used with clinical laboratorial data in staging process. classifiers training performed by using population 97 patients at six different leave-one-out cross-validation strategy. best obtained machine radial-basis kernel, 73.20%...

We deal with the presence of topological defects in models for two real scalar fields. comment on hosting and search explicit defect solutions using trial orbit method. As we know, under certain circumstances second-order equations motion can be solved by first-order differential equations. In this case show that method used very efficiently to obtain solutions.

We introduce a class of higher-order derivative models in (2, 1) spacetime dimensions. The are described by vector field, and contain Proca-like mass term which prevents gauge invariance. use the embedding procedure to generate another models, gauge-invariant dual former class. show that results valid arbitrary (d, dimensions when one discards Chern–Simons Chern–Simons-like terms. also investigate duality at quantum level, we it is preserved scenario. Other include investigations concerning...

Although Aerial Vehicle images are a viable tool for observing large-scale patterns of fires and their impacts, its application is limited by the complex optical georeferencing procedure due to lack distinctive visual features in forest environments. For this reason, an exploratory study on rough flat terrains was conducted use validate Iterative Ray-Tracing method combination with Bearings-Range Extended Kalman Filter as real-time fire filtering algorithm captured aerial vehicle. The...

The wide availability and small size of different types sensors have allowed for the acquisition a huge amount data about person’s life in real time. With these data, usually denoted as lifelog we can analyze understand personal experiences behaviors. Most research has explored use visual data. However, considerable images or videos are affected by degradation noise due to non-controlled process. Image Quality Assessment plays an essential role deal with We present this paper twofold study...

We study quark confinement in a system of two parallel domain walls interpolating different color dielectric media. use the phenomenological approach which quarks appears considering QCD vacuum as medium. explore this phenomenon 2 , where flux between manifests, scenario 0-branes (representing external and antiquark) are connected by string. obtain solutions equations motion via first-order differential equations. find new confining potential that increases monotonically with distance walls.

Abstract Global positioning system data play a crucial role in comprehending an individual’s life due to its ability provide geographic positions and timestamps. However, it is challenge identify the transportation mode used during trajectory large amount of spatiotemporal generated, distinct spatial characteristics exhibited. This paper introduces novel approach for identification by transforming features into image representations employing these images train neural network based on vision...

The emergence of lifelogging, recording, storing and organizing personal data, underscores the need for efficient digital systems. Lifelog Search Challenge (LSC) promotes a space discussing challenges in developing these MEMORIA, its third version LSC'24, stands out mainly renewed user interface, which aims more intuitive accessible navigation, offering better experience. Adding layers sub-layers has improved event segmentation based on hierarchical events. Another new feature is searching...

The increasing number of mobile and wearable devices is dramatically changing the way we collect data about person's life. These allow recording our daily activities behavior in several forms, e.g., text, images, bio-signals, or video. However, many times, collected includes low quality irrelevant contents, feeding lifelogging applications with huge amounts data, creating computational challenges for patterns' identification. In this paper, propose a fast image analysis approach to...