Buscar recursos académicos

The field of remote sensing change detection (RSCD) has witnessed remarkable progress. Most existing RSCD methods currently follow the encoder-feature interaction-decoder architecture. However, these methods often treat ...

Buildings serve as a key indicator of human land use, and building change detection plays a crucial role in urban growth and shrinkage monitoring, land use planning, and urban development assessment and management. Curre...

As smart meter technology advances, advanced metering infrastructure (AMI) enables the collection of high-resolution energy consumption data, such as 15-minute interval electricity and gas usage. While anomaly detection ...

Aurora phenomenon is the most visible manifestation of space weather and play a crucial role in geoscientific studies of near-Earth space processes. Segmenting auroral image sequences from large vast observational data i...

Abstract Background Collagenous colitis (CC) is diagnosed histologically and is characterised by a thickened subepithelial collagen band together with inflammatory and epithelial changes. Although routine haematoxylin an...

Wildfires are among the most destructive natural disasters and pose significant risks to ecosystems, infrastructure, and human lives. This study focuses on wildfire susceptibility mapping in Los Angeles County, a region ...

Abstract Due to the complexity of substation systems and the diversity of data sources, potential inaccuracies or inconsistencies in data may compromise the accuracy of intelligent detection. To address this issue, an in...

Synthetic Aperture Radar (SAR) is one of the primary sensing models and is broadly used in numerous remote sensing applications including environmental monitoring, maritime monitoring, and climate change research. Unfort...

Abstract Background Tick-borne encephalitis virus (TBEV, Orthoflavivirus encephalitidis) is an arbovirus of the family Flaviviridae. It is the etiological agent of tick-borne encephalitis (TBE), a severe disease affectin...

The aim of this study is the early detection of developing insulation defects in high-voltage oil-filled bushings based on the analysis of the temporal behavior of diagnostic indicators rather than only their comparison ...

Abstract The Fermi surface provides indispensable insights into the electronic structure of materials. Here, we present a robust analysis framework employing an interpretable machine learning approach to investigate Ferm...

Background Menopausal transition is a period of psychological vulnerability, yet suicidality remains underassessed. Hormone replacement therapy (HRT) may influence mood symptoms, but its mental health effects – particu...

In this article, we revisit and expand our prior work on graph similarity. As with our earlier work, we focus on a view of similarity which does not require node correspondence between graphs under comparison. Our work i...

To address issues such as missed detections and false positives in safety equipment wear detection tasks caused by complex backgrounds, severe occlusions, and small target sizes, as well as frequent ID switching and low ...

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...

With increasing impacts of climate change, vulnerable low-lying developing countries like Bangladesh have coastal zones that experience disproportionate loss and damage (L&D) that exceed the limits of local adaptation. T...

With the increasing aging population, the health management of older people has become an increasingly important issue. The author aims to meet the health needs of older people by designing a wearable device and a vital ...

Diabetes is a growing global health concern that requires continuous glucose monitoring. Conventional methods involve painful blood sampling, which is particularly challenging for young and elderly patients. Microneedle ...

To improve early detection of invasive tree pathogens, foliar putative pathogenic fungal communities in reciprocal ex patria sentinel plantings across three continents were examined. Geographic location and tree species ...

This study focuses on the explainability of AI operations for diagnosing degradations in cloud applications. Log data can provide essential contextual information on misbehaving applications in monitoring, evaluated agai...

Abstract BackgroundAtrial fibrillation (AF) and atrial flutter (AFL) are common arrhythmias associated with the risk of ischemic stroke, which can be reduced with anticoagulation therapy. Thus, early diagnosi...

Abstract Background Cancer treatments such as chemotherapy and radiotherapy significantly impact the cardiovascular system. While cardiac toxicity is well characterized, the effects on the aorta, the body’s largest art...

Abstract Passive acoustic monitoring (PAM) of marine mammals is essential for biodiversity monitoring and communication studies. Tracking animals in situ further enables behavioral investigation. Monitoring from boats, t...