2,686 Results Found

Brain–computer interface (BCI) systems include signal acquisition, preprocessing, feature extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning (DL) algorithms play a crucial role in enhancing accuracy. Unlik...

Information models from the domains Building Information Modeling (BIM) and Urban Information Modeling (UIM) are generally considered as information silos due to their heterogeneous character. These information silos can be bridged through linking wh...

Cyber Physical Systems (CPS) seamlessly integrate physical objects with technology, thereby blurring the boundaries between the physical and virtual environments. While this brings many opportunities for progress, it also adds a new layer of complexi...

In this article we critically discuss the challenge of integrating contextual information, in particular spatiotemporal contextual information, with human and technical sensor information, which we approach from a geospatial perspective. We start by...

The paper introduces the Integrated Measurement of Performance and Contextual Task-related effects (IMPACT) dataset, designed to facilitate comprehensive investigations into contextual dynamics within human–machine collaboration (HMC) systems....

The authors of this article describe a study designed to support first-grade students’ social studies knowledge and literacy development through a teacher–researcher co-constructed and teacher implemented integrated unit within the contex...

Our research area concerns the development of an intelligent e-service system to help manage multimodal transportation processes. To better respond to the requirements of sustainable development, we encourage the development of multimodal cargo trans...

This study examined how cognitive, affective, and sociocultural factors shape teachers’ readiness for inclusive education, focusing on the interplay between attitudes, emotional concerns, and self-efficacy. A survey of 149 elementary school tea...

Despite growing interest in AI technologies, there is a lack of integrated models explaining AI adoption in SMEs from a consumer perspective. This study addresses this gap. Although artificial intelligence (AI) has gained traction in digital innovati...

The detection of fake news has emerged as a crucial area of research due to its potential impact on society. In this study, we propose a robust methodology for identifying fake news by leveraging diverse aspects of language representation and incorpo...

We give a variational characterization of the Born rule. For each measurement context, we project a quantum state ρ onto the corresponding abelian algebra by minimizing Umegaki relative entropy; Petz’s Pythagorean identity makes the dephase...

Constructing a personal identity is an activity much more complex than elaborating a series of online profiles, which are only digital hints of the Self. The construction of our personal identity is a context-mediated activity. Our hypothesis is that...

This paper presents a novel surveillance system aimed at the detection and classification of threats in the vicinity of a long gas pipeline. The sensing system is based on phase-sensitive optical time domain reflectometry (ϕ-OTDR) technology for sign...

The paper considers the adjustments of the interior architectural design education model toward its compliance with the principles of sustainability, since the currently provided scheme does not effectively employ the sustainability multi-dimensional...

Research into Citizenship Education has become increasingly important in recent years. It deals with the promotion of social cohesion, democracy and human rights. This article examines the interfaces between Citizenship Education and Religious Educat...

The call to decolonize South African university curricula continues to shape academic discourse, highlighting the urgency of integrating African Indigenous Knowledge Systems (AIKSs) into theological education. While Western epistemologies have long d...

The accelerated loss of biodiversity and the limited integration of ocean literacy into school curricula highlight the urgent need for innovative approaches in Environmental Education for Sustainability (EES). This study presents the design and class...

Diarrheal disease in under-five children remains high in Sub-Saharan Africa; primarily attributed to environmental pathogen exposure through poorly managed water, sanitation, and hygiene (WASH) pathways, including foods. This formative study in rural...

Multimodal sentiment analysis, a significant challenge in artificial intelligence, necessitates the integration of various data modalities for accurate human emotion interpretation. This study introduces the Advanced Multimodal Sentiment Analysis wit...

Sequential decision-making is critical for applications ranging from personalized recommendations to resource allocation. This study evaluates three decision policies—Greedy, Thompson Sampling (via Monte Carlo Dropout), and a zero-shot Large La...

Liver cancer is one of the malignancies with high mortality rates worldwide, and its timely detection and accurate diagnosis are crucial for improving patient prognosis. To address the limitations of traditional image segmentation techniques and the...

The concept of the integral speaks to the holistic nature of the globe. It is predicated on the claim that everything/everyone is related, and the destruction of one is the destruction of the whole. As such, it places a moral burden on each part to w...

A contextual approach to Light-Rail Transport (LRT) needs to be tailored towards specific contexts, in terms of situations or contingencies, such as socio-economic and environmental factors. This research intends to discuss the societal benefits comp...

This study presents the theoretical depth of urban research by proposing a four-stage contextual conceptual guide for integrating historical and societal contextual factors within the nexus of time and space. Addressing a critical gap in urban resear...

Radioactive sources exist in environments or contexts that influence how they are detected and localised. For instance, the context of a moving source is different from a stationary source because of the effects of motion. The need to incorporate thi...

In traditional production plants, current technologies do not provide sufficient context to support information integration and interpretation. Digital transformation technologies have the potential to support contextualization, but it is unclear how...

Dense video captioning involves identifying, localizing, and describing multiple events within a video. Capturing temporal and contextual dependencies between events is essential for generating coherent and accurate captions. To effectively capture t...

In the digital era, social media platforms have seen a substantial increase in the volume of online comments. While these platforms provide users with a space to express their opinions, they also serve as fertile ground for the proliferation of hate...

This article analyses the urban conditions of Chennai, India, and takes a critical look at its planning framework by considering four main aspects: the ecological structures, urban morphology, mobility, and livability. To do so, the article examines...

Sufficient data refer to the relevant prevalence of sound exposure by mixed traffic sources in many nations. Furthermore, consideration of the potential effects of combined sound exposure is required in legal procedures such as environmental health i...

This paper advances contextual image understanding within perspective-aware Ai (PAi), an emerging paradigm in human–computer interaction that enables users to perceive and interact through each other’s perspectives. While PAi relies on mu...

In this paper, we focus on the problem of contextual aggregation in the semantic segmentation of aerial images. Current contextual aggregation methods only aggregate contextual information within specific regions to improve feature representation, wh...

The evolving nature of contemporary careers has sparked an interest in the sustainability of individual careers, which encompasses the pursuit of careers in a manner that promotes health, productivity, and overall happiness. Although previous studies...

Previous studies have shown that contextual information may aid in guessing the intention underlying others’ actions in conditions of perceptual ambiguity. Here, we aimed to evaluate the temporal deployment of contextual influence on action pre...

Smart control technologies that can manage the complexity of urban traffic while also reducing response times for emergency vehicles are necessary. This article proposes AETM (Adaptive and Equitable Traffic Management), an adaptive and equitable traf...

Skin lesion classification is vital for the early detection and diagnosis of skin diseases, facilitating timely intervention and treatment. However, existing classification methods face challenges in managing complex information and long-range depend...

Social sustainability is a relatively underexposed dimension of the sustainability debate. Diversified and discipline-specific study perspectives and the lack of contextualization make it difficult to gain a comprehensive understanding of social sust...

Emotion recognition in conversations (ERC) is a significant task in natural language processing, aimed at identifying the emotion of each utterance within a conversation. Current research predominantly relies on pre-trained language models, often inc...

An integral part of any remotely sensed fire detection and attribution method is an estimation of the target pixel’s background temperature. This temperature cannot be measured directly independent of fire radiation, so indirect methods must be used...

Social sustainability is becoming an increasingly important topic in design practice, calling for more contextual perspectives on the process of design for social sustainability. This paper presents a retrospective case study analyzing the design pro...

An anthropogenically caused climate crisis threatens the Earth and humanity. As such, religion’s engagement is of increasing importance. This paper critically evaluates the significance of the East Asian context regarding the climate crisis, ar...

The inclusion of persons with intellectual disabilities (ID) through integrated employment is essential for achieving the United Nations Sustainable Development Goals. This research study examines how organizational contextual factors facilitate or h...

Current approaches to context-related studies primarily emphasize monitoring temporal changes in the physical environment to achieve context awareness. However, these approaches often overlook the individual’s subjective perception of these con...

The present study examined the impact of skill level on the integration of contextual prior information and kinematic information alongside post-error adjustment during action anticipation in basketball. Twenty-three collegiate basketball players and...

Background: Understanding visual context in images is essential for enhanced Point-of-Interest (POI) recommender systems. Traditional models often rely on global features, overlooking object-level information, which can limit contextual accuracy. Met...

The growing complexity and interdependence of healthcare data, especially for chronic diseases such as asthma, demand innovative approaches for effective knowledge representation. This study introduces a general contextual ontology model for chronic...

The rapid development of big data technology and mobile intelligent devices has led to the development of location-based social networks (LBSNs). To understand users’ behavioral patterns and improve the accuracy of location-based services, poin...

Timely wildfire detection is helpful for fire monitoring and fighting. However, the available wildfire products with high temporal resolutions face problems, such as high omission error and commission error (false alarm) rates. This study proposed a...

Lung diseases, including chronic obstructive pulmonary disease (COPD) and pulmonary fibrosis, pose significant health challenges due to their high morbidity and mortality rates. Computed tomography (CT) scans play a critical role in early diagnosis a...

The current study investigates contextual mathematical modelling (MM) problems that were retrieved from authentic workplace situations and simplified for formal secondary school math lessons. First, the study aims to characterize contextual MM proble...