Large Language Models (LLMs) have become essential for interactive AI systems, yet they remain fundamentally static after deployment: they cannot update their parameters from interaction feedback and often repeat the same mistakes across long interac...
With the wide use of Cyber-Physical Systems (CPS) in many applications, targets of advanced persistent threats (APTs) have been extended to the IoT and industrial control systems. Provenance graph analysis based on system audit logs has become a prom...
29 June 2022
Beyond physical pain, patients with coronavirus disease 2019 (COVID-19) experience psychological anxiety during and after quarantine, often facing negative perceptions when returning to their communities. This study evaluated a health consultation pr...
The automatic, sensor-based assessment of human activities is highly relevant for production and logistics, to optimise the economics and ergonomics of these processes. One challenge for accurate activity recognition in these domains is the context-d...
Background/Objectives: The dual burden of cancer and pain during chemotherapy can negatively impact individuals’ personal integrity, or the “self”. Yet, coping strategies addressing these dual challenges are rarely employed in cance...
Automated document processing and circulation systems face critical challenges in achieving reliable retrieval accuracy and robust classification performance, particularly in security-critical organizational environments. Traditional approaches suffe...
For many years, researchers have been investigating how the creative process occurs and what factors influence it. The scope of these studies is essential in the school context to enable pupils to develop their creativity and thus address the needs o...
The aim of this paper is the issue of a sustainable manufacturing process in the context of woodworking by sanding, as one of the most important technological operations before its final treatment, focusing on a selected pillar of sustainable manufac...
Hospital billing event logs combine shared administrative routines with context-specific behavior, making a single global process model difficult to interpret. This study proposes a configurable process mining framework that complements a hospital-wi...
Predictive Process Monitoring (PPM) has been integrated into process mining use cases as a value-adding task. PPM provides useful predictions on the future of the running business processes with respect to different perspectives, such as the upcoming...
Process model comprehension is essential in order to understand the five Ws (i.e., who, what, where, when, and why) pertaining to the processes of organizations. However, research in this context showed that a proper comprehension of process models o...
Following the financial crisis of the last decade and the increasing complexity of financial products, the European Union has introduced investor protection tools that require professionals to carry out a client profiling process. The aim is to offer...
Environmental Impact Assessment (EIA) is a required systematic process of identifying, predicting, and assessing the environmental effects of proposed actions and projects such as nuclear power stations, long-distance railways, motorways, express roa...
Intelligent data handling techniques are beneficial for users; to store, process, analyze and access the vast amount of information produced by electronic and automated devices. The leading approach is to use recommender systems (RS) to extract relev...
Highly flexible manufacturing systems require continuous run-time (self-) optimization of processes with respect to diverse parameters, e.g., efficiency, availability, energy consumption etc. A promising approach for achieving (self-) optimization in...
28 October 2020
Process mining in the context of information systems, which consists of information flows, has been one of the major research areas in the past decade. One of the most common objectives of process mining is the automated business process discovery. T...
The application of deep convolutional neural networks (CNNs) has gained popularity in the field of industrial process fault diagnosis. However, conventional CNNs primarily extract local features through convolution operations and have limited recepti...
We propose a novel contextual multi-armed bandit (CMAB) framework that integrates copula-based context generation with Gaussian Process (GP) regression for reward modeling, addressing complex dependency structures and uncertainty in sequential decisi...
Objective: In this paper, we set out to describe the personal and social contexts of treatment decisions made by cancer patients concerning complementary and alternative medicine (cam) and also the process through which cancer patients reach cam deci...
Domain-driven design is one of the most used approaches for identifying microservice architectures, which should be built around business capabilities. There are a number of documentation with principles and patterns for its application. However, des...
This study investigates how international organizations, International Maritime Organization (IMO) member states, and associate members have embarked on maritime management (MM) measures to address dire situations in the context of the COVID-19 pande...
30 July 2019
Background: Although the addition of patients in the process of shared decision-making can improve their recovery, there is a lack of knowledge about patients’ and caregivers’ perceptions on the management of pressure ulcers at home. Obje...
Process mining analyzes events that are logged during the execution of a process, with the aim of gathering useful information and knowledge. Process discovery algorithms derive process models that represent these processes. The level of abstraction...
A context-aware system is a system that adapts its behaviours in response to changes in the system’s environment (i.e., context). Ensuring the correctness of such a system is difficult because the state of the environment changes frequently in...
The integrated description of the building geometry and the element attributes of the building information model (BIM) can reduce the effort needed to acquire data for life cycle assessment (LCA) and life cycle costing (LCC) at each design stage whil...
In the context of climate change, the correct management of groundwater, which is strategic for meeting water needs, becomes essential. Groundwater modeling is particularly crucial for the sustainable and efficient management of groundwater. This man...
In today’s increasingly complex and multimodal mobility environments, passengers are confronted with fragmented information, inconsistent user interfaces, and limited context-adaptivity across public transport systems and services. These challe...
This paper puts forth a systematic approach for evaluating the maturity level of production process automation in the context of digital transformation for manufacturing companies. The method was developed to address the absence of a sector-specific...
The analyses presented in the publication allowed, on the basis of the data collected, development of an econometric model for the Polish steel industry from the point of view of the relationship between heat and energy management in the steel produc...
In the Internet of Things era, or in the digitalization and mediatization of everything paradigm, where context awareness computing is on the rise, people are also facing a new challenge, that of being aware of the digital contexts, in all situations...
Research has assessed how language use differences between bilinguals (e.g., whether two languages are used approximately equally often or not) influence language processing. However, first (L1) and second (L2) language use might also differ within b...
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...
17 January 2022
Despite the promising ideas of lead users, the success rate of the open innovation process remains low if no proper personal characteristics are attached to the external contributor. The knowledge about the essential characteristic elements of lead u...
Recently, new alternatives have been applied to enhance the architectural design process through comprehensive interaction with all variables. This approach suggests a dynamic scheme to collect all factors comprehensively. This research introduces ap...
Timely status updates are critical in remote control systems such as autonomous driving and the industrial Internet of Things, where timeliness requirements are usually context dependent. Accordingly, the Urgency of Information (UoI) has been propose...
In the realm of large language models (LLMs), extending the context window for long text processing is crucial for enhancing performance. This paper introduces SBA-RoPE (Segmented Base Adjustment for Rotary Position Embeddings), a novel approach desi...
The deployment of airborne hyperspectral sensors has expanded rapidly, driven by their ability to capture spectral information beyond the visual range and to reveal objects that remain obscured in conventional imaging. In scenarios where prior target...
Problem: Medical image segmentation faces critical challenges in balancing global context modeling and computational efficiency. While conventional neural networks struggle with long-range dependencies, Transformers incur quadratic complexity. Althou...
13 February 2020
Illumination is one of the most important environmental factors in the classroom. Researchers have discovered that lighting settings have significant impact on students’ performance. Although light-emitting diode (LED) lighting systems can prec...
The purpose of this exploratory research is to contribute to the lack of empirical research exploring techniques and protocols that can be used to measure the level of value obtained from using these technologies in the various marketing processes an...
Cyber threat information sharing is an imperative process towards achieving collaborative security, but it poses several challenges. One crucial challenge is the plethora of shared threat information. Therefore, there is a need to advance filtering o...
Understanding human movement in industrial environments requires more than simple step counts—it demands contextual information to interpret activities and enhance workflows. Key factors such as location and process context are essential. Howev...
The building sector has a significant potential to reduce the material resource demand needed for construction and therefore, greenhouse gas (GHG) emissions. Digitalization can help to make use of this potential and improve sustainability throughout...
Real-time navigation systems are increasingly used to provide optimal driving routes together with accurate travel time predictions that reflect dynamic urban traffic conditions. Recent advances have focused on integrating structured traffic data fro...
This study aimed to evaluate consumer perception and acceptance of non-alcoholic cocktails compared to their traditional alcoholic counterparts in a restaurant setting. Three popular cocktails—gintonic, mojito, and mule—and their non-alco...
The Revised Hierarchical Model (RHM) proposed by Kroll and Stewart has been one of the most influential models of late multilingual language processing. While the model has provided valuable insights into language processing mechanisms, the role of c...
The purpose of this research paper is to present a framework for selecting a biogas plant for the Indian rural community, considering performability factors such as reliability, quality, maintainability, safety, and sustainability. This will ensure t...
Industry 4.0 adoption demands integrability, interoperability, composability, and security. Currently, integrability, interoperability and composability are addressed by next-generation approaches for enterprise systems integration such as model-base...
Large Language Models (LLMs) are emerging as key enablers of Future Internet ecosystems, supporting intelligent, adaptive, and context-aware services across distributed cyber-physical environments. Beyond traditional natural language processing, LLMs...
To find useful information on the Web, a user must define the search according to their interests, then they must select and analyze one or more web pages, and finally they must decide which content is most useful to them. This process requires visua...
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