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The Healthcare Internet of Things (H-IoT) is a rapidly developing problem solving model with significant potential to improve patient care and healthcare outcomes. This study focuses on integrating cryptographic platforms into H-IoT systems to ...

Federated learning enables collaborative data analysis without the need to share sensitive information among participants, addressing privacy concerns in domains such as healthcare and finance. However, current federated simulation environments ...

Cybersecurity threats are constantly evolving and becoming increasingly sophisticated, automated, adaptive, and intelligent. This makes it difficult for organizations to defend their digital assets. Industry professionals are looking for ...

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• LSPR23 is derived from Locked Shields, a major live-fire cyber defense exercise.
• LSPR23 includes ̃16M network flows, of which ̃1.6M are labeled malicious.
• LSPR23 is publicly accessible, fostering transparency and enabling global ...

Recent years have seen an exponential rise in data produced by Internet of Things (IoT) applications. Cloud servers were not designed for such extensive data, leading to challenges like increased makespan, cost, bandwidth, energy consumption, and ...

Based on the extracted information of retracted papers from the Retraction Watch Database and the citation information of these papers from the Web of Science, we uncovered the complex relationships of retracted papers in the molecular biology ...

Crowdsourcing is a powerful technique for accomplishing tasks that are difficult for machines but easy for humans. However, ensuring the quality of the workers who participate in the task is a major challenge. Most of the existing studies have ...

Provenance has become increasingly relevant to understanding, auditing, and reproducing computational tasks. The provenance analysis processes can often be overwhelming to the user due to the large volume of data, the multiple relationships among ...

• A novel approach for uncovering implicit information among provenance data.
• An interactive tool for provenance exploratory analysis.
• Matrix and eigenvector centrality visualizations for provenance data.
• Environment for ...

The introduction of Digital Twin (DT) technology has sparked interest in virtual replication of physical assets and processes. However, to fully capitalize on DT’s potential, we need robust and scalable frontend solutions. This study proposes an ...

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• Proposed a modular architecture for Digital Twins (DTs) using micro-frontends and micro-services to enhance scalability, flexibility, and maintainability.
• Highlighted the benefits of transitioning from monolithic frameworks to modular ...

Data dependencies are a key concept in data management and have been researched in data integration, data quality and query optimization. With the increasing use of graph-structured data in diverse applications, there is also an increasing ...

• A new class of dependencies for property graphs named Graph Generating Dependencies (GGDs) is introduced.
• Study is performed on the reasoning problems: satisfiability, implication and validation on property graphs with GGDs.
• A ...

The processes of service discovery and composition are crucial tasks in application development driven by Web Services. However, with RESTful Web Service replacing SOAP-based Web Service as the dominant service-providing approach, the research on ...

Indoor positioning has been extensively studied for at least the past twenty years. In the list of the most common solutions, those based on the Received Strength Signal Indicator (RSSI) have gained importance due to the simplicity of RSSI as well ...

Process mining can help organizations by extracting knowledge from event logs. However, process mining techniques often assume business processes are stationary, while actual business processes are constantly subject to change because of the ...

Many new network-oriented services have been developed in recent years, and they are expected to be virtualized in multi-access edge computing (MEC) environments, which are being standardized along with fifth generation (5 G). Because many new ...

The massive increase in urban population has created a slew of socioeconomic and environmental issues. Among these problems, the most notable is the disposal of solid waste and the search for an effective system for it. Many scholars ...

• Innovative approach for solid waste site selection under uncertainty.
• Fuzzy ...

Gorgias Cloud offers an integrated application development environment that facilitates the development of argumentation-based systems over the internet. Argumentation is offered as a service in a way that this allows ...

• Argumentation-based explainable decision making is provided as a service.
• ...

Social media needs social networks to disseminate information among the people who like to interact with each other. Identification of the most prominent influencers is a crucial problem for influence diffusion in applications like viral ...${}_{}$

Business Processes (BPs) are commonly used by organizations to describe their goals. However, the existent decentralization found in many organizations forces them to build such BPs by coordinating distributed and fragmented BPs. Within this ...

Workspace awareness is critical for remote assistance with physical tasks, yet it remains difficult to facilitate. For example, if the remote helper is limited to the single viewpoint provided by the worker’s hand-held or head-mounted ...

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• CueCam is an Augmented Reality multi-camera remote assistance system.

As resources are valuable assets, organizations have to decide which resources to allocate to business process tasks in a way that the process is executed not only effectively but also efficiently. Traditional role-based resource allocation leads ...

Nowadays, there are millions of smart devices connected to the Internet. The purpose of these devices is to make people’s lives easier. Thanks to the collaboration among them, the possibilities that the Internet of Things brings can grow ...