Open Access Zeitschriften Artikel – Business IT + Informatik

Functional differentiation in the brain emerges as distinct regions specialize and is key to understanding brain function as a complex system. Previous research has modeled this process using artificial neural networks with specific constraints.

This research proposes a new approach of implementing machine learning models such that, when applied to a drone, it will be able to accurately identify and maintain the authenticity of the entity sending the control data to the drone. The drone …

Small-scale magnetic robots that can assemble, disassemble, and propel under globally applied magnetic fields can be versatile modular subunits for manufacturing and in vivo operations. This paper presents a magnetic cuboid robot that contains …

The desire for comprehending user behavior is significant, since social media data is growing quickly owing to user contributions, especially in light of the recent coronavirus outbreak. In the literature works, several semantic analysis …

This study examined how integrating personalized learning, self-regulated learning, and technology can enhance students’ learning quality and meet the evolving needs of higher education. While earlier research often explored these areas …

This paper focuses on a novel technique on lossless compression mechanism for streaming data based on lookup table. The technique improves its compression ratio and to reduce the execution time, where the compressor encodes a symbol by translating …

As digital ecosystems grow increasingly complex, the ability to critically ignore distractions has emerged as a vital skill for navigating low-quality, false, or malicious information. Coined by Wineburg (2021), Critical Ignoring refers to …

The growing presence of children and adolescents on social media has raised significant concerns regarding their exposure to age-inappropriate content and the potential harms associated with it. While previous research has predominantly focused on …

Individuals with equal status or strength are more likely to interact within the same region or field, leading to self-interested gameplay. In real life, nodes exhibit heterogeneous statuses or classes, categorized as small nodes (low-status) and …

With the increasing popularity of browser extensions, there is a growing concern about malicious actors exploiting this software to distribute malware. Existing solutions rely on manual review processes or traditional methods like static, dynamic …

Stroke remains a leading cause of morbidity and mortality worldwide, necessitating rapid and accurate diagnosis to improve patient outcomes. The gold standard in stroke diagnosis relies on a costly and time-consuming combination of clinical …

Traditional models of the sense of agency provide theoretical frameworks to understand the processes underlying the sense of agency and the potential neural basis in the brain. However, there is a lack of understanding of where large individual …

Traditional eLearning assessments frequently rely on static, non-adaptive methods that provide limited personalized feedback and face significant scalability constraints. The Service-Oriented Framework for Intelligent Assessment (SOFIA) integrates …

Energetic Intelligence is a newly defined construct recently validated that offers a thorough understanding of human intelligence by integrating, emotional, spiritual, and physical dimensions. This study applies a data-driven approach to predict …

Traditional recommender systems primarily rely on a single type of user-item interaction, such as item purchases or ratings, to predict user preferences. However, in real-world scenarios, users engage in a variety of behaviors, such as clicking on …

This study examines the influence of two data preprocessing techniques, Robust Scaler (RS) and Principal Component Analysis (PCA), on the predictive behaviour of Machine Learning (ML) models used for triage assessment in Internet of Medical Things …

Heart health complications are often diagnosed through the presence of anomalous heartbeat morphologies in the electrocardiogram (ECG). The automated summarization of ECG data can aid clinicians in promoting a more comprehensive, time-sensitive …

Rapid improvements in Computer vision (CV) and Deep Learning (DL) methods have enabled information extraction from images and videos to apply and interpret them for various applications. Numerous agricultural and farming applications have been …

The recent hype around machine learning has fully captured software engineering research. Correspondingly, a variety of different ways to represent code as input to deep learning models have been proposed. These code embedding models are usually …