Open Access Zeitschriften Artikel – Elektrotechnik + Elektronik

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.

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 …

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 …

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 …

Farmers working on steep terrain need comfortable tools to improve their working conditions. Olive harvesting, which uses long unbalanced tools for reaching high branches, causes back pain. The posture of farmers, during harvesting operations, has …

To extract information from the brain, the most cost-effective method is electroencephalography (EEG) signal acquisition. Therefore, many researchers have used EEG signals to capture brain activity. EEG signals are complex; hence, computer-aided …

Ruminative brooding is marked by its perseverative nature. Existing mechanistic theories attribute this to cognitive control deficits linked to elevated functional connectivity within the default mode network and abnormal prefrontal activity.

The concept of the Z-number offers a powerful framework for representing fuzzy information, enabling more accurate and reliable decision-making under uncertainty. Building upon this foundation, the Pythagorean fuzzy Z-number further enhances the …

The rapid expansion of Internet of Things (IoT) technologies in smart cities, healthcare, and industrial automation has intensified the need for cybersecurity frameworks capable of operating at scale and in real time under increasingly …

Recently, Large Language Model (LLM) agents have been widely deployed as conversational assistants, tutors, and productivity tools, where the personality of the agents emerges in generated sentences that reflect the extent of their extraversion or …

Artificial intelligence (AI) is commonly framed as a technological force transforming economies, labor markets, scientific discovery, and social interaction. While these impacts are profound, they represent only the surface of a deeper historical …

This study presents a unified and reproducible multi-task deep learning framework for early customer churn detection that jointly learns three highly related tasks: churn prediction, credit-score classification, and high-balance identification.

Modern AI systems excel at pattern recognition and task execution, but they often fall short of replicating the layered, self-referential structure of human thought that unfolds over time. In this paper, we present a mathematically grounded and …

Multi-degree of freedom (DOF) robotic systems, particularly those with seven or more DOFs similar to the human arm, have the potential to significantly expand the functional range and versatility of robotic manipulators. The spherical gear …

Converting natural language text into structured, logically coherent knowledge graphs (KGs) enhances the ability to retrieve, organize, and analyze vast amounts of information at scale. This paper introduces Text2AMR2FRED, a text-to-KG pipeline …

Dynamic Facial Expression Recognition (DFER) in video sequences presents significant challenges due to the subtle nuances between expressions and inherent dataset imbalances. This study proposes a novel approach leveraging large-scale contrastive …

Developmental dysgraphia is a neurological disorder that impairs children’s writing abilities. Its heterogeneous symptoms and frequent co-occurrence with other disorders make accurate diagnosis challenging. In recent years, researchers have …

This paper presents an enhanced methodology for parameter diagrams (P-Diagrams) designed to support system analysis and sensor integration in condition monitoring. Building on the foundations of the AIAG & VDA and Ford FMEA Handbooks, the proposed …

We present an Artificial Intelligence with Symbolic Empathy, where an agent $$\mathcal {A}$$ cooperatively aligns a person’s cognitive state $$\vec {X}_P(t)$$ with their ideal trajectory $$\vec {X}_{L_P}(t)$$ . Alignment is guided by a …

Deployable membrane structures are advantageous for enlarging space structures owing to their high storage efficiency and low weight. Robotic maintenance approaches are effective for the long-term use of constructed space structures. However …