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View article: SR-LLM: An incremental symbolic regression framework driven by LLM-based retrieval-augmented generation
SR-LLM: An incremental symbolic regression framework driven by LLM-based retrieval-augmented generation Open
Symbolic regression (SR) has regained research prominence as deep learning advancements accelerate the search for analytical models from observational data. However, the vast search space often hinders existing algorithms to yield complex …
View article: Software Engineering for Modeling, Simulation, and Collaboration in High Automation
Software Engineering for Modeling, Simulation, and Collaboration in High Automation Open
Dynamically emerging application of highly automated systems in many areas of our life increasingly needs task specific advanced model-simulation representations, model-based communications, cyber-physical controls, learning algorithms, an…
View article: The Validation of the Parental Self-Efficacy Scale for Diabetes Management Among Parents of Children Wearing a Continuous Glucose Monitoring Sensor
The Validation of the Parental Self-Efficacy Scale for Diabetes Management Among Parents of Children Wearing a Continuous Glucose Monitoring Sensor Open
Background/Objectives: Parental involvement is essential in managing type 1 diabetes mellitus (T1DM) in children, particularly with the growing use of continuous glucose monitoring (CGM). Validated tools assessing parental self-efficacy in…
View article: Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach
Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach Open
Background: Infant brain tissue segmentation from MRI data is a critical task in medical imaging, particularly challenging due to the evolving nature of tissue contrasts in the early months of life. The difficulty increases as gray matter …
View article: Population norms for the EQ-5D-5L for Hungary: comparison of online surveys and computer assisted personal interviews
Population norms for the EQ-5D-5L for Hungary: comparison of online surveys and computer assisted personal interviews Open
Background and objectives The aims of this study were to provide population norms for EQ-5D-5L in Hungary and investigate the differences in EQ-5D-5L normative data by survey mode, i.e. online surveys and computer assisted personal intervi…
View article: Developing a Health Support System to Promote Care for the Elderly
Developing a Health Support System to Promote Care for the Elderly Open
In light of the demographic shift towards an aging population, there is an increasing prevalence of dementia among the elderly. The negative impact on mental health is preventing individuals from taking proper care of themselves. For indiv…
View article: Implementation of Network Data Analysis Using the Neo4j Graph Database
Implementation of Network Data Analysis Using the Neo4j Graph Database Open
The analysis of network data is essential alongside the growth of digitalization and the Internet of Things (IoT). Managing complex connections in modern networks poses significant challenges for traditional relational databases due to the…
View article: LIBOR: its inception, golden era and downfall
LIBOR: its inception, golden era and downfall Open
LIBOR, the reference interest rate of the London interbank market, served for decades as a cornerstone of the global financial system. As a benchmark rate, it influenced financial contracts worth trillions of dollars worldwide. In this stu…
View article: Personalized and Demand-Based Education Concept: Practical Tools for Control Engineers
Personalized and Demand-Based Education Concept: Practical Tools for Control Engineers Open
This paper presents a personalized lecture concept using educational blocks and its demonstrative application in a new university lecture. Higher education faces daily challenges: deep and specialized knowledge is available from everywhere…
View article: Enhancing Brain Tumor Diagnosis with L-Net: A Novel Deep Learning Approach for MRI Image Segmentation and Classification
Enhancing Brain Tumor Diagnosis with L-Net: A Novel Deep Learning Approach for MRI Image Segmentation and Classification Open
Background: Brain tumors are highly complex, making their detection and classification a significant challenge in modern medical diagnostics. The accurate segmentation and classification of brain tumors from MRI images are crucial for effe…
View article: Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor
Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor Open
For individuals diagnosed with diabetes mellitus, it is crucial to keep a record of the carbohydrates consumed during meals, as this should be done at least three times daily, amounting to an average of six meals. Unfortunately, many indiv…
View article: Reinforcement Learning: A Paradigm Shift in Personalized Blood Glucose Management for Diabetes
Reinforcement Learning: A Paradigm Shift in Personalized Blood Glucose Management for Diabetes Open
Background/Objectives: Managing blood glucose levels effectively remains a significant challenge for individuals with diabetes. Traditional methods often lack the flexibility needed for personalized care. This study explores the potential …
View article: An Effective and Robust Parameter Estimation Method in a Self-Developed, Ultra-Low Frequency Impedance Spectroscopy Technique for Large Impedances
An Effective and Robust Parameter Estimation Method in a Self-Developed, Ultra-Low Frequency Impedance Spectroscopy Technique for Large Impedances Open
Bioimpedance spectrum (BIS) measurements are highly appreciated in in vivo studies. This non-destructive method, supported by simple and efficient instrumentation, is widely used in clinical applications. The multi-frequency approach allow…
View article: Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks
Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks Open
Diabetes mellitus (DM) is a persistent metabolic disorder associated with the hormone insulin. The two main types of DM are type 1 (T1DM) and type 2 (T2DM). Physical activity plays a crucial role in the therapy of diabetes, benefiting both…