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A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test
The global prevalence of dementia is on the rise, posing a challenge to healthcare systems worldwide. The disease leads to irreversible deterioration... -
Influence of Color on Academic Performance: A Studio with Auditory Sustained Attention Within a Virtual Scenario
It is known that colors and lighting have an influence on human physiology with potential affection to cognitive performance. Although according to... -
Using Touch to Improve Emotion Recognition: Proposed System and Expert Validation
This paper explores the relationship between facial expressions of emotions and the sense of touch, with the future aim of investigating their impact... -
Emotion Prediction in Real-Life Scenarios: On the Way to the BIRAFFE3 Dataset
Despite over 20 years of research in affective computing, emotion prediction models that would be useful in real-life out-of-the-lab scenarios such... -
Enhancing Intensity Differences in EEG Cross-Frequency Coupling Maps for Dyslexia Detection
In this study, we introduced and applied a novel histogram transformation technique to enhance the interpretability and discriminative power of... -
Explainable Exploration of the Interplay Between HRV Features and EEG Local Connectivity Patterns in Dyslexia
Heart Rate Variability (HRV) is a measure of the variation in time between successive heartbeats, reflecting the influence of the autonomic nervous... -
A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson’s Disease
Parkinson’s disease (PD) is a neurodegenerative disorder that affects millions of people worldwide. The diagnosis of PD is based on clinical and... -
Speed-Invariant Gait Recognition Using Correlation Factor Lists for Classroom Attendance Systems
The way a person walks is an important biometric used in many human detection applications, including classroom attendance systems. In such... -
Effectiveness of Influencer Marketing on Gen Z Consumers
With the growing popularity of influencer marketing among Gen Z consumers, there are many challenges posed with it in addition to its high claimed... -
Sparse Representation with Residual Learning Model for Medical Image Classification
In the context of medical image analysis and computer-aided diagnosis, accurate classification of medical images is crucial. Deep learning methods... -
Comparative Analysis of Economy-Based Multivariate Oil Price Prediction Using LSTM
Predicting unrefined petroleum prices is crucial for decision-makers, financiers, and academics in the energy industry. This paper presents an... -
The Potential of 1D-CNN for EEG Mental Attention State Detection
In cognitive neuroscience, attention detection via electroencephalogram (EEG) signals is a crucial task, especially when looking into brain-computer... -
A Novel Unsupervised Learning Approach for False Data Injection Attack Detection in Smart Grid
Smart grids, enhanced by integrating new technologies like home energy management systems (HEMS) and smart meters, face risks like false data... -
Potato Leaf Disease Classification Using Deep Learning Model
India’s primary industry is agriculture, which suffers an annual loss of 35% agricultural yield due to plant diseases. Illness-related harvest losses... -
In Silico Application of the Epsilon-Greedy Algorithm for Frequency Optimization of Electrical Neurostimulation for Hypersynchronous Disorders
One of the most promising alternatives to suppress epileptic seizures in drug-resistant and neurosurgery-refractory patients is using... -
Evaluation of Wnt/ \(\upbeta \) -Catenin Pathway Modulation on CA3-CA1 Synaptic Plasticity Model: An Aproximation to Alzheimer Disease
Introduction: The Wnt/ \(\upbeta \) -Catenin... -
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Erstellen einfacher Grafiken
In diesem Kapitel werden wir die einfachsten Möglichkeiten beschreiben, Grafiken mit dem Package Plots.jl zu erstellen. Neben der Darstellung fester... -
Vektorfelder, 3D-Plots, Oberflächen und Niveaulinien
Diese Kapitel deckt die Erstellung von Vektorfeldern, parametrischen Kurven, Oberflächen sowie Niveaulinien ab. Zusätzlich werden die... -
Interaktive Anwendungen und Animationen
Bisher haben wir lediglich statische Grafiken betrachtet. In diesem Kapitel soll nun das Handwerkszeug zum Erstellen interaktiver Grafiken...