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A deep learning based cognitive model to probe the relation between psychophysics and electrophysiology of flicker stimulus
The flicker stimulus is a visual stimulus of intermittent illumination. A flicker stimulus can appear flickering or steady to a human subject,...
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Improving Likert scale big data analysis in psychometric health economics: reliability of the new compositional data approach
Bipolar psychometric scales data are widely used in psychologic healthcare. Adequate psychological profiling benefits patients and saves time and...
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A multi-source heterogeneous medical data enhancement framework based on lakehouse
Obtaining high-quality data sets from raw data is a key step before data exploration and analysis. Nowadays, in the medical domain, a large amount of...
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DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis
Nowadays, cervical cancer is a leading cause of death among women. Determining the gene signature is one of the major issues in bioinformatics....
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Network pharmacology and experimental validation to explore the anti-aging mechanism of action of betulinic acid
This subject aims to investigate the potential targets and mechanism of action of betulinic acid in anti-aging through network pharmacology,...
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A survey: contribution of ML & DL to the detection & prevention of botnet attacks
Machine Learning (ML) and Deep Learning (DL) are transforming the detection and prevention of botnets, significant threats in cybersecurity. In this...
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Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application
AbstractMost process mining techniques are primarily automated, meaning that process analysts input information and receive output. As a result,...
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Medical image super-resolution via transformer-based hierarchical encoder–decoder network
Medical image super-resolution (SR) has emerged as an effective means to enhance the resolution of medical images. Nevertheless, many existing...
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A formal model-based approach to design failure-aware Internet of Things architectures
The Internet of Things (IoT) is expanding its application domains and deployments due to its rapid development. Within such architectures, ensuring...
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MELEP: A Novel Predictive Measure of Transferability in Multi-label ECG Diagnosis
In practical electrocardiography (ECG) interpretation, the scarcity of well-annotated data is a common challenge. Transfer learning techniques are...
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A transfer learning enabled approach for ocular disease detection and classification
Ocular diseases pose significant challenges in timely diagnosis and effective treatment. Deep learning has emerged as a promising technique in...
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A rule-based protein classification approach using normalized distance-based encoding method
Protein classification is a burgeoning field in biological data mining, underscoring the importance of devising effective feature extraction methods....
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A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques
Neuromarketing is an emerging research field that aims to understand consumers’ decision-making processes when choosing which product to buy. This...
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GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images
This paper leverages the effectiveness of variational autoencoders in removing hair in dermoscopy images and presents an enhanced approach that...
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Connecto-informatics at the mesoscale: current advances in image processing and analysis for map** the brain connectivity
Map** neural connections within the brain has been a fundamental goal in neuroscience to understand better its functions and changes that follow...
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Multi-view graph-based interview representation to improve depression level estimation
Depression is a serious mental illness that affects millions worldwide and consequently has attracted considerable research interest in recent years....
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Brain age gap estimation using attention-based ResNet method for Alzheimer’s disease detection
This study investigates the correlation between brain age and chronological age in healthy individuals using brain MRI images, aiming to identify...
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Investigating novel antifungal strategies through molecular docking & dynamics simulations of oxidative stress response in Candida albicans
Candida albicans , a common fungus in the human mycobiota, can cause infections ranging from mild superficial to severe systemic candidiasis, leading...
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A deep ensemble learning framework for COVID-19 detection in chest X-ray images
The rapid outbreak of COVID-19 has proven to be a dangerous virus with catastrophic effects on large populations and health systems worldwide....
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A systematic review of graph-based explorations of PPI networks: methods, resources, and best practices
This systematic review aims to provide a comprehensive overview of graph-based methodologies utilized in the analysis of protein–protein interaction...
