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HSS: enhancing IoT malicious traffic classification leveraging hybrid sampling strategy
Using deep learning models to deal with the classification tasks in network traffic offers a new approach to address the imbalanced Internet of...
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Ablation catheter–induced mechanical deformation in myocardium: computer modeling and ex vivo experiments
Cardiac catheter ablation requires an adequate contact between myocardium and catheter tip. Our aim was to quantify the relationship between the...
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Examining Ethical and Social Implications of Digital Mental Health Technologies Through Expert Interviews and Sociotechnical Systems Theory
This paper aims to understand how science and technology experts working in the digital mental health field interpret the ethical and social...
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Dynamic temporal neural patterns based on multichannel LFPs Identify different brain states during anesthesia in pigeons: comparison of three anesthetics
Anesthetic-induced brain activity study is crucial in avian cognitive-, consciousness-, and sleep-related research. However, the neurobiological...
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HDLP: air quality modeling with hybrid deep learning approaches and particle swam optimization
Predicting air pollution in cities has become an important tool for preventing its negative impacts. Therefore, citizens should be aware of air...
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Key derivable signature and its application in blockchain stealth address
Stealth address protocol (SAP) is widely used in blockchain to achieve anonymity. In this paper, we formalize a key derivable signature scheme (KDS)...
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CT-Net: an interpretable CNN-Transformer fusion network for fNIRS classification
Functional near-infrared spectroscopy (fNIRS), an optical neuroimaging technique, has been widely used in the field of brain activity recognition and...
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Patient-specific cerebral 3D vessel model reconstruction using deep learning
Three-dimensional vessel model reconstruction from patient-specific magnetic resonance angiography (MRA) images often requires some manual maneuvers....
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Analysis of non-physiological shear stress-induced red blood cell trauma across different clinical support conditions of the blood pump
Systematic research into device-induced red blood cell (RBC) damage beyond hemolysis, including correlations between hemolysis and RBC-derived...
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Processing of clinical notes for efficient diagnosis with feedback attention–based BiLSTM
Predicting a patient’s future health state through the analysis of their clinical records is an emerging area in the field of intelligent medicine....
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Skip connection information enhancement network for retinal vessel segmentation
AbstractMany major diseases of the retina often show symptoms of lesions in the fundus of the eye. The extraction of blood vessels from retinal...
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Mixture-of-experts and semantic-guided network for brain tumor segmentation with missing MRI modalities
Accurate brain tumor segmentation with multi-modal MRI images is crucial, but missing modalities in clinical practice often reduce accuracy. The aim...
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The origin of intraluminal pressure waves in gastrointestinal tract
AbstractThe gastrointestinal (GI) peristalsis is an involuntary wave-like contraction of the GI wall that helps to propagate food along the tract....
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A comparative analysis of different augmentations for brain images
Deep learning (DL) requires a large amount of training data to improve performance and prevent overfitting. To overcome these difficulties, we need...
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A systematic exploration of sco** and map** literature reviews
Systematic literature map** can help researchers identify gaps in the research and provide a comprehensive overview of the available evidence....
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BranchLabelNet: Anatomical Human Airway Labeling Approach using a Dividing-and-Grou** Multi-Label Classification
Anatomical airway labeling is crucial for precisely identifying airways displaying symptoms such as constriction, increased wall thickness, and...
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DDLA: a double deep latent autoencoder for diabetic retinopathy diagnose based on continuous glucose sensors
The current diagnosis of diabetic retinopathy is based on fundus images and clinical experience. However, considering the ineffectiveness and...
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EEG dynamic source imaging using a regularized optimization with spatio-temporal constraints
One of the most important needs in neuroimaging is brain dynamic source imaging with high spatial and temporal resolution. EEG source imaging...
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Responsible AI-Based Business Process Management and Improvement
Organizations today seek to improve and adapt their business processes because of an increasingly competitive economy. The use and application of...
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IT2F-SEDNN: an interval type-2 fuzzy logic-based stacked ensemble deep learning approach for early phase software dependability analysis
The growing size, complexity of software systems, and complex development process pose a difficult challenge in predicting dependability attributes...
