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SMILEY—assistive application to support social and emotional skills in SPCD individuals
AbstractAccording to the available studies, mobile applications have provided significant support in improving the diverse skills of special...
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Agile model-driven re-engineering
In this paper we describe an Agile model-driven engineering (MDE) approach, AMDRE, for the re-engineering of legacy systems. The objective is to...
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Classification of Parkinson’s disease severity using gait stance signals in a spatiotemporal deep learning classifier
AbstractParkinson’s disease (PD) is a degenerative nervous system disorder involving motor disturbances. Motor alterations affect the gait according...
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A unified approach for Parkinson’s disease recognition: imbalance mitigation and grid search optimized boosting with LightGBM
The work elucidates the importance of accurate Parkinson’s disease classification within medical diagnostics and introduces a novel framework for...
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Multi-label classification of retinal diseases based on fundus images using Resnet and Transformer
Retinal disorders are a major cause of irreversible vision loss, which can be mitigated through accurate and early diagnosis. Conventionally, fundus...
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Transitioning towards SysML v2 as a variability modeling language
Systems engineers seek ways to reuse system models to accelerate the initial design development process on new complex projects. Despite its promise,...
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Ensemble learning based anomaly detection for IoT cybersecurity via Bayesian hyperparameters sensitivity analysis
The Internet of Things (IoT) integrates more than billions of intelligent devices over the globe with the capability of communicating with other...
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Multi-modality multi-label ocular abnormalities detection with transformer-based semantic dictionary learning
AbstractBlindness is preventable by early detection of ocular abnormalities. Computer-aided diagnosis for ocular abnormalities is built by analyzing...
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Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases
The use of invasive mechanical ventilation (IMV) is crucial in rescuing patients with respiratory dysfunction. Accurately predicting the demand for...
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Influence of framing coil orientation and its shape on the hemodynamics of a basilar aneurysm model
AbstractAneurysms are bulges of an artery, which require clinical management solutions. Due to the inherent advantages, endovascular coil filling is...
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Machine learning models’ assessment: trust and performance
AbstractThe common black box nature of machine learning models is an obstacle to their application in health care context. Their widespread...
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Evaluation of geosynthetic encased columns in Zambian heterogenous soils
The development of Zambia has brought increased large-scale infrastructure construction that has necessitated the need for improved foundation...
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Layer-selective deep representation to improve esophageal cancer classification
AbstractEven though artificial intelligence and machine learning have demonstrated remarkable performances in medical image computing, their...
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Soft-tissue sound-speed-aware ultrasound-CT registration method for computer-assisted orthopedic surgery
Ultrasound (US) has been introduced to computer-assisted orthopedic surgery for bone registration owing to its advantages of nonionizing radiation,...
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Automatic text classification of prostate cancer malignancy scores in radiology reports using NLP models
AbstractThis paper presents the implementation of two automated text classification systems for prostate cancer findings based on the PI-RADS...
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CommanderUAP: a practical and transferable universal adversarial attacks on speech recognition models
Most of the adversarial attacks against speech recognition systems focus on specific adversarial perturbations, which are generated by adversaries...
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Preparation of surgical meshes using self-regulating technology based on reaction-diffusion processes
AbstractWhile reaction-diffusion processes are utilized in multiple scientific fields, these phenomena have seen limited practical application in the...
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Abnormal trial-to-trial variability in P300 time-varying directed eeg network of schizophrenia
Cognitive disturbance in identifying, processing, and responding to salient or novel stimuli are typical attributes of schizophrenia (SCH), and P300...
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Optimized attention-induced multihead convolutional neural network with efficientnetv2-fostered melanoma classification using dermoscopic images
AbstractMelanoma is an uncommon and dangerous type of skin cancer. Dermoscopic imaging aids skilled dermatologists in detection, yet the nuances...
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Enhancing fairness of trading environment: discovering overlap** spammer groups with dynamic co-review graph optimization
Within the thriving e-commerce landscape, some unscrupulous merchants hire spammer groups to post misleading reviews or ratings, aiming to manipulate...
