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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...
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In-depth Correlation Power Analysis Attacks on a Hardware Implementation of CRYSTALS-Dilithium
During the standardisation process of post-quantum cryptography, NIST encourages research on side-channel analysis for candidate schemes. As the...
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Session-independent subject-adaptive mental imagery BCI using selective filter-bank adaptive Riemannian features
AbstractThe brain-computer interfaces (BCIs) facilitate the users to exploit information encoded in neural signals, specifically electroencephalogram...
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Atomic cross-chain swap based on private key exchange
Atomic Cross-Chain Swap (ACCS) is one important topic in cryptocurrency, where users can securely and trustlessly exchange assets between two...
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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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Effect of trabecular architectures on the mechanical response in osteoporotic and healthy human bone
Research at the mesoscale bone trabeculae arrangement yields intriguing results that, due to their clinical resolution, can be applied in clinical...
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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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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)...
