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Effect of sagittal alignment on spinal cord biomechanics in the stenotic cervical spine during neck flexion and extension
Spinal cord stress and strain contribute to degenerative cervical myelopathy (DCM), while cervical kyphosis is known to negatively impact surgical...
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Parameters optimization and precision enhancement of Takagi–Sugeno fuzzy neural network
Takagi–Sugeno fuzzy neural network (TSFNN) has been widely used in intelligent prediction. The prediction accuracy of TSFNN is impacted by its model...
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Fake and propaganda images detection using automated adaptive gaining sharing knowledge algorithm with DenseNet121
An additional tool for swaying public opinion on social media is to present recent developments in the creation of natural language. The term “Deep...
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Subgraph generation applied in GraphSAGE deal with imbalanced node classification
In graph neural network applications, GraphSAGE applies inductive learning and has been widely applied in important research topics such as node...
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Magnetic-guided nanocarriers for ionizing/non-ionizing radiation synergistic treatment against triple-negative breast cancer
BackgroundTriple-negative breast cancer (TNBC) is a subtype of breast cancer with the worst prognosis. Radiotherapy (RT) is one of the core...
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A hybridization of multiple imputation and one-class bagging ensemble approach for missing value and class imbalance problem
Class imbalance in a dataset leads to erroneous outcomes that engrave the learning techniques and high misclassification cost in the minority class....
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Statistical inference on multicomponent stress–strength reliability with non-identical component strengths using progressively censored data from Kumaraswamy distribution
In this article, we draw inferences on stress–strength reliability in a multicomponent system with non-identical strength components based on the...
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A novel artificial electric field strategy for economic load dispatch problem with renewable penetration
This article presents an innovative method to address the economic load dispatch (ELD) problem in power systems incorporating renewable energy...
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An improved approach for incomplete information modeling in the evidence theory and its application in classification
Incomplete information modeling and fusion under uncertain circumstances remain a significant open problem in practical engineering. In this study,...
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Evolution of hadron therapy from 1935 to 2005: a personal view
IntroductionHadron therapy is today an established modality in cancer radiation therapy that, world-wide, is available in about hundred centres....
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Heart disease classification based on combination of PCA /ANFIS model
PurposeThis study aims to create an intelligent system for the classification of electrocardiogram (ECG) signals using a combined approach of...
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Weed detection in precision agriculture: leveraging encoder-decoder models for semantic segmentation
Precision agriculture uses data gathered from various sources to improve agricultural yields and the effectiveness of crop management techniques like...
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On weighted threshold moment estimation of uncertain differential equations with applications in interbank rates analysis
Uncertainty theory is a branch of mathematics for modeling belief degrees. Within the framework of uncertainty theory, uncertain variable is used to...
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Research Progress on Bio-inspired Flap**-Wing Rotor Micro Aerial Vehicle Development
Flap**-wing rotor (FWR) is an innovative bio-inspired micro aerial vehicle capable of vertical take-off and landing. This unique design combines...
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Plate fixation of inferior ramus in pubis-ischium ramus improves mechanical stability in Tile B pelvic injures: a cadaveric biomechanical analysis and early clinical experience
BackgroundManagement of inferior ramus of the pubis-ischium ramus remains controversial, and related research is sparse. The main intention of this...
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Modeling cardiac microcirculation for the simulation of coronary flow and 3D myocardial perfusion
Accurate modeling of blood dynamics in the coronary microcirculation is a crucial step toward the clinical application of in silico methods for the...
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Characterizations of compactness of fuzzy set space with endograph metric
In this paper, we present the characterizations of total boundedness, relative compactness and compactness in fuzzy set spaces equipped with the...
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A new uncertain multi-objective rumor intervention model
Internet rumors have no factual basis, lack credibility, and can easily trigger social panic and group attacks. Measures to effectively intervene in...
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Sentiments analysis for intelligent customer service dialogue using hybrid word embedding and stacking ensemble
The intelligent customer service conversations between customer and customer service agent exhibit characteristics such as serious colloquialism, a...
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ADMRF: Elucidation of deep feature extraction and adaptive deep Markov random fields with improved heuristic algorithm for speech emotion recognition
On considering Human–Computer Interaction, the recognition of emotion over speech is developed from the niche phase into the most essential...
