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Article
Realistic medical image super-resolution with pyramidal feature multi-distillation networks for intelligent healthcare systems
There are two key requirements for medical lesion image super-resolution reconstruction in intelligent healthcare systems: clarity and reality. Because only clear and real super-resolution medical images can e...
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Article
Open AccessMAVS integrates glucose metabolism and RIG-I-like receptor signaling
MAVS is an adapter protein involved in RIG-I-like receptor (RLR) signaling in mitochondria, peroxisomes, and mitochondria-associated ER membranes (MAMs). However, the role of MAVS in glucose metabolism and RLR...
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Article
CIOD: an intelligent class-incremental object detection system with nearest mean of exemplars
Object detection has been widely used in intelligent video surveillance, robot navigation, industrial detection, and other fields. Object detection can effectively reduce the consumption of human capital and h...
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Article
SHFW: second-order hybrid fusion weight–median algorithm based on machining learning for advanced IoT data analytics
IoT applications have greatly improved the convenience of our lives, generating large amounts of IoT data. How to efficiently use these data to feed IoT applications has become a significant research problem, ...
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Article
GREB: gradient re-balanced loss for long-tailed multi-lable classification
Image classification has witnessed a remarkable advancement in class-balanced benchmarks. However, the natural distribution of datasets in real-world scenarios are long-tailed. Long-tailed classification has b...
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Article
Experimental study on mechanical properties and effective stress coefficient of water-saturated sandstone under hydraulic-mechanical coupling
In order to study the hydraulic-mechanical coupling law of deep fractured rock aquifer, based on the existing principal of effective stress, this paper obtained the mechanical parameters such as axial stress, ...
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Article
MCEN: a method of simultaneous variable selection and clustering for high-dimensional multinomial regression
Multinomial regression is often used to investigate the association between potential independent variables and multi-class nominal responses such as multiple disease subtypes. However, it cannot identify grou...
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Article
Open AccessSmall sample-based disease diagnosis model acquisition in medical human-centered computing
With the development of wireless communications and networks, HCC (human-centred computing) has attracted considerable attention in recent years throughout the medical field. HCC can provide an effective integ...
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Article
Inducible Rubicon facilitates viral replication by antagonizing interferon production
The RUN domain Beclin-1-interacting cysteine-rich-containing (Rubicon) protein is involved in the maturation step of autophagy and the endocytic pathway as a Beclin-1-binding partner, but little is known regar...
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Chapter and Conference Paper
Unified Description of DOF of Crank Group Mechanism Based Screw Theory
The link truss was defined by analyzing the kinematics of the basic unit of the crank group mechanism, and summarized the structure unity in the crank group mechanisms with different topological structure. The...
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Chapter
Network Analysis and Applications in Pediatric Research
Networks, where nodes denote entities and links denote associations, provide a unified representation for a variety of complex systems, from social relationships to molecular interactions. In an era of big dat...
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Article
Computational and statistical analysis of metabolomics data
Metabolomics is the comprehensive study of small molecule metabolites in biological systems. By assaying and analyzing thousands of metabolites in biological samples, it provides a whole picture of metabolic s...
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Chapter
Model Reduction of Nonlinear Continuous Dynamic Systems on Inertial Manifolds with Delay
In comparison with traditional Approximate Inertial Manifolds (AIMs), an Approximate Inertial Manifolds with Time Delay (AIMTDs) is constructed for the model reduction of nonlinear continuous dynamic system go...
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Chapter and Conference Paper
Model Reduction on Inertial Manifolds of Navier–Stokes Equations Through Multi-scale Finite Element
Multilevel finite element method is used to approach the Approximate Inertial Manifolds (AIMs) from viewpoint of nonlinear dynamics, in the computational fluid dynamics. By this method, an unknown variable is ...
