Search
Search Results
-
Dominant 1/3-filling correlated insulator states and orbital geometric frustration in twisted bilayer graphene
Geometric frustration occurs in a lattice system when not all the interactions can be satisfied simultaneously. The simplest example is...
-
Empowering deep neural quantum states through efficient optimization
Computing the ground state of interacting quantum matter is a long-standing challenge, especially for complex two-dimensional systems. Recent...
-
Intervalley coherence and intrinsic spin–orbit coupling in rhombohedral trilayer graphene
Rhombohedral graphene multilayers provide a clean and highly reproducible platform to explore the emergence of superconductivity and magnetism in a...
-
A nonlinear optimal control approach for 3-DOF four-cable driven parallel robots
In this article, a nonlinear optimal control approach is proposed for the dynamic model of 3-DOF four-cable driven parallel robots (CDPR). To solve...
-
An enhanced QoS approach for multi-objective optimization using social spider optimization 5G enable IoMT network
Social Spider Optimization (SSO) is a swarm algorithm, based on the mating and cooperating behaviour of social spiders. This approach is basically...
-
Non-Abelian braiding of Fibonacci anyons with a superconducting processor
Quantum many-body systems with a non-Abelian topological order can host anyonic quasiparticles. It has been proposed that anyons could be used to...
-
A method for visualizing urban road events using distributed acoustic sensing
This study presents the construction of an urban underground sensing system using distributed acoustic sensing (DAS) technology, which utilizes the...
-
CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models
Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to...
-
A new feature selection algorithm based on fuzzy-pathfinder optimization
Data mining and machine learning require feature selection because features can dramatically improve model performance. In contrast, there are no...
-
Advancing personal identity verification by integrating facial recognition through deep learning algorithms
This research delves into the realm of facial recognition technology, leveraging the power of convolutional neural network (CNN) to enhance personal...
-
Topological edge and corner states in bismuth fractal nanostructures
Topological materials hosting metallic edges characterized by integer-quantized conductivity in an insulating bulk have revolutionized our...
-
Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
In recent years, the diagnosis of gliomas has become increasingly complex. Analysis of glioma histopathology images using artificial intelligence...
-
-
-
Stable Recovery of Coefficients in an Inverse Fault Friction Problem
We consider the inverse fault friction problem of determining the friction coefficient in the Tresca friction model, which can be formulated as an...
-
An end-to-end hand action recognition framework based on cross-time mechanomyography signals
The susceptibility of mechanomyography (MMG) signals acquisition to sensor donning and doffing, and the apparent time-varying characteristics of...
-
Consensus representation-driven structured graph learning for multi-view clustering
Graph-based multi-view clustering has gained increasing attention due to its ability to effectively unveil complex nonlinear structures among data...
-
Visual Question Answer System for Skeletal Image Using Radiology Images in the Healthcare Domain Based on Visual and Textual Feature Extraction Techniques
The Medical Imaging Query Response System is among the most challenging concepts in the medical field. It requires a significant amount of effort to...
-
Automated design of hybrid halide perovskite monolayers for band gap engineering
The recent experimental confirmation of perovskite monolayers has sparked ongoing efforts in their prediction and synthesis, showcasing their...