247 Result(s)
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Artificial Intelligence
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Open AccessTransfer metric learning: algorithms, applications and outlooks
Distance metric learning (DML) aims to find an appropriate way to reveal the underlying data relationship. It is critical in many machine learning, pattern recognition and data mining algorithms, and usually r...
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Open AccessIntelligent analysis of android application privacy policy and permission consistency
With the continuous development of mobile devices, mobile applications bring a lot of convenience to people’s lives. The abuse of mobile device permissions is prone to the risk of privacy leakage. The existing...
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Retraction Note: Placement delivery array design for the coded caching scheme in medical data sharing
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Open AccessTemporal-spatial deciphering mental subtraction in the human brain
Mental subtraction, involving numerical processing and operation, requires a complex interplay among several brain regions. Diverse studies have utilized scalp electroencephalograph, electrocorticogram, or fun...
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Open AccessShuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction
The variational quantum eigensolver (VQE) is a leading strategy that exploits noisy intermediate-scale quantum (NISQ) machines to tackle chemical problems. It is expected to demonstrate quantum advantage when ...
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Open AccessPattern Control of Neural Networks with Two-Dimensional Diffusion and Mixed Delays
In this paper, a two-neuron reaction–diffusion neural network with discrete and distributed delays is proposed, and the state feedback control strategy is adopted to achieve control of its spatiotemporal dynam...
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Open AccessAn Underwater Biomimetic Robot that can Swim, Bipedal Walk and Grasp
In develo** and exploring extreme and harsh underwater environments, underwater robots can effectively replace humans to complete tasks. To meet the requirements of underwater flexible motion and comprehensi...
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Open AccessTarget Oriented Dynamic Adaption for Cross-Domain Few-Shot Learning
Few-shot learning has achieved satisfactory progress over the years, but these methods implicitly hypothesize that the data in the base (source) classes and novel (target) classes are sampled from the same dat...
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Open AccessAugmented reality presentation system of skeleton image based on biomedical features
Aimed at limitations in the description and expression of three-dimensional (3D) physical information in two-dimentsional (2D) medical images, feature extraction and matching method based on the biomedical cha...
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Open AccessRetraction Note: Research on Feature Extraction and Diagnosis Method of Gearbox Vibration Signal Based on VMD and ResNeXt
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Open AccessExtracting Features from Foul Actions of Basketball Players in Real Time Using Machine Vision
As the global economic landscape rapidly advances and people's quality of life continues to improve, there is a noticeable increase in the demand for various sports, including basketball. Athletes of diverse s...
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Open AccessCLSTM-SNP: Convolutional Neural Network to Enhance Spiking Neural P Systems for Named Entity Recognition Based on Long Short-Term Memory Network
Membrane computing is a type of parallel computing system (generally called P system) abstracted from information exchange mechanisms in biological cells, tissues, or neurons, which can process data in a distr...
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Open AccessAI empowered Auslan learning for parents of deaf children and children of deaf adults
Communication poses a challenge for the deaf and hearing loss community. This difficulty is even more pronounced in the families of Children of Deaf Adults (CODAs) and Parents of Deaf Children (PODCs). To help...
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Open AccessA Correlation-Redundancy Guided Evolutionary Algorithm and Its Application to High-Dimensional Feature Selection in Classification
The processing of high-dimensional datasets has become unavoidable with the development of information technology. Most of the literature on feature selection (FS) of high-dimensional datasets focuses on impro...
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Open AccessPedagogy, Cognition, Human Rights, and Social Justice
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Open AccessLow-density parity-check codes: tracking non-stationary channel noise using sequential variational Bayesian estimates
We present a sequential Bayesian learning method for tracking non-stationary signal-to-noise ratios in low-density parity-check (LDPC) codes by way of probabilistic graphical models. We represent the LDPC code...
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Open AccessAdaptive wideband sensing scheme based on Bayesian experimental design
In this paper, we investigate the problem of wideband sensing for cognitive radio. Due to resource constraint, a cognitive node targets at finding a given number of spectrum holes, which is studied under a nov...
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Knowledge-based and data-driven underground pressure forecasting based on graph structure learning
The pressure prediction technology whereby represents the rock pressure law in the excavation is fundamental to safety in production and industrial intelligentization. A growing number of researchers dedicate ...
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Open AccessA Quantum-Inspired Direct Learning Strategy for Positive and Unlabeled Data
Learning from only positive and unlabeled (PU) data has broad applications in fields such as web data mining, product recommendations and medical diagnosis, which aims to train a binary classifier in the absen...
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Open AccessAPT Attack Detection Based on Graph Convolutional Neural Networks
Advanced persistent threat (APT) attacks are malicious and targeted forms of cyberattacks that pose significant challenges to the information security of governments and enterprises. Traditional detection meth...
