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5,761 Result(s)
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Article
Open AccessFederated learning for biometric recognition: a survey
Recently, deep learning (DL) has achieved great success in biometric recognition. The application of DL has also led to a high demand for biometric data. However, as people attach more importance to privacy pr...
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Open AccessCyclic Refiner: Object-Aware Temporal Representation Learning for Multi-view 3D Detection and Tracking
We propose a unified object-aware temporal learning framework for multi-view 3D detection and tracking tasks. Having observed that the efficacy of the temporal fusion strategy in recent multi-view perception m...
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Retraction Note: Online task scheduling and English online cooperative learning based on 5G mobile communication network
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SIM-GCN: similarity graph convolutional networks for charges prediction
In recent years, the analysis of legal judgments and the prediction of outcomes based on case factual descriptions have become hot research topics in the field of judiciary. Among them, the task of charge pred...
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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 parameter choices. However, the manual selection of paramete...
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Open AccessResearch 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 active flap** motion and passive wing rotation around a vert...
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Better electrobiological markers and a improved automated diagnostic classifier for schizophrenia—based on a new EEG effective information estimation framework
Advances in AI techniques have fueled research on using EEG data for psychiatric disorder diagnosis. Despite EEG’s cost-effectiveness and high temporal resolution, low Signal-to-Noise Ratio (SNR) hampers criti...
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Open AccessInfproto-Powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization in Medical Images
Designing a single domain generalization (DG) framework that generalizes from one source domain to arbitrary unseen domains is practical yet challenging in medical image segmentation, mainly due to the domain ...
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Open AccessGeneration and Countermeasures of adversarial examples on vision: a survey
Recent studies have found that deep learning models are vulnerable to adversarial examples, demonstrating that applying a certain imperceptible perturbation on clean examples can effectively deceive the well-t...
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Open AccessReview of few-shot learning application in CSI human sensing
Wi-Fi sensing has garnered increasing interest for its significant advantages, primarily leveraging Wi-Fi signal fluctuations induced by human activities and advanced neural network algorithms. However, its ap...
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Cross-dimensional knowledge-guided synthesizer trained with unpaired multimodality MRIs
Magnetic resonance images (MRIs) of different modalities have different reference values for pathological diagnosis. The difficulty of obtaining multimodal MRIs makes it effective to synthesize medical images ...
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Retraction Note: A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering
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Automated catastrophic optical damage inspection of semiconductor laser chip based on multi-scale strip convolution aggregation
Catastrophic optical damage (COD) is one of the reasons limiting the output power and lifetime of semiconductor lasers. Nevertheless, the automatic defects inspection of the COD is a challenging task due to se...
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Multi-scale deep echo state network for time series prediction
Echo state network (ESN) has widely attracted many researchers due to its training process without backpropagation. However, it is hard for single ESN to fit those complex and polytrophic situations. Under thi...
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A fine-grained convolutional recurrent model for obstructive sleep apnea detection
Obstructive Sleep Apnea (OSA) is a prevalent sleep-related breathing disorder that leads to various health issues such as hypertension, heart disease, diabetes, and stroke. In order to achieve a convenient, ro...
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A Review of Key Technologies for Emotion Analysis Using Multimodal Information
Emotion analysis, an integral aspect of human–machine interactions, has witnessed significant advancements in recent years. With the rise of multimodal data sources such as speech, text, and images, there is a...
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Remote assessment of Parkinson’s disease symptom severity based on group interaction feature assistance
Telemonitoring is an effective way to assess the severity of Parkinson's disease (PD). Due to heterogeneity and small sample sizes, the multi-task learning is applied to build the specific model for PD patient...
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Deformable shape matching with multiple complex spectral filter operator preservation
The functional maps framework has achieved remarkable success in non-rigid shape matching. However, the traditional functional map representations do not explicitly encode surface orientation, which can easily...
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Article
FPGA-based small-world spiking neural network with anti-interference ability under external noise
Neuromorphic hardware has become hotspot in the field of brain-like computing due to its advantages. However, the presence of external noise imposes challenges with respect to maintaining normal function of ne...
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Open AccessKnowledge Graph-Aware Deep Interest Extraction Network on Sequential Recommendation
Sequential recommendation is the mainstream approach in the field of click-through-rate (CTR) prediction for modeling users’ behavior. This behavior implies the change of the user’s interest, and the goal of s...