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Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation
Graph collaborative filtering methods have shown great performance improvements compared with deep neural network-based models. However, these...
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Geometric algebra based least-mean absolute third and least-mean mixed third-fourth adaptive filtering algorithms
With regards to the problem of multidimensional signal processing in the field of adaptive filtering, geometric algebra based higher-order statistics...
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Advancing autism prediction through visual-based AI approaches: integrating advanced eye movement analysis and shape recognition with Kalman filtering
In the recent past, the global prevalence of autism spectrum disorder (ASD) has witnessed a remarkable surge, underscoring its significance as a...
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A quantized minimum kernel risk hyperbolic secant adaptive filtering algorithm
The proposed algorithm in this paper is the quantized minimum kernel risk hyperbolic secant adaptive filtering algorithm, which offers a simplified...
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Monitoring Method of Permanent Magnet Synchronous Motor Temperature Variation Signal Based on Model Prediction
In order to improve the monitoring accuracy and quality of permanent magnet synchronous motor (PMSM) temperature variation signal, and achieve the...
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A novel kernel filtering algorithm based on the generalized half-quadratic criterion
In this work we combine the kernel method and the generalized half-quadratic criterion, and a kernel adaptive filtering algorithm is proposed based...
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Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control
This paper discusses a strategy for estimating Hammerstein nonlinear systems in the presence of measurement noises for industrial control by applying...
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Non-pairwise Collaborative Filtering
On the users’ interaction graph, neighbors have been widely explored in the embedding function of collaborative filtering to address the sparsity...
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EcoLight+: a novel multi-modal data fusion for enhanced eco-friendly traffic signal control driven by urban traffic noise prediction
Urban traffic congestion is of utmost importance for modern societies due to population and economic growth. Thus, it contributes to environmental...
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Prediction Method of Crack Depth of Concrete Building Components Based on Ultrasonic Signal
Cracks in concrete components have a serious impact on the safety of building structures. On the one hand, with the increase of service life, cracks...
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Linear-fitting-based recursive filtering for nonlinear systems under encoding-decoding mechanism
This paper deals with a recursive filtering problem for a class of discrete time-varying nonlinear networked systems with the encoding-decoding...
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A novel approach to geometric algebra-based variable step-size LMS adaptive filtering algorithm
The study of signal processing has recently devoted significantly more attention to adaptive filtering techniques. By addressing the shortcoming of...
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Epileptic Seizure Prediction Using Bandpass Filtering and Convolutional Neural Network
The paper proposes a generalized approach for epileptic seizure prediction rather than a patient-specific approach. The early diagnosis of seizures...
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A Collaborative Filtering Recommendation Algorithm Based on Community Detection and Graph Neural Network
Recommendation system is an important module of many online systems. As one of the mainstream methods in the current recommendation system, the...
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A design of machine learning-based adaptive signal processing strategy for ECG signal analysis
The human heart is categorized into four sections such as left and right atrium and left and right ventricle. The development of medical trained...
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Residual Graph Convolution Collaborative Filtering with Asymmetric neighborhood aggregation
Due to the superior performance of graph convolutional networks (GCNs) in feature extraction and representation, researchers have introduced GCNs to...
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Iterative unsupervised deep bilateral texture filtering
Texture filtering attempts to retain salient structures and remove insignificant textures. In this paper, we propose a highly effective iterative...
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Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks
Social Media (SM) has become a popular medium for individuals to share their opinions on various topics, including politics, social issues, and daily...
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Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm
This paper presents a novel single feedback based kernel generalized maximum correntropy (SF-KGMC) algorithm by introducing a single delay into the...
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Adaptive Spatial Filtering-based Component Exploration model for SSVEP-based Brain-Computer Interface for target identification
Non-invasive Brain-Computer Interface (BCI) systems have gained a massive boost from the advancement and developments in signal processing...
