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Frontiers in Signal Processing
Scopus
ISSN 2673-8198 · Frontiers Media S.A. · 203 artikel di indeks
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Artikel Jurnal
Convergence analysis of hyperparameter-free MCC-based channel estimation for mmWave MIMO systems
Accurate channel-estimation algorithms are critical for enhancing the throughput of wireless communication systems, including millimetre wave (mmWave) multiple-input multiple-output (MIMO) systems, where precise channel knowledge enables reliable signal detection and beamforming. In practical…
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Artikel Jurnal
Detection of inter-turn short circuits in induction motors using orthogonal matching pursuit and dictionary learning
Fault detection in induction motors is critical due to their extensive use in industrial applications. Among the various types of faults, stator faults are the most frequent and complex, making early detection particularly challenging. In this paper, a novel methodology for detecting inter-turn…
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Research on heart rate estimation algorithm based on dynamic PPG
Heart rate is one of the most vital physiological parameters and is clinically widely used to assess human health status. In recent years, wearable devices based on photoplethysmography (PPG) have been extensively applied in real-time monitoring. However, PPG signals are susceptible to interference…
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A graph generation pipeline for critical infrastructures based on heuristics, images and depth data
Virtual representations of physical critical infrastructures, such as water or energy plants, are used for simulations and digital twins to ensure resilience and continuity of their services. These models usually require 3D point clouds from laser scanners that are expensive to acquire and require…
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Artikel Jurnal
Equation-level parameterized fusion reformulation for multimodal epileptic seizure detection using interaction control and data-quality screening
Epileptic seizure detection remains challenging due to noise, inter-subject variability, and the poor generalization ability of unimodal learning models. To address these limitations, this study proposes an equation-level multimodal fusion reformulation for epileptic seizure detection that…
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Artikel Jurnal
Residual life prediction of progressive failure bearings based on NGO-AVMD hybrid domain features
Accurate bearing Remaining Useful Life (RUL) prediction is vital for equipment availability, cost reduction, and safety. Existing data-driven methods often yield insufficient accuracy due to single-scale feature extraction and poor differentiation of failure modes. This paper proposes a…
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Airborne IMT users in precision agriculture: Monte-Carlo analysis of UAV interference in 694–2690 bands
The integration of unmanned aerial vehicles (UAVs) into precision agriculture, as envisioned in the agricultural systems, promises significant gains in crop monitoring, yield forecasting, and targeted agro-technical interventions. However, the use of IMT frequency bands for real-time UAV…
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Artikel Jurnal
Alzheimer’s detection using discrete wavelet transform based image fusion and vision information transformer
Alzheimer’s disease (AD) is the most prevalent form of dementia and a major cause of mortality among older adults. Magnetic resonance imaging (MRI) and positron emission tomography (PET) are commonly used for AD diagnosis. Despite extensive research, the accuracy of automated detection methods…
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Singular spectrum analysis of near-infrared spectroscopy signal classification for mental arithmetic and rest state
The brain–computer interface (BCI) is the connection between the human brain and computers, creating a bridge that mimics the human brain. The premise behind near-infrared spectroscopy (NIRS) is that increased oxygen consumption in the brain leads to increased blood flow due to nerve connections…
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Artikel Jurnal
IndoorCART: a spatially-aware transformer framework for Wi-Fi fingerprinting indoor localization
Accurate indoor localization remains difficult in GPS-denied environments because Wi-Fi received signal strength indicator (RSSI) fingerprints are sparse, noisy, device-dependent, and strongly affected by multipath propagation, non-line-of-sight conditions, and environmental dynamics. To address…
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Artikel Jurnal
An explainable AI-driven hybrid SE-transformer architecture for robust knee osteoporosis classification from X-ray data
BackgroundEarly and accurate classification of knee osteoporosis from radiographic images is crucial for timely diagnosis and treatment, yet existing deep learning models often lack both contextual understanding and interpretability.ObjectivesTo develop an explainable hybrid deep learning framework…
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Artikel Jurnal
SwinPyramidNet: a deep learning network for pear leaf disease classification using hybrid convolutional feature pyramids and swin transformer
IntroductionPear is rich in dietary fiber, vitamins, and minerals, but its cultivation has been affected by the adverse effects of climate change. Leaf health serves as an early indicator of potential fruit damage, making timely disease detection essential to prevent substantial economic losses…
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Energy-aware bitrate ladder for VVC streaming with client-side super-resolution
Modern adaptive video streaming must jointly optimize perceptual quality, bitrate efficiency, latency, and energy consumption across heterogeneous client devices. However, existing bitrate-ladder design approaches, whether fixed, per-title, or machine-learned, typically assume that decoded video is…
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Detection of bacterial and viral pneumonia in pediatric chest radiographs using fusion of mediastinum and lung imaging biomarkers
IntroductionDiagnosis of pneumonia in pediatric patients remains challenging due to the similarity of manifestations across different pneumonia types. Evaluation of variations in two clinically significant regions, the lung and the mediastinum, on chest radiographs could assist in accurate disease…
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Artikel Jurnal
Modeling the post-extrasystolic potentiation to determine heart failure
IntroductionPremature ventricular contractions (PVC) occur naturally in the human heart and lead to a well-studied increase in cardiac contractility, referred to as post-extrasystolic potentiation (PESP), which behaves independently of many otherwise confounding factors. It is well-known that the…
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PDSA-DBUNet: dual-branch U-Net for abdominal medical image segmentation driven by polynomial dynamic sparse attention
Abdominal medical image segmentation is essential for computer-aided diagnosis, lesion localization, quantitative organ analysis, and treatment planning. However, abdominal computed tomography (CT) images often contain large anatomical variations, complex tissue structures, low contrast, blurred…
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Artikel Jurnal
AdaTent++: reliability-guided hybrid test-time adaptation for traffic sign detection under distribution shift
Test-time adaptation (TTA) can improve detector robustness under distribution shift, but indiscriminate online updating may amplify errors from unreliable frames. We present AdaTent++, a reliability-guided hybrid TTA framework for traffic sign detection. For each unlabeled frame, the framework…
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Computationally efficient hybrid multi-domain transform fusion for secure image steganography using rate–distortion optimization and Toom–Cook acceleration
In the era of extensive developmental growth, multimedia communication systems demand protective and indiscernible information-hiding techniques that can maintain a balance between robustness, capacity, and computational efficacy. The research gap analysis highlights the necessity for a…