Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T18:32:48.804229Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2605.02743.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T18:32:48.804229Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
70 of 70 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 777bca53-4fbc-45d6-a26a-3c6c8bad7aec · outbound
Triple Spectral Fusion for Sensor-based Human Activity Recognition Wearable full-body motion tracking of activities of daily living predicts disease trajectory in duchenne muscular dystrophy
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Xsleepnet: Multi-view sequential model for automatic sleep staging
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Layout-agnostic human activity recognition in smart homes through textual descriptions of sensor triggers (tdost)
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Past, present, and future of sensor-based human activity recog- nition using wearables: A surveying tutorial on a still challenging task
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Decomposing and fusing intra- and inter-sensor spatio-temporal signal for multi-sensor wearable human activity recognition
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Deep convolutional neural networks on multi-channel time series for human activity recognition
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Sensing fine-grained hand activity with smartwatches
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recog- nition
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Deepsense: A unified deep learning framework for time-series mobile sensing data processing
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Attnsense: Multi-level attention mechanism for multimodal human activity recognition
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Globalfusion: A global attentional deep learning framework for multisensor information fusion
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Attend and discriminate: Beyond the state-of-the-art for human activity recognition using wearable sensors
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Towards a dynamic inter- sensor correlations learning framework for multi-sensor-based wearable human activity recognition
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Two- stream convolution augmented Transformer for human activity recognition
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Triple Spectral Fusion for Sensor-based Human Activity Recognition IF- ConvTransformer: A framework for human activity recognition using IMU fusion and ConvTransformer
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Nonlinear complemen- tary filters on the special orthogonal group
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physi- cal activity
Reference 24
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Detecting unseen falls from wearable devices using channel-wise ensemble of autoencoders
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Gesture recognition with adaptive-weight- based residual multiheadcrossattention fusion based on multi- level feature information
Reference 29
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Human activity recognition using wearable sensors by deep convolutional neural networks
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Self-attention net- works for human activity recognition using wearable devices
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Triple Spectral Fusion for Sensor-based Human Activity Recognition A survey on heterogeneous graph embedding: methods, techniques, applications and sources
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Learning compact features for human activity recognition via probabilistic first-take-all
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Multi-scale signed recurrence plot based time series classification using inception architectural networks
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Comparative study on classifying human activities with miniature inertial and magnetic sensors
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Triple Spectral Fusion for Sensor-based Human Activity Recognition A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Self-supervised contrastive representation learning for semi-supervised time-series classification
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Multi-scale context-aware networks based on fragment association for human activity recognition
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Triple Spectral Fusion for Sensor-based Human Activity Recognition An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
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Triple Spectral Fusion for Sensor-based Human Activity Recognition A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Efficient dense labelling of human activity sequences from wearables using fully convolutional networks
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Reference 63
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Triple Spectral Fusion for Sensor-based Human Activity Recognition On-body localization of wear- able devices: An investigation of position-aware activity recogni- tion
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Reference 66
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
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Triple Spectral Fusion for Sensor-based Human Activity Recognition Adam: A Method for Stochastic Optimization
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Reference 70
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No inbound Pith citation observations are available.