Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T09:45:02.556396Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.21654.
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 2026-08-01T09:45:02.556396Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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
34 of 34 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6dff20ff-0257-4f30-8207-5a8079d51ef3 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Applications of higher order statistics in electroencephalography signal processing: A comprehensive survey,
Reference 1
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Observation 316999fd-5521-412b-bd71-d745db4e4c1c · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Handbook of psychophysiology,
Reference 2
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Observation 5f7fe107-f096-46ae-b3bc-efd0975525a8 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Synaptic mechanisms of thiopental- induced alterations in synchronized cortical activity,
Reference 3
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Observation 3bc50096-2b7f-43f5-b8cf-b65e5b3fa99b · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation An overview of independent component analysis and its applications,
Reference 4
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Observation d26f9776-83ec-489b-a467-95860f408e5b · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Cnn brain label-maker: Computer vision based ica rejection eeg based system architecture,
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Observation 57f35877-6849-410a-9ba5-6969feba96e2 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Iclabel: An automated electroencephalographic independent component classifier, dataset, and website,
Reference 6
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Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Sample entropy enhanced wavelet-ica denoising technique for eye blink artifact removal from scalp eeg dataset,
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Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Tracking of eeg activity using topographic maps,
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Observation a53f9018-dd1c-4bc8-96ee-05c91b25cf31 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Reliability of resting-state electrophysiology in fragile x syndrome,
Reference 9
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Observation 5e3a05c5-268c-41bd-aab2-5494a8b5f7d0 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Accuracy of high-density eeg electrode position measurement using an optical scanner compared with the photogrammetry method,
Reference 10
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Observation 2593ebfe-87af-4496-9af9-f53455e74421 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Compressibility of high-density eeg signals in stroke patients,
Reference 11
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Observation a441697a-937b-4618-a5a5-adaecd20d8ef · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Utilizing deep learning towards multi-modal bio-sensing and vision-based affective computing,
Reference 12
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Observation 488dca00-119e-43a6-b054-c46e50776da3 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation A review on machine learning for eeg signal processing in bioengineering,
Reference 13
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Observation 32d689c1-d699-45c5-add7-b925816c013b · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Predicting age from brain eeg signals—a machine learning approach,
Reference 14
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Observation b5437081-da8a-4d30-9927-c674445202c6 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Deep neural architectures for mapping scalp to intracranial eeg,
Reference 15
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Observation d716931e-8d87-4dcd-a221-07feb46f9781 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Eeg signal analysis of patients with epilepsy disorder using machine learning techniques,
Reference 16
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Observation 2ec46842-78c1-4916-9db6-8d849215b61c · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Automated classification and removal of eeg artifacts with svm and wavelet-ica,
Reference 17
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Observation 512dd5d3-8ac9-4443-9689-dc320c672553 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Classification of eeg signals based on pattern recognition ap- proach,
Reference 18
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Observation ec0c7f67-3a22-4cdf-a5e0-04b31d074384 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Multimodal data analysis of epileptic eeg and rs-fmri via deep learning and edge computing,
Reference 19
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Observation e8c8f3e7-0143-4f17-8f4e-c5361dc65729 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Deep learning enabled auto- matic abnormal eeg identification,
Reference 20
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Observation 811f11d7-6403-48fd-8447-fda569cbd639 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation What are decision trees?,
Reference 21
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Observation f3d0d703-8172-4cd8-b1e8-989bfaa9d25e · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Non linear ica and logistic regression for classification of epilepsy from eeg signals,
Reference 22
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Observation 3b6921e3-0e03-4099-97d4-e80ad52dea2e · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Deep learning for hybrid eeg-fnirs brain–computer interface: application to motor imagery classification,
Reference 23
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Observation ec830355-c5b7-42bb-9448-04a619825024 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Classifying the perceptual interpretations of a bistable image using eeg and artificial neural networks,
Reference 24
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Observation ecb1740e-8e6f-4c5f-a761-d22d2fc98777 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation A cross-sectional evaluation of meditation experience on electroencephalography data by artificial neural network and support vector machine classifiers,
Reference 25
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Observation fc6aed2a-dbeb-45b2-912e-042fae04f7e9 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Epileptic seizure anticipation and localisation of epileptogenic region using eeg signals,
Reference 26
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Observation 9a6ff54b-5eb2-4c9f-b6ef-d6f976a360aa · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation A machine learning framework involving eeg-based functional connectivity to diagnose major depressive disorder (mdd),
Reference 27
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Observation ab660f49-465f-4172-9d29-722b470639da · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Unsupervised detection and removal of muscle artifacts from scalp eeg recordings using canonical correla- tion analysis, wavelets and random forests,
Reference 28
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Observation 3da4e4c4-e6b5-4560-b562-6817673a089a · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Eeg signal analysis for seizure detection using discrete wavelet transform and random forest,
Reference 29
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Observation 43f719ba-b768-44bf-a612-21c8a3e3fc9a · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Decoding index finger position from eeg using random forests,
Reference 30
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Observation ee58290e-652f-4b6e-8f8e-cd8732ea79fe · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Detecting dark spot eggs based on cnn googlenet model,
Reference 31
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Observation cce92076-39ca-4295-b2a2-759ae7596bdc · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Data augmentation for deep- learning-based electroencephalography,
Reference 32
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Observation 7c070661-0b98-4de6-9f6d-52ab17f6c80c · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Biased dropout and crossmap dropout: learning towards effective dropout regularization in convolutional neural network,
Reference 33
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Observation 534172db-e816-4f58-a956-3fc32c14a492 · outbound
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation Cole-cnn: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation,
Reference 34
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No inbound Pith citation observations are available.