Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts
arXiv 2604.24765•2834b45651b61e164e8366cab339a61982aca92db4d3ff14629b61123fdd8476
BCICONCERTODASEVTFPGAMKIDNOMAP300analog modelinganomaly detectionbrain-computer interfacedigital twindistributed acoustic sensingenergy efficiencyextreme value theoryfuzzy modelinggenerative AI for channel estimation (URLLC)interpretable modelsmixed-integer optimizationone-class SVMpinching-antenna systemsreadout electronicssea-state monitoringsubmarine power cableswave-tank experiments
Paper metadata
- arXiv ID
- 2604.24765
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 2834b45651b61e164e8366cab339a61982aca92db4d3ff14629b61123fdd8476
- Enrichment time
- 2026-04-29T08:51:41Z
- AI-assisted enrichment
- Yes
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