Description
BCI MI framework to classifiy brain signals using a multimodal decission making phase, with an addtional differentiation of the signal.
Papers Using This Method
Joint BS Deployment and Power Optimization for Minimum EMF Exposure with RL in Real-World Based Urban Scenario2025-04-07Comparative analysis of Realistic EMF Exposure Estimation from Low Density Sensor Network by Finite & Infinite Neural Networks2025-04-07EMF: Event Meta Formers for Event-based Real-time Traffic Object Detection2025-04-05Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study2025-03-06EMF-Efficient MU-MIMO Networks: Harnessing Aerial RIS Technology2024-12-08EMF-Aware Waveform for Dual-functional Radar Communication Systems2024-09-24GLIP: Electromagnetic Field Exposure Map Completion by Deep Generative Networks2024-05-06Electric Field Evaluation of Reconfigurable Intelligent Surface in Wireless Networks2024-02-20EMF Exposure Mitigation in RIS-Assisted Multi-Beam Communications2023-05-09Joint Uplink and Downlink EMF Exposure: Performance Analysis and Design Insights2023-02-09Blue Communications for Edge Computing: the Reconfigurable Intelligent Surfaces Opportunity2022-11-10Creating and Operating Areas With Reduced Electromagnetic Field Exposure Thanks to Reconfigurable Intelligent Surfaces2022-06-14Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints2022-04-27LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image2021-10-28EMF-Aware Cellular Networks in RIS-Assisted Environments2021-10-19Artificial Neural Networks Based Analysis of BLDC Motor Speed Control2021-08-27Green Tethered UAVs for EMF-Aware Cellular Networks2021-05-29Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions2021-01-18