Measurement-Based Ultra-Massive MIMO Statistical Channel Characterization and System Performance Evaluation for UMi Environments at 15 GHz FR3 Spectrum

ECG-biometrics-bench: A Unified Framework for Reproducible Benchmarking of ECG Biometrics

Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning

Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation

Federated Learning with Hypergradient-based Online Update of Aggregation Weights

Soft Graph Diffusion Transformer for MIMO Detection

SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework

Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies

Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods

Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition

Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation

Adaptive Transform Coding for Semantic Compression

EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

A Deep Learning Model for Battery State Prediction towards Intelligent Energy Management

Transfer Learning for Tonal Noise Prediction in VRF Units Using Thermodynamic and Vibration Signals

EVT-Based Generative AI for Tail-Aware Channel Estimation

Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing

BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal

Phase-Separated Complex Hilbert PCA on Markerless 3D Pose Estimation Data: A Global Phase Network and Its Extension to a Continuous Field on the Body Surface

Selective Correlation Based Knowledge Distillation for Ground Reaction Force Estimation

Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring

Speech Enhancement Based on Drifting Models

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection

An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis

NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals

An Algorithm for On-Sensor Agnostic Detection of Changes in Human Activity for Ultra-Low-Power Applications

Learning Coverage- and Power-Optimal Transmitter Placement from Building Maps: A Comparative Study of Direct and Indirect Neural Approaches

Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity

Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems

Low-Rank Adaptation Redux for Large Models

Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach

MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction

Robust Cross-Domain WiFi Fall Detection via Physics-Driven Attention-Enhanced Transformers

FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels

How Well Can We Decode Vowels from Auditory EEG -- A Rigorous Cross-Subject Benchmark with Honest Assessment

FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning

SAGE: Training-Free Semantic Evidence Composition for Edge-Cloud Inference under Hard Uplink Budgets

A Hybrid Windkessel-Neural Approach for Improved Noninvasive Blood Pressure Monitoring

Foundation Model Guided Dual-Branch Co-Adaptation for Source-Free EEG Decoding

One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment

Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks

Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals

AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G

What Physics do Data-Driven MoCap-to-Radar Models Learn?

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning

Planar Gaussian Splatting with Bilinear Spatial Transformer for Wireless Radiance Field Reconstruction

ECG-Lens: Benchmarking ML & DL Models on PTB-XL Dataset

AI-Enabled Covert Channel Detection in RF Receiver Architectures

Temporal Cross-Modal Knowledge-Distillation-Based Transfer-Learning for Gas Turbine Vibration Fault Detection

Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations

A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff

Aerial Multi-Functional RIS in Fluid Antennas-Aided Full-Duplex Networks: A Self-Optimized Hybrid Deep Reinforcement Learning Approach

Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain

The Existential Theory of Research: Why Discovery Is Hard

Adaptive Unknown Fault Detection and Few-Shot Continual Learning for Condition Monitoring in Ultrasonic Metal Welding

BioTrain: Sub-MB, Sub-50mW On-Device Fine-Tuning for Edge-AI on Biosignals

Applied AI-Enhanced RF Interference Rejection

From Equations to Algorithms and Data: Transforming Microwave Engineering and Education with Machine Learning

RECIPER: A Dual-View Retrieval Pipeline for Procedure-Oriented Materials Question Answering

Efficient Transceiver Design for Aerial Image Transmission and Large-scale Scene Reconstruction

A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems

Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet

Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data

Learning to Focus: CSI-Free Hierarchical MARL for Reconfigurable Reflectors

A methodology to rank importance of frequencies and channels in electromyography data with Decision Tree classifiers

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances

Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts

A General Framework for Generative Self-supervised Learning in Non-invasive Estimation of Physiological Parameters Using Photoplethysmography

NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals

Diffusion-Based Generative Priors for Efficient Beam Alignment in Directional Networks

WearBCI Dataset: Understanding and Benchmarking Real-World Wearable Brain-Computer Interfaces Signals

An Edge-Cloud Collaborative Architecture for Proactive Elderly Care: Real-Time Risk Assessment and Three-Level Emergency Response

A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic Systems

Human Presence Detection via Wi-Fi Range-Filtered Doppler Spectrum on Commodity Laptops

LiveSense: A Real-Time Wi-Fi Sensing Platform for Range-Doppler on COTS Laptop

WST-X Series: Wavelet Scattering Transform for Interpretable Speech Deepfake Detection

Real-Time Streamable Generative Speech Restoration with Flow Matching

Concurrence: A dependence criterion for time series, applied to biological data

PULSE: Privileged Knowledge Transfer from Rich to Deployable Sensors for Embodied Multi-Sensory Learning

Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData

Feedback Lunch: Learned Feedback Codes for Secure Communications

StrikeWatch: Wrist-worn Gait Recognition with Compact Time-series Models on Low-power FPGAs

Distributed Associative Memory via Online Convex Optimization

Networks of Causal Abstractions: A Sheaf-theoretic Framework

Gaussian Process Regression of Steering Vectors With Physics-Aware Deep Composite Kernels for Augmented Listening

Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias

HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention

Biased Federated Learning under Wireless Heterogeneity

Drivetrain simulation using variational autoencoders

Distance-Aware Error for Spline Networks: A Bottom-Up Approach to Uncertainty

Quantifying Climate Change Impacts on Renewable Energy Generation: A Super-Resolution Recurrent Diffusion Model

Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting

Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging

Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation

Discrete Cosine Transform Based Decorrelated Attention for Vision Transformers

Adaptive Spatio-temporal Estimation on the Graph Edges via Line Graph Transformation

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