Cover Image

Capacitive Touch Sensor Modeling With a Physics-informed Neural Network and Maxwell's Equations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mo, Ganyong, Narayanan, Krishna Kumar, Castells-Rufas, David, Carrabina, Jordi
Format:	Preprint
Published:	2024
Subjects:	Computational Physics Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Study on Downlink CSI compression: Are Neural Networks the Only Solution?
by: Praneeth, K. Sai, et al.
Published: (2025)

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA
by: Azmoodeh, Shayan K., et al.
Published: (2025)

Relay-Assisted Activation-Integrated SIM for Wireless Physical Neural Networks
by: Hua, Meng, et al.
Published: (2026)

Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface
by: Sharma, Anupam, et al.
Published: (2024)

Generalization of Graph Neural Networks is Robust to Model Mismatch
by: Wang, Zhiyang, et al.
Published: (2024)

Physics-Embedded Neural Networks for sEMG-based Continuous Motion Estimation
by: Heng, Wending, et al.
Published: (2025)

Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
by: Taraday, Mitchell Keren, et al.
Published: (2024)

QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
by: Behera, Bikash K., et al.
Published: (2025)

Transformers are Provably Optimal In-context Estimators for Wireless Communications
by: Kunde, Vishnu Teja, et al.
Published: (2023)

Disaggregated Deep Learning via In-Physics Computing at Radio Frequency
by: Gao, Zhihui, et al.
Published: (2025)

Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures
by: Guan, Peimeng, et al.
Published: (2024)

RAPID Quantum Detection and Demodulation of Covert Communications: Breaking the Noise Limit with Solid-State Spin Sensors
by: Taherpour, Amirhossein, et al.
Published: (2025)

DeepF-fNet: a physics-informed neural network for vibration isolation optimization
by: Tollardo, A., et al.
Published: (2024)

Binarized Simplicial Convolutional Neural Networks
by: Yan, Yi, et al.
Published: (2024)

Design of Cavity Backed Slotted Antenna using Machine Learning Regression Model
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations
by: Han, Kaiqiao, et al.
Published: (2024)

SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction
by: Saeizadeh, Ali, et al.
Published: (2024)

Interpretable Battery Aging without Extra Tests via Neural-Assisted Physics-based Modelling
by: Qiu, Yuan, et al.
Published: (2026)

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks
by: Chen, Lili, et al.
Published: (2025)

Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks
by: Gao, Zhan, et al.
Published: (2023)

In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory
by: Zecchin, Matteo, et al.
Published: (2025)

Hybrid Quantum Neural Network Advantage for Radar-Based Drone Detection and Classification in Low Signal-to-Noise Ratio
by: Malarvanan, Aiswariya Sweety
Published: (2024)

Optimizing Neural Network Scale for ECG Classification
by: Lee, Byeong Tak, et al.
Published: (2023)

Domain Adaptive Unfolded Graph Neural Networks
by: Zhang, Zepeng, et al.
Published: (2024)

Improved Image Classification with Manifold Neural Networks
by: Netto, Caio F. Deberaldini, et al.
Published: (2024)

Sensor Response-Time Reduction using Long-Short Term Memory Network Forecasting
by: Ward, Simon J., et al.
Published: (2024)

Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes
by: Li, Qing, et al.
Published: (2024)

PIKAN: Physics-Inspired Kolmogorov-Arnold Networks for Explainable UAV Channel Modelling
by: Tekbıyık, Kürşat, et al.
Published: (2025)

On the Application of Deep Learning for Precise Indoor Positioning in 6G
by: Kotturi, Sai Prasanth, et al.
Published: (2024)

Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
by: Nardi, Federico, et al.
Published: (2024)

Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
by: Zhang, Xiaochen, et al.
Published: (2021)

IPP-Net: A Generalizable Deep Neural Network Model for Indoor Pathloss Radio Map Prediction
by: Feng, Bin, et al.
Published: (2025)

Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2025)

Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets
by: Mellot, Apolline, et al.
Published: (2024)

Comparative analysis of Realistic EMF Exposure Estimation from Low Density Sensor Network by Finite & Infinite Neural Networks
by: Mallik, Mohammed, et al.
Published: (2025)

On Generalization Bounds for Deep Compound Gaussian Neural Networks
by: Lyons, Carter, et al.
Published: (2024)

Multi-Target Tracking with Transferable Convolutional Neural Networks
by: Owerko, Damian, et al.
Published: (2022)

Exploiting the Structure of Two Graphs with Graph Neural Networks
by: Tenorio, Victor M., et al.
Published: (2024)

Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization
by: Yan, Wenzhong, et al.
Published: (2023)

The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy Detection
by: Anghinoni, Luiz Antonio Nicolau, et al.
Published: (2025)