Wired features like quick handover, radio jamming and dynamic data rates cannot be truthfully presented inside the simulator bue we concentrate on all layers above the physical layer.
Lien, Kai-Wen, Reeve, JS
core
Concentric Rheostat Decoupled 3D Force‐Sensing Module for Smart Table Tennis Training
A 3D‐printed sensor array intrinsically decouples normal and shear forces through a unique concentric structural design. By integrating piezoresistive, sliding area‐varying capacitive, and concentric rheostat mechanisms, the 12‐sensor module achieves high‐resolution 3D force mapping without complex algorithms.
Zhe Liu +7 more
wiley +1 more source
Quantum-enhanced privacy aggregation for healthcare monitoring in wireless body area networks. [PDF]
Othman SB, Ali O.
europepmc +1 more source
Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki +8 more
wiley +1 more source
Integrating fixed and mobile coherent optical access networks for unified broadband services. [PDF]
Wu Q +10 more
europepmc +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
3D Urban Outdoor WiFi 7 Network Planning and Analysis Using Ray-Tracing and Machine Learning: Transformer-Based Surrogate Modeling for High-Resolution Digital Twin. [PDF]
Trînc EC +5 more
europepmc +1 more source
A Flexible Copper Electrode Array for High-Density Surface Electromyography. [PDF]
Li C, Lu C, Li J, Guo K.
europepmc +1 more source
Active reactance in electro‐thermal memristors emerges intrinsically from rapid thermal switching of device resistance, linking current‐controlled and voltage‐controlled negative differential resistance to neuronal spiking dynamics. Opposing temperature coefficients of resistance give rise to active inductive or capacitive responses, enabling tunable ...
Fatme Jardali +4 more
wiley +1 more source
The Deep Learning Evolution in Wireless Physical Layer Communications: Applications, Challenges, and Evolutionary Directions. [PDF]
Xu H, Liang Y, Xie R, Kong Y.
europepmc +1 more source

