Results 211 to 220 of about 20,715 (264)
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel +5 more
wiley +1 more source
Relay Selection for Covert Communication with an Active Warden. [PDF]
Ryu JY, Lee JH.
europepmc +1 more source
Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi +6 more
wiley +1 more source
ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces
Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang +12 more
wiley +1 more source
Covert Communications via Full-Duplex User Relaying. [PDF]
Ryu JY, Lee JH.
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
HE-BiDet: A Hardware Efficient Binary Neural Network Accelerator for Object Detection in SAR Images. [PDF]
Zhang D +5 more
europepmc +1 more source
Transcriptome sequencing was performed on tumor tissues from triptolide‐treated tumor‐bearing mice. The sequencing results were integrated with data from public databases for comprehensive analysis, and potential regulatory targets of triptolide were identified.
Zhiwen Cao +12 more
wiley +1 more source
Exploiting correlations across trials and behavioral sessions to improve neural decoding. [PDF]
Zhang Y +10 more
europepmc +1 more source

