Results 241 to 250 of about 1,240,549 (346)
Combining Neural Architecture Search and Weight Reshaping for Optimized Embedded Classifiers in Multisensory Glove. [PDF]
Al Youssef H +4 more
europepmc +1 more source
An Edge AI Approach for Low-Power, Real-Time Atrial Fibrillation Detection on Wearable Devices Based on Heartbeat Intervals. [PDF]
Cinotti E +7 more
europepmc +1 more source
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch +4 more
wiley +1 more source
Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning
ABSTRACT Federated learning is a distributed framework that trains a centralised model using data from multiple clients without transferring that data to a central server. Despite rapid progress, federated learning still faces several unsolved challenges. Specifically, communication costs and system heterogeneity, such as nonidentical data distribution,
Jamshid Tursunboev +4 more
wiley +1 more source
Achieving high precision in analog in-memory computing systems. [PDF]
Mannocci P +3 more
europepmc +1 more source
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen +5 more
wiley +1 more source
Efficient and robust temporal processing with neural oscillations modulated spiking neural networks. [PDF]
Yan Y +7 more
europepmc +1 more source
Efficient Real-Time Isotope Identification on SoC FPGA. [PDF]
Guerrero-Morejón K +5 more
europepmc +1 more source
Small Object Detection Method for Bioimages Based on Improved YOLOv8n Model
This study proposes a small object detection method for bioimages based on an improved YOLOv8n model. Experimental results demonstrate that the proposed approach effectively enhances detection precision, recall, and mAP50, offering a novel solution for the technical challenges in biological microscopy research.
Xiaoyu Li +7 more
wiley +1 more source

