Results 91 to 100 of about 109,538 (307)
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source
A Hybrid Power-Rate Management Strategy in Distributed Congestion Control for 5G-NR-V2X Sidelink Communications. [PDF]
Tian J, An S, Islam A, Chang K.
europepmc +1 more source
A Large Family of Multi-path Dual Congestion Control Algorithms [PDF]
Ying Liu +4 more
openalex +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Feedback-Based Control Loop Congestion Control Algorithm for Wireless Networks
Wi-Fi plays a crucial role in connecting private professional networks by providing varying data rates based on channel quality. Despite advancements in Wi-Fi protocols, there is still a problem of throughput degradation for higher data rate devices when
Ramyashree Venkatesh Bhat +3 more
doaj +1 more source
PBQ-Enhanced QUIC: QUIC with Deep Reinforcement Learning Congestion Control Mechanism. [PDF]
Zhang Z +5 more
europepmc +1 more source
Traffic and Energy Aware Optimization for Congestion Control in Next Generation Wireless Sensor Networks [PDF]
Saneh Lata Yadav +5 more
openalex +1 more source
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan +3 more
wiley +1 more source
Prioritization-Driven Congestion Control in Networks for the Internet of Medical Things: A Cross-Layer Proposal. [PDF]
Buenrostro-Mariscal R +4 more
europepmc +1 more source
Study on the Traffic Congestion Control Based on Big Data Rule Collecting [PDF]
Bo Gao
openalex +1 more source

