Results 201 to 210 of about 12,656 (256)

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
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, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Embracing Imperfect Tools to Decode AKI in Decompensated Cirrhosis. [PDF]

Dig Dis Sci
Cullaro G, Allegretti AS, Patidar KR, Verna EC, Lai JC.   +4 more
europepmc   +1 more source

The medial prefrontal cortex as an integrative hub in chronic pain: network mechanisms and the enabling role of artificial intelligence. [PDF]

Biopsychosoc Med
Cascella M, Montedoro M, Vittori A.
europepmc   +1 more source

A more complete picture: capturing single nucleotide variant diversity in extended-spectrum beta-lactamase producing <i>Escherichia coli</i> using post-enrichment metagenomics. [PDF]

Microb Genom
Gallichan S, Mäklin T, Picton-Barlow E, McKeown C, Forrest S, Corander J, Moore M, Feasey NA, Heinz E, Graf FE, Lewis JM.   +10 more
europepmc   +1 more source

Editorial: Expanding horizons in stress research-innovative paradigms and new directions in 2025. [PDF]

Neurobiol Stress
Schmidt MV, Reagan L.
europepmc   +1 more source

Joint Iterative Decoding Design of Cooperative Downlink SCMA Systems. [PDF]

Entropy (Basel)
Cheng H, Zhang M, Su R.
europepmc   +1 more source

Causal association between iron status and heart failure: A 2-sample bidirectional Mendelian randomization study. [PDF]

Medicine (Baltimore)
Hu Y, He T, Liu J, Wang W.
europepmc   +1 more source

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Decode‐and‐forward with partial relay selection

International Journal of Communication Systems, 2010
AbstractExact expressions for outage probability and symbol error rate are presented for a decode‐and‐forward cooperative network with partial relay selection. An independent but not identically distributed Nakagami‐m fading environment is considered. Numerical and simulated results show the validity of the analytical results.
exaly   +2 more sources

Distributed Decode and Forward Beamforming

37th Annual IEEE Conference on Local Computer Networks, 2012
Distributed transmit beamforming is a wireless communication technique in which multiple independent antennas transmit a common message while controlling their transmitted carrier phases to constructively interfere the message at a destination. Depending on the transmission goals and choice of network parameters, certain noteworthy benefits arise from ...
Chris Walsh, Douglas Hakkarinen, Tracy Camp   +2 more
openaire   +1 more source

Dynamic Decode and Forward with Network Coding

2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012
This paper is divided into two parts. In the first part, we analyze outage probability of dynamic decode and forward (DDF) with network coding (NC) and compare outage probability with using NC and without using NC. In the second part, we use MATLAB programming language to simulate our system model.
Wei-Cheng Liu, Yu-Neng Chen
openaire   +1 more source