The cerebral, extra-cerebral bodily, and socio-cultural dimensions of enculturated arithmetical cognition
Sign Up to like & getrecommendations! Published in 2019 at "Synthese"
DOI: 10.1007/s11229-019-02238-1
Abstract: Arithmetical cognition is the result of enculturation. On a personal level of analysis, enculturation is a process of structured cultural learning that leads to the acquisition of evolutionarily recent, socio-culturally shaped arithmetical practices. On a… read more here.
Keywords: arithmetical cognition; extra cerebral; enculturated arithmetical; cerebral extra ... See more keywords
Machine learning-driven electronic identifications of single pathogenic bacteria
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-72508-3
Abstract: A rapid method for screening pathogens can revolutionize health care by enabling infection control through medication before symptom. Here we report on label-free single-cell identifications of clinically-important pathogenic bacteria by using a polymer-integrated low thickness-to-diameter… read more here.
Keywords: machine learning; pathogenic bacteria; learning driven; driven electronic ... See more keywords
Confidence Aware Deep Learning Driven Wireless Resource Allocation in Shared Spectrum Bands
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3162829
Abstract: Deep learning (DL) driven proactive resource allocation (RA) is a promising approach for the efficient management of network resources. However, DL models typically have a limitation that they do not capture the uncertainty due to… read more here.
Keywords: learning driven; resource; deep learning; resource allocation ... See more keywords
Deep Learning-Driven Detection and Mapping of Rockfalls on Mars
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.2991588
Abstract: The analysis of rockfall distribution and magnitude is a useful tool to study the past and current endogenic and exogenic activity of Mars. At the same time, tracks left by rockfalls provide insights into the… read more here.
Keywords: detection mapping; deep learning; learning driven; driven detection ... See more keywords
Deep Learning Driven 3D Robust Beamforming for Secure Communication of UAV Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2021.3075996
Abstract: Beamforming is a promising technique to enhance the security of wireless transmission, while the optimal beamforming design with partial channel state informing (CSI) is challenging. This letter develops a three-dimensional (3D) robust beamforming method for… read more here.
Keywords: communication; driven robust; robust beamforming; deep learning ... See more keywords
Abstract 4234: Machine learning-driven label-free cell sorting for cell therapy
Sign Up to like & getrecommendations! Published in 2020 at "Cancer Research"
DOI: 10.1158/1538-7445.am2020-4234
Abstract: Ghost cytometry (GC) is a recently realized approach for machine learning-driven analysis of image information without image production and enabled high throughput cell sorting through its integration with a microfluidic sorting technology. When a supervised… read more here.
Keywords: machine learning; cell sorting; learning driven; label free ... See more keywords
Deep learning-driven wireless communication for edge-cloud computing: opportunities and challenges
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Cloud Computing"
DOI: 10.1186/s13677-020-00168-9
Abstract: Future wireless communications are becoming increasingly complex with different radio access technologies, transmission backhauls, and network slices, and they play an important role in the emerging edge computing paradigm, which aims to reduce the wireless… read more here.
Keywords: communication; driven wireless; cloud computing; deep learning ... See more keywords
Machine Learning–Driven Clinical Image Analysis to Identify Craniosynostosis: A Pilot Study of Telemedicine and Clinic Patients
Sign Up to like & getrecommendations! Published in 2022 at "Neurosurgery"
DOI: 10.1227/neu.0000000000001890
Abstract: BACKGROUND: The authors have developed pretrained machine learning (ML) models to evaluate neonatal head shape deformities using top-down and facial orthogonal photographs of the patient’s head. In previous preliminary analysis, this approach was tested with… read more here.
Keywords: learning driven; craniosynostosis; machine learning; analysis ... See more keywords
Development and validation of machine learning-driven prediction model for serious bacterial infection among febrile children in emergency departments
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0265500
Abstract: Serious bacterial infection (SBI) in children, such as bacterial meningitis or sepsis, is an important condition that can lead to fatal outcomes. Therefore, since it is very important to accurately diagnose SBI, SBI prediction tools… read more here.
Keywords: learning driven; febrile children; prediction; machine learning ... See more keywords
EEG-Based Mental Tasks Recognition via a Deep Learning-Driven Anomaly Detector
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12122984
Abstract: This paper introduces an unsupervised deep learning-driven scheme for mental tasks’ recognition using EEG signals. To this end, the Multichannel Wiener filter was first applied to EEG signals as an artifact removal algorithm to achieve… read more here.
Keywords: recognition; learning driven; deep learning; mental tasks ... See more keywords