Factors associated with anemia among reproductive age women in Nigeria; evidenced by the Nigeria malaria indicators survey: spatial and multilevel model analysis. [PDF]
Contracept Reprod MedMankelkl G, Kinfe B.
europepmc +1 more source
Dispositional mindfulness and mental health in Chinese emerging adults: A multilevel model with emotion dysregulation as a mediator. [PDF]
PLoS One, 2020 Cheung RYM, Ke Z, Ng MCY.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen +4 more
wiley +1 more source
A Multilevel Model of Alcohol Outlet Density, Individual Characteristics and Alcohol-Related Injury in Argentinean Young Adults. [PDF]
Can J Addict, 2020 Conde K +3 more
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Hierarchical Logistic Regression Model for Multilevel Analysis: An Application on Use of Contraceptives Among Women in Reproductive Age in Kenya [PDF]
, 2018 Linda Vugutsa Luvai
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Advanced Intelligent Systems, EarlyView.Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang +4 more
wiley +1 more source
Knowledge and attitude to HIV pre exposure prophylaxis among women in five sub-Saharan African countries: a multilevel model analysis of population-based survey 2021-2022. [PDF]
BMC Public HealthTerefe B +3 more
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Multilevel model for airborne transmission of foot-and-mouth disease applied to Swedish livestock. [PDF]
PLoS One, 2020 Björnham O, Sigg R, Burman J.
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Advanced Intelligent Systems, EarlyView.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
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Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.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