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A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks
Published 2025-01-01“…At the same time, the risk of severe undernutrition, including conditions of being underweight, stunted, and wasted (USW), increased from 1.3% to 9.4%. Conclusions The LSTM-FC model outperforms baseline methods in classifying and predicting Ethiopian children's nutritional statuses. …”
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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection
Published 2024-12-01Get full text
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Information Security Risk Framework for Digital Transformation Technologies
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Reputation-Based Leader Selection Consensus Algorithm with Rewards for Blockchain Technology
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SaliencyMix+: Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation
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What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction
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A New Approach to Identifying Red Supergiant Stars in Metal-poor Galaxies: A Case Study of NGC 6822
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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms
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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches
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Discovery and Detailed Study of the M31 Classical Nova AT 2023tkw: Evidence for Internal Shocks
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MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia
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