Search alternatives:
larger decrease » marked decrease (Expand Search)
large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
learning deep » learning data (Expand Search), learning derived (Expand Search)
deep decrease » teer decrease (Expand Search), step decrease (Expand Search), mean decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
learning deep » learning data (Expand Search), learning derived (Expand Search)
deep decrease » teer decrease (Expand Search), step decrease (Expand Search), mean decrease (Expand Search)
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The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
Published 2025“…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …”
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Deep reinforcement learning process.
Published 2025“…This study introduces an improved adaptive signal control approach using an enhanced dual-layer deep Q-network (EXP-DDQN), specifically tailored for intelligent connected environments. …”
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Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves.
Published 2024Subjects: -
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Biases in larger populations.
Published 2025“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
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Dynamic Analysis of Membrane Emulsification: An In Situ Observation and Calculation with Deep Learning Model
Published 2025“…In this study, a novel in situ observation device was developed, which couples a visible membrane module with a high-speed microscope system. Additionally, a deep learning model was embedded to realize the first visualization of the dynamic droplet formation process under demanding conditions. …”
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Geographical distribution of large cities and small cities.
Published 2024“…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”
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Architecture of deep neural networks.
Published 2025“…This study proposes an IDS model for the IoMT that integrates advanced feature selection techniques and deep learning to enhance detection performance. The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”
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