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The retina is impacted by diabetic retinopathy, a disorder frequently observed in people diagnosed with diabetes mellitus for an extended period. This condition can ultimately lead to vision loss as a result of pathological retinal microvascular leakage. Early diagnosis of any optic disc abnormalities is crucial for ophthalmologists to treat their patients effectively. Segmentin...

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This paper proposes an AI–blockchain integrated trusted interaction mechanism for network security. The mechanism combines a deep-learning anomaly detector with a permissioned blockchain and smart contracts to provide real-time threat analysis, decentralized authentication and tamper-resistant trust management. The AI module is a two-branch neural network that processes network-...

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Efficient inspection of distribution networks is crucial for ensuring the stable operation of the power system. To address the limitations of existing methods in complex environments, this paper proposes an adaptive UAV inspection path planning strategy based on multi-agent deep reinforcement learning, specifically employing the Multi-Agent Actor-Attention-Critic (MAAC) algorith...

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Subgrade and pavement diseases caused by loess collapsibility seriously affect the safety and durability of road engineering. Precise prediction of the collapsibility coefficient plays a pivotal role in engineering prevention and control in loess regions. To address the issues where loess collapsibility is influenced by the coupling effect of multiple factors and traditional for...

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E-commerce platforms require accurate and personalized recommendation systems while ensuring user privacy and scalability. Traditional centralized recommendation models face challenges related to privacy risks, data heterogeneity, and limited personalization. To address these limitations, this study proposes a Painting Training-Based Optimization with Modified Federated Averagin...

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