首页|Findings from Department of Electrical Engineering Provide New Insights into Com putational Intelligence [(Mle2a2u)-net: Image Super-resolutio n Via Multi-level Edge Embedding and Aggregated Attentive Upsampler Network]
Findings from Department of Electrical Engineering Provide New Insights into Com putational Intelligence [(Mle2a2u)-net: Image Super-resolutio n Via Multi-level Edge Embedding and Aggregated Attentive Upsampler Network]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Computational Intelligence have beenpublished. According to news reportin g originating in Punjab, India, by NewsRx journalists, researchstated, “Given a degraded low-resolution input image, super-resolution (SR) aims at restoring th e losttextures and structures and generating high-resolution image content. Sig nificant advances in imagesuper-resolution have been made lately, dominated by convolutional neural networks (CNNs).”
PunjabIndiaAsiaComputational Intel ligenceMachine LearningDepartment of Electrical Engineering
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