DEEP-LEARNING-BASED 3D RECONSTRUCTION: A REVIEW AND APPLICATIONS

Deep-Learning-Based 3D Reconstruction: A Review and Applications

In recent years, deep learning models have been widely used in 3D reconstruction fields and have made remarkable progress.How to stimulate deep academic interest to effectively manage the explosive augmentation of 3D models has been a research hotspot.This work shows mainstream 3D model retrieval algorithm programs based on deep learning currently

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Meeting report: the ALPHA project: a stakeholder meeting on lupus clinical trial outcome measures and the patient perspective

Drug development in lupus has improved over the past 10 years but still lags Deodorant behind that of other rheumatic disease areas.Assessment of prospective lupus therapies in clinical trials has proved challenging for reasons that are multifactorial including the heterogeneity of the disease, study design limitations and a lack of validated bioma

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Adversarial Inference Control in Cyber-Physical Systems: A Bayesian Approach With Application to Smart Meters

With the emergence of cyber-physical systems (CPSs) in utility systems like electricity, water, and gas networks, data collection has become more prevalent.While data collection in these systems has numerous advantages, it also raises concerns about privacy as it can potentially reveal sensitive information about users.To address this issue, we pro

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A DNA-Methylation-Driven Genes Based Prognostic Signature Reveals Immune Microenvironment in Pancreatic Cancer

Pancreatic cancer (PACA), which is characterized by an immunosuppressive nature, remains one of the deadliest malignancies worldwide.Aberrant DNA methylation (DNAm) reportedly influences tumor immune microenvironment.Here, we evaluated the role of DNA methylation driven genes (MDGs) in PACA through integrative analyses of epigenomic, transcriptomic

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