Research on geomagnetic indoor high-precision positioning algorithm based on generative model by Shuai MA, Ke PEI, Huayan QI, Hang LI, Wen CAO, Hongmei WANG, Hailiang XIONG, Shiyin LI

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Risks and countermeasures of artificial intelligence generated content technology in content security governance by Zhe QIAO

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Multimodal Image Translation Algorithm Based on Singular Squeeze-and-Excitation Network by Hangyao Tu, Zheng Wang, Yanwei Zhao

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Computationally secure steganography based on speech synthesis by Menghan LI, Kejiang CHEN, Weiming ZHANG, Nenghai YU

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Robustly detecting mpox and non-mpox using a deep learning framework based on image inpainting by Yujun Cao, Yubiao Yue, Xiaoming Ma, Di Liu, Rongkai Ni, Haihua Liang, Zhenzhang Li

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A Patch-Level Data Synthesis Pipeline Enhances Species-Level Crop and Weed Segmentation in Natural Agricultural Scenes by Tang Li, James Burridge, Pieter M. Blok, Wei Guo

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Generation of Rational Drug-like Molecular Structures Through a Multiple-Objective Reinforcement Learning Framework by Xiangying Zhang, Haotian Gao, Yifei Qi, Yan Li, Renxiao Wang

Subjects: “…molecular generative model…”
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Survey of generative adversarial network by Zhenglong WANG, Baowen ZHANG

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Conditional diffusion-generated super-resolution for myocardial perfusion MRI by Changyu Sun, Changyu Sun, Neha Goyal, Yu Wang, Darla L. Tharp, Senthil Kumar, Talissa A. Altes

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Frontal Face Generation Based on Attitude Point Guidance and Attention Mechanism Improvement by Jihui Zhao, Zhengyi Yuan, Junhu Zhang, Haitao Li, Hui Li

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Designing host-associated microbiomes using the consumer/resource model by Germán Plata, Karthik Srinivasan, Madan Krishnamurthy, Lukas Herron, Purushottam Dixit

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Individualized models of social judgments and context-dependent representations by Daniel N. Albohn, Stefan Uddenberg, Alexander Todorov

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Hackathon as a testing ground for creating digital tools in domestic Oriental studies by Kudakaev R.F., Mokretskiy A.Ch., Kostyrkin A.V.

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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

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An Effective Manifold Learning Approach to Parametrize Data for Generative Modeling of Biosignals by Lorenzo Manoni, Claudio Turchetti, Laura Falaschetti

Subjects: “…Biosignal generative modeling…”
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Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders by Miguel Monteagudo Honrubia, Francisco Javier Herraiz-Martínez, Javier Matanza Domingo

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AVP-GPT2: A Transformer-Powered Platform for De Novo Generation, Screening, and Explanation of Antiviral Peptides by Huajian Zhao, Gengshen Song

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An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection by Faleh Alshameri, Ran Xia

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