Masked Autoencoder Made Neural Network
![[논문 리뷰] Masked Autoencoder with Swin Transformer Network for Mitigating ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/masked-autoencoder-with-swin-transformer-network-for-mitigating-electrode-shift-in-hd-emg-based-gesture-recognition-1.png)
![An illustration of Masked Autoencoder Density Estimator (MADE) [99]. A ...](https://www.researchgate.net/publication/348906093/figure/fig28/AS:985910350991361@1612070753584/An-illustration-of-Masked-Autoencoder-Density-Estimator-MADE-99-A-set-of-connections.png)
![[논문 리뷰] Masked Autoencoder Self Pre-Training for Defect Detection in ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/masked-autoencoder-self-pre-training-for-defect-detection-in-microelectronics-1.png)
![Neural Network Architecture: all you need to know as an MLE [2023 edition]](https://a.storyblok.com/f/139616/1200x800/408bee3316/autoencoder-ae.webp)
%20has%20emerged%20as%20a%20key%20driver%20of%20precision%20agriculture%2C%20facilitating%20enhanced%20crop%20productivity%2C%20optimized%20resource%20use%2C%20farm%20sustainability%2C%20and%20informed%20decision-making.%20Also%2C%20the%20expansion%20of%20genome%20sequencing%20technology%20has%20greatly%20increased%20crop%20genomic%20resources%2C%20deepening%20our%20understanding%20of%20genetic%20variation%20and%20enhancing%20desirable%20crop%20traits%20to%20optimize%20performance%20in%20various%20environments.%20There%20is%20increasing%20interest%20in%20using%20machine%20learning%20(ML)%20and%20deep%20learning%20(DL)%20algorithms%20for%20genotype-to-phenotype%20prediction%20due%20to%20their%20excellence%20in%20capturing%20complex%20interactions%20within%20large%2C%20high-dimensional%20datasets.%20In%20this%20work%2C%20we%20propose%20a%20new%20LSTM%20autoencoder-based%20model%20for%20barley%20genotype-to-phenotype%20prediction%2C%20specifically%20for%20flowering%20time%20and%20grain%20yield%20estimation%2C%20which%20could%20potentially%20help%20optimize%20yields%20and%20management%20practices.%20Our%20model%20outperformed%20the%20other%20baseline%20methods%2C%20demonstrating%20its%20potential%20in%20handling%20complex%20high-dimensional%20agricultural%20datasets%20and%20enhancing%20crop%20phenotype%20prediction%20performance.)
![[논문 리뷰] LSTM Autoencoder-based Deep Neural Networks for Barley Genotype ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/lstm-autoencoder-based-deep-neural-networks-for-barley-genotype-to-phenotype-prediction-4.png)
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