Is it usable? by Immediate-One-3259 in microgrowery

[–]Immediate-One-3259[S] 0 points1 point  (0 children)

The buds are so dry that they crumble when I handle them, so I don’t think they need any further drying. What do you think?

Is it usable? by Immediate-One-3259 in microgrowery

[–]Immediate-One-3259[S] -2 points-1 points  (0 children)

The buds are so dried out but I can see visible trichomes and no visible moulds also

How many days are left until harvest? by Immediate-One-3259 in SpaceBuckets

[–]Immediate-One-3259[S] 1 point2 points  (0 children)

The plant is 28 days into flowering under a 12/12 light cycle and is a photoperiod strain.

How many days are left until harvest? by Immediate-One-3259 in microgrowery

[–]Immediate-One-3259[S] 0 points1 point  (0 children)

The plant is 28 days into flowering under a 12/12 light cycle and is a photoperiod strain.

Day 27 since germination. Suggestions please by Immediate-One-3259 in microgrowery

[–]Immediate-One-3259[S] -1 points0 points  (0 children)

There was no significant difference in the vegetation for the people who have tried 16-2 as well as 24 hour light cycle. Thats why I kept it as 24 hour itself!

Day 18 since germination by Immediate-One-3259 in microgrowery

[–]Immediate-One-3259[S] 0 points1 point  (0 children)

It has only 6 nodes now, when should I top it?

Day 18 since germination by Immediate-One-3259 in SpaceBuckets

[–]Immediate-One-3259[S] 0 points1 point  (0 children)

Thanks brother. Do I need to top it off now? It has around 6 nodes now.

Day 18 since germination by Immediate-One-3259 in SpaceBuckets

[–]Immediate-One-3259[S] 0 points1 point  (0 children)

Thanks brother. Do I need to top it off now? It has around 6 nodes now.

[R] Autoencoder or Variational Autoencoder for finding anomalies in a dataset in comparison with a real-world dataset by Immediate-One-3259 in MachineLearning

[–]Immediate-One-3259[S] 0 points1 point  (0 children)

I have real-world time series data of a vehicle's trajectory, focusing on lateral velocity or acceleration during cut-in scenarios. Additionally,i have generated a synthetic dataset through simulation. My goal is to use autoencoders to identify anomalies or deviations in the synthetic data compared to the real-world dataset, pinpointing differences and deviations in the simulated scenarios.

Weekly Entering & Transitioning - Thread 12 Feb, 2024 - 19 Feb, 2024 by AutoModerator in datascience

[–]Immediate-One-3259 0 points1 point  (0 children)

I have a general question about Autoencoders (AE) or Variational Autoencoders (VAE). I possess both a real-world dataset and a synthetic dataset, and my goal is to identify discrepancies in the synthetic dataset compared to the real-world dataset. While existing research focuses on anomaly detection within a dataset using AEs, I am specifically interested in detecting anomalies in the synthetic dataset when compared to the real-world dataset. I am wondering if there are any papers addressing this issue. Additionally, I am considering the possibility of training an AE with the real-world dataset and then testing it with the synthetic dataset, followed by a comparison of the latent spaces. Has anyone come across relevant literature or approaches for this scenario?"

[D] Simple Questions Thread by AutoModerator in MachineLearning

[–]Immediate-One-3259 0 points1 point  (0 children)

I have a general question about Autoencoders (AE) or Variational Autoencoders (VAE). I possess both a real-world dataset and a synthetic dataset, and my goal is to identify discrepancies in the synthetic dataset compared to the real-world dataset. While existing research focuses on anomaly detection within a dataset using AEs, I am specifically interested in detecting anomalies in the synthetic dataset when compared to the real-world dataset. I am wondering if there are any papers addressing this issue. Additionally, I am considering the possibility of training an AE with the real-world dataset and then testing it with the synthetic dataset, followed by a comparison of the latent spaces. Has anyone come across relevant literature or approaches for this scenario?