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Question	I really enjoyed your presentation. Thank you! As we spoke about after, although I understand the data is a bit challenging to use given the aggregate nature of it, as you discussed in your presentation, that you are intending to target (if possible) generative approaches to new routes - I'm curious what ideas you have about this given the weak state of current generative AI in doing this. Do you have any details to your plans? Are there specific approaches you plan on implementing to generate better routes?
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ICACT20250238 Question.1 Questioner: jianms@nfu.edu.tw 2025-02-06 오전 11:55:22	ICACT20250238 Answer.1 Answer by Auhor zolzaya@must.edu.mn 2025-02-06 오전 11:55:22 Chrome Click!!
How about comapring with the historic data? The prediction accuracy comaprison between the proposed method and history is interesting.
ICACT20250238 Question.2 Questioner: 965491454@qq.com 2025-02-10 오후 6:21:48	ICACT20250238 Answer.2 Answer by Auhor zolzaya@must.edu.mn 2025-02-10 오후 6:21:48 Chrome Click!!
You mentioned using data for 133 bus routes and 15,648 monthly samples. How did you handle potential missing data or outliers in the dataset during preprocessing?
ICACT20250238 Question.4 Questioner: taikung@gmail.com 2025-02-18 오전 8:01:58	ICACT20250238 Answer.4 Answer by Auhor zolzaya@must.edu.mn 2025-02-18 오전 8:01:58 Chrome Click!!
I really enjoyed your presentation. Thank you! As we spoke about after, although I understand the data is a bit challenging to use given the aggregate nature of it, as you discussed in your presentation, that you are intending to target (if possible) generative approaches to new routes - I'm curious what ideas you have about this given the weak state of current generative AI in doing this. Do you have any details to your plans? Are there specific approaches you plan on implementing to generate better routes?