Hfrxdjt

Nested Dynamic SOQL Query

Fair way to split coins

Should I be concerned about student access to a test bank?

Did Nintendo change its mind about 68000 SNES?

DisplayForm problem with pi in FractionBox

Asserting that Atheism and Theism are both faith based positions

What is the reasoning behind standardization (dividing by standard deviation)?

Why is indicated airspeed rather than ground speed used during the takeoff roll?

Print a physical multiplication table

Exit shell with shortcut (not typing exit) that closes session properly

PTIJ: At the Passover Seder, is one allowed to speak more than once during Maggid?

Why is there so much iron?

Turning a hard to access nut?

Why are there no stars visible in cislunar space?

PTIJ: Which Dr. Seuss books should one obtain?

Why I don't get the wanted width of tcbox?

Are hand made posters acceptable in Academia?

Norwegian Refugee travel document

Does fire aspect on a sword, destroy mob drops?

What is the difference between something being completely legal and being completely decriminalized?

How do researchers send unsolicited emails asking for feedback on their works?

TDE Master Key Rotation

Pre-Employment Background Check With Consent For Future Checks

How can an organ that provides biological immortality be unable to regenerate?

Model for classifying time-series data with distinct features?

model for univariate time series with 0,1 as data valuesTime series with erroneous dataClassifying time series data that overlapFeatures for blink detection in real-time single channel EEGHow can I prepare my data from multiple time series sources for time series regression?Normalising time(minutes) related data with n other input variables(also dependant on time)Input shape for simpler time series in LSTM+CNNMultivariate time series forecasting with LSTMTime Series prediction for uneven data with some data providedTrain LSTM model with multiple time series

0

$begingroup$

I've heard about time-series classification being done with TCN's and CNN's combined with LSTM's very often, citing that CNN's would provide insight both forward and in the past since you already have all the information for that time period. For my application, there is a distinct shape and I'd like to classify whether it exists or not. For example, I want to detect whether the data looks like this or this

Of course, there would be noise involved and the feature would be much less obvious making the problem worthy of using machine learning. Is there some way I can exploit this knowledge of there being a single important feature (this hump) to use a different architecture or do anything differently? Thanks.

time-series lstm cnn

share|improve this question

asked 13 mins ago

Rithwik SudharsanRithwik Sudharsan

1

New contributor

Rithwik Sudharsan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

0

$begingroup$

I've heard about time-series classification being done with TCN's and CNN's combined with LSTM's very often, citing that CNN's would provide insight both forward and in the past since you already have all the information for that time period. For my application, there is a distinct shape and I'd like to classify whether it exists or not. For example, I want to detect whether the data looks like this or this

Of course, there would be noise involved and the feature would be much less obvious making the problem worthy of using machine learning. Is there some way I can exploit this knowledge of there being a single important feature (this hump) to use a different architecture or do anything differently? Thanks.

time-series lstm cnn

share|improve this question

asked 13 mins ago

Rithwik SudharsanRithwik Sudharsan

1

New contributor

Rithwik Sudharsan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

$begingroup$

I've heard about time-series classification being done with TCN's and CNN's combined with LSTM's very often, citing that CNN's would provide insight both forward and in the past since you already have all the information for that time period. For my application, there is a distinct shape and I'd like to classify whether it exists or not. For example, I want to detect whether the data looks like this or this

Of course, there would be noise involved and the feature would be much less obvious making the problem worthy of using machine learning. Is there some way I can exploit this knowledge of there being a single important feature (this hump) to use a different architecture or do anything differently? Thanks.

time-series lstm cnn

share|improve this question

asked 13 mins ago

Rithwik SudharsanRithwik Sudharsan

1

New contributor

Rithwik Sudharsan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

share|improve this question

asked 13 mins ago

Rithwik SudharsanRithwik Sudharsan

1

New contributor

Rithwik Sudharsan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

asked 13 mins ago

Rithwik SudharsanRithwik Sudharsan

1

New contributor

Rithwik Sudharsan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 13 mins ago

Rithwik SudharsanRithwik Sudharsan

1

New contributor

Rithwik Sudharsan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 13 mins ago

Rithwik SudharsanRithwik Sudharsan

1