Survival study on deep learning techniques for IoT enabled smart healthcare system

. 2023 Feb 10;13(2):215–228. doi: 10.1007/s12553-023-00736-4

Input: Dataset ‘DS’, Attributes
Output: Computationally efficient activity recognition prediction
1: Begin 2: For each Dataset ‘DS’ with Attributes ‘A’ 3: Estimate spatial factors using (1) 4: Estimate temporal factors using (2) 5: Obtain the hidden layer vector using (3) 6: Obtain output vector using (4) 7: Estimate gradient descent using (5) 8: Return estimated output 9: End for 10: End

Input: Dataset ‘DS’, Attributes Inline graphic

Output: Computationally efficient activity recognition prediction

1: Begin

2: For each Dataset ‘DS’ with Attributes ‘A’

3: Estimate spatial factors using (1)

4: Estimate temporal factors using (2)

5: Obtain the hidden layer vector using (3)

6: Obtain output vector using (4)

7: Estimate gradient descent using (5)

8: Return estimated output

9: End for

10: End