Dipanwita Thakur

Orcid: 0000-0003-2895-1425

According to our database1, Dipanwita Thakur authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Subsampled Randomized Hadamard Transformation-based Ensemble Extreme Learning Machine for Human Activity Recognition.
ACM Trans. Comput. Heal., January, 2024

2023
Attention-Based Multihead Deep Learning Framework for Online Activity Monitoring With Smartwatch Sensors.
IEEE Internet Things J., October, 2023

Guided regularized random forest feature selection for smartphone based human activity recognition.
J. Ambient Intell. Humaniz. Comput., July, 2023

A Novel Smartphone-Based Human Activity Recognition Approach using Convolutional Autoencoder Long Short-Term Memory Network.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Energy Aware Federated Learning with Application of Activity Recognition.
Proceedings of the IEEE Intl Conf on Dependable, 2023

2022
Online Change Point Detection in Application With Transition-Aware Activity Recognition.
IEEE Trans. Hum. Mach. Syst., 2022

An Integration of feature extraction and Guided Regularized Random Forest feature selection for Smartphone based Human Activity Recognition.
J. Netw. Comput. Appl., 2022

ConvAE-LSTM: Convolutional Autoencoder Long Short-Term Memory Network for Smartphone-Based Human Activity Recognition.
IEEE Access, 2022

2021
t-SNE and PCA in Ensemble Learning based Human Activity Recognition with Smartwatch<sup>*</sup>.
Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, 2021

2020
Multi-domain virtual network embedding with dynamic flow migration in software-defined networks.
J. Netw. Comput. Appl., 2020

Smartphone based human activity monitoring and recognition using ML and DL: a comprehensive survey.
J. Ambient Intell. Humaniz. Comput., 2020


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