Dipanwita Thakur

According to our database, Dipanwita Thakur authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Subsampled Randomized Hadamard Transformation-based Ensemble Extreme Learning Machine for Human Activity Recognition.

Dipanwita Thakur, Arindam Pal

ACM Trans. Comput. Heal., January, 2024

Hardware-algorithm co-design of Energy Efficient Federated Learning in Quantized Neural Network.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

Internet Things, 2024

Permutation importance based modified guided regularized random forest in human activity recognition with smartphone.

Dipanwita Thakur, Suparna Biswas

Eng. Appl. Artif. Intell., 2024

Green Federated Learning: A new era of Green Aware AI.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino, Francesco Piccialli

CoRR, 2024

2023

Attention-Based Multihead Deep Learning Framework for Online Activity Monitoring With Smartwatch Sensors.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

IEEE Internet Things J., October, 2023

Guided regularized random forest feature selection for smartphone based human activity recognition.

Dipanwita Thakur, Suparna Biswas

J. Ambient Intell. Humaniz. Comput., July, 2023

A Novel Smartphone-Based Human Activity Recognition Approach using Convolutional Autoencoder Long Short-Term Memory Network.

Dipanwita Thakur, Sandip Roy, Suparna Biswas, Edmond S. L. Ho, Samiran Chattopadhyay, Sachin Shetty

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.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

Proceedings of the IEEE Intl Conf on Dependable, 2023

2022

Online Change Point Detection in Application With Transition-Aware Activity Recognition.

Dipanwita Thakur, Suparna Biswas

IEEE Trans. Hum. Mach. Syst., 2022

An Integration of feature extraction and Guided Regularized Random Forest feature selection for Smartphone based Human Activity Recognition.

Dipanwita Thakur, Suparna Biswas

J. Netw. Comput. Appl., 2022

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

Dipanwita Thakur, Suparna Biswas, Edmond S. L. Ho, Samiran Chattopadhyay

IEEE Access, 2022

2021

t-SNE and PCA in Ensemble Learning based Human Activity Recognition with Smartwatch^*.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

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.

Dipanwita Thakur, Manas Khatua

J. Netw. Comput. Appl., 2020

Smartphone based human activity monitoring and recognition using ML and DL: a comprehensive survey.

Dipanwita Thakur, Suparna Biswas

J. Ambient Intell. Humaniz. Comput., 2020