Smartphone based human activity monitoring and recognition using ML and DL: a comprehensive survey. - Dipanwita Thakur; Suparna Biswas (J. Ambient Intell. Humaniz. Comput., 2020)

Multi-domain virtual network embedding with dynamic flow migration in software-defined networks. - Dipanwita Thakur; Manas Khatua (J. Netw. Comput. Appl., 2020)

t-SNE and PCA in Ensemble Learning based Human Activity Recognition with Smartwatch*. - Dipanwita Thakur; Antonella Guzzo; Giancarlo Fortino (ICHMS, 2021)

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)

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)

Online Change Point Detection in Application With Transition-Aware Activity Recognition. - Dipanwita Thakur; Suparna Biswas (IEEE Trans. Hum. Mach. Syst., 2022)

Energy Aware Federated Learning with Application of Activity Recognition. - Dipanwita Thakur; Antonella Guzzo; Giancarlo Fortino (DASC/PiCom/CBDCom/CyberSciTech, 2023)

A Novel Smartphone-Based Human Activity Recognition Approach using Convolutional Autoencoder Long Short-Term Memory Network. - Dipanwita Thakur; Sandip Roy 001; Suparna Biswas; Edmond S. L. Ho; Samiran Chattopadhyay; Sachin Shetty (IRI, 2023)

Guided regularized random forest feature selection for smartphone based human activity recognition. - Dipanwita Thakur; Suparna Biswas (J. Ambient Intell. Humaniz. Comput., 2023)

Attention-Based Multihead Deep Learning Framework for Online Activity Monitoring With Smartwatch Sensors. - Dipanwita Thakur; Antonella Guzzo; Giancarlo Fortino (IEEE Internet Things J., 2023)

Client Specific Dynamic Aggregation for Non-IID Federated Learning. - Vincenzo Altomare; Dipanwita Thakur; Antonella Guzzo; Francesco Piccialli (IEEE Big Data, 2024)

Anomalous Client Detection in Federated Learning. - Dipanwita Thakur; Antonella Guzzo; Giancarlo Fortino (CoRR, 2024)

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning. - Dipanwita Thakur; Antonella Guzzo; Giancarlo Fortino; Sajal K. Das 001 (CoRR, 2024)

Permutation importance based modified guided regularized random forest in human activity recognition with smartphone. - Dipanwita Thakur; Suparna Biswas (Eng. Appl. Artif. Intell., 2024)

Hardware-algorithm co-design of Energy Efficient Federated Learning in Quantized Neural Network. - Dipanwita Thakur; Antonella Guzzo; Giancarlo Fortino (Internet Things, 2024)

Subsampled Randomized Hadamard Transformation-based Ensemble Extreme Learning Machine for Human Activity Recognition. - Dipanwita Thakur; Arindam Pal 001 (ACM Trans. Comput. Heal., 2024)

Intelligent Adaptive Real-Time Monitoring and Recognition System for Human Activities. - Dipanwita Thakur; Antonella Guzzo; Giancarlo Fortino (IEEE Trans. Ind. Informatics, 2024)

Multi-modal disease segmentation with continual learning and adaptive decision fusion. - Xu Xu; Junxin Chen 001; Dipanwita Thakur; Duo Hong (Inf. Fusion, 2025)

Green Federated Learning: A New Era of Green Aware AI. - Dipanwita Thakur; Antonella Guzzo; Giancarlo Fortino; Francesco Piccialli (ACM Comput. Surv., 2025)