most citedA Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network

56 citations · 56 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023

SINF: Semantic Neural Network Inference with Semantic Subgraphs

A. Q. M. Sazzad Sayyed, Francesco Restuccia

This paper proposes Semantic Inference (SINF) that creates semantic subgraphs in a Deep Neural Network(DNN) based on a new Discriminative Capability Score (DCS) to drastically redu…

eess.SP2021★ 56 cited

A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network

Tanvir Mahmud, A. Q. M. Sazzad Sayyed, Shaikh Anowarul Fattah +1

Deep neural network is an effective choice to automatically recognize human actions utilizing data from various wearable sensors. These networks automate the process of feature ext…