activity
20182024
most citedA Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network

56 citations · 60 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

A Novel Hierarchical-Classification-Block Based Convolutional Neural Network for Source Camera Model Identification

Mohammad Zunaed, Shaikh Anowarul Fattah

Digital security has been an active area of research interest due to the rapid adaptation of internet infrastructure, the increasing popularity of social media, and digital cameras…

eess.SP202156 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…

cs.CV20201 cited

Automatic Diagnosis of Malaria from Thin Blood Smear Images using Deep Convolutional Neural Network with Multi-Resolution Feature Fusion

Tanvir Mahmud, Shaikh Anowarul Fattah

Malaria, a life-threatening disease, infects millions of people every year throughout the world demanding faster diagnosis for proper treatment before any damages occur. In this pa…

eess.IV20202 cited

CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans

Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah +1

Automatic lung lesions segmentation of chest CT scans is considered a pivotal stage towards accurate diagnosis and severity measurement of COVID-19. Traditional U-shaped encoder-de…

eess.SP2018

SPECMAR: Fast Heart Rate Estimation from PPG Signal using a Modified Spectral Subtraction Scheme with Composite Motion Artifacts Reference Generation

Mohammad Tariqul Islam, Sk. Tanvir Ahmed, Celia Shahnaz +1

The task of heart rate estimation using photoplethysmographic (PPG) signal is challenging due to the presence of various motion artifacts in the recorded signals. In this paper, a…