Browsing by Author "Tahir A."
Now showing items 1-8 of 8
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Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
Hossain, Amran; Islam, Mohammad T.; Rahman, Tawsifur; Chowdhury, Muhammad E. H.; Tahir, Anas; Kiranyaz, Serkan; Mat, Kamarulzaman; Beng, Gan K.; Soliman, Mohamed S.... more authors ... less authors ( MDPI , 2023 , Article)Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, ... -
Detection and severity classification of COVID-19 in CT images using deep learning
Qiblawey Y.; Tahir A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman T.; Ibtehaz N.; Mahmud S.; Al Maadeed S.; Musharavati F.; Ayari M.A.... more authors ... less authors ( MDPI , 2021 , Article)Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ... -
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication
Ibtehaz N.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman M.S.; Tahir A.; Qiblawey Y.; Rahman T.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In recent years, physiological signal-based authentication has shown great promises, for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received ... -
Experimental characterization of a tactile sensor for surgical applications
Tahir, A.; Tahir, Anas; Abinahed, Julien; Navkar, Nikhil; Sadasivuni, Kishor Kumar; Al-Ansari, Abdulla; Cabibihan, John John... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)© 2018 IEEE. This paper presents an improved piezoelectric sensor fabricated using reduced graphene oxide (rGO)-filled polydimethylsiloxane (PDMS) elastomer composite that is able to sense the linear force applied onto its ... -
Geographical area network-structural health monitoring utility computing model
Tariq H.; Tahir A.; Touati F.; Al-Hitmi M.A.E.; Crescini D.; Manouer A.B.... more authors ... less authors ( MDPI AG , 2019 , Article)In view of intensified disasters and fatalities caused by natural phenomena and geographical expansion, there is a pressing need for a more effective environment logging for a better management and urban planning. This ... -
On Optimizing the Secrecy Performance of RIS-Assisted Cooperative Networks
Almohamad A.; Al-Kababji A.; Tahir A.; Khattab T.; Hasna , Mazen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Employing reconfigurable intelligent surfaces (RIS) is emerging as a game-changer candidate, thanks to their unique capabilities in improving the power efficiency and supporting the ubiquity of future wireless communication ... -
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
Zahid M.U.; Kiranyaz, Mustafa Serkan; Ince T.; Devecioglu O.C.; Chowdhury M.E.H.; Khandakar A.; Tahir A.; Gabbouj M.... more authors ... less authors ( IEEE Computer Society , 2022 , Article)Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak ... -
Structural health monitoring installation scheme using utility computing model
Tariq H.; Al-Hitmi M.A.E.; Tahir A.; Crescini D.; Touati F.; Manouer A.B.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)In view of intensified disasters and fatalities caused by natural phenomena, there is a pressing need for an efficient environment logging that provides structural information to administrators for a better management and ...