Design, challenges and developments for 5G massive MIMO antenna systems at sub 6-GHz band: a review

SK Ibrahim, MJ Singh, SS Al-Bawri, HH Ibrahim… - Nanomaterials, 2023 - mdpi.com
Massive multiple-input multiple-output (mMIMO) is a wireless access technique that has
been studied and investigated in response to the worldwide bandwidth demand in the …

Polarization and angular insensitive bendable metamaterial absorber for UV to NIR range

MMK Shuvo, MI Hossain, S Mahmud, S Rahman… - Scientific Reports, 2022 - nature.com
Broadband absorbers are required for solar energy harvesting because they efficiently
absorb the incident photon in the wide-ranging solar spectrum. To ensure high absorption of …

Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array

A Hossain, MT Islam, GK Beng, SBA Kashem… - Scientific reports, 2022 - nature.com
In this paper, proposes a microwave brain imaging system to detect brain tumors using a
metamaterial (MTM) loaded three-dimensional (3D) stacked wideband antenna array. The …

A central spiral split rectangular-shaped metamaterial absorber surrounded by polarization-insensitive ring resonator for S-band applications

S Sakib, A Hoque, SKBA Rahim, M Singh, NM Sahar… - Materials, 2023 - mdpi.com
This paper reports a central spiral split-rectangular-shaped metamaterial absorber
surrounded by a polarization-insensitive ring resonator for s-band applications. The rated …

A deep learning model to classify and detect brain abnormalities in portable microwave based imaging system

A Hossain, MT Islam, AF Almutairi - Scientific Reports, 2022 - nature.com
Automated classification and detection of brain abnormalities like a tumor (s) in
reconstructed microwave (RMW) brain images are essential for medical application …

A lightweight deep learning based microwave brain image network model for brain tumor classification using reconstructed microwave brain (rmb) images

A Hossain, MT Islam, SK Abdul Rahim, MA Rahman… - Biosensors, 2023 - mdpi.com
Computerized brain tumor classification from the reconstructed microwave brain (RMB)
images is important for the examination and observation of the development of brain …

A YOLOv3 deep neural network model to detect brain tumor in portable electromagnetic imaging system

A Hossain, MT Islam, MS Islam, MEH Chowdhury… - IEEE …, 2021 - ieeexplore.ieee.org
This paper presents the detection of brain tumors through the YOLOv3 deep neural network
model in a portable electromagnetic (EM) imaging system. YOLOv3 is a popular object …

A grounded coplanar waveguide-based slotted inverted delta-shaped wideband antenna for microwave head imaging

A Hossain, MT Islam, MEH Chowdhury… - IEEE …, 2020 - ieeexplore.ieee.org
A wideband grounded coplanar waveguide (GCPW) based patch antenna for head imaging
is discussed in this paper. The proposed antenna is integrated with a slotted inverted delta …

Brain tumor segmentation and classification from sensor-based portable microwave brain imaging system using lightweight deep learning models

A Hossain, MT Islam, T Rahman, MEH Chowdhury… - Biosensors, 2023 - mdpi.com
Automated brain tumor segmentation from reconstructed microwave (RMW) brain images
and image classification is essential for the investigation and monitoring of the progression …

A wide incident angle, ultrathin, polarization-insensitive metamaterial absorber for optical wavelength applications

S Mahmud, SS Islam, AF Almutairi, MT Islam - Ieee Access, 2020 - ieeexplore.ieee.org
Polarization-insensitive metamaterial absorbers (MMAs) are currently attracting a great deal
of interest throughout the optical region. These kinds of MMAs can be used as energy …