M
MuhibUr Rahman
Researcher at École Polytechnique de Montréal
Publications - 60
Citations - 1120
MuhibUr Rahman is an academic researcher from École Polytechnique de Montréal. The author has contributed to research in topics: Antenna (radio) & Frequency band. The author has an hindex of 14, co-authored 53 publications receiving 518 citations. Previous affiliations of MuhibUr Rahman include Dongguk University & Lahore University of Management Sciences.
Papers
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Journal ArticleDOI
4-Port MIMO Antenna with Defected Ground Structure for 5G Millimeter Wave Applications
Mahnoor Khalid,Syeda Iffat Naqvi,Niamat Hussain,MuhibUr Rahman,Fawad,Seyed Sajad Mirjavadi,Muhammad Jamil Khan,Yasar Amin +7 more
TL;DR: In this paper, a 4-port multiple-input-multiple-output (MIMO) antenna array operating in the mm-wave band for 5G applications is presented, where an identical two-element array excited by the feed network based on a T-junction power combiner/divider is introduced, while the ground plane is made defected with rectangular, circular and a zigzag-shaped slotted structure to enhance the radiation characteristics of the antenna.
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IoMT Cloud-Based Intelligent Prediction of Breast Cancer Stages Empowered With Deep Learning
Shahan Yamin Siddiqui,Amir Haider,Taher M. Ghazal,Muhammad Adnan Khan,Iftikhar Naseer,Sagheer Abbas,MuhibUr Rahman,Junaid Ahmad Khan,Munir Ahmad,Mohammad Kamrul Hasan,Afifi Mohammed. A,Karamath Ateeq +11 more
TL;DR: Wang et al. as mentioned in this paper proposed an Internet of Medical Things (IoMT) cloud-based model for the intelligent prediction of breast cancer stages, which is employed to detect breast cancer and its stages.
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Compact UWB Band-Notched Antenna with Integrated Bluetooth for Personal Wireless Communication and UWB Applications
TL;DR: In this article, a band-notched UWB antenna with integrated Bluetooth is developed for personal wireless communication and UWB applications, which operates at the UWB frequency band (3.1-10.6 GHz) as well as Bluetooth (2.4-2.484 GHz).
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EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
Muhammad Adeel Asghar,Muhammad Jamil Khan,Fawad,Yasar Amin,Muhammad Rizwan,MuhibUr Rahman,Salman Badnava,Seyed Sajad Mirjavadi +7 more
TL;DR: The proposed BoDF model achieves better classification accuracy compared to the recently reported work when validated on SJTU SEED and DEAP data sets, which is more accurate compared to other state-of-the-art methods of human emotion recognition.
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The Smallest Form Factor UWB Antenna with Quintuple Rejection Bands for IoT Applications Utilizing RSRR and RCSRR
MuhibUr Rahman,Jung-Dong Park +1 more
TL;DR: The measured results demonstrate that the proposed antenna delivers a wide impedance bandwidth from 3 to 11 GHz with a nearly omnidirectional radiation pattern, high rejection in the multiple notched-bands, and good radiation efficiency over the entire frequency band except at the notched frequencies.