69 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Charles Sturt UniversityAU4 papers
- Kumoh National Institute of TechnologyKR2 papers
- Aalborg UniversityDK1 paper
- Bangladesh Academy of SciencesBD1 paper
- Chittagong University of Engineering & TechnologyBD1 paper
- East Delta UniversityBD1 paper
- Griffith UniversityAU1 paper
- Jeonbuk National UniversityKR1 paper
- Kyungpook National UniversityKR1 paper
- Louisiana State UniversityUS1 paper
- Mawlana Bhashani Science and Technology UniversityBD1 paper
- Memorial University of NewfoundlandCA1 paper
18 papers
Secure and Efficient n-Qubit Entangled State Teleportation Using Partially Entangled GHZ Channels and Optimal POVM
Animesh Banik, Md. Shihab Khan, Rafid Masrur Khan +2
We introduce an efficient and versatile quantum teleportation protocol for specific types of n-qubit entangled states. By employing a partially entangled Greenberger-Horne-Zeilinge…
Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation
Rofiqul Islam, Nihad Karim Chowdhury, Muhammad Ashad Kabir
This research presents a robust approach to classifying COVID-19 cough sounds using cutting-edge machine-learning techniques. Leveraging deep neural decision trees and deep neural…
Investigation of magnetic ordering with spin reorientation transition and optical properties in DyCoCrO nanomaterials
M. M. Islam, M. A. Islam, Rana Hossain +2
This study reports the synthesis and physical properties of polycrystalline DyCoCrO (DCCO) nanoparticles. Analysis of the powder X-ray diffraction (XRD) pattern using Rietv…
A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors
Fatama Tuz Johora, Md Shahedul Islam Khan, Esrath Kanon +3
Cyber risk refers to the risk of defacing reputation, monetary losses, or disruption of an organization or individuals, and this situation usually occurs by the unconscious use of…
Bangladesh Agricultural Knowledge Graph: Enabling Semantic Integration and Data-driven Analysis--Full Version
Rudra Pratap Deb Nath, Tithi Rani Das, Tonmoy Chandro Das +1
In Bangladesh, agriculture is a crucial driver for addressing Sustainable Development Goal 1 (No Poverty) and 2 (Zero Hunger), playing a fundamental role in the economy and people'…
BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text Images
Sheikh Mohammad Jubaer, Nazifa Tabassum, Md. Ataur Rahman +1
Handwriting recognition remains challenging for some of the most spoken languages, like Bangla, due to the complexity of line and word segmentation brought by the curvilinear natur…
Deep Integrated Pipeline of Segmentation Guided Classification of Breast Cancer from Ultrasound Images
Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan
Breast cancer has become a symbol of tremendous concern in the modern world, as it is one of the major causes of cancer mortality worldwide. In this regard, breast ultrasonography…
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification
Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman
The objectives of this research are analysing the performance of the state-of-the-art machine learning techniques for classifying COVID-19 from cough sound and identifying the mode…
Economic valuation of tourism of the Sundarban Mangroves, Bangladesh
Mohammad Nur Nobi, A. H. M. Raihan Sarker, Biswajit Nath +3
The Sundarban Reserve Forest (SRF) of Bangladesh provides tourism services to local and international visitors. Indeed, tourism is one of the major ecosystem services that this bio…
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman +1
This paper proposed an ensemble of deep convolutional neural networks (CNN) based on EfficientNet, named ECOVNet, to detect COVID-19 using a large chest X-ray data set. At first, t…
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images
Nihad Karim Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir
The COVID-19 pandemic continues to severely undermine the prosperity of the global health system. To combat this pandemic, effective screening techniques for infected patients are…
High-Level ETL for Semantic Data Warehouses -- Full Version
Rudra Pratap Deb Nath, Oscar Romero, Torben Bach Pedersen +1
The popularity of the Semantic Web (SW) encourages organizations to organize and publish semantic data using the RDF model. This growth poses new requirements to Business Intellige…
Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis
Md. Ataur Rahman, Md. Hanif Seddiqui
Detecting emotions from text is an extension of simple sentiment polarity detection. Instead of considering only positive or negative sentiments, emotions are conveyed using more t…
Blockchain based secure data handover scheme in non-orthogonal multiple access
Anik Islam, Mohammed Belal Uddin, Md. Fazlul Kader +1
Non-orthogonal multiple access (NOMA) with successive interference cancellation receiver is considered as one of the most potent multiple access techniques to be adopted in future…
Capacity and outage analysis of a dual-hop decode-and-forward relay-aided NOMA scheme
Md. Fazlul Kader, Mohammed Belal Uddin, S. M. Riazul Islam +1
Non-orthogonal multiple access (NOMA) is regarded as a candidate radio access technique for the next generation wireless networks because of its manifold spectral gains. A two-phas…
Optoelectronic spin memories of electrons in semiconductors
M. Idrish Miah
We optically generate electron spins in semiconductors and apply an external magnetic field perpendicularly to them. Time-resolved photoluminescence measurements, pumped with a cir…
Distortion-free Golden-Hadamard Codebook Design for MISO Systems
Md. Abdul Latif Sarker, Md. Fazlul Kader, Moon Ho Lee +1
In this letter, a novel Golden-Hadamard codebook (GHC) scheme is proposed to improve the performance of the traditional precoded Alamouti coding for multiple-input and single-outpu…
A numerical study of two-phase miscible flow through porous media with a Lagrangian model
M. Jalal Ahammad, Jahrul M Alam
The multiphase flow mechanism in miscible displacement through porous media is an important topic in various applications, such as petroleum engineering, low Reynolds number suspen…