177 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of RajshahiBD16 papers
- International Islamic University ChittagongBD15 papers
- Bangladesh Atomic Energy CommissionBD7 papers
- Bangladesh University of Engineering and TechnologyBD6 papers
- Charles Sturt UniversityAU6 papers
- St. Francis Xavier UniversityCA4 papers
- Swinburne University of TechnologyAU3 papers
- Bangladesh Army University of Science and Technology2 papers
- East Delta UniversityBD2 papers
- Edith Cowan UniversityAU2 papers
- Mawlana Bhashani Science and Technology UniversityBD2 papers
- University of Science and Technology ChittagongBD2 papers
57 papers
BARD10: A New Benchmark Reveals Significance of Bangla Stop-Words in Authorship Attribution
Abdullah Muhammad Moosa, Nusrat Sultana, Mahdi Muhammad Moosa +1
This research presents a comprehensive investigation into Bangla authorship attribution, introducing a new balanced benchmark corpus BARD10 (Bangla Authorship Recognition Dataset o…
AI Driven Water Segmentation with deep learning models for Enhanced Flood Monitoring
Sanjida Afrin Mou, Tasfia Noor Chowdhury, Adib Ibn Mannan +4
Flooding is a major natural hazard causing significant fatalities and economic losses annually, with increasing frequency due to climate change. Rapid and accurate flood detection…
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…
A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
Forkan Uddin Ahmed, Annesha Das, Md Zubair
The development of an intelligent agricultural decision-supporting system for crop selection and disease forecasting in Bangladesh is the main objective of this work. The economy o…
COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions
Mahathir Mohammad Bishal, Md. Rakibul Hassan Chowdory, Anik Das +1
The COVID-19 pandemic has had adverse effects on both physical and mental health. During this pandemic, numerous studies have focused on gaining insights into health-related perspe…
Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach
Md Zubair, Md. Shahidul Salim, Mehrab Mustafy Rahman +3
Agriculture plays a fundamental role in driving economic growth and ensuring food security for populations around the world. Although labor-intensive agriculture has led to steady…
Exploring a Hybrid Deep Learning Framework to Automatically Discover Topic and Sentiment in COVID-19 Tweets
Khandaker Tayef Shahriar, Iqbal H. Sarker
COVID-19 has created a major public health problem worldwide and other problems such as economic crisis, unemployment, mental distress, etc. The pandemic is deadly in the world and…
High pressure mediated physical properties of Hf2AB (A = Pb, Bi) via DFT calculations
M. S. Hossain, N. Jahan, M. M. Hossain +2
Using density functional theory (DFT), the structural, mechanical, electronic, thermal, and optical properties of Hf2AB (A = Pb, Bi) borides were studied, considering the pressure…
First-principles calculations to investigate structural, elastic, electronic, thermodynamic, and thermoelectric properties of CaPdBO (B = Ti, V) perovskite
M. H. K. Rubel, M. A. Hossain, M. Khalid Hossain +6
This study has explored numerous physical properties of CaPdTiO2 (CPTO) and CaPdVO (CPVO) quadruple perovskites employing the density functional theory…
A Real-Time Wrong-Way Vehicle Detection Based on YOLO and Centroid Tracking
Zillur Rahman, Amit Mazumder Ami, Muhammad Ahsan Ullah
Wrong-way driving is one of the main causes of road accidents and traffic jam all over the world. By detecting wrong-way vehicles, the number of accidents can be minimized and traf…
An enhanced method of initial cluster center selection for K-means algorithm
Zillur Rahman, Md. Sabir Hossain, Mohammad Hasan +1
Clustering is one of the widely used techniques to find out patterns from a dataset that can be applied in different applications or analyses. K-means, the most popular and simple…
Smartphone Apps for Tracking Food Consumption and Recommendations: Evaluating Artificial Intelligence-based Functionalities, Features and Quality of Current Apps
Sabiha Samad, Fahmida Ahmed, Samsun Naher +4
The advancement of artificial intelligence (AI) and the significant growth in the use of food consumption tracking and recommendation-related apps in the app stores have created a…
Optimization of Temperature and Relative Humidity in an Automatic Egg Incubator Using Mamdani Interference System
Pramit Dutta, Nafisa Anjum
Temperature and humidity are two of the rudimentary factors that must be controlled during egg incubation. Improper temperature and humidity levels during the incubation period oft…
Identifying Counterfeit Products using Blockchain Technology in Supply Chain System
Nafisa Anjum, Pramit Dutta
With the advent of globalization and the evergrowing rate of technology, the volume of production as well as ease of procuring counterfeit goods has become unprecedented. Be it foo…
COVID-19 Detection using Transfer Learning with Convolutional Neural Network
Pramit Dutta, Tanny Roy, Nafisa Anjum
The Novel Coronavirus disease 2019 (COVID-19) is a fatal infectious disease, first recognized in December 2019 in Wuhan, Hubei, China, and has gone on an epidemic situation. Under…
A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues
A. R. Sana Ullah, Anupam Das, Anik Das +2
Misinformation during pandemic situations like COVID-19 is growing rapidly on social media and other platforms. This expeditious growth of misinformation creates adverse effects on…
A Systematic Review of Mobile Apps for Child Sexual Abuse Education: Limitations and Design Guidelines
Sadia Tasnuva Pritha, Rahnuma Tasnim, Muhammad Ashad Kabir +2
The objectives of this study are understanding the requirements of a CSA education app, identifying the limitations of existing apps, and providing a guideline for better app desig…
Impact of particle size on the magnetic properties of highly crystalline Yb3+ substituted Ni-Zn nanoferrites
N. Jahan, M. M. Uddin, M. N. I. Khan +4
Yb-substituted Ni-Zn ferrites have been synthesized using sol-gel auto combustion method. The structural characterization of the compositions has been performed by X-ray diffractio…
Enhanced thermo-mechanical properties of 212 MAX phase borides Zr2AB2 (A = In, Tl): an ab-initio understanding
M. A. Ali, M. M. Hossain, M. M. Uddin +2
The discovery of MAX phase borides has added a new dimension for research in the materials science community. In this paper, a first-principles study of the newly known MAX phase b…
Newly synthesized MAX phase Zr2SeC: DFT insights into physical properties towards possible applications
M. A. Ali, Muhammad Waqas Qureshi
A DFT study of the synthesized MAX phase Zr2SeC has been carried out for the first time to explore its physical properties for possible applications in many sectors. The studied pr…
Origin of high hardness and optoelectronic and thermo-physical properties of boron-rich compounds B6X (X = S, Se): a comprehensive study via DFT approach
M. M. Hossain, M. A. Ali, M. M. Uddin +2
In the present study, the structural and hitherto uninvestigated mechanical (elastic stiffness constants, machinability index, Cauchy pressure, anisotropy indices, brittleness/duct…
Physical properties of predicted MAX phase borides Hf2AB (A = Pb, Bi): a DFT insight
M. S. Hossain, M. A. Ali, M. M. Hossain +1
We have used density functional theory to study the recently predicted MAX phase borides Hf2AB (A = Pb, Bi) in where the mechanical, electronic, thermal, and optical properties hav…
DFT insights into new B-containing 212 MAX phases: Hf2AB2 (A = In, Sn)
M. A. Ali, M. M. Hossain, M. M. Uddin +3
212 MAX phase borides are new additions to the MAX phase family with enhanced thermo-mechanical properties. In this article, first-principles calculations have been carried out to…
Physical properties of new MAX phase borides M2SB (M = Zr, Hf and Nb) in comparison with conventional MAX phase carbides M2SC (M = Zr, Hf and Nb): Comprehensive insights
M. A. Ali, M. M. Hossain, M. M. Uddin +3
In this article, a detailed study of the recently synthesized MAX phase borides M2SB (M = Zr, Hf and Nb) has been performed via first principles technique. Investigation of mechani…