34 citations · 115 across the 14 of their papers we have counts for
14 papers
Remote Sensing Image Classification Using Deep Ensemble Learning
Niful Islam, Md. Rayhan Ahmed, Nur Mohammad Fahad +4
Remote sensing imagery plays a crucial role in many applications and requires accurate computerized classification techniques. Reliable classification is essential for transforming…
A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT
Mohammad Shamim Ahsan, Salekul Islam, Swakkhar Shatabda
The widespread adoption of the Internet of Things (IoT) has raised a new challenge for developers since it is prone to known and unknown cyberattacks due to its heterogeneity, flex…
Design of a Microprocessors and Microcontrollers Laboratory Course Addressing Complex Engineering Problems and Activities
Fahim Hafiz, Md Jahidul Hoq Emon, Md Abid Hossain +3
This paper proposes a novel curriculum for the microprocessors and microcontrollers laboratory course. The proposed curriculum blends structured laboratory experiments with an open…
BanglishRev: A Large-Scale Bangla-English and Code-mixed Dataset of Product Reviews in E-Commerce
Mohammad Nazmush Shamael, Sabila Nawshin, Swakkhar Shatabda +1
This work presents the BanglishRev Dataset, the largest e-commerce product review dataset to date for reviews written in Bengali, English, a mixture of both and Banglish, Bengali w…
Deep Transfer Learning Based Peer Review Aggregation and Meta-review Generation for Scientific Articles
Md. Tarek Hasan, Mohammad Nazmush Shamael, H. M. Mutasim Billah +5
Peer review is the quality assessment of a manuscript by one or more peer experts. Papers are submitted by the authors to scientific venues, and these papers must be reviewed by pe…
Polyp segmentation in colonoscopy images using DeepLabV3++
Al Mohimanul Islam, Sadia Shakiba Bhuiyan, Mysun Mashira +3
Segmenting polyps in colonoscopy images is essential for the early identification and diagnosis of colorectal cancer, a significant cause of worldwide cancer deaths. Prior deep lea…
VoltaVision: A Transfer Learning model for electronic component classification
Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Salekul Islam
In this paper, we analyze the effectiveness of transfer learning on classifying electronic components. Transfer learning reuses pre-trained models to save time and resources in bui…
An Artificial Intelligence-based Framework to Achieve the Sustainable Development Goals in the Context of Bangladesh
Md. Tarek Hasan, Mohammad Nazmush Shamael, Arifa Akter +3
Sustainable development is a framework for achieving human development goals. It provides natural systems' ability to deliver natural resources and ecosystem services. Sustainable…
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images
Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed +3
Accurate segmentation of the region of interest in medical images can provide an essential pathway for devising effective treatment plans for life-threatening diseases. It is still…
Classification of Human Monkeypox Disease Using Deep Learning Models and Attention Mechanisms
Md. Enamul Haque, Md. Rayhan Ahmed, Razia Sultana Nila +1
As the world is still trying to rebuild from the destruction caused by the widespread reach of the COVID-19 virus, and the recent alarming surge of human monkeypox disease outbreak…
DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages
Mehedi Hasan Bijoy, Nahid Hossain, Salekul Islam +1
Spelling error correction is the task of identifying and rectifying misspelled words in texts. It is a potential and active research topic in Natural Language Processing because of…
A Dynamic Weighted Tabular Method for Convolutional Neural Networks
Md Ifraham Iqbal, Md. Saddam Hossain Mukta, Ahmed Rafi Hasan
Traditional Machine Learning (ML) models like Support Vector Machine, Random Forest, and Logistic Regression are generally preferred for classification tasks on tabular datasets. T…
An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition
Md. Rayhan Ahmed, Salekul Islam, Ph. D +2
In this paper, we propose an ensemble of deep neural networks along with data augmentation (DA) learned using effective speech-based features to recognize emotions from speech. Our…
A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification
Afra Anika, Md. Hasibur Rahman, Salekul Islam +2
QA classification system maps questions asked by humans to an appropriate answer category. A sound question classification (QC) system model is the pre-requisite of a sound QA syst…