12 citations · 43 across the 17 of their papers we have counts for
17 papers
BloodCell-Net: A lightweight convolutional neural network for the classification of all microscopic blood cell images of the human body
Sohag Kumar Mondal, Md. Simul Hasan Talukder, Mohammad Aljaidi +3
Blood cell classification and counting are vital for the diagnosis of various blood-related diseases, such as anemia, leukemia, and thrombocytopenia. The manual process of blood ce…
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques
Utsha Roy, Mst. Sazia Tahosin, Md. Mahedi Hassan +6
The rise of fake news has made the need for effective detection methods, including in languages other than English, increasingly important. The study aims to address the challenges…
SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classification
Md. Simul Hasan Talukder, Sharmin Akter, Abdullah Hafez Nur +3
Sugarcane, a key crop for the world's sugar industry, is prone to several diseases that have a substantial negative influence on both its yield and quality. To effectively manage a…
Critical Analysis and Countermeasures Tactics, Techniques and Procedures (TTPs) that targeting civilians: A case study On Pegasus
Osama Hussien, Usman Butt, Rejwan Bin Sulaiman
Individuals, businesses, and governments all face additional difficulties because of the rise of sophisticated cyberattack attacks. This paper investigates the targeting of journal…
A review of SolarWinds attack on Orion platform using persistent threat agents and techniques for gaining unauthorized access
Antigoni Kruti, Usman Butt, Rejwan Bin Sulaiman
This paper of work examines the SolarWinds attack, designed on Orion Platform security incident. It analyses the persistent threats agents and potential technical attack techniques…
Unleashing the Power of Extra-Tree Feature Selection and Random Forest Classifier for Improved Survival Prediction in Heart Failure Patients
Md. Simul Hasan Talukder, Rejwan Bin Sulaiman, Mouli Bardhan Paul Angon
Heart failure is a life-threatening condition that affects millions of people worldwide. The ability to accurately predict patient survival can aid in early intervention and improv…
Comparative Analysis of Epileptic Seizure Prediction: Exploring Diverse Pre-Processing Techniques and Machine Learning Models
Md. Simul Hasan Talukder, Rejwan Bin Sulaiman
Epilepsy is a prevalent neurological disorder characterized by recurrent and unpredictable seizures, necessitating accurate prediction for effective management and patient care. Ap…
JutePestDetect: An Intelligent Approach for Jute Pest Identification Using Fine-Tuned Transfer Learning
Md. Simul Hasan Talukder, Mohammad Raziuddin Chowdhury, Md Sakib Ullah Sourav +8
In certain Asian countries, Jute is one of the primary sources of income and Gross Domestic Product (GDP) for the agricultural sector. Like many other crops, Jute is prone to pest…
PotatoPestNet: A CTInceptionV3-RS-Based Neural Network for Accurate Identification of Potato Pests
Md. Simul Hasan Talukder, Rejwan Bin Sulaiman, Mohammad Raziuddin Chowdhury +2
Potatoes are the third-largest food crop globally, but their production frequently encounters difficulties because of aggressive pest infestations. The aim of this study is to inve…
A Comparative Analysis of CNN-Based Pretrained Models for the Detection and Prediction of Monkeypox
Sourav Saha, Trina Chakraborty, Rejwan Bin Sulaiman +1
Monkeypox is a rare disease that raised concern among medical specialists following the convi-19 pandemic. It's concerning since monkeypox is difficult to diagnose early on because…
The Role of Digital Agriculture in Transforming Rural Areas into Smart Villages
Mohammad Raziuddin Chowdhury, Md Sakib Ullah Sourav, Rejwan Bin Sulaiman
From the perspective of any nation, rural areas generally present a comparable set of problems, such as a lack of proper health care, education, living conditions, wages, and marke…
Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus
Md Sakib Ullah Sourav, Huidong Wang, Mohammad Sultan Mahmud +1
In this research, we propose a complete set of approaches for identifying and extracting emotions from Bangla texts. We provide a Bangla emotion classifier for six classes: anger,…
Efficient approach of using CNN based pretrained model in Bangla handwritten digit recognition
Muntarin Islam, Shabbir Ahmed Shuvo, Musarrat Saberin Nipun +5
Due to digitalization in everyday life, the need for automatically recognizing handwritten digits is increasing. Handwritten digit recognition is essential for numerous application…
CNN based Intelligent Streetlight Management Using Smart CCTV Camera and Semantic Segmentation
Md Sakib Ullah Sourav, Huidong Wang, Mohammad Raziuddin Chowdhury +1
One of the most neglected sources of energy loss is streetlights which generate too much light in areas where it is not required. Energy waste has enormous economic and environment…
A novel approach to increase scalability while training machine learning algorithms using Bfloat 16 in credit card fraud detection
Bushra Yousuf, Rejwan Bin Sulaiman, Musarrat Saberin Nipun
The use of credit cards has become quite common these days as digital banking has become the norm. With this increase, fraud in credit cards also has a huge problem and loss to the…
AI Based Chatbot: An Approach of Utilizing On Customer Service Assistance
Rejwan Bin Sulaiman
Providing the best customer experience is one of the primary concerns for the firms that are based online. The advancement of machine learning is revolutionising the company's atti…
Efficiency Comparison of AI classification algorithms for Image Detection and Recognition in Real-time
Musarrat Saberin Nipun, Rejwan Bin Sulaiman, Amer Kareem
Face detection and identification is the most difficult and often used task in Artificial Intelligence systems. The goal of this study is to present and compare the results of seve…