2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- BRAC UniversityBD7 papers
- University of DhakaBD6 papers
- Bangladesh University of Engineering and TechnologyBD5 papers
- Qatar UniversityQA5 papers
- Taif UniversitySA5 papers
- Lappeenranta-Lahti University of TechnologyFI4 papers
- National University of MalaysiaMY4 papers
- United International UniversityBD4 papers
- Bangladesh Medical UniversityBD3 papers
- Georgia Institute of TechnologyUS3 papers
- Hamad General HospitalQA3 papers
- Obuda UniversityHU3 papers
80 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…
BengaliMoralBench: A Benchmark for Auditing Moral Reasoning in Large Language Models within Bengali Language and Culture
Shahriyar Zaman Ridoy, Azmine Toushik Wasi, Koushik Ahamed Tonmoy +2
As multilingual Large Language Models (LLMs) gain traction across South Asia, their alignment with local ethical norms, particularly for Bengali, spoken by over 285 million people…
Predicting life satisfaction using machine learning and explainable AI
Alif Elham Khan, Mohammad Junayed Hasan, Humayra Anjum +2
Life satisfaction is a crucial facet of human well-being. Hence, research on life satisfaction is incumbent for understanding how individuals experience their lives and influencing…
A Holistic Approach to E-Commerce Innovation: Redefining Security and User Experience
Mohammad Olid Ali Akash, Priyangana Saha
In the modern, fast-moving world of e-commerce, many Android apps face challenges in providing a simple and secure shopping experience. Many of these apps, often enough, have compl…
A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach
Md Sabbir Ahmed, Nova Ahmed
Background: Existing robust, pervasive device-based systems developed in recent years to detect depression require data collected over a long period and may not be effective in cas…
A Minimalistic Approach to Predict and Understand the Relation of App Usage with Students' Academic Performances
Md Sabbir Ahmed, Rahat Jahangir Rony, Mohammad Abdul Hadi +2
Due to usage of self-reported data which may contain biasness, the existing studies may not unveil the exact relation between academic grades and app categories such as Video. Addi…
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…
Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis
Farhana Elias, Md Shihab Reza, Muhammad Zawad Mahmud +2
The present research tackles the difficulty of predicting osteoporosis risk via machine learning (ML) approaches, emphasizing the use of explainable artificial intelligence (XAI) t…
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…
Smart IoT Security: Lightweight Machine Learning Techniques for Multi-Class Attack Detection in IoT Networks
Shahran Rahman Alve, Muhammad Zawad Mahmud, Samiha Islam +2
The Internet of Things (IoT) is expanding at an accelerated pace, making it critical to have secure networks to mitigate a variety of cyber threats. This study addresses the limita…
Labels Generated by Large Language Models Help Measure People's Empathy in Vitro
Md Rakibul Hasan, Yue Yao, Md Zakir Hossain +4
Large language models (LLMs) have revolutionised many fields, with LLM-as-a-service (LLMSaaS) offering accessible, general-purpose solutions without costly task-specific training.…
Optimized IoT Intrusion Detection using Machine Learning Technique
Muhammad Zawad Mahmud, Samiha Islam, Shahran Rahman Alve +1
An application of software known as an Intrusion Detection System (IDS) employs machine algorithms to identify network intrusions. Selective logging, safeguarding privacy, reputati…
Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
Samiha Islam, Muhammad Zawad Mahmud, Shahran Rahman Alve +2
The goal of the present study is to analyze an application of deep learning models in order to augment the diagnostic performance of oral squamous cell carcinoma (OSCC) with a long…
Strengthening False Information Propagation Detection: Leveraging SVM and Sophisticated Text Vectorization Techniques in comparison to BERT
Ahmed Akib Jawad Karim, Kazi Hafiz Md Asad, Aznur Azam
The rapid spread of misinformation, particularly through online platforms, underscores the urgent need for reliable detection systems. This study explores the utilization of machin…
Multi-Layered Security System: Integrating Quantum Key Distribution with Classical Cryptography to Enhance Steganographic Security
Arman Sykot, Md Shawmoon Azad, Wahida Rahman Tanha +3
In this paper, we present a novel cryptographic system that integrates Quantum Key Distribution (QKD) with classical encryption techniques to secure steganographic images. Our appr…
Robotic Arm Manipulation with Inverse Reinforcement Learning & TD-MPC
Md Shoyib Hassan, Sabir Md Sanaullah
One unresolved issue is how to scale model-based inverse reinforcement learning (IRL) to actual robotic manipulation tasks with unpredictable dynamics. The ability to learn from bo…
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
Wahidul Hasan Abir, Md. Fahim Uddin, Faria Rahman Khanam +1
This research paper focuses on Acute Lymphoblastic Leukemia (ALL), a form of blood cancer prevalent in children and teenagers, characterized by the rapid proliferation of immature…
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Shams Forruque Ahmed, Md. Sakib Bin Alam, Maliha Kabir +4
Deep learning (DL) allows computer models to learn, visualize, optimize, refine, and predict data. To understand its present state, examining the most recent advancements and appli…
Forensics and security issues in the Internet of Things
Shams Forruque Ahmed, Shanjana Shuravi, Afsana Bhuyian +5
Given the exponential expansion of the internet, the possibilities of security attacks and cybercrimes have increased accordingly. However, poorly implemented security mechanisms i…
CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets
Mominul Islam, Hasib Zunair, Nabeel Mohammed
Crafting effective deep learning models for medical image analysis is a complex task, particularly in cases where the medical image dataset lacks significant inter-class variation.…
SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and its Evaluation
Md. Ekramul Islam, Labib Chowdhury, Faisal Ahamed Khan +5
This study introduces SentiGOLD, a Bangla multi-domain sentiment analysis dataset. Comprising 70,000 samples, it was created from diverse sources and annotated by a gender-balanced…
Uncertainty Aware Neural Network from Similarity and Sensitivity
H M Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam +8
Researchers have proposed several approaches for neural network (NN) based uncertainty quantification (UQ). However, most of the approaches are developed considering strong assumpt…
IoT-Based Remote Health Monitoring System Employing Smart Sensors for Asthma Patients during COVID-19 Pandemic
Nafisa Shamim Rafa, Basma Binte Azmal, Abdur Rab Dhruba +4
COVID19 and asthma are respiratory diseases that can be life threatening in uncontrolled circumstances and require continuous monitoring. A poverty stricken South Asian country lik…
IoT-Based Water Quality Assessment System for Industrial Waste WaterHealthcare Perspective
Abdur Rab Dhruba, Kazi Nabiul Alam, Md. Shakib Khan +5
The environment, especially water, gets polluted due to industrialization and urbanization. Pollution due to industrialization and urbanization has harmful effects on both the envi…