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
11 papers · 1 filter
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.…