195 citations
- International University of Business Agriculture and TechnologyBD4 papers
- University of TorontoCA4 papers
- Bangladesh University of Engineering and TechnologyBD3 papers
- BRAC UniversityBD3 papers
- University of South FloridaUS3 papers
- American International University-BangladeshBD2 papers
- Commonwealth Scientific and Industrial Research OrganisationAU2 papers
- Data61AU2 papers
- Dhaka University of Engineering & TechnologyBD2 papers
- East Delta UniversityBD2 papers
- Khulna University of Engineering and TechnologyBD2 papers
- Manchester UniversityUS2 papers
15 papers · 1 filter
Flow-Based Path Planning for Multiple Homogenous UAVs for Outdoor Formation-Flying
Mahmud Suhaimi Ibrahim, Shantanu Rahman, Muhammad Samin Hasan +2
Collision-free path planning is the most crucial component in multi-UAV formation-flying (MFF). We use unlabeled homogenous quadcopters (UAVs) to demonstrate the use of a flow netw…
BdSL-SPOTER: A Transformer-Based Framework for Bengali Sign Language Recognition with Cultural Adaptation
Sayad Ibna Azad, Md. Atiqur Rahman
We introduce BdSL-SPOTER, a pose-based transformer framework for accurate and efficient recognition of Bengali Sign Language (BdSL). BdSL-SPOTER extends the SPOTER paradigm with cu…
Risk Prediction of Cardiovascular Disease for Diabetic Patients with Machine Learning and Deep Learning Techniques
Esha Chowdhury
Accurate prediction of cardiovascular disease (CVD) risk is crucial for healthcare institutions. This study addresses the growing prevalence of diabetes and its strong link to hear…
Attention-Enhanced LSTM Modeling for Improved Temperature and Rainfall Forecasting in Bangladesh
Usman Gani Joy, Shahadat kabir, Tasnim Niger
Accurate climate forecasting is vital for Bangladesh, a region highly susceptible to climate change impacts on temperature and rainfall. Existing models often struggle to capture l…
CogniAlign: Survivability-Grounded Multi-Agent Moral Reasoning for Safe and Transparent AI
Hasin Jawad Ali, Ilhamul Azam, Ajwad Abrar +2
The challenge of aligning artificial intelligence (AI) with human values persists due to the abstract and often conflicting nature of moral principles and the opacity of existing a…
AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
Md Abrar Jahin, Taufikur Rahman Fuad, M. F. Mridha +2
Federated Learning (FL) faces inherent challenges in balancing model performance, privacy preservation, and communication efficiency, especially in non-IID decentralized environmen…