551 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Swakkhar Shatabda2 profiles20 · h 31
- Sami Azam2 profiles8 · h 14
- C. R. Rahman7 · h 6
- Mohaimenul Azam Khan Raiaan2 profiles7 · h 13
- Md. Rafiqul Islam6 · h 1
- Chowdhury Mofizur Rahman3 profiles4 · h 17
- Sajid Ahmed4 · h 13
- S. Islam4 · h 17
- A. Khandoker3 · h 38
- Arefin Ittesafun Abian3 · h 3
- D. Farid3 · h 25
- Fahim Hafiz3 · h 3
- BRAC UniversityBD9 papers
- Bangladesh University of Engineering and TechnologyBD8 papers
- Charles Darwin UniversityAU8 papers
- Pennsylvania State UniversityUS6 papers
- Artificial Intelligence in Medicine (Canada)CA5 papers
- Monash UniversityAU5 papers
- North South UniversityBD4 papers
- University of DhakaBD4 papers
- Khalifa University of Science and TechnologyAE3 papers
- Lappeenranta-Lahti University of TechnologyFI3 papers
- Stamford University BangladeshBD3 papers
- University of Asia PacificBD3 papers
9 papers · 1 filter
BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data
Arefin Ittesafun Abian, Debopom Sutradhar, Md Rafi Ur Rashid +5
Insect classification is important for agricultural management and ecological research, as it directly affects crop health and production. However, this task remains challenging du…
A fine-grained attention and geometric correspondence model for musculoskeletal risk classification in athletes using multimodal visual and skeletal features
Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Tamanna Shermin +3
Musculoskeletal disorders pose significant risks to athletes, and early risk assessment is essential for prevention. However, most existing methods are designed for controlled sett…
Accurate Water Level Monitoring in AWD Rice Cultivation Using Convolutional Neural Networks
Ahmed Rafi Hasan, Niloy Kumar Kundu, Saad Hasan +2
The Alternate Wetting and Drying (AWD) method is a rice-growing water management technique promoted as a sustainable alternative to Continuous Flooding (CF). Climate change has pla…
A Bidirectional Siamese Recurrent Neural Network for Accurate Gait Recognition Using Body Landmarks
Proma Hossain Progga, Md. Jobayer Rahman, Swapnil Biswas +3
Gait recognition is a significant biometric technique for person identification, particularly in scenarios where other physiological biometrics are impractical or ineffective. In t…
AniFaceDiff: Animating Stylized Avatars via Parametric Conditioned Diffusion Models
Ken Chen, Sachith Seneviratne, Wei Wang +7
Animating stylized avatars with dynamic poses and expressions has attracted increasing attention for its broad range of applications. Previous research has made significant progres…
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification
Niful Islam, Md. Mehedi Hasan Jony, Emam Hasan +3
Improper disposal of e-waste poses global environmental and health risks, raising serious concerns. The accurate classification of e-waste images is critical for efficient manageme…
MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification
Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed +1
Numerous diseases cause severe economic loss in the apple production-based industry. Early disease identification in apple leaves can help to stop the spread of infections and prov…
Confronting the Constraints for Optical Character Segmentation from Printed Bangla Text Image
Abu Saleh Md. Abir, Sanjana Rahman, Samia Ellin +3
In a world of digitization, optical character recognition holds the automation to written history. Optical character recognition system basically converts printed images into edita…
Identification and Recognition of Rice Diseases and Pests Using Convolutional Neural Networks
Chowdhury Rafeed Rahman, Preetom Saha Arko, Mohammed Eunus Ali +4
An accurate and timely detection of diseases and pests in rice plants can help farmers in applying timely treatment on the plants and thereby can reduce the economic losses substan…