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
4 papers · 1 filter
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…
Determining the Increase or Decrease of Photon Momentum: Dielectric or Plasmonic Mie Object at Air-Liquid Interface
M. R. C. Mahdy, Hamim Mahmud Rivy, Ziaur Rahman Jony +5
Though the interfacial tractor beam experiment supports the increase of photon momentum (i.e., Minkowski momentum), it is still a matter of investigation whether, inside matter, th…
FRnet-DTI: Deep Convolutional Neural Networks with Evolutionary and Structural Features for Drug-Target Interaction
Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian +2
The task of drug-target interaction prediction holds significant importance in pharmacology and therapeutic drug design. In this paper, we present FRnet-DTI, an auto encoder and a…
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification
Farshid Rayhan, Sajid Ahmed, Asif Mahbub +4
Class imbalance problem has been a challenging research problem in the fields of machine learning and data mining as most real life datasets are imbalanced. Several existing machin…