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Md. Mahbubur Rahman
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  • Projects
    • CLFM: climate-informed representation learning
    • TAHAF: RGB-D plant phenotyping
    • Temporal amodal leaf completion
  • Talks
    • Attention-Based Task-Adaptive Fusion for Real-Time RGB-D Lettuce Morphological Analysis
  • Selected publications
    • TAHAF: Trait Adaptive Hierarchical Attention Fusion of RGB-D data for automated lettuce phenotyping in hydroponic systems
    • FruitsMultiNet: Deep neural network for fruit identification through multi-scale feature fusion
    • FruVeg_MultiNet: A hybrid deep learning-enabled IoT system for fruit and vegetable identification
    • Smart farming: Leveraging IoT and deep learning for sustainable tomato cultivation and pest management
    • AirNet: Predictive machine learning model for air quality forecasting
    • Hybrid feature fusion and CNN for melanoma skin cancer detection
    • BreastMultiNet: Multi-scale feature fusion for breast cancer detection
  • Academic biography
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  • CV and experience
  • Journal
  • Leadership and service
  • Lecture series
    • Practical deep learning
  • Peer Research Lab
  • Privacy
  • Research
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  • Teaching and lectures
  • Written lessons
    • Tensors and shapes
    • Training and evaluation
    • Working with RGB-D observations
Backlinks
  • CLFM: climate-informed representation learning
  • TAHAF: RGB-D plant phenotyping
  • Temporal amodal leaf completion
  • Academic biography
  • Leadership and service
  • Peer Research Lab
  • Research

Contact

· 1 min read

I welcome conversations about research collaboration, teaching, mentoring, and shared interests in computer vision and agricultural AI.

mrahma11@uwyo.edu

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Laramie, Wyoming, USA.

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