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Researcher at Research Department
Ask questions about Meherun Nesa's research, publications, and ongoing work
Developed and analyzed machine learning strategies to predict the outcome of undergraduate admission tests, contributing to improved admission processes.
Applied machine learning and explainable AI techniques to predict juvenile crime rates in Bangladesh, focusing on the impact of drug addiction.
Investigated traffic speed prediction and nearby road impact analysis using machine learning and ensemble explainable AI techniques, contributing to traffic management.
Studied the bioactivity of Solanum ferox L. against Tribolium castaneum adults, contributing to the field of insect pest control.
Evaluated the analgesic and hypoglycemic activities of Amaranthus blitum L. through in vivo and in silico methods.
Meherun Nesa is a researcher specializing in machine learning and AI applications, with a focus on traffic prediction, crime analysis, and insect pest control. Her work leverages advanced techniques to solve real-world problems and improve efficiency.
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