MangoLeafBD: A Comprehensive Image Dataset to Classify Diseased and Healthy Mango Leaves

no code implementations • 27 Aug 2022 • Sarder Iftekhar Ahmed, Muhammad Ibrahim, Md. Nadim, Md. Mizanur Rahman, Maria Mehjabin Shejunti, Taskeed Jabid, Md. Sawkat Ali

Although the dataset is developed using mango leaves of Bangladesh only, since we deal with diseases that are common across many countries, this dataset is likely to be applicable to identify mango diseases in other countries as well, thereby boosting mango yield.

Vaccine efficacy and SARS CoV 2 control in California and USA during the session 2020 2026: A modeling study

no code implementations • 15 Sep 2021 • Md. Shahriar Mahmud, Md. Kamrujjaman, Md. Mashih Ibn Yasin Adan, Md. Alamgir Hossain, Md. Mizanur Rahman, Md. Shahidul Islam, Muhammad Mohebujjaman, Md. Mamun Molla

We simulated a five compartment mathematical model to analyze the pandemic scenario in both California, and whole U. S. We considered four vaccines, Pfizer, Moderna, AstraZeneca, and Johnson and Johnson, which are being used rigorously to control the COVID-19 pandemic, in addition with two special cases: a vaccine with 100% efficacy rate and no vaccine under use.

Ramifications and Diminution of Image Noise in Iris Recognition System

no code implementations • 8 Feb 2020 • Prajoy Podder, A. H. M Shahariar Parvez, Md. Mizanur Rahman, Tanvir Zaman Khan

Different filtering techniques can be adapted for noise diminution to develop the visual quality as well as understandability of images.

Iris Recognition