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2020 – today
- 2023
[c9]Shafin Ahamed, Md Hanzala Ahmed Hadi, Md. Pervej, Md. Ahad Ali, Md. Sazzadur Ahamed, Shahriar Mamun:
A Comprehensive Study of Sentiment Analysis on Covid19 Vaccine using ML and DL Based on Social Media Reaction of Bangladeshi People. ICCCNT 2023: 1-6- [c8]Lamia Binte Iqbal, Lamia Rukhsara, Md. Mahfujur Rahman, Shahriar Mamun:
GingerBangla: A Supervised Machine Learning Approach for Predicting Ginger Yield using Bangladeshi Climate Data. ICCCNT 2023: 1-6 - [c7]Parvez Ahmed Papon, Md Mahfuzur Rahman, Shafin Ahamed, Shahriar Mamun, Md Zahirul Islam Mehadi, Ms. Johora Akter Polin:
Predicting Sugarcane Yields using Supervised Learning: A Comparative Study. ICCCNT 2023: 1-5 - [c6]Md. Mahfujur Rahman, Md. Sazzadur Ahamed, Lamia Binte Iqbal, Shahriar Mamun, Juliya Yasmin:
Harvesting Insights: Unveiling the Future of Mango Yield Using Real-Time Bangladesh Climate Data by Supervised Machine Learning Approach. ICCCNT 2023: 1-5 - [c5]Abdullah Al Ryan
, Silvia Kh Shuvessa, Shahriar Mamun, Habiba Dewan Arpita, Md. Sazzadur Ahamed:
Forecasting Tea Production in the Context of Bangladesh Utilizing Machine Learning. ICCCNT 2023: 1-5 - [c4]Fahim Ur Rahman, Md. Tanvir Ahmed, Emran Khan, Md Mahfuzur Rahman, Shafin Ahamed, Shahriar Mamun, Md. Mehedi Hasan:
Performance Evaluation of Several Transfer Learning Models for Classification of Road Surface State. ICCIDS 2023: 76-88 - 2022
- [c3]Shahriar Mamun, Silvia Kh Shuvessa, Abdullah Al Ryan, Nusrat Nabi, Md. Sazzadur Ahamed:
JuteBangla: A Comparative Study on Jute Yield Prediction using Supervised Machine Learning Approach based on Bangladesh Perspective. ICCCNT 2022: 1-5 - [c2]Silvia Kh Shuvessa, Abdullah Al Ryan, Shahriar Mamun, Nusrat Nabi, Md. Sazzadur Ahamed:
An Approach using Machine Learning to Determine Bangladeshi Jute Yield relying on Weather Patterns. ICCTA 2022: 104-109 - [c1]Lamia Binte Iqbal, Md. Mahfujur Rahman, Shahriar Mamun, Nusrat Nabi, Md. Sazzadur Ahamed:
OnionBangla: A Supervised Machine Learning Approach for Predicting Onion Yield using Bangladeshi Climate Data. ICCTA 2022: 110-115
Coauthor Index
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