Shahriar Mamun

According to our database, Shahriar Mamun authored at least 9 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Performance Evaluation of Several Transfer Learning Models for Classification of Road Surface State.

Fahim Ur Rahman, Md. Tanvir Ahmed, Emran Khan, Md Mahfuzur Rahman, Shafin Ahamed, Shahriar Mamun, Md. Mehedi Hasan

Proceedings of the Computational Intelligence in Data Science, 2023

Forecasting Tea Production in the Context of Bangladesh Utilizing Machine Learning.

Abdullah Al Ryan, Silvia Kh Shuvessa, Shahriar Mamun, Habiba Dewan Arpita, Md. Sazzadur Ahamed

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Harvesting Insights: Unveiling the Future of Mango Yield Using Real-Time Bangladesh Climate Data by Supervised Machine Learning Approach.

Md. Mahfujur Rahman, Md. Sazzadur Ahamed, Lamia Binte Iqbal, Shahriar Mamun, Juliya Yasmin

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Predicting Sugarcane Yields using Supervised Learning: A Comparative Study.

Parvez Ahmed Papon, Md Mahfuzur Rahman, Shafin Ahamed, Shahriar Mamun, Md Zahirul Islam Mehadi, Ms. Johora Akter Polin

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

GingerBangla: A Supervised Machine Learning Approach for Predicting Ginger Yield using Bangladeshi Climate Data.

Lamia Binte Iqbal, Lamia Rukhsara, Md. Mahfujur Rahman, Shahriar Mamun

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

A Comprehensive Study of Sentiment Analysis on Covid19 Vaccine using ML and DL Based on Social Media Reaction of Bangladeshi People.

Shafin Ahamed, Md Hanzala Ahmed Hadi, Md. Pervej, Md. Ahad Ali, Md. Sazzadur Ahamed, Shahriar Mamun

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

An Approach using Machine Learning to Determine Bangladeshi Jute Yield relying on Weather Patterns.

Silvia Kh Shuvessa, Abdullah Al Ryan, Shahriar Mamun, Nusrat Nabi, Md. Sazzadur Ahamed

Proceedings of the 32nd International Conference on Computer Theory and Applications, 2022

OnionBangla: A Supervised Machine Learning Approach for Predicting Onion Yield using Bangladeshi Climate Data.

Lamia Binte Iqbal, Md. Mahfujur Rahman, Shahriar Mamun, Nusrat Nabi, Md. Sazzadur Ahamed

Proceedings of the 32nd International Conference on Computer Theory and Applications, 2022

JuteBangla: A Comparative Study on Jute Yield Prediction using Supervised Machine Learning Approach based on Bangladesh Perspective.

Shahriar Mamun, Silvia Kh Shuvessa, Abdullah Al Ryan, Nusrat Nabi, Md. Sazzadur Ahamed

Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022