Applied

Bahari Data Research House (ABDRH)


The Applied Bahari Big Data, Machine Learning, Deep Learning; Laboratory invites you into a realm where innovation and technology intersect. As you step inside, you are greeted by a welcoming atmosphere that buzzes with excitement. This dynamic space serves as a hub for the practical application of machine learning, where ideas flourish and boundaries are pushed. Here, talented minds converge to collaborate, experiment, and unlock the potential of cutting-edge algorithms. From data analysis to predictive modeling, the laboratory is a playground for exploring the endless possibilities of artificial intelligence. Immerse yourself in this transformative environment and witness firsthand how machine learning is shaping the future



Recent News


May 1, 2023

Bangladeshi Traffic Sign Recognition and Classification using CNN with Different Kinds of Transfer Learning through a new (BTSRB) Dataset.



The main challenge of this research is collecting datasets from a country like Bangladesh, where no recognized dataset is available. When compared to another model, the accuracy of this model is greater than 91%. This paper emphasizes the significance of traffic sign recognition in expert systems and the necessity for a well-established dataset in nations where such resources are not readily available. Full paper here.



April 20, 2019

Tincidunt tortor aliquam nulla facilisi. Nunc scelerisque viverra mauris in



Read the paper here. Consequat semper viverra nam libero justo laoreet. Commodo odio aenean sed adipiscing diam donec.


October 2, 2018

Pretium lectus quam id leo in vitae turpis massa



Tristique senectus et netus et malesuada. Sed viverra tellus in hac habitasse platea dictumst vestibulum rhoncus. Read it here.



Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut sit amet ultrices velit habitasse platea



Aecenas consectetur vestibulum orci ut vulputate. Aenean cursus finibus pulvinar here.


Fusce tempor placerat felis, et placerat sapien lacinia sit amet




Aenean posuere, nulla ut placerat fringilla, dolor dolor pellentesque metus. Read the paper here.