Chowdhury Rafeed Rahman, Ruhul Amin, Swakkhar Shatabda, Md. Sadrul Islam Toaha
DNA N6-methylation (6mA) in Adenine nucleotide is a post replication modification responsible for many biological functions. Automated and accurate computational methods can help to identify 6mA sites in long genomes saving significant time and money. Our study develops a convolutional neural networ...
Md. Sadrul Islam Toaha, Sakib Bin Asad, Chowdhury Rafeed Rahman, Shafin Haque et al.
. Most city establishments of developing cities are digitally un-labeled because of the lack of automatic annotation systems. Hence location and trajectory services such as Google Maps, Uber etc remain un-derutilized in such cities. Accurate signboard detection in natural scene images is the foremos...
Md. Sadrul Islam Toaha, Chowdhury Rafeed Rahman, Sakib Bin Asad, Tashin Ahmed et al.
Automatic signboard region detection is the first step of information extraction about establishments from an image, especially when there is a complex background and multiple signboard regions are present in the image. Automatic signboard detection in Bangladesh is a challenging task because of low...
Chowdhury Rafeed Rahman, Ruhul Amin, Swakkhar Shatabda, Md. Sadrul Islam Toaha
ABSTRACT DNA N6-methylation (6mA) in Adenine nucleotide is a post replication modification responsible for many biological functions. Automated and accurate computational methods can help to identify 6mA sites in long genomes saving significant time and money. Our study develops a convolutional neur...
Md. Sadrul Islam Toaha, Sakib Bin Asad, Chowdhury Rafeed Rahman, S. M. Shahriar Haque et al.
<strong>Street View Signboard Objects (SVSO), a dataset that contains a total of 5000 signboard images of establishments. All images are in PNG file format with bit depth of 32 bits per pixel. The SVSO data includes signboard images of various shapes and colors from Dhaka, Chottogram, Sylhet, Mymens...
Md. Sadrul Islam Toaha, Sakib Bin Asad, Chowdhury Rafeed Rahman, S. M. Shahriar Haque et al.
<strong>Street View Signboard Objects (SVSO), a dataset that contains a total of 5000 signboard images of establishments. All images are in PNG file format with bit depth of 32 bits per pixel. The SVSO data includes signboard images of various shapes and colors from Dhaka, Chottogram, Sylhet, Mymens...