Search Results - "Rahman, Md. Riazur"

Machine vision based local fish recognition by Sharmin, Israt, Islam, Nuzhat Farzana, Jahan, Israt, Ahmed Joye, Tasnem, Rahman, Md. Riazur, Habib, Md. Tarek

“…Bangladesh has its own abundance of water resources which helps to identify its customs that are related to freshwater fish. Due to environmental issues along…”
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Experimental and numerical study of inter-yarn friction affecting mechanism on ballistic performance of Twaron® fabric by Chu, Yanyan, Rahman, MD. Riazur, Min, Shengnan, Chen, Xiaogang

“…•The sol-gel treatments can achieve increase of inter-yarn friction with minor yarn mechanical property loss and weight increase.•Higher inter-yarn friction is…”
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An Advanced Method of Identification Fresh and Rotten Fruits using Different Convolutional Neural Networks by Miah, Md Sohel, Tasnuva, Tayeeba, Islam, Mirajul, Keya, Mumenunnessa, Rahman, Md. Riazur, Hossain, Syed Akhter

“…Fruit classification is crucial in various industries. This hierarchy helps vendors in different supermarkets to identify the species of fruit and also…”
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FoNet - Local Food Recognition Using Deep Residual Neural Networks by Jeny, Afsana Ahsan, Junayed, Masum Shah, Ahmed, Ikhtiar, Habib, Md. Tarek, Rahman, Md. Riazur

“…Food is an inseparable part of any culture of any country all over the world. Recognition ability for local foods reflects the cultural strength. Moreover, it…”
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A Computer Vision System for Bangladeshi Local Mango Breed Detection using Convolutional Neural Network (CNN) Models by Al Haque, A. S. M. Farhan, Rahman, Md. Riazur, Al Marouf, Ahmed, Khan, Md. Abbas Ali

“…Magnifera Indica, traditionally known as mango, is a drupe found around the world in over 500 species. India has produced 19.5 million metric tons of mango in…”
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Machine learning techniques for dental disease prediction by Rimi, Iffat Firozy, Arif, Md. Ariful Islam, Akter, Sharmin, Rahman, Md. Riazur, Islam, A. H. M. Saiful, Habib, Md. Tarek

“…Oral diseases are increasing at the same rate as infectious diseases and non-communicable diseases all over the world. More than eighty percent of the total…”
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