Browsing by Author "Hossain, MD. Imran"

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    Damaged road detection using Image Processing and Deep Learning
    (BRAC University, 2022-01) Swadesh, Shimran Mahbub; Ahmed, Rifat; Hossain, MD. Imran; Rahman, MD. Raihan; Rodoshi, Ahnaf; Mostafa, Nafis
    Computer Science has evolved enormously in the last few decades. It has now far exceeded the Human and Computer interfaces. Its recent sights are scaling, measuring, object detection, etc. Image processing and deep learning have gone through many groundworks in the last few years. Our research paper, based on YOLO V4, LeNet-5, Retina Net, and Faster-RCNN algorithms, proves that these algorithms can detect damaged roads and analyze whether we can enhance any new ways to improve the damaged road detection in real-time. However, in a real-world scenario, it is essential to comprehend the various damages in taking the appropriate action. Thus automotive industries are looking forward to innovations that can increase the efficiency in damage categorization. Along with worldwide industrialization, road damage detection systems have become significantly important both in terms of maintenance and establishment. As the Artificial Intelligence sector is making a lot of progress, faulty road detection through Image Processing and Machine Learning has proved to be a flourishing technique. We can detect damaged roads within specific provisional categories with combinations of such technological stems. In our solution, we propose a futuristic deep learning method for object recognition with the help of four different algo rithms. More specifically, our approach uses a convolutional neural network to train our model with a large dataset solely made for the project and categorize the results into a set of damages along with its comparative analysis.
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    Flat Booking: An Android Based Application
    (23-01-29) Hossain, MD. Imran
    Our social structure is going to be simpler these days thanks to the advancement of technology. As you can see, we can get our daily necessities in a very short time online. But if we look at the current social system, we can see that Posters and signboards are hung on the walls to booking family homes and student or bachelor homes. And we waste time, money to put up signboards and posters in different places. To prevent these issues, using this platform is quite simple and practical. You can advertise your home for rent on this platform for free, and hundreds of people will see it. However, if the rental sign or signboard is lifted from the wall, they could suffer harm like becoming wet in the rain, losing another person's advertisement, being placed on top of another rental sign or signboard, etc. So, to avoid wasting this time and money we can booking homes online. You can find your favorite house now through "Flat booking" apps. Beautiful and pleasant environment family house small and big, bachelor, seat rent, all kinds of facilities for male and female jobbers, the biggest online platform in Bangladesh. Through our Facebook group or through our Google site: you can easily find your desired home advertisement.