{"id":894,"date":"2020-11-25T16:46:16","date_gmt":"2020-11-25T16:46:16","guid":{"rendered":"https:\/\/bauet.ac.bd\/cse\/research\/current-research\/"},"modified":"2020-12-21T22:30:39","modified_gmt":"2020-12-21T16:30:39","slug":"current-research","status":"publish","type":"page","link":"https:\/\/bauet.ac.bd\/cse\/research\/current-research\/","title":{"rendered":"Current Research"},"content":{"rendered":"

COVID-19 Detection from Chest X-Ray Image using Deep Convolutional Neural Network<\/p>\n

\n2019 is the year when the novel coronavirus scientifically known as SARS-Cov-2, spread
\ndrastically all over the world, killing millions of people worldwide. No effective antivirus has yet
\nto be discovered. Detecting the virus is crucial for preventing unfortunate deaths. This research
\nproposes a deep convolutional neural network-based model that achieves high accuracy and low
\nfalse-positive rate for detecting covid-19 from a chest x-ray image.\n<\/p>\n

\"\"<\/a><\/p>\n

High Performance Optical Character Recognition (OCR) Software for Digitizing Bengali Literature<\/p>\n

\nBengali, a widely used language spoken by more than 230 million people worldwide,
\nhas a huge inheritance in terms of literature. Almost all of those literature is not digitized. To
\npreserve those literature, and make the information indexed, we need an Optical Character
\nRecognition (OCR) software with high accuracy, so that these literatures can be digitized and
\nmake that information available for the mass people. This research aims at fulfilling this
\nobjective as almost no good OCR software is present for Bangla Language.
\n
\"\"<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"COVID-19 Detection from Chest X-Ray Image using Deep Convolutional Neural Network 2019 is the year when the novel coronavirus scientifically known as SARS-Cov-2, spread drastically all over the world, killing millions of people worldwide. No effective antivirus has yet to be discovered. Detecting the virus is crucial for preventing unfortunate deaths. This research proposes a […]","protected":false},"author":1,"featured_media":0,"parent":802,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-894","page","type-page","status-publish","hentry"],"yoast_head":"\nCurrent Research - Department of Computer Science and Engineering<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bauet.ac.bd\/cse\/research\/current-research\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Current Research - Department of Computer Science and Engineering\" \/>\n<meta property=\"og:description\" content=\"COVID-19 Detection from Chest X-Ray Image using Deep Convolutional Neural Network 2019 is the year when the novel coronavirus scientifically known as SARS-Cov-2, spread drastically all over the world, killing millions of people worldwide. No effective antivirus has yet to be discovered. Detecting the virus is crucial for preventing unfortunate deaths. 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