首页|Bangladesh University of Engineering and Technology Reports Findings in Machine Learning (The Rohingya refugee crisis in Bangladesh: assessing the impact on lan d use patterns and land surface temperature using machine learning)
Bangladesh University of Engineering and Technology Reports Findings in Machine Learning (The Rohingya refugee crisis in Bangladesh: assessing the impact on lan d use patterns and land surface temperature using machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating in Dhaka, Banglad esh, by NewsRx journalists, research stated, "Bangladesh, a thirdworld country with the seventh highest population density in the world, has always struggled t o ensure its residents' basic needs. But in recent years, the country is going t hrough a serious humanitarian and financial crisis that has been imposed by the neighboring country Myanmar which has forced the government to shelter almost a million Rohingya refugees in less than 3 years (2017-2020)." The news reporters obtained a quote from the research from the Bangladesh Univer sity of Engineering and Technology, "The government had no other option but to a cquire almost 24.1 km of forest areas only to construct refugee camps for the Ro hingyas which has led to catastrophic environmental outcomes. This study has ana lyzed the land use and land surface temperature pattern change of the Rohingya c amp area for the course of 1997 to 2022 with a 5-year interval rate. Future pred iction of the land use and temperature of Teknaf and Ukhiya was also done in thi s process using a machine learning algorithm for the years 2028 and 2034. The an alysis says that in the camp area, from 1997 to 2017, percentage of settlements increased from 5.28 to 11.91% but in 2022, it reached 70.09% . The same drastically changing trend has also been observed in the land surface temperature analysis. In the month of January, the average temperature increase d from 18.86 to 21.31 °C between 1997 and 2017. But in 2022. it was found that t he average temperature had increased up to 25.94 °C in only a blink of an eye."
DhakaBangladeshAsiaCyborgsEmergi ng TechnologiesMachine Learning
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