Browsing by Author "Ferdous, Munira"

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    A Classification Based Machine Learning Model to Predict Suicidal Thoughts
    (Daffodil International University, 2021-06-03) Ferdous, Munira; Debnath, Jui
    Suicide is an unnatural death and it becomes a major issue in Bangladesh. The World health organization report which is published in 2018, it says, Suicide Deaths in Bangladesh come across 9,544 deaths, or in percentage, it is 1.23% of entire deaths [1]. We aimed to develop a model that can predict suicidal thoughts, using a machine learning algorithm. It can prevent future risk of suicidal attempts. Dataset presents 15-46 years old people's thoughts, feelings, their regular activities, contains a total of 22 attributes and 441 instances. The classification process was performed using nine machine learning algorithms those are, Naive Bayes, KNN, Linear SVC (support vector classifier), Non-linear SVC, Random Forest Classifier (RFC), Decision Tree, Logistic Regression (LR), and Extreme Gradient Boosting (XGB) Classifier, Adaptive Boosting(Ada-boost) Classifier. The prediction model achieved a good performance. The highest accuracy achieved Random Forest Classifier (0.91). The area under the receiver operating characteristic curve (AUC)=0.9 for Random Forest Classifier. This study shows the probability that a machine learning approach can able to decrease suicide risk. Hopefully, this model will assist as a support for reducing future suicidal risk. The paper ends with a review of various practical issues, which may be explored to enhance model performance.
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    Air Pollution or Gases Behind Toxicity for People Awareness
    (Scopus, 2024) Ferdous, Munira; Mojumdar, Mayen Uddin; Chakraborty, Narayan Ranjan; Bhuiyan, Touhid
    A report by world quality showed Bangladesh was ranked the second most air polluted country in 2019. The PM2.5 intensity on typical was 83.3 µg per cubic meter. Forests and trees are being cut down for creating buildings. Deforestation impacts badly the air quality of Bangladesh. Another reason for air pollution is overpopulation. Dhaka is one of the most overpopulated cities in Bangladesh. Air quality in Dhaka is 200 micrograms per cubic meter. In this research, we’ve collected some of the most common and dangerous gases, their toxicity, and their effect on the human body. For a healthy atmosphere air quality should be in the range of Nitrogen (N2) 78.084, Oxygen (O2) it is 20.947, Argon (Ar) − 0.934, and Carbon dioxide (CO2) 0.0314 and the others. If the percentage is high then the air becomes polluted. In this paper, we show the main gases in the Dhaka area. We collected the data for CO2, CO, SO2, O3, NH2, and PM2.5 in Air for awarding about the pollution. The objective is to create public awareness through mobile applications or show air pollution’s impact on everyday life. This paper suggested working with govt. or non-govt. environmental organizations to carry out necessary steps.