Browsing by Author "Alam, Khairul"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Functional assessment on security measures of The City Bank Ltd.
    (BRAC University, 1/18/2012) Alam, Khairul
    As entitled in the report, major concentration of the study is based on the functional aspects and practices of the Security & Protocol department of The City Bank Ltd. Thus all the contents discussed throughout the report are to highlight on the learning‟s that was gathered during the internship period in there. When it comes about financial organizations, the foremost subjects we think regarding business earnings, profit and loss statement figures. The sole purpose of any Banking organization is to do business and increase profitability but we don‟t consider the back office support of any such organization. Security & Protocol department is one such type of support unit belonging from the back office. Banking is all about doing and bringing business and to tighten up the bonding between the Bank & customer, security department play the vital role of ensuring the safety and security of customer‟s trust and assets. Security & protocol department‟s major areas of concentration are to ensure and implement all sorts of safety measures and take preventive measures for any type of urgency. As a financial organization, risk factor comes always at first and apart from the business risk calculation it is the duty of security department to deal with other types of internal and external risk factors. Ensuring physical guarding, electrical security appliances, fire safety measures, cash carrying and nonetheless protocol support during events like AGM, EGM, Board meeting and other sorts of business events are the most common operations performed by the Security & Protocol department of The City Bank Ltd. As a member of that department I have tried to describe all my observations and learning in this report that I have experienced there.
  • No Thumbnail Available
    Item
    Prediction of Pneumonia Disease of Newborn Baby Based on Statistical Analysis of Maternal Condition Using Machine Learning Approach
    (2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), IEEE, 2021-03-15) Hasan, Md. Mehedi; Faruk, Md. Omar; Biki, Bidesh Biswas; Riajuliislam, Md; Alam, Khairul; Shetu, Syeda Farjana
    Pneumonia is one of the common diseases amongst children in Bangladesh. Many children die from pneumonia in Bangladesh. Pneumonia is an infection that infects the air sacs in one or both lungs. In Bangladesh, nearly 50,000 children die of pneumonia every year. For diseases forecasting, Machine learning algorithms are popular and used extensively. Machine Learning allows us to fulfill such a task with much consequence. We established our dataset from the particular obtainable from our survey. For prognosticating pneumonia, we employed six traditional Machine Learning algorithms. They are K- Nearest Neighbor (KNN), Naive Bayes classifier, Decision Tree, Support Vector Machine (SVM), Neural Network algorithm, and Random Forest. For implementing these algorithms, we applied Scikit-leam, Pandas, NumPy, and for visualizing our data, we have used Matplotlib and seaborn. By proper interpretation, we considered the best performing algorithm for the prediction of pneumonia. We have measured to classify whether pneumonia declines under pneumonia (Positive) and pneumonia (Negative) class. Among all the algorithms, we have chosen the best algorithm which is provided us best accuracy and F1-score. By the best accomplishing algorithm, our model can predict pneumonia quite well.