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Browsing by Author "Keya, Maria Sultana"

Browsing by Author "Keya, Maria Sultana"

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  • Comparison of Different Machine Learning Algorithm for Detecting Bankruptcy 
    Keya, Maria Sultana; Akter, Himu; Sozib, Md. Atiqur Rahman (Daffodil International University, 2021-01-15)
    There have been severe experiments from academics and merchandisers concerning models for Predicting bankruptcy. The paper propounds an extensive rethink of work done during 5 years in the petition of intellectual strategy ...
  • Comparison of Different Machine Learning Algorithms for Detecting Bankruptcy 
    Keya, Maria Sultana; Akter, Himu; Rahman, Md. Atiqur; Rahman, Md. Mahbobur; Emon, Minhaz Uddin; Zulfiker, Md. Sabab (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-01)
    There has been severe experiments from academics and merchandisers concerning models for Predicting bankruptcy. The paper propounds an extensive rethink of work done during 5 years in the petition of intellectual strategy ...
  • Comparison of Different Machine Learning Algorithms for Detecting Bankruptcy 
    Keya, Maria Sultana; Akter, Himu; Rahman, Md. Atiqur; Rahman, Md. Mahbobur; Emon, Minhaz Uddin (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-02-26)
    There has been severe experiments from academics and merchandisers concerning models for Predicting bankruptcy. The paper propounds an extensive rethink of work done during 5 years in the petition of intellectual strategy ...
  • Machine Learning Based Image Classification of Papaya Disease Recognition 
    Islam, Md. Ashiqul; Islam, Md. Shahriar; Hossen, Md. Sagar; Emon, Minhaz Uddin; Keya, Maria Sultana; Habib, Ahsan (2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, 2020-12-28)
    To help farmers and rural people of Bangladesh, many research works are proposed in the recent years to recognize the papaya diseases that takes a great deal of advantage in machine learning fields. This research is mainly ...
  • Measuring the Heart Attack Possibility using Different Types of Machine Learning Algorithms 
    Keya, Maria Sultana; Shamsojjaman, Muhammad; Hossain, Faruq; Akter, Farzana; Islam, Fakrul; Emon, Minhaz Uddin (International Conference on Artificial Intelligence and Smart Systems (ICAIS), IEEE, 2021-04-12)
    The heart seems to be a very complicated organ in human body. If some part of the heart has been seriously damaged, the remaining part of the heart will still remain functioning. But as a result of the injury, the heart ...
  • Performance Analysis of Chronic Kidney Disease through Machine Learning Approaches 
    Emon, Minhaz Uddin; Imran, Al Mahmud; Islam, Rakibul; Keya, Maria Sultana; Zannat, Raihana; Ohidujjaman, Ohidujjaman (Scopus, 2021)
    Data mining and machine learning play a vital role in health care and also medical information and detection, Now a day machine learning techniques use awareness of some major health risks such as diabetic prediction, brain ...
  • Performance Analysis of Diabetic Retinopathy Prediction Using Machine Learning Models 
    Emon, Minhaz Uddin; Zannat, Raihana; Khatun, Tania; Rahman, Mahfujur; Keya, Maria Sultana (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-02-26)
    Diabetic Retinopathy (DR) is a symptom of diabetes that affects the eyes. The blood vessels of the light tissue behind the eyes are damaged (retina). Machine Learning (ML) techniques play a vital role in computer aid ...
  • Performance Analysis of Machine Learning Approaches in Stroke Prediction 
    Emon, Minhaz Uddin; Keya, Maria Sultana; Meghla, Tamara Islam; Rahman, Md. Mahfujur; Al Mamun; M Shamim; Kaiser, M Shamim (Scopus, 2020-12-28)
    Most of strokes will occur due to an unexpected obstruction of courses by prompting both the brain and heart. Early awareness for different warning signs of stroke can minimize the stroke. This research work proposes an ...
  • Predicting Performance Analysis of Garments Women Working Status in Bangladesh Using Machine Learning Approaches 
    Keya, Maria Sultana; Emon, Minhaz Uddin; Akter, Himu; Imran, Md. Al Mahmud; Hassan, Md. Kamrul; Mojumdar, Mayen Uddin (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-02-26)
    Maria Sultana Keya, Minhaz Uddin Emon, Himu Akter, Md. Al Mahmud Imran, Md. Kamrul Hassan, Mayen Uddin Mojumdar Abstract: In Bangladesh, the garment industry has played an important role in economically uplifting a ...
  • Primary Stage of Diabetes Prediction Using Machine Learning Approaches 
    Emon, Minhaz Uddin; Keya, Maria Sultana; Kaiser, Md. Salman; islam, Md. Ariful; Tanha, Tabassum; Zulfiker, Md. Sabab (International Conference on Artificial Intelligence and Smart Systems (ICAIS), IEEE, 2021-04-12)
    As per the report of the World Health Organization (WHO), diabetes has become one of the rapidly expanding chronic diseases that has affected the life of 422 million people all over the world. The number of deaths in ...

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