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Browsing by Author "Chakraborty, Partha"

Browsing by Author "Chakraborty, Partha"

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  • A Comparative Study of Machine Learning Algorithms to Detect Cardiovascular Disease with Feature Selection Method 
    Ali, Md. Jubier; Das, Badhan Chandra; Saha, Suman; Biswas, Al Amin; Chakraborty, Partha (2022-08-22)
    Heart disease is considered one of the calamitous diseases which eventually leads to the death of a human, if not diagnosed earlier. Manually, detecting heart disease needs doing several tests. By analyzing the result of ...
  • Detection of Copy–Move Image Forgery Applying Robust Matching with K-D Tree Sorting 
    Chakraborty, Partha; Sayed, Md. Abu; Khatun, Mahmuda; Zulfiker, Md. Sabab; Paul, Priyanka; Hossain, Md. Farhad; Choudhury, Tanupriya (Daffodil International University, 2022-09-20)
    Digital images contribute significantly to the field of visualization. Using stronger technology, digital image forgery is easier. The most common method of image forgery is to re-create a portion of a person’s location ...
  • Predicting Insomnia Using Multilayer Stacked Ensemble Model 
    Zulfiker, Md. Sabab; Kabir, Nasrin; Biswas, Al Amin; Chakraborty, Partha (Scopus, 2021)
    Different forms of sleep disorders have become major health problems among people around the world, and insomnia is one of them. It is a physical condition in which a person faces difficulties to fall asleep at night. It ...
  • Predicting Students 
    Zulfiker, Md. Sabab; Kabir, Nasrin; Biswas, Al Amin; Chakraborty, Partha; Rahman, Md. Mahfujur (Scopus, 2020)
    Every year thousands of students get admitted into different universities in Bangladesh. Among them, a large number of students complete their graduation with low scoring results which affect their careers. By predicting ...
  • Sentiment Analysis of Bengali Facebook Data Using Classical and Deep Learning Approaches 
    Chakraborty, Partha; Nawar, Farah; Chowdhury, Humayra Afrin (Daffodil International University, 2022-02-17)
    Recently, sentiment analysis has been performed on various information on social media to derive market intelligence. As we know social media is filled with different content as a result audiences are interacting there ...

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