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Browsing DEPARTMENT OF SOFTWARE ENGINEERING by Subject "Machine Learning"

Browsing DEPARTMENT OF SOFTWARE ENGINEERING by Subject "Machine Learning"

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  • Biplab, Ekramul Kabir; Trishna, Surovi Akter (Daffodil International University, 2019-05-11)
    Objective: The main goal of the study isto inspect the performance of three Supervised algorithms for improving the Parkinson disease diagnosis by detection. Methods: We used three machine learning techniques for the ...
  • AHMED, ISTIAK (Daffodil International University, 2024-01-21)
    Hearing loss is a barrier to living a normal life for the deaf. Approximately 2.6 million people in Bangladesh are suffering from hearing loss. For these people, sign language plays a very important role in communicating ...
  • Ahmed, Md. Razu (Daffodil International University, 2018-12-18)
    Objective: The aim of the study is to examine the performance of six Machine Learning algorithms for reducing the complexity and cost of chronic disease diagnosis by prediction. Methods: I used six machine learning ...
  • Toha, A. S. M. (Daffodil International University, 2024-01-21)
    Alzheimer's disease is a prevalent neurological condition affecting millions globally, necessitating early identification for effective management and timely intervention. Recently, deep learning techniques have emerged ...
  • Nasrin, Nadia (Daffodil International University, 2020-12-31)
    In this modern progressive world, everyone is suffering from some problem. Many people miss the track of solving their problems and are stuck in a maze. Then they get depressed or stressed over small things. Mostly, ...
  • Rafin, Mahedi Hassan (2024-01-20)
    This project aims to create a platform where students and researchers can explore various Artificial Intelligence used in games within simple environments. The idea for this project came about due to the lack of resources ...
  • Toma, Tamanna Kabir (Daffodil International University, 2024-01-20)
    This thesis discusses machine learning transformations in environmental contexts using a dataset that contains information about both historical and current environments. The dataset, which spans the years 2013 to 2022, ...
  • Islam, Majharul (Daffodil International University, 2020-12-31)
    In twenty first century, due to covid-19 pandemic the job sector has been absolutely shifted.Before starting and joining the job environment, company’s authorities should ensure job holders are psychologically qualified ...
  • WAHID, ZAMAN (Daffodil International University, 2018-12-24)
    Absenteeism at workplace plays a crucial factor in demonstrating the productive and profitable capacity of a company. Thus the knowledge of absenteeism of employees’ becomes the principle for an organization in its ...
  • Sakib, Ahsanul Hoque (Daffodil International University, 2020-12-17)
    Machine learning-based classification techniques help to solve the problem related to decision making. In many areas of price, prediction is used like housing price prediction, stock price prediction different classification ...
  • Zahinah, Jasiah (Daffodil International University, 2024-01-21)
    This thesis delves into the intricate landscape of user sentiments within Bangladeshi media streaming platforms, employing a comprehensive sentiment analysis methodology. With a focal point on the evolutionary trajectory ...

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