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Browsing by Subject "Accuracy"

Browsing by Subject "Accuracy"

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  • Comparative Analysis to identify the best Classifier for Parkinson Prediction 
    Shamrat, F.M. Javed Mehedi; Bhowmik, Shohag Kumar; Sultana, Zakia; Hossain, Ahbab; Amina, Mahdia; Thapa, Sittal (Scopus, 2021)
    Parkinson disease has become one of the most common diseases among people over the age of 65. Neurodegenerative disease affects movement, speech and other cognitive abilities. Among patients, the symptoms vary at a different ...
  • Comparative Sentiment Analysis Using Difference Types of Machine Learning Algorithm 
    Hossain, Rakib; Ahamed, Fowjael; Zannat, Raihana; Rabbani, Md. Golam (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, IEEE, 2020-06-16)
    In today's world business are becoming online based. Companies sell their products and seek for consumer's feedback. When all the consumer writes their review about that's a product, It's becomes difficult to say that ...
  • 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 ...
  • Dengue fever anticipation: insights from advanced ml and deep learning models 
    Siam, A. K. M Fazlul Kobir (Daffodil International University, 2024-01-22)
    Recently, there has been a significant increase in the prevalence of physical illnesses, including dengue disease, drawing considerable attention due to its impact on a large population. The severity of the illness can ...
  • Identifying Fake Rice Using Computer Vision in Perspective of Bangladesh 
    Ridoy, Md. Asif Mahmud; Sarker, Md. Fahim; Datta, Shuvo; Sattar, Abdus (Scopus, 2021)
    Bangladesh is an agricultural country. Rice is one of the major agricultural products of this country. Rice is the staple food of most of the people in Bangladesh. As a result, there is a considerable demand for rice. So, ...
  • Implementation of Machine Learning Algorithms to Detect the Prognosis Rate of Kidney Disease 
    Shamrat, F.M. Javed Mehedi; Ghosh, Pronab; Sadek, Mahbubul Hasan; Kazi, Md. Aslam; Shultana, Shahana (2020 IEEE International Conference for Innovation in Technology (INOCON) , IEEE, 2020-11)
    The chronic kidney disease is the loss of kidney function. Often time, the symptoms of the disease is not noticeable and a significant amount of lives are lost annually due to the disease. Using machine learning algorithm ...
  • A Machine Learning Based Approach to Predict Cervical Cancer 
    Omar, Jubail Hossain (Daffodil International University, 2024-01-01)
    Recently, there has been a significant increase in the prevalence of physical illnesses, including cervical cancer disease, drawing considerable attention due to its impact on a large population. The severity of the ...
  • 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 ...
  • Mind-mapping: An effective technique to facilitate requirements engineering in agile software development View Document 
    Mahmud, Imran; Veneziano, Vito (IEEE Xplore, 2012-03-09)
    Merging agile with more traditional approaches in software development is a challenging task, especially when requirements are concerned: the main temptation is to let two opposite schools of thought become rigid in their ...

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