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Browsing Project Report by Subject "Machine learning"

Browsing Project Report by Subject "Machine learning"

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  • Rabbani, Md Golam; Zaman, Sharmila; Hemel, Reaz Uddin (©Daffodil International University, 2022-01-13)
    Thalassemia is a genetic blood disease inherited from parents. It is the most common and concerning genetic disorder globally. Minor to major anemia and transfusion dependence is the main symptom of this disease. In South ...
  • Rabbani, Md Golam; Zaman, Sharmila; Hemel, Reaz Uddin (©Daffodil International University, 2022-01-13)
    Thalassemia is a genetic blood disease inherited from parents. It is the most common and concerning genetic disorder globally. Minor to major anemia and transfusion dependence is the main symptom of this disease. In South ...
  • Rabbani, Md Golam; Zaman, Sharmila; Hemel, Reaz Uddin (©Daffodil International University, 2022-01-13)
    Thalassemia is a genetic blood disease inherited from parents. It is the most common and concerning genetic disorder globally. Minor to major anemia and transfusion dependence is the main symptom of this disease. In South ...
  • Lemu, Jannatul Ferdaus (Daffodil International University, 23-01-29)
    The motive behind researching on “TIME SERIES ANALYSIS OF STOCK PRICE PREDICTION USING HYBRID DEEP LEARNING NEURAL NETWORK” is to explore the thoroughness of the historical financial data of a stock suffice to make cabbalistic ...
  • Sayem, Kazi Abu; Nayem, MD.; Chakma, Kajali; Hasan, A.S.M Monirul (Daffodil International University, 23-01-29)
    Rapid and precise disease detection can considerably boost the sustainable agricultural yield of tomato plants. The conventional method allows for human agricultural professionals to recognize irregularities in tomato ...
  • Rafsun, MD. Eshrar Hossain; Akash, MD. Atik Shariare; Swarna, Moriam Akter (Daffodil International University, 23-01-29)
    Tourism is a fast-growing industry and is the most demanding for psychological and physiological health. With the advancement of this sector, machine learning can improve both the financial and punctuality of tourists. ...
  • Kabir, MD Shariar; Hossain, MD Mossaddak (Daffodil International University, 23-02-18)
    This paper proposes a machine learning technique to detect Alzheimer's disease in Bangladesh. The proposed system comprises of three components. First, a set of demographics, clinical and laboratory data are collected from ...
  • Dowla, MD Mursalin; Ahmed, K. M. Nayem (Daffodil International University, 2022-01-02)
    Online platforms, mostly social media platforms have become a very important part of our life. We are very used to online content and sites. But many URLs lead us to fake sites. These are intentionally created to mislead ...
  • Sajal, Sk. Estiaque Ahmed; Foysol, Md. Walid (Daffodil International University, 23-02-13)
    Bangla Sign Language Detection system converts the Bangla sign language into text, so that deaf-mute people can communicate with ordinary people. Deaf-mute people are quite detached from society because there is a ...
  • Totonji, Ahmad; Sutradhar, Piyush Kanti; Hossen, MD. Shamim (Daffodil International University, 23-01-18)
    This is an age of Technology and no one can deny this fact. In this 4IR era people’s lives have changed significantly because of modern technologies. Now-a-days things have become possible which we could never think of ...
  • Rezwan, Tanvir; Islam, Mominul (23-01-29)
    Malware-based cyber-attacks are increasing and have advanced in sophistication across practically all networks. Attacks using sophisticated malware are also the most complex, which makes it difficult to detect them. Advanced ...
  • Mohammad, Abu Sayeed (Daffodil International University, 2024-01-01)
    Finding individualized and interesting music experiences has grown more difficult in a time when a wide ocean of musical stuff is easily accessible. This work analyzes the field of music recommendation using a web-based ...

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