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Browsing Articles by Author "Siddiquee, Shah Md. Tanvir"

Browsing Articles by Author "Siddiquee, Shah Md. Tanvir"

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  • An Innovative Data Mining Approach for Determine Earthquake Probability Based on Linear Regression Algorithm 
    Khan, Thaharim; Majumder, Anup; Rabbani, Masud; Siddiquee, Shah Md. Tanvir (IEEE, 2019-02-22)
    Earthquake (EQ) causes many damages to our environment, this paper proposes a new approach to find the Earthquake probability (EQP) using linear regression (LR-EQP) is to minimize this extensive problem with the help of ...
  • An Overall Workflow of Deep Learning in Modern Technology 
    Khan, Thaharim; Rabbani, Masud; Siddiquee, Shah Md. Tanvir; Marouf, Ahmed Al (International Journal of Innovative Technology and Exploring Engineering, 2019-06)
    Modern technology blessed us with many amenities. Those invention of modern science has lessened our workload with many others flexibility. Modern technology has been growing up significantly after the implementation of ...
  • Recognizing Language and Emotional Tone from Music Lyrics Using IBM Watson Tone Analyzer 
    Marouf, Ahmed Al; Hossain, Rafayet; Sarker, Md. Rahmatul Kabir Rasel; Pandey, Bishwajeet; Siddiquee, Shah Md. Tanvir (Proceedings of 2019 3rd IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2023, IEEE, 2019-10-17)
    Music has a soothing impact on listener's mood and emotional states. Apart from the rhythm, sequence, instrumental effects on a song, lyrics could be considered as the most vital element. Lyricists' mood and affection ...
  • Skin Disease Recognition 
    Nawar, Anika; Sabuz, Noor Kibria; Siddiquee, Shah Md. Tanvir; Rabbani, Masud; Biswas, Al Amin; Majumder, Anup (2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), IEEE, 2021-06-03)
    Progressively a large number of people are being invaded by various types of skin diseases all over the world. With the help of modern medical equipment, it is very much easy to find out the diseases. But sometimes people ...

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