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Browsing by Subject "Dataset"

Browsing by Subject "Dataset"

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  • Building a Movie Recommendation System Using Non Negative Regularized Matrix Factorization on Movie Lens Dataset 
    Shafin, Shadman (Daffodil International University, 2018-12)
    Many E-commerce, Social Network, Entertainment sites uses recommendation system frequently to increase their revenue. There are various methods of recommending an item to a specific user. Collaborative filtering, content-based ...
  • Classification on Educational Performance Evaluation Dataset Using Feature Extraction Approach 
    Rahman, Majidur; Mahmud, Antara (ACM International Conference Proceeding Series, ACM Digital Library, 2020-01-10)
    With the drastic drive in population and economy of Bangladesh, the urgency of higher education of the mass is also extending. Moreover, due to scarcity of resources, financial support and many other convoluted circumstances, ...
  • A Comparative Study on Prediction of Dengue Fever Using Machine Learning Algorithm 
    Dourjoy, Saif Mahmud Khan; Rafi, Abu Mohammed Golam Rabbani; Tumpa, Zerin Nasrin; Saifuzzaman, Mohd. (Springer, 2021)
    Dengue is the most common viral fever for the people. This is also known as life-threatening disease. Dengue has become more and more evident this year in Bangladesh. It has taken the lives of many in our country. And the ...
  • Dataset of surface plasmon resonance based on photonic crystal fiber for chemical sensing applications 
    Khalek, Md. Abdul; Chakma, Sujan; Paul, Bikash Kumar; Ahmed, Kawsar (Elsevier Inc., 2018-05-18)
    In this research work a perfectly circular lattice Photonic Crystal Fiber (PCF) based surface Plasmon resonance (SPR) based sensor has been proposed. The investigation process has been successfully carried out using finite ...
  • Eczemanet 
    Junayed, Masum Shah; Noman, Abu; Sakib, Md; Anjum, Nipa; Islam, Md Baharul; Jeny, Afsana Ahsan (2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), IEEE, 2021-02-01)
    Eczema is the most common among all types of skin diseases. A solution for this disease is very crucial for patients to have better treatment. Eczema is usually detected manually by doctors or dermatologists. It is tough ...
  • Enhancing Sentiment Analysis using Machine Learning Predictive Models to Analyze Social Media Reviews on Junk Food 
    Ajmain, Moshfiqur Rahman; Khatun, Mst. Farhana; Bandan, Sheikh Sadi; Rejuan, Arifur Rahman; Ria, Nushrat Jahan; Noori, Sheak Rashed Haider (Daffodil International University, 2023-12-20)
    In the last few years, the Use of social media has increased immensely. People share different types of opinions on social media like Facebook posts, comments, tweets etc. Sentiment analysis involves the process of ...
  • Handwritten Changma Numerals Recognition Using Capsule Networks 
    Hasan, Md Zahid; Hasan, K. M. Zubair; Hossain, Shakhawat; Al Mamun, Abdullah; Assaduzzaman, Md (2019 5th International Conference on Advances in Electrical Engineering, IEEE, 2019-09-28)
    Handwritten digit recognition is assumed to be a huge part in numerous authentication applications in the state-of-art technologies. As the manually written digits are not always found in similar size, thickness, style and ...
  • Sentiment Classification in Bengali Linguistics Using Directed Machine Learning Techniques 
    Al Shihab, Shah (Daffodil International University, 22-09-13)
    Sentimental evaluating is part of NLP research (SA). This dataset was created by scraping information from social media. The contents are also carefully categorized into positive and negative categories. Another name for ...
  • Sentiment Classification in Bengali News Comments Using a Hybrid Approach with Glove 
    Saha, Uchchhwas; Mahmud, Md. Shihab; Chakrobortty, Aisharjo; Akter, Mst.Tuhin; Islam, MD Rakib; Marouf, Ahmed Al (Daffodil International University, 2022-05-14)
    Sentiment analysis (SA) is a greater part of Natural Language Processing (NLP) in the research field. Previously a lot of work was done by SA in various languages. Most of the work was done in the English language. A little ...
  • A Shallow Deep Learning Approach To Classify Skin Cancer Using Down-Scaling Method To Minimize Time and Space Complexity 
    Sidratul, Montaha; Azam, Sami; Rafid, A. K. M. Rakibul Haque; Islam, Sayma; Ghosh, Pronab; Jonkman, Mirjam (Daffodil International University, 2022-08-04)
    The complex feature characteristics and low contrast of cancer lesions, a high degree of inter-class resemblance between malignant and benign lesions, and the presence of various artifacts including hairs make automated ...

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