Search Results - "Rupasingha, Rupasingha A. H. M."

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  1. 1

    Alleviating sparsity by specificity‐aware ontology‐based clustering for improving web service recommendation by Rupasingha, Rupasingha A. H. M., Paik, Incheon

    “…The rapid development of the Internet in recent years has led to a vast increase in the numbers of Web services, which challenge users' capability to find…”
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    Journal Article
  2. 2

    Improving Web Service Clustering through a Novel Ontology Generation Method by Domain Specificity by Rupasingha, Rupasingha A. H. M., Incheon Paik, Kumara, Banage T. G. S.

    “…In recent years, due to the growth of information on the internet, the number of available Web services has increased. Clustering Web services based on their…”
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    Conference Proceeding
  3. 3

    Identifying complex causal patterns in students' performance using machine learning by Silva, M. P. R. I. R., Rupasingha, R. A. H. M., Kumara, B. T. G. S.

    Published in Technology, pedagogy and education (01-01-2024)
    “…Today, in every academic institution as well as the university system assessing students' performance, identifying the uniqueness of each student and finding…”
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    Journal Article
  4. 4

    Improving Service Recommendation by Alleviating the Sparsity with a Novel Ontology-Based Clustering by Rupasingha, Rupasingha A. H. M., Paik, Incheon

    “…Web service recommendation in an efficient and accurate manner has become a significant tool with information overload and an increasingly urgent demand to…”
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    Conference Proceeding
  5. 5

    Sentiment analysis on google play store app users’ reviews based on deep learning approach by Samanmali, P. H. C., Rupasingha, R. A. H. M.

    Published in Multimedia tools and applications (2024)
    “…Most people are tending to download or purchase apps, as a result of globally spreading technologies and smartphone usability. The Google Play Store app market…”
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    Journal Article
  6. 6

    Evaluation of Web Service Recommendation Performance via Sparsity Alleviating by Specificity-Aware Ontology-Based Clustering by Rupasingha, Rupasingha A. H. M., Paik, Incheon

    “…With the development of information technology, considerable web services are published on the Internet rapidly in the last few years. It becomes a challenging…”
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    Conference Proceeding
  7. 7

    A deep learning based approach for classifying tweets related to online learning during the Covid-19 pandemic by Senadhira, K. I., Rupasingha, R. A. H. M., Kumara, B. T. G. S.

    Published in Education and information technologies (01-05-2024)
    “…The majority of educational institutions around the world have switched to online learning due to the COVID-19 pandemic. Since continuing education has become…”
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    Journal Article
  8. 8

    Analysis of Web Service Using Word Embedding by Deep Learning by Miyagi, Takeyuki, Rupasingha, Rupasingha A. H. M., Paik, Incheon

    “…Service discovery is important issue when providing value-added services by composition. Existing approaches such as keyword or ontology matching have…”
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    Conference Proceeding
  9. 9

    Domain-aware web service clustering based on ontology generation by text mining by Rupasingha, Rupasingha A. H. M., Incheon Paik, Kumara, Banage T. G. S., Akila S. Siriweera, T. H.

    “…According to the growth of the Web, the number of Web services is increased rapidly and efficient Web service discovery has become an important and challenging…”
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    Conference Proceeding
  10. 10

    Calculating web service similarity using ontology learning with machine learning by Rupasingha, Rupasingha A. H. M., Incheon Paik, Kumara, Banage T. G. S.

    “…The Web is a popular, easy and common way to propagate information today and according to the growth of the Web, Web service discovery has become a challenging…”
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    Conference Proceeding Journal Article
  11. 11

    Human Stress Detection Based on Sleeping Habits Using Machine Learning Algorithms by Jayawickrama, J. G., Rupasingha, R. A. H. M.

    “…Stress is a mental or emotional state brought on by demanding or unavoidable circumstances, also referred to as stressors. In order to prevent any unfavorable…”
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    Conference Proceeding
  12. 12

    Sentiment Analysis of Twitter Data on the Tourism Industry During the Covid-19 Pandemic by Priyamal, G. A. N., Rupasingha, R. A. H. M.

    “…In most countries, the tourist sector becomes one of the significant factors for economic change. When it comes to Sri Lanka, the country's economy has grown…”
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    Conference Proceeding
  13. 13

    Machine Learning Approach for Discovering Successful Books Based on the Achievement of Award-Winning by Wijekoon, S. M. S. T., Rupasingha, R. A. H. M.

    “…Many people are very interested in reading books. Some of them like to read books for various reasons like as a hobby or to learn something new. At present,…”
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    Conference Proceeding
  14. 14

    A Comparative Study of Clustering English News Articles Using Clustering Algorithms by Disayiram, N., Rupasingha, R. A. H. M.

    “…The news informs us of what is going on in the world. People nowadays read their interesting news on news websites. There are numerous categories of news. Each…”
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    Conference Proceeding
  15. 15

    A Comparative Study of Classifying English News Articles Using Machine Learning Algorithms by Disayiram, N., Rupasingha, R. A. H. M.

    “…Mainly news helps people to identify, what happened around them. News is imperative as a social gathering space as well, subsequently, daily papers either…”
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    Conference Proceeding
  16. 16

    Predicting Employee Preference of Teleworking Using Machine Learning Techniques in the Post COVID-19 Period in Sri Lanka by Abesiri, S. A. D. D., Rupasingha, R. A. H. M.

    “…Coronavirus Disease (COVID-19) is a new disease that has begun since December 2019. As COVID-19 continues to spread around the world, some governments around…”
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    Conference Proceeding
  17. 17

    Sentiment Analysis on Twitter Data Related to Online Learning During the Covid-19 Pandemic by Senadhira, K. I., Rupasingha, R. A. H. M., Kumara, B. T. G. S.

    “…With the outbreak of the Corona Virus Disease (COVID-19), nearly all educational associations throughout the world have been working tirelessly to supply…”
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    Conference Proceeding
  18. 18

    Classifying Documents based on Formal and Informal Writing Styles using Machine Learning Algorithms by Karunarathna, K. M. G. S., Rupasingha, R. A. H. M., Kumara, B. T. G. S.

    “…With the advancement of the field of education, sufficient information needed for education and most important things has become available on the internet…”
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    Conference Proceeding
  19. 19

    A Comparative Study of Predicting Students' Academic Performance Using Classification Algorithms by Silva, M. P. R. I. R., Rupasingha, R. A. H. M., Kumara, B. T. G. S.

    “…Depending on the different activities of the students, their target goals may change. There it is more important to identify the relation in their educational…”
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    Conference Proceeding
  20. 20

    The Relationship between Job Skills and the Level of Job Availability in the Information Technology Industry: An Analysis of Information Technology Job Market by Madusanka, H. A. G., Rupasingha, R. A. H. M.

    Published in Journal of Business and Technology (08-11-2022)
    “…According to the national statistics, the Information Technology (IT) industry provides massive rapidly growing strength of the workforce in Sri Lanka. When…”
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    Journal Article