Samantha Kumara

Banage T. G. S. Kumara received the bachelor’s degree in 2006 from Sabaragamuwa University of Sri Lanka. He received the master’s degree in 2010 from University of Peradeniya, Sri Lanka. Now he is a Ph.D student in School of Computer Science and Engineering, University of Aizu, Japan. His research interests include Semantic Web, Web Data Mining, Web Service Discovery and Composition.

Publications

Strengthening Post-Disaster Management Activities by Rating Social Media Corpus
Strengthening Post-Disaster Management Activities by Rating Social Media Corpus
Banujan Kuhaneswaran, Banage T. G. S. Kumara, Incheon Paik. © 2023. 19 pages.
In times of natural disasters such as floods, tsunamis, earthquakes, landslides, etc., people need information so that relief operations such as help can save many lives. The...
A Systematic Literature Review on the Application of Blockchain Technology in Biometric Analysis Focusing on DNA
A Systematic Literature Review on the Application of Blockchain Technology in Biometric Analysis Focusing on DNA
Dilshan Hasitha Fernando, Banujan Kuhaneswaran, B. T. G. S. Kumara. © 2023. 23 pages.
In the present world, we need a secured human identification system to identify humans. These kinds of systems will help forensics and the healthcare sector. But with the rapid...
Machine Learning Approach to Detect Online Shopping Addiction and Study the Influencing Factors for Addiction
Machine Learning Approach to Detect Online Shopping Addiction and Study the Influencing Factors for Addiction
Ambarile Gamaralalage Samindi Nawodya, Banujan Kuhaneswaran, B. T. G. S. Kumara. © 2023. 30 pages.
Due to busy lifestyles and technological development, online shopping has grown rapidly. At the same time, the tendency to become addicted to online shopping has increased. There...
Classification of Product Backlog Items in Agile Software Development Using Machine Learning
Classification of Product Backlog Items in Agile Software Development Using Machine Learning
Nirubikaa Ravikumar, Banujan Kuhaneswaran, Adeeba Saleem, Ashansa Kithmini Wijeratne, B. T. G. S. Kumara, G. A. C. A. Herath. © 2023. 24 pages.
In agile software development, product backlog items (PBI) are used to capture the user requirements prior to the product implementation. Many types of requirements can be...
Exploring Public Perceptions of COVID-19 Vaccine Adverse Effects Through Social Media Analysis
Exploring Public Perceptions of COVID-19 Vaccine Adverse Effects Through Social Media Analysis
Sanduni Nimanthika, Banujan Kuhaneswaran, Ashansa Kithmini Wijeratne, Samantha Kumara. © 2023. 28 pages.
This study examines social media content to identify adverse effects of COVID-19 vaccination as perceived by the public. Existing studies did not categorize tweets on vaccine...
A Machine Learning Approach to Classify the Telecommunication Customers Based on Their Profitability
A Machine Learning Approach to Classify the Telecommunication Customers Based on Their Profitability
Selvaratnam Mishoba, Kuhaneswaran Banujan, Senthan Prasanth, B. T. G. S. Kumara. © 2022. 25 pages.
Customer profitability is one of the most critical problems faced by businesses today. Keeping an existing customer is more valuable than gaining a new subscriber in the...
Deep Learning Approach for Detecting Customer Churn in Telecommunication Industry
Deep Learning Approach for Detecting Customer Churn in Telecommunication Industry
R. P. H. Liyanage, B. T. G. S. Kumara, Banujan Kuhaneswaran, Senthan Prasanth. © 2022. 20 pages.
In today's business world, customer turnover is a significant problem. Communications companies aren't exempt from these problems. Retaining consumers is more important...
Deep Neural Network-Based Crime Prediction Using Twitter Data
Deep Neural Network-Based Crime Prediction Using Twitter Data
Chamith Sandagiri, Banage T. G. S. Kumara, Banujan Kuhaneswaran. © 2021. 16 pages.
Crimes have affected the quality of life and economic growth of the country badly. The authors can identify the crime patterns and predict the crimes by detecting and analyzing...
Predicting the Future Research Gaps Using Hybrid Approach: Machine Learning and Ontology - A Case Study on Biodiversity
Predicting the Future Research Gaps Using Hybrid Approach: Machine Learning and Ontology - A Case Study on Biodiversity
Premisha Premananthan, Banujan Kuhaneswaran, Banage T. G. S. Kumara, Enoka P. Kudavidanage. © 2021. 19 pages.
Sri Lanka is one of the global biodiversity hotspots that contain a large variety of fauna and flora. But nowadays Sri Lankan wildlife has faced many issues because of poor...
Strengthening Post-Disaster Management Activities by Rating Social Media Corpus
Strengthening Post-Disaster Management Activities by Rating Social Media Corpus
Banujan Kuhaneswaran, Banage T. G. S. Kumara, Incheon Paik. © 2020. 17 pages.
In times of natural disasters such as floods, tsunamis, earthquakes, landslides, etc., people need information so that relief operations such as help can save many lives. The...
Context-Aware Web Service Clustering and Visualization
Context-Aware Web Service Clustering and Visualization
Banage T. G. S. Kumara, Incheon Paik, Yuichi Yaguchi. © 2020. 23 pages.
With the large number of web services now available via the internet, web service discovery has become a challenging and time-consuming task. Organizing web services into similar...
Multi-Level Web Service Clustering to Bootstrap the Web Service Discovery and Selection
Multi-Level Web Service Clustering to Bootstrap the Web Service Discovery and Selection
Banage T. G. S. Kumara, Incheon Paik, Koswatte R. C. Koswatte. © 2019. 25 pages.
Existing technologies for web services have been extended to give the value-added customized services to users through the service composition. Service composition consists of...
Clustering-Based Approach for Clustering Journals in Computer Science
Clustering-Based Approach for Clustering Journals in Computer Science
J. K. D. B. G. Jayaneththi, Banage T. G. S. Kumara. © 2019. 17 pages.
In the present scientific world, most of the authors of scientific literature are seeking effective ways to share their research findings with large peer groups. But finding a...
Hybrid Term-Similarity-Based Clustering Approach and Its Applications
Hybrid Term-Similarity-Based Clustering Approach and Its Applications
Banage T. G. S. Kumara, Incheon Paik, Koswatte R. C. Koswatte. © 2018. 27 pages.
With the large number of web services now available via the internet, service discovery, recommendation, and selection have become a challenging and time-consuming task....