Banujan Kuhaneswaran

Banujan Kuhaneswaran received his Bachelor of Science degree in 2019 with the Second Class Upper Division from Sabaragamuwa University of Sri Lanka. He is currently attached to the Department of Computing and Information Systems as a Lecturer in Computer Science. His research interests include Data Mining, Knowledge Management, Ontology Modeling, Business Process Simulation.

Publications

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
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
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
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...
Prognostication of Crime Using Bagging Regression Model: A Case Study of London
Ashansa Kithmini Wijeratne, Nirubikaa Ravikumar, Pulasthi Mithila Bandara, Banujan Kuhaneswaran. © 2023. 17 pages.
Crime is a social and economic problem that affects a country's quality of day-to-day life and economic growth. However, analyzing and forecasting crime is not a...
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 Multifaceted Machine Learning Approach to Understand Road Accident Dynamics Using Twitter Data
Lakshan Dinesh, Banujan Kuhaneswaran, Nirubikaa Ravikumar. © 2023. 21 pages.
Road accidents, causing 1.35 billion deaths and 50 million injuries annually, are a significant global issue that demands timely detection and prevention. This study reviews...
Machine Learning-Based Sentiment Analysis of Mental Health-Related Tweets by Sri Lankan Twitter Users During the COVID-19 Pandemic
S. P. W. S. K. Karunarathna, U. A. Piumi Ishanka, Banujan Kuhaneswaran. © 2023. 21 pages.
The emergence of COVID-19 emanating from Wuhan, China in December 2019 has deeply affected society at every level, impacting areas like public health, social well-being, and...
An Ontology-Based Indigenous Knowledge Management Portal for Subfertility of Females
Thenuka Yogarajah, Kuhaneswaran Banujan, Shanmuganathan Vasanthapriyan. © 2022. 21 pages.
Subfertility in humans is the major problem in the technological world mostly by their habits and foods. There are many treatment methods for the subfertility of females, but the...
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
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
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
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...
Knowledge Transfer Between Senior and Novice Software Testers: A Qualitative Analysis in Sri Lankan Software Companies
Shanmuganathan Vasanthapriyan, Kuhaneswaran Banujan. © 2020. 16 pages.
Software testing is a sub-activity of software engineering, and it is also a knowledge-intensive activity. Software testing experts need to gather domain knowledge to be able to...
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...