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Browsing by Author "Poravi, Guhanathan"

Browsing by Author "Poravi, Guhanathan"

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  • An Analysis of the Features Considerable for NFT Recommendations 
    Piyadigama, Dinuka; Poravi, Guhanathan (IEEE, 2022)
    This research explores the methods that Non-fungible Token (NFT)s can be recommended to people who inter-act with NFT-marketplaces to explore NFTs of preference and similarity to what they have been searching for. While ...
  • Best of Breed ERP: A Dashboard for Strategic Decision Makers 
    Rizni, Mohamad Imaad; Poravi, Guhanathan (IEEE, 2018)
    The success of an Enterprise Resource Planning (ERP) system is measured by the Return On Investment (ROI) it brings about to a business. Data is the core of an ERP system regardless of whether the ERP system is a full ...
  • A Comparative Study of Link Analysis Algorithms 
    Palihawadana, Chamath; Poravi, Guhanathan (IEEE, 2018)
    With the advancement of technology, the internet has become a growing place with huge amounts of information. Retrieving information is not a hard task, but ranking the retrieved information according to the relevancy is ...
  • Comparative Study on Decentralized Cloud Collaboration (DCC) 
    Selvanathan, N.; Poravi, Guhanathan (University of Kelaniya, 2017)
    Modern day organisations and individuals use emails as a communication media and there exist workflows correlated to the email communication such as responding, forwarding and more complex workflows such as content analysis ...
  • Comparative Study on Decentralized Cloud Collaboration(DCC) 
    Selvanathan, Nikethan; Poravi, Guhanathan (IEEE, 2018)
    Cloud collaboration is a billion-dollar industry, for sharing, storing, and co-authoring files. In the current age of information technology, cloud collaboration expects to see a significant amount of growth, as more ...
  • Data Mining and Machine Learning in Cricket Match Outcome Prediction: Missing Links 
    Hatharasinghe, Manuka Maduranga; Poravi, Guhanathan (2019)
    Using Computer Intelligence to analyze and model the game of Cricket is a promising research area. The increased popularity and financial benefits have made Cricket an interesting sport to be subjected to statistical ...
  • DERAINIZER for Unpaired Single Image De-raining 
    Fernando, H; Ayoob, M; Poravi, Guhanathan (IEEE, 2021)
    Rain streaks are known to cause many performance or accuracy reductions in many computer vision systems. The problem of obstructing rain streaks is addressed within the domain of “De-raining”. De-raining is the process of ...
  • Evol-AutoNN: Evolutionary Automation of Neural Network 
    Sivapathasundaram, Janakan; Poravi, Guhanathan (IEEE, 2022)
    As the domain of data science keeps on growing it leads to the need for a tool that breaks the barriers for non-experts to get into the field of data science. In this paper, we introduce the project of automating the neural ...
  • Front End Development Automation Tool: Missing Features? 
    Walpola, Hasitha Hiran; Poravi, Guhanathan (2019)
    The automation of the front-end development process is a relatively new research area which has gained a more focus in the recent years. But the researchers have followed various approaches, differing in one another, and ...
  • Knowledge Extraction from Question and Answer Platforms on the Semantic Web: A Systematic Review of Technologies Available for Information Extraction 
    Weerakoon, Shayne; Poravi, Guhanathan (IEEE, 2018)
    Knowledge Extraction is the process of getting structured data from unstructured or semi-structured sources. Much research has been conducted in this field and applying these technologies to the web has become a key effort ...
  • A Predictive Model for the Global Cryptocurrency Market: A Holistic Approach to Predicting Cryptocurrency Prices 
    Wimalagunaratne, Minul; Poravi, Guhanathan (IEEE, 2018)
    The realm of cryptocurrency has grown exponentially over the past decade, with the most rapid advances seen in the past few years as more and more parties around the world recognize the value of holding digital assets ...
  • Recommender System for Generic User Preferences for Online Content 
    Raju, Shayan; Poravi, Guhanathan (IEEE, 2018)
    Most recommendation systems have been increasingly in development ever since the major content expanse on the World Wide Web and these recommendation systems serve as a way to handle the rate at which content is uploaded ...
  • Review of Black Orthodox Tea Suggestion Techniques 
    Nanayakkara, Udayanga Ranmal; Poravi, Guhanathan (2019)
    Tea Auction Center (TAC) is the place where the majority of the tea is sold. To enhance the quality and constancy, this auctioning procedure comes with a couple of problems. One noteworthy problem is that there need of 3 ...
  • A Review of Generative Image Modeling Techniques 
    Bombuwala, Gayashan; Poravi, Guhanathan (2019)
    Generative image modeling is an area of research in computer vision that many works has been conducted to address various issues that has been encountered in the domain. In this paper, we categorize review several works ...
  • A Review on Automated Machine Learning (AutoML) Systems 
    Nagarajah, Thiloshon; Poravi, Guhanathan (2019)
    Automated Machine Learning is a research area which has gained a lot of focus in the recent past. But the various approaches followed by researchers and what has been disclosed by the available work is neither properly ...
  • A Review on Automated Neural Network System for Tabular Data 
    Sivapathasundaram, Janakan; Poravi, Guhanathan (IEEE, 2021)
    Tabular data being one of the common types of datasets which are widely used in the various machine learning tasks. Though they are widely being used the best learning models are for these types of datasets in various tasks ...
  • A Review On Language Specific Multi Document Similarity Detection 
    Piyarathna, Achala; Poravi, Guhanathan (IEEE, 2019)
    Plagiarism is exploitation of others work and presents them as your own without referencing the original work. There are various detection tools that are being developed in order to detect these plagiarized content. Most ...
  • Review on Textual Data Mining for Reviewer Recommendation in Pull-Based Distributed Software Development 
    Rathnayake, Raveen Savinda; Poravi, Guhanathan (IEEE, 2019)
    Distributed Software development process has dramatically changed over the last decade due to the integration of social collaborative development environment. The pull-based software development methodology made its mark ...
  • Social Knowledge Mining from Question and Answer Platforms 
    Weerakoon, Shayne Darren Alexander (2018)
    Knowledge Extraction is the process of getting structured data from unstructured or semi structured sources. Knowledge extraction is a sub field under natural language processing and therefore most sources where knowledge ...
  • A Survey of Attack Instances of Cryptojacking Targeting Cloud Infrastructure 
    Jayasinghe, Keshani; Poravi, Guhanathan (ACM, 2020)
    Cryptojacking is the act of using an individual's or an organization's computational power in order to mine cryptocurrency. In some scenarios, this can be considered as a monetization strategy, very much similar to ...