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Browsing Conference Papers 2019 by Title

Browsing Conference Papers 2019 by Title

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  • Automation of Team Formation in Software Development Projects in an Enterprise: What Needs to Improve? 
    Prashandi, W. A. C.; Kirupananda, Abarnah (2019)
    With the increasing advancement of economic globalization, optimization of human resource allocation plays a significant role in the development of software development enterprise as software development is a human-intensive ...
  • 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 ...
  • Development Centric Player Feedback Analysis for Video Games: A Review 
    Rajapakshe, Umendra (2019)
    Using player feedback found abundantly on the Internet to analyze and produce useful information for the development process of video games is a promising research area. A proper analysis of the feedback collected from the ...
  • 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 ...
  • Hybrid Approach for Enabling Hierarchical Fog Networks in an IoT Deployment 
    Jayawardene, Nuwan; Fernando, Pumudu (2019)
    More and more "Smart Devices" are coming online every year. These Smart Devices have the ability to communicate with other Smart Devices across the web, exchange information and make intelligent decisions. This influx of ...
  • An Intelligent Approach of Text-To-Speech Synthesizers for English and Sinhala Languages 
    Jayawardhana, Pabasara; Aponso, Achala; Krishnarajah, Naomi; Rathnayake, Amila (2019)
    This paper attempts to investigate novel Text-to-Speech algorithm based on Deep voice which is an attention based, fully convolutional mechanism. The procedure of producing speech synthesis involves with learning statistical ...
  • IoT Generic Frameworks: What Needs to Improve 
    Withana, Indunil; Farook, Cassim (IEEE, 2019)
    Internet of things (IoT) is one of the trending technologies which is available in the current technology world. The term IoT could be described as devices which could be connected via the internet. The number of devices ...
  • Psychopathy Prediction and Factorial Classification on Twitter Profiles 
    Gunasekara, Pavith Buddhima; Senaratne, Charitha (2019)
    There are different people with different personalities who interact on social media, there can be people with personality disorder and psychopaths. Human Language which created throughout communication may be representative ...
  • 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 Fog Network Implementations in Current IoT Products 
    Jayawardene, Nuwan; Fernando, Pumudu (2019)
    More and more "Smart devices" are coming online every year. These Smart Devices have the ability to communicate with other Smart Devices across the web, exchange information and make intelligent decisions. More connected ...
  • 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 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 ...

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