Research Papers - Dept of Information Technology

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/593

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Subject: search.filters.subject.Automation

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    PublicationEmbargo
    Moderate Automobile Accident Claim Process Automation Using Machine Learning
    (IEEE, 2021-01-27) Imaam, F; Subasinghe, A; Kasthuriarachchi, H; Fernando, S; Haddela, P. S; Pemadasa, N
    In modern-day, traditional automobile accident claim process struggles to keep up with the recurring automobile accidents and furthermore, the claim itself is a critical point in which the policyholder may decide to switch to a different automobile insurance provider. In this paper, the authors present a system which can be used to automate the processing of claims for automobiles which were involved in less severe accidents in a much quicker manner. The presented system comprises of four components, each with a model developed using computer vision or machine learning techniques to facilitate the automation process. The models are built and fine-tuned using transfer learning and ensemble learning techniques in order to determine the damaged component of the automobile, determine the make and model of the automobile, compute an accurate repair estimate and also compute the likeliness of the policyholder may churn, to ensure that the policyholder is satisfied with the appraised amount and will be retained by the insurance provider.
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    PublicationOpen Access
    Annotation Based Build Process Automation for Cyber Foraging Frameworks
    (KDU IRC, 2016) Vekneswaran, P; Dissanayake, N. R
    Cyber Foraging is a technique introduced to utilize the computing resources in the vicinity to improve the performance and the standby of the portable mobile devices. There have been various attempts to enable Cyber Foraging in smartphones, and they require lots of developer effort to offload the work from the applications in the mobile device, where the developers are required to do lots of code modifications or additions. We introduce an annotation based approach to automate the work offloading in a Cyber Foraging system to a greater extent, which requires minimal developer workload, through flexible technique. This can be refined in the future and be automated using machine learning algorithms, reducing developer effort furthermore.
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    PublicationOpen Access
    Annotation based Offload Automation Approach for Cyber Foraging Frameworks
    (General Sir John Kotelawala Defence University, 2016) Vekneswaran, P; Dissanayake, N. R
    Cyber Foraging is a technique introduced to utilize the computing resources in the vicinity to improve the performance and the standby of the portable mobile devices. There have been various attempts to enable Cyber Foraging in smartphones, and they require lots of developer effort to offload the work from the applications in the mobile device, where the developers are required to do lots of code modifications or additions. We introduce an annotation based approach to automate the work offloading in a Cyber Foraging system to a greater extent, which requires minimal developer workload, through flexible technique. This can be refined in the future and be automated using machine learning algorithms, reducing developer effort furthermore.