Browsing Department of Physical Science by Document type "Conference abstract"

Browsing Department of Physical Science by Document type "Conference abstract"

Sort by: Order: Results:

  • Awareness of Banned Pesticide usage among Vegetable Grower’s and Health impacts in the Vavuniya District 
    Vijitharan, S.; Loganathan, P. (Faculty of Agriculture, University of Jaffna, Sri Lanka., 15-10-15)
    Pesticides kill or deter the destructive activity of the target organism and they posses’ inherent toxicities that endanger the health of the farmers, consumers and the environment. The objectives of this study were to ...
  • Combining Lasso and Liu type estimator in the linear regression model 
    Kayanan, M.; Wijekoon, P. (International Statistical Institute, 21-08-19)
    The Ordinary Least Square Estimator (OLSE) has been widely used to estimate unknown parameters in the linear regression model. Since OLSE produces high variance on the estimates when multicollinearity exists among the ...
  • Comparison between r-d and r-k class estimators in Misspecified linear regression model 
    Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 08-09-17)
    A significance attention has been paid by researchers about misspecification due to excluding some relevant explanatory variables and multicollinearity among the explanatory variables in linear regression model. Several ...
  • Enhanced Symmetric Cryptography for IoT using Novel Random Secret Key Approach 
    Gopinath, S.; Nagulan, R. (IEEE, 2020-12-10)
    The deployment of IoT devices in different domains enables technical innovations and value-added services to users but also creates multiple requirements in terms of effective communication and security. IoT devices are ...
  • Extracting knowledge from Noise Information 
    Chowuraya, T.; Kirushanth, S.; Kabaso, B. (Academic Conference International (ACI), 2018-11-12)
    Information is an important part of creating knowledge. We live at a time when so much information is created. Unfortunately, much of the information is redundant. There is huge amount of online information in the form of ...
  • Infoshare: A Digital Governance Community platform for Knowledge Sharing 
    Xolani, V.; Kirushanth, S.; Boniface, K. (Academic Conference International (ACI), 2018-11-12)
    With the easy availability of mobile devices and affordable bandwidth, there has been a proliferation of sharing of perceived expert information, with unreliable source, which have often not been tested in a specialized ...
  • Mean square error comparison between ridge and lasso estimators in the Misspecified linear regression model 
    Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 09-11-18)
    It is well-known that the Ridge Estimator has been used as an alternative estimator for Ordinary Least Squared Estimator (OLSE) to handle multicollinearity problem in the linear regression model. However, it introduces ...
  • Modified Stochastic Restricted Ridge Estimator in Misspecified Linear Regression Model 
    Kayanan, M.; Wijekoon, P. (Institute of Applied Statistics, Sri Lanka, 28-12-18)
    Misspecification of the linear model due to omitting relevant explanatory variable from the model and multicollinearity among the explanatory variables are considered as two of the problems which are considered seriously ...
  • Multiclass classification approach to identify the stage of autism spectrum disorder 
    Kayanan, M.; Wijekoon, P. (Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka, 09-01-20)
    Autism Spectrum Disorder (ASD) is known as a neurodevelopmental disorder that affects communication, social interaction and behavioural skills. ASD affects the children at the age of two years old and continues lifelong. ...
  • Phase space theta error control with general explicit Runge-Kutta methods for dynamical systems 
    Thilaganathan, S.; Vigneswaran, R.; Samarathunga, D.M. (PGIS, 2019-10-11)
    Variable time-stepping algorithms are often used to solve the dynamical systems, defined by autonomous initial value ordinary differential equations =f, y(0)=y0 m, where f : is a Lipschitz continuous function. Standard ...
  • Restricted least angle regression algorithm for lasso 
    Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 11-10-19)
    Least Absolute Shrinkage and Selection Operator (LASSO) method has been used for variable selection in the linear regression model when multicollinearity exists among the predictor variables. A popular algorithm to find ...
  • SAMS: An IoT Solution for Attendance Management in Universities 
    Gopinath, S.; Nagulan, R. (IEEE, 2019-10-17)
    An autonomous and effective platform for students' attendance management is presented in this paper by using most of the advanced technologies of the IoT (Internet of Things), such as mobility, wireless network, fingerprint ...
  • Telematics and Road Safety 
    Kirushanth, S.; Kabaso, B. (IEEE, 2018-07-24)
    Road Safety is a major concern around the world. Telematics solutions have been available for more than a decade, and several studies have been done in the use of telematics data in road safety. However, these studies are ...
  • Weigh-in-motion Using Machine Learning and Telematics 
    Kirushnath, S.; Kabaso, B. (IEEE, 2018-07-24)
    Driving overloaded vehicle causes road infrastructural damages, accidents, air pollution by excessive fuel consumption, and unusual expenses. Measuring the gross weight of a vehicle on a particular road segment without ...

Search


Browse

My Account