Computing and Technology: Recent submissions

Now showing items 41-60 of 258

Inherent variability assessment from sparse property data of overburden soils and intermediate geomaterials using random field approaches

Oluwatuyi, O. E.; Holt, R.; Rajapakshage, R.; Wulff, S. S.; Ng, K. (Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 2022)

This study assesses the inherent variability in the geomaterial parameter by quantifying the parameter uncertainty and develops a site investigation plan with a low degree of uncertainty. A key research motivation was ...
Grammatical Structure Oriented Automated Approach for Surface Knowledge Extraction from Open Domain Unstructured Text

Tissera, M.; Weerasinghe, R. (Journal of Information and Communication Convergence Engineering, 2022)

News in the form of web data generates increasingly large amounts of information as unstructured text. The capability of understanding the meaning of news is limited to humans; thus, it causes information overload. This ...
Parents' and Students’ Perceptions of the Education System of Sri Lanka

Manjaree HS, Bhagya; Tillekaratne, Aashani; Rupasinghe, Thilini P.; Liyanage, Laalitha S.I. (SLTC Research University, 2022)

Twenty-first-century skills such as critical thinking, communication, collaboration, and creativity, are widely accepted as skills in high demand within modern working environments. National school curricula reforms in ...
Impact of Climate Change and Variability on Spatiotemporal Variation of Forest Cover; World Heritage Sinharaja Rainforest, Sri Lanka

Samarasinghe, Jayanga T.; Gunathilake, Miyuru B.; Makubura, Randika K.; Arachchi, Shanika M.A.; Rathnayake, Upaka (Forest and Society, 2022)

Rainforests are continuously threatened by various anthropogenic activities. In addition, the ever-changing climate severely impacts the world’s rainforest cover. The consequences of these are paid back to human at a higher ...
Fog computing based ultrasound nerve segmentation system using deep learning for mIoT

Welhenge, Anuradhi (2022)

Internet of Things is an ever expanding field and applications can be used for medical field. Patient monitoring and diagnosis can be done with the help of IoT and the problems of storing large amount of data can be solved ...
Deep learning based breast cancer detection system using fog computing

Welhenge, Anuradhi (Journal of Discrete Mathematical Sciences & Cryptography, 2022)

Among the different types of cancers, more women are suffering from breast cancer. Breast cancer can be identified by mammograms or using ultrasounds. Early detection of the cancer can be used to minimize the complexities ...
Blood Pressure Estimation from Photoplethysmography with Motion Artifacts using Long Short Term Memory Network

Welhenge, Anuradhi; Taparugssanagorn, Attaphongse (Journal of Biomimetics, Biomaterials and Biomedical Engineering (Volume 54), 2022)

Continuous measurement of the Blood Pressure (BP) is important in hypertensive patientsand elderly population. Traditional cuff based methods are difficult to use since it is uncomfortable towear a cuff throughout the day. ...
Characterising the Mould Rectification Process for Designing Scoliosis Braces: Towards Automated Digital Design of 3D-Printed Braces

Sanz-Pena, I.; Arachchi, S.; Halwala-Vithanage, D.; Mallikarachchi, S.; Kirumbara-Liyanage, J.; McGregor, A.; Silva, P. (MDPI AG, 2021)

The plaster-casting method to create a scoliosis brace consists of mould generation and rectification to obtain the desired orthosis geometry. Alternative methods entail the use of 3D scanning and CAD/CAM. However, both ...
Obtaining Patient Torso Geometry for the Design of Scoliosis Braces. A Study of the Accuracy and Repeatability of Handheld 3D Scanners

Sanz-Pena, I.; Arachchi, S.; Curtis-Woodcock, N.; Silva, P.; McGregor, A. H.; Newell, N. (Prosthetics and orthotics international, 2022)

Objective: Obtaining patient geometry is crucial in scoliosis brace design for patients with adolescent idiopathic scoliosis. Advances in 3D scanning technologies provide the opportunity to obtain patient geometries quickly ...
Model for Integration of Technology in Authentic Education-An interpretation of a literature Review

Manjaree, Bhagya; Liyanage, Laalitha S.I.; Rupasinghe, Thilini P.; Tillekaratne, Aashani; de Silva, K.M.N. (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

This literature review is conducted to identify, appraise and synthesize empirical evidence of a filtered list of recent literature regarding methods in which technology could be integrated to facilitate authentic learning ...
UML System Model to Implement Authentic Learning in the 21st Century

Wickramasinghe, Manuja; Wijayarathna, Gamini; Ferenando, Kasun (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

The Pandemic situation demanded all universities to transform towards online teaching and learning as an alternative to face-to-face study through Technology Enabled Learning (TEL). In most developing countries, universities ...
Regularization Risk Factors of Suicide in Sri Lanka for Machine Learning

Delpitiya., D. M. A. U.; Kumarage, Prabha M.; Yogarajah, B.; Ratnarajah, Nagulan (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

Indication to World Health Organization, suicide is a major world public health concern that is in the top twenty leading causes of death worldwide. Sri Lanka is a country that has the highest suicidal rates in the globe. ...
Use of Early Semester Student Feedback for Enhancing Effectivness of Teaching and Learning

Nissanka, Indrajith D.; Nandasiri, Gayani K. (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

Student feedback in basic engineering modules is important, as the module involves the application of theory into practice. The feedback is used to assess the teaching and learning process at the end of the semester, which ...
Relationship between Demographic Factors and the Misuse of Recreational Drugs among the Students of the Faculty of Science of the University of Kelaniya

Dewanmini, Thanuja; Munasinghe, Harshana (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

Drug abuse has been identified as a global health issue. It can be identified as one of the root causes of destroying peoples’ lives and souls. This has a huge impact on their academic performance as well as the productivity ...
A Needs Analysis for English for Specific Purposes Online Course for Accounting: A Tertiary Level Sri Lankan Study

Randhuli, Imani (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

Curriculum designing has been considering English for Specific Purposes pertaining to many areas of study to be delivered online. Accounting is yet another area of study which comes under Management studies. The present ...
M-LMS Adoption Intention; Empirical Evidence from Postgraduates in Developing Context

Chandradasa, Isuru (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

Mobile learning is a widely used teaching and learning method and a Mobile learning management system is a part of the mobile learning process. During the pandemic period, the demand for mobile learning raised rapidly and ...
Open Educational Resources (OER) usage in learning: Perspectives of undergraduate students, University of Vocational Technology, Sri Lanka

Thenabadu, M.; Seneviratne, H.A. (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

Open Educational Resources has gained momentum during the past decade as a way of sharing educational resources with the learning community. This initiative has been very influential in changing the learning culture of ...
Road Accident Severity Prediction in Mauritius using Supervised Machine Learning Algorithms

Sowdagur, Jameel Ahmad; Rozbully-Sowdagur, B. Tawheeda B; Suddul, Geerish (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

Road accidents with high severities are a major concern worldwide, imposing serious problems to the socio-economic development. Several techniques exist to analyse road traffic accidents to improve road safety performance. ...
Heart Disease Prediction Using Machine Learning Techniques: A Comparative Analysis

Gamage, L. (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

In today's world, heart disease is one of the leading causes of death. In clinical data analysis, predicting heart disease is a difficult task. Machine Learning (ML) helps assist with the decision-making and prediction of ...
Review on Decision Support Systems used for Resource Allocation in Health Crises

Diyasena, Deshanjali; Arambepola, Nimasha; Munasinghe, Lankeshwara (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)

A disaster or crisis can be stated as a serious disruption occurring for a certain period of time, which could cause loss of human lives, properties, and disrupt the day-to-day life of people. Managing such situations is ...

Now showing items 41-60 of 258

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