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Now showing items 1-16 of 16

ADAM- Anxiety Detection and Management: a Solution to Manage Anxiety at Workplaces and Improve Productivity

Mannapperuma, Dilara; Kirupananada, Abarna (IEEE, 2020)

This paper documents the research conducted for an application aiming to help employees from the IT industry in Sri Lanka to manage their anxiety. Anxiety in workplaces burdens a significant number of employees around the ...
Metadata model for supporting hierarchical Edge Device arrangements in an IoT deployment

Jayawardene, Nuwan; Fernando, Pumudu (IEEE, 2020)

An increasing number of "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. Measures ...
Review On Approaches for Theme Extraction and Sentence Ordering For Prioritization Of Journalistic Notes

Wijesinghe, Devon; Vidanage, Kaneeka (IEEE, 2020)

In the stages of pre-writing and writing of a news article, journalists require to process the gathered data to identify important points and events which will predominantly support the main theme of the news story. In ...
A recommender system for job seekers to show up companies based on their psychometric preferences and Company sentiment scores

Ashraff, Amunulla; Farhath, Fathima (IEEE, 2020)

Recent statistics show an increase in staff turnover which has negatively impacted the organization as well as the employee. The reasons being company culture, working flexibility (work from home opportunity), no learning ...
Use of Image Processing to minimize ICU transfer delays in Sri Lanka

Jayawardhane, B A G R; Abeykoon, Janice (IEEE, 2020)

The delay encountered when transferring a critical patient from a hospital ward to an Intensive Care Unit (ICU) is one of the ongoing problems encountered in the Sri Lankan health sector. ICU transfer delays have a significant ...
Organizational Factors that Affect the Software Quality A Case Study at the Engineering Division of a Selected Software Development Organization in Sri Lanka

Harischandra, Jayani; Hettiarachchi, Sunesh (IEEE, 2020)

The objective of this study is to identify the critical factors affecting the software quality at the engineering division of a selected software development organization in Sri Lanka. The purpose of the study is to identify ...
ShopLister – A Grocery List Management Application

Firoz, Abdulqader; Ratnayake, Gayashini (IEEE, 2020)

Shopping for grocery is a very essential part of human lives activity performed regularly. However, it can be observed that people spend very little time to plan and manage their grocery lists as this task is often considered ...
GoPlay - Sports Facility Reservation Application

Mendis, Oshan; Rathnayake, Gayashini (IEEE, 2020)
A Critical Analysis of Computer Aided Approaches for Skin Cancer Screening

Selvarasa, Minoj; Aponso, Achala (IEEE, 2020)

Skin Cancer is life-threatening when diagnosed at a later stage. Early detection of skin cancers such as melanoma indicates a higher survival rate for the patient. Non-computer aided tools were used in the past such as the ...
Critical Evaluation of Different Biomarkers and Machine-Learning-Based Approaches to Identify Dementia Disease in Early Stages

Gimhani, Gayakshika; Aponso, Achala Chathuranga; Krishnarajah, Naomi (Springer Nature Link, 2020)

Dementia is the loss of cognitive functioning and behavioural abilities to some extent. This is a major neurocognitive disorder which is a group of symptoms caused by other different conditions. Alzheimer’s disease has ...
Monetary Transaction Fraud Detection System Based on Machine Learning Strategies

Chandradeva, Lakshika Sammani; Amarasinghe, Thushara Madushanka; De Silva, Minoli; Aponso, Achala Chathuranga; Krishnarajah, Naomi (Springer Nature Link, 2020)

Fraud is a costly business problem which causes every organization to face huge loss. Fraud may lead to risk of financial loss and loss of the confidence of customers and stakeholders of the company. Cyber security teams ...
Machine Learning-Based Approaches for Location Based Dengue Prediction: Review

Kalansuriya, Chamalka Seneviratne; Aponso, Achala Chathuranga; Basukoski, Artie (Springer Nature Link, 2020)

Dengue is a fast-spreading viral disease which has no preventive medicine. Due to this infectious disease, almost half of the global population is at risk. Consequently, much research has been conducted using various medical ...
A Review of Techniques for Image Classification to Enhance Online Animal Adoption Speed

Jeyaraj, Pradeepa; Aponso, Achala (ACM, 2020)

Overpopulation of stray dogs and cats is a serious threat to human community since they transmit a dangerous viral infection called rabies. Therefore overpopulation of strays needs to be controlled. Strategies to control ...
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 ...
A Review on Deep Learning Based Image Classification of Plant Diseases

Muthukumarana, Praveen S.; Aponso, Achala C. (2020)

A large portion of agricultural crop yield is lost due to plant diseases. The impact of this is more severe in developing countries that do not have sufficient trained professionals to identify and treat diseases. Deep ...
A Review of Dynamic Scalability and Dynamic Scheduling in Cloud-Native Distributed Stream Processing Systems

Senthuran, Ambalavanar; Hettiarachchi, Saman (Springer Nature Link, 2020)

Scalability is one of the common goals addressed by distributed stream processing systems. Distributed stream processing systems execute streaming applications that are segmented and distributed among several nodes across ...

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