Conference Papers, Journal Articles: Recent submissions

Now showing items 1-20 of 166

Steel Frame Structure Defect Detection Using Image Processing and Artificial Intelligence

Baskaran, Rushanthi; Fernando, Pumudu (IEEE, 2021)

Steel Frame Structure Defect Detection is one of the main stages in constructing a building, where most of the time it has been done manually, which leads to no proper inspection. The aim of this paper is to detect six ...
E - Therapy Improvement Monitoring Platform for Depression using Facial Emotion Detection of Youth

Vimaleswaran, Brindahini; Ratnayake, Gayashini Shyanka (IEEE, 2021)

In today's generation depression is the most common mental health disorder which is mainly affecting many people's lifestyles especially the youth generation. There are lot of applications evolved for depression and recent ...
A Sinhala Natural Language Interface for Querying Databases Using Natural Language Processing

Peduru Hewa, Duneesha Suloshini; Farook, Cassim (IEEE, 2021)

In this paper, the author presents SinSQLFinder, a Sinhala natural language user interface for generating SQL queries. Data is the heart of the decision-making process in every business, every organization, every government ...
Hate Speech Detection in Sinhala-English Code-Mixed Language

Liyanage, Oshadhi; Jayakumar, Krishnakripa (IEEE, 2021)

With the steady increase of user-generated content on the internet, the amount of hate content on the internet is also being rapidly increased. Social media sites, review forums, microblogging sites encourage users to ...
Differential Diagnosis of Ringworm and Eczema Using Image Processing and Deep Learning

Nimesh, Venura; Weerasinghe, Rukshala (IEEE, 2021)

Misdiagnosis of dermatological disorders is an ordinary incident among both doctors and dermatologists around the world. Among them, misdiagnosis of common dermatological disorders is exceptionally high since these types ...
CBIAAT: Context Based Image Analyzer for Alzheimer’s Therapy

Kanthasamy, Gowryshankary; Aponso, Achala Chathuranga (Springer Nature Link, 2021)

Alzheimer’s is an irreversible progressive brain disorder which affects the Cognitive health of the older adults. Eventually it will destroy their memory, thinking abilities and destroy the ability to perform even a simple ...
Supervised Learning Approach for Detection of Sinhala Depressive Posts based on Twitter

Rathnayake, Lashini; Arachchige, Isuri Anuradha Nanomi (IEEE, 2021)

Depression is a common mental disorder and a treatable mental illness under a low cost if diagnosed at its early stage. But many of the affected people do not diagnose the disease at its early stage especially in Sri Lankan ...
Topic Classification using Active Learning for Sinhala Language Documents

Sameemdeen, Arshad; Selvanthan, Nikethan (IEEE, 2021)

In the field of Classifying Text data, Text Classification and Topic Modeling plays the higher role. When compared between the two techniques, Text Classification provides outputs with higher accuracy level. Due to this ...
An Extensive Survey of Machine Learning Based Approaches on Automated Pathology Detection in Chest X-Rays

Silva, Ravidu Suien Rammuni (IEEE, 2021)

Radiography is one of the most common and eminent medical imaging technologies in the world to date. Chest radiography is a very powerful and successful way of diagnosing thoracic diseases of humans. With the latest ...
A Review on Automated Neural Network System for Tabular Data

Sivapathasundaram, Janakan; Poravi, Guhanathan (IEEE, 2021)

Tabular data being one of the common types of datasets which are widely used in the various machine learning tasks. Though they are widely being used the best learning models are for these types of datasets in various tasks ...
A Review about Voice and UI Design Driven Approaches to Identify UI Elements and Generate UI Designs

Ellawela, Chaveen; Lakmali, K.B.N. (IEEE, 2021)

Designing a better user interface has become a vital section of software development. Since the requirements and UI design are based on humans it's hard to capture the right requirements. Natural language processing has ...
Generative Adversarial Networks Using Neural Architecture Search for Semantic Image Segmentation

Ganepola, Vayangi Vishmi Vishara (IEEE, 2021)

Semantic image segmentation is a crucial task in various fields that use computer-vision based applications. Generative Adversarial Networks (GANs) are attracting widespread interest in the data science community for their ...
Imperio: Cyber Foraging Framework for On-Device Inference based Mobile Applications

Wijayasekara, Vihanga Ashinsana; Vekneswaran, Prathieshna (IEEE, 2021)

Machine learning has become almost commonplace in almost all industries and every aspect of human life. Beyond that on-device AI has become a watershed in machine learning allowing devices to run machine learning models ...
A Secured Healthcare System Using Blockchain and Graph Theory

Mahima, K. T. Y.; Ginige, T.N.D.S. (ACM, 2021)

In the rapid growth of information technology(IT) the internet of things (IoT) devices, cloud services, and smart devices play a major role in the healthcare sector and they have led a digital transformation in the présent ...
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 ...
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 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 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 ...
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 ...
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 ...

Now showing items 1-20 of 166

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