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Now showing items 1-20 of 24

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 ...
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 ...
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 ...
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 ...
A Review on Edge Intelligence based Collaborative Learning Approaches

Welagedara, L; Harischandra, J; Jayawardene, N (IEEE, 2021)

Edge Intelligence (EI) based collaborative learning approaches have been researched in the recent years by several researchers. As majority of existing collaborative learning approaches are designed in the context of ...
Automated graph representation learning: a survey

Madurapperuma, S; Welihindha, S (IEEE, 2021)

Research on Graph Representation Learning has seen many innovations in the recent years given the close resemblance of real-world data to graphs and its already wide usage. Graph data are considerably more difficult to ...
DERAINIZER for Unpaired Single Image De-raining

Fernando, H; Ayoob, M; Poravi, Guhanathan (IEEE, 2021)

Rain streaks are known to cause many performance or accuracy reductions in many computer vision systems. The problem of obstructing rain streaks is addressed within the domain of “De-raining”. De-raining is the process of ...
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 ...
Neural Architecture Search for Generative Adversarial Networks: A Review

Buthgamumudalige, Vinula Uthsara; Wirasingha, Torin (IEEE, 2021)

Achieving competent image generation results in Generative Adversarial Networks (GANs) has been observed to be weighed down by barriers such as mode collapse and being error-prone, due to the time consumption, effort and ...
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 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 ...
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 ...
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 ...
SinTM - LDA and RAKE based Topic Modelling for Sinhala Language

Kumari, R.M.D.R; Hettiarachchi, Saman (IEEE, 2021)

The advancement of technology increased the usage of textual information in the world. Growing of such numerous types of unstructured and heterogeneous text data become hard to manage. Topic modelling is a technique that ...
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 ...
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 ...
Automating Generative Adversarial Networks using Neural Architecture Search: A Review

Ganepola, V V V; Wirasingha, T (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 ...

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