• 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 ...
• 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 ...
• 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 ...
• Optimized Duplicate Question Detection in Programming Community Q&A Platforms using Semantic Hashing 

  Koswatte, Dehami Deshan; Hettiarachchi, Saman (IEEE, 2021)

  Duplicate Question Detection (DQD) in Programming Community Question & Answer (PCQA) platforms has been a highly prominent area of research in the recent past. A lot of studies use Semantic Text Similarity (STS) as a key ...
• AdaptText: A Novel Framework for Domain-Independent Automated Sinhala Text Classification 

  Kodithuwakku, Yathindra; Hettiarachchi, Saman (IEEE, 2021)

  Sinhala language is being the widely used language in Sri Lanka. With the advancement of internet usage in Sri Lanka, an incredible amount of Sinhala text data is being added to the internet. In order to manage, analyze ...
• Impact on JPEG Image Steganalysis using Transfer Learning 

  Padmasiri, Avishka Thushan; Hettiarachchi, Saman (IEEE, 2021)

  Image steganography is a convenient candidate for information hiding with the upsurge of using images on social media platforms and the internet. It is equally important that detecting these images through steganalysis so ...
• An Analysis of Face Recognition under Face Mask Occlusions 

  Hemathilaka, S; Aponso, A (Academy and Industry Research Collaboration Center (AIRCC), 2021)

  The face mask is an essential sanitaryware in daily lives growing during the pandemic period and is a big threat to current face recognition systems. The masks destroy a lot of details in a large area of face and it makes ...

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