• 8th International Conference in Information Technology Research 2023 (Per Text) 

  Piyatilake, ITS; Thalagala, PD; Ganegoda, GU; Thanuja, ALARR; Dharmarathna, P [Conference-Full-text]
• Using multispectral uav imagery for marine debris detection in Sri Lanka 

  Velayuthan, P; Piyathilake, V; Athapaththu, K; Sandaruwan, D; Sayakkara, AP; Hettiarachchi, H [Conference-Full-text]

  Marine pollution is a significant issue in Sri Lanka, with the country being a major contributor to marine debris. Marine pollution has the potential to adversely impact marine and coastal biodiversity, as well as the ...
• Dominant color palette extraction in resumes using the new color pixel quantifier algorithm 

  Perera, NN; Warusawithana, SP; Weerasinghe, RL; Hindakaraldeniya, TM; Ganegoda, GU [Conference-Full-text]

  In the realm of resume analysis and enhancement, the extraction of dominant color palettes plays a pivotal role in assessing the visual impact of resumes. Existing methods designed for images with extensive color ranges ...
• Predicting the performance of electrical machines using machine learning 

  Manohar, VJ; Jha, SK [Conference-Full-text]

  Electrical machines play an important role in our day-to-day life. Electric machines like DC motors and 3- phase induction motors are essential systems and widely used in domestic, industrial and transportation systems. ...
• Personal loan default prediction and impact analysis of debt-to-income ratio 

  Rodrigo, KLS; Sandanayake, TC; Silva, ATP [Conference-Full-text]

  Loan defaults affect the financial sector, particularly impacting banks and lending institutions, resulting in a rise of non-performing assets and financial strain. To counteract this trend, traditional credit assessments ...
• Occlusion resilient similar-colored separable food item instance segmentation 

  Karannagoda, R; Perera, Y; Weiman, D; Fernando, S [Conference-Full-text]

  The task of recognizing non-Western and non- Chinese food items as well as accurately segmenting food item instances is a seldom researched and challenging task in the field of Computer Vision. Food items such as Sri ...
• Generating photographic face images from sketches: a study of gan-based approaches 

  Kovarthanan, K; Kumarasinghe, KMSJ [Conference-Full-text]

  Generative Adversarial Networks (GANs) have attracted a lot of attention in recent years due to their potential to advance various fields. The high generative quality of GANs has been harnessed for creating photographic ...
• Green insight: a novel approach to detecting and classifying macro nutrient deficiencies in paddy leaves. 

  Rathnayake, DMGD; Kumarasinghe, KMSJ; Rajapaksha, RMIK; Katuwawala, NKAC [Conference-Full-text]

  Macro nutrient deficiency in paddy leaves is a critical concern in agriculture that impacts crop yield, food security, and sustainable farming. Addressing nutrient deficiencies in paddy plants is vital for ensuring ...
• Riceguardnet: custom cnns for precise bacterial and fungal infection classification 

  Katuwawala, NKAC; Kumarasinghe, KMSJ; Rajapaksha, RMIK; Rathnayaka, DMGD [Conference-Full-text]

  Rice cultivation is a vital component of many nations’ agricultural landscapes, often relying on traditional knowledge passed down through generations. However, disease identification in rice crops presents challenges, ...
• Cross-vit: cross-attention vision transformer for image duplicate detection 

  Chandrasiri, MDN; Talagala, PD [Conference-Full-text]

  Duplicate detection in image databases has immense significance across diverse domains. Its utility transcends specific applications, adapting seamlessly to a range of use cases, either as a standalone process or an ...
• Resume content scoring and improvement suggestions using nlp and rule-based techniques 

  Weerasinghe, RL; Perera, NN; Warusawithana, SP; Hindakaraldeniya, TM; Ganegoda, GU [Conference-Full-text]

  Having a proper resume is very important for undergraduates or fresh graduates to find their dream job. But most of them find it difficult to prepare their resume properly by themselves. It often needs a third party to ...
• Resbot: a bi-lingual restaurant booking conversational artificial intelligence 

  Fernando, LKD; Ganegoda, GU [Conference-Full-text]

  AI-powered chatbots in the service industry enhance customer service and enable data-driven decisions. However, in a conversion, the user's input may not always align closely with the training examples, causing even ...
• Explainable ai techniques for deep convolutional neural network based plant disease identification 

  Kiriella, S; Fernando, S; Sumathipala, S; Udayakumara, EPN [Conference-Full-text]

  Deep learning-based computer vision has shown improved performance in image classification tasks. Due to the complexities of these models, they have been referred as opaque models. As a result, users need justifications ...
• Enhancing ddos attack detection via blending ensemble learning 

  Amalraj, CRJ; Madhusankha, PGG [Conference-Full-text]

  This research focuses on identifying DDoS attacks using an ensemble learning approach that incorporates blending techniques. We developed an innovative methodology by selecting the 21 most significant features from the ...
• Alzheimer’s disease prediction using clinical data approach 

  Perera, LRD; Ganegoda, GU [Conference-Full-text]

  Alzheimer's Disease (AD) is a progressive neurodegenerative condition that profoundly affects cognition and memory. Due to the absence of curative treatments, early detection and prediction are crucial for effective ...
• Alzheimer’s disease detection using blood gene expression data 

  Yasodya, GDS; Ganegoda, GU [Conference-Full-text]

  Alzheimer's disease is the most prevalent form of dementia with no established cure. Extensive research aims to comprehend its underlying mechanisms. Genetic insights are sought through gene expression data analysis, ...
• Performance improvement of proxy server cache management using web usage mining 

  Leenas, T; Caldera, HA [Conference-Full-text]

  In these modern industries, all sectors are transitioning from manual to web-oriented applications. Thus, the number of Internet users are increasing drastically. Therefore, there is a substantial traffic, which increases ...
• Modeling Sri Lankan gdp using macroeconomic indicators: an approach using principal component analysis 

  Karunarathne, AWSP; Piyatilake, ITS [Conference-Full-text]

  Economics is conventionally divided into two parts, namely, microeconomics and macroeconomics. While microeconomics delves into individual and business decisions, macroeconomics examines the broader decisions made at ...
• An agile project management supporting approach for estimating story points in user stories 

  Wanigasooriya Arachchi, KJ; Amalraj, CRJ [Conference-Full-text]

  While significant research has been conducted on software analytics for effort estimation in traditional software projects, limited attention has been given to estimation in agile projects, particularly in estimating ...
• Game-based analytical skills testing for graduate software engineering recruitment 

  Dasanayake, DWMNC; Sandanayake, TC; Premasiri, SMU [Conference-Full-text]

  Game-based recruitment is an emerging trend adopted by organizations globally, given its proven results in boosting candidate perceptions of the company and providing an improved recruitment experience. This paper ...

View more