Thilini V. Mahanama

University of Kelaniya · Department of Industrial Management

This systematic review critically examines the utilization of machine learning (ML) and deep learning (DL) techniques in detecting and predicting Dysgraphia through handwriting recognition. The primary research objective is to systematically assess the significance, contributions, performance, and limitations of recent technological advances in ide...

This systematic review provides a thorough analysis of the current state of AI-based image-processing models used in diagnosing and assessing the severity of skin diseases. The review synthesizes recent advancements in deep learning models, exploring various methodologies employed in dermatological image analysis. While significant progress has bee...

This systematic review delves into the significant advancements of deep learning techniques in real-time defect detection for fabric materials, a critical component of improving quality control in textile manufacturing. By providing an in-depth analysis of key methods, including Convolutional Neural Networks (CNNs), Generative Adversarial Networks...

The rise of artificial intelligence (AI) has revolutionized various domains, notably music composition, with tools like artificial intelligence virtual artist (AIVA) demonstrating remarkable capabilities. This study explores the emotional impact of AI-composed music, aiming to assess its competency to evoke emotions in listeners. To address it, thi...

The dynamic nature of the information technology (IT) industry presents a significant challenge for Sri Lankan IT undergraduates in choosing appropriate and rewarding career paths. The challenges include limited awareness, insufficient guidance, and skill mismatches in the competitive job market. To address them, this research develops a personaliz...

Bridging the gap between theoretical knowledge and practical application remains challenging in big data education. Our paper proposes a platform where students actively participate in a role-based learning (RBL) exercise designed to simulate real-world big data projects. This RBL exercise assigns each student participant to a business analyst role...

We examine the relationship between property losses caused by tornadoes and their physical parameters, namely the tornado path length and width, using data reported by the National Oceanic and Atmospheric Administration in the United States. We observe that the statistics of property losses cannot be described by a single distribution but rather by...

Bridging the gap between theoretical knowledge and practical application remains a challenge in big data education. Our paper proposes utilizing a platform where students actively participate in a role-based learning (RBL) exercise designed to simulate real-world big data projects. This RBL exercise assigns each student participant to a business an...

In the era of evolving music consumption, this systematic literature review researches the realm of predictive analytics for music streaming, specifically targeting Spotify's stream count prediction in Sri Lanka through machine learning methodologies. With streaming platforms shaping the music industry landscape, accurately predicting song populari...

In the world of musical creation, the integration of artificial intelligence (AI) represents a significant paradigm shift in emotional engagement. This research investigates the human emotional responses evoked when listening to AI-composed music. Focused on figuring out the emotional impact of AI-composed music, the study explores the complex rela...

This presentation reviews existing literature on the predictive analysis of song stream counts on Spotify using machine learning. It aims to identify key trends, methodologies, and gaps in current research. The presentation highlights the types of machine learning models used, common features for prediction, and performance metrics. It also discuss...

The write-off process in the apparel industry is the disposal of excess inventory raw materials to optimize the inventory. The apparel industry in Sri Lanka faces significant challenges in optimizing inventory write-off costs, which occur when surplus items are disposed of due to inaccurate forecasting, changes in the product order and product...

This study discusses how financial economic theory and its quantitative tools can be applied to create socioeconomic indices and develop a financial market for the so-called “socioeconomic well-being indices.” In this study, we quantify socioeconomic well-being by assigning a dollar value to the well-being factors of selected countries; this is ana...

Engaging students in classroom discussions is a conventional barrier for lecturers in Sri Lankan universities as students have practised passive learning over the years. Although some undergraduates wish to come out of their shells, they are not confident enough to either ask or answer questions in front of lecturers and their peers. In this resear...

In the modern connected era, the telecommunications sector plays a critical role in enabling efficient business operations across all industries. However, defaulting customers who fail to pay their dues after consuming services remain a significant challenge in the industry. Defaulters pose a risk to service providers, calling for measures to lesse...

The financial industry should be involved in mitigating the risk of downturns in the financial wellbeing indices around the world by implementing well-developed financial tools such as insurance instruments on the underlying wellbeing indices. We define a new quantitative measure of the wellbeing of a country's population for those countries using...

We examine the relationship between property losses caused by tornadoes and their physical parameters, namely the tornado path length and width, using data reported by the National Oceanic and Atmospheric Administration in the United States. We observe that the statistics of property losses cannot be described by a single distribution but rather by...

The rapid development of in vitro assays for toxicity assessment has provided a tremendous oppor-tunity to improve toxicity risk assessment by utilizing assays more relevant to human biology while reducing the reliance on animals. However, important challenges still exist for the effective use of in vitro assays in risk as-sessment practices. Altho...

The rapid development of in vitro assays for toxicity assessment has provided a tremendous opportunity to improve toxicity risk assessment by utilizing assays more relevant to human biology while reducing the reliance on animals. However, important challenges still exist for the effective use of in vitro assays in risk assessment practices. Althoug...

The National Oceanic and Atmospheric Administration reports that the US annually sustains about 1,300 tornadoes. Currently, the Enhanced Fujita scale is used to categorize the severity of a tornado event based on a wind speed estimate. We propose the new Tornado Property Loss scale (TPL-Scale) to classify tornadoes based on associated damage costs....

Natural disasters, such as tornadoes, floods, and wildfire pose risks to life and property, requiring the intervention of insurance corporations. One of the most visible consequences of changing climate is an increase in the intensity and frequency of extreme weather events. The relative strengths of these disasters are far beyond the habitual seas...

Despite the potential importance of crime rates in investments, there are no indices dedicated to evaluating the financial impact of crime in the United States. As such, this paper presents an index-based insurance portfolio for crime in the United States by utilizing the financial losses reported by the Federal Bureau of Investigation. The objecti...

Crime can have a volatile impact on investments. Despite the potential importance of crime rates in investments, there are no indices dedicated to evaluating the financial impact of crime in the United States. As such, this paper presents an index-based insurance portfolio for crime in the United States by utilizing the financial losses reported by...

The National Oceanic and Atmospheric Administration reports that the U.S. annually sustains about 1,300 tornadoes. Currently, the Enhanced Fujita scale is used to categorize the severity of a tornado event based on a wind speed estimate. We propose the new Tornado Property Loss scale (TPL-Scale) to classify tornadoes based on associated damage cost...

Natural disasters, such as tornadoes, floods, and wildfire pose risks to life and property, requiring the intervention of insurance corporations. One of the most visible consequences of changing climate is an increase in the intensity and frequency of extreme weather events. The relative strengths of these disasters are far beyond the habitual seas...