"Peripheral Sensory Neuropathy (PSN) is a serious complication of Type 2 Diabetes Mellitus (T2DM) that can lead to severe health issues, including foot ulceration and amputation. This research aims to develop a predictive ...
"This study investigates the application of Machine Learning techniques in predicting the financial distress of Licensed Finance Companies (LFCs) operating in Sri Lanka. A variety of Machine Learning models including ...
"Supply chain networks are the backbone of the majority of businesses globally. Due to
the importance of supply chain networks, the entire global trading community is focused on
ensuring supply chain resilience and ...
"This research focuses on developing a predictive model to forecast future stock prices of
companies within the ""Materials"" industry listed in the “Colombo Stock Exchange”, by
leveraging financial ratios. Utilizing a ...
"The research is focused on studying to identify a suitable machine learning model to determine the
occupational health factors that affect the mental health of employees in the technological sector.
The study utilized ...
"The air freight forwarding industry plays a vital role in global trade by transporting high-value and time-sensitive shipments worldwide. However, predicting air freight rates has become increasingly complex due to market ...
"Auto visualization creating system which work with column header names to identify
columns through a classification model. Word Embeddings of columns names obtained
through clip-multilingual model & classification model ...
"The phenomenon of brain drain has garnered increasing attention due to its significant socio-economic implications, and especially in Sri Lanka due to the large plethora of migration the country has witnessed over the ...
"This study focuses on accurately forecasting daily peak electricity demand in Sri Lanka, a critical aspect of energy management. During peak hours, electricity generation relies heavily on thermal energy, which consumes ...
This research is conducted with the aim of developing a sophisticated demand forecasting system for the men's apparel industry in Sri Lanka using advanced machine learning techniques. The varieties estimated in this research ...
"Non-Performing Loans (NPLs) represent financial assets where borrowers fail to meet principal or interest payments for an extended period. Prolonged neglect of NPLs can erode a bank’s profitability due to increased loan ...
"Traditional aspect-based sentiment analysis involves extracting themes from unstructured data and tagging each review with keywords linked to the themes. However, this approach assigns the overall polarity of a review to ...
In the Sri Lankan logistics sector, the identification and selection of optimal suppliers play a crucial role in enhancing supply chain efficiency and competitiveness. Traditional supplier selection methods often lack the ...
In the food industry, sales forecasting is a crucial factor for the growth of the business. The
inventory control, waste reduction, customer satisfaction and other derivative problems hang
directly upon our ability for ...
"This study dives into the complexities of fraud job detection in imbalanced datasets, a common
problem in machine learning (ML) applications. Using a large dataset of fake and genuine job
advertisements, the study ...
"In today’s world, it is essential for businesses to understand how users behave on websites to improve marketing strategies and anticipate customer conversions. This study delves into the challenges that companies face ...
The stability of a country's financial system is pivotal for economic growth, with banks
serving as its backbone.However, recent challenges, including a rise in Non-Performing
Loans (NPLs), have necessitated proactive ...
This research navigates the intricate landscape of beverage demand forecasting, emphasizing the fusion of advanced machine learning techniques with ethical considerations in addressing real world business challenges. Chapter ...
"This research focuses into enhancing the quality of fundraising at ABC Company by
prioritizing potential donors based on data-driven techniques. The Random Forest algorithm was identified as the best-performing model ...
"This research focuses on automating the process of identifying mental distress among finance professionals in Sri Lanka using machine learning techniques. The objective is to develop an automated system that can detect ...