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2024: Recent submissions

Now showing items 41-60 of 212

Cricket Bowling Technique Analysis Using Pose Estimation and Deep Neural Networks

Wijerathna, Shahiru (2024)

Now, human umpires watch the delivery and render an arbitrary ruling based on their interpretation of the rules to determine if a bowler's action was legal. This may result in errors and inconsistencies that affect the ...
Orphanage Management System using Blockchain

Peter, Sewwandi (2024)

"Orphanages worldwide are managing a rising number of orphans, mainly because of global pandemics like COVID-19. Current manual and paper-based orphanage management processes suffer from inefficiencies, a lack of transparency ...
EstiMate: Bridging the Gap between Agile Story Point Prediction and Project Management Platforms

Dissanayake, Seniya (2024)

"Effort estimation plays a major role in software development projects. When it comes to the agile estimation process, story point estimation plays an important role in defining the weights of product backlog tasks. Within ...
Book Recommendation System with Sentiment Analysis

Fernando, Senesh (2024)

In the age where the internet is the leading source of information recommendation systems are very common to be seen because of the available abundance of data. In this Research the author researches the currently available ...
Identification of Misinformation in News in Social Media

Kelyaniyangoda Gamage, Semini (2024)

Nowadays, social media platforms have become central to disseminating information, shaping public opinion, and influencing behavior in various areas. Sharing information and media with a large number of users is most ...
MediColor: Enhancing Grayscale Medical Image Diagnosis and Anomaly Detection

Rajbabu, Selvakanthan (2024)

"In healthcare, diagnosing medical images is crucial but often challenged by the poor quality of grayscale images, which lack the clarity and contrast needed to detect fine details and anomalies essential for accurate ...
QText: Model-Free Reinforcement Learning Approach for Text Data Augmentation

Hasalanka, Savinu (2024)

Lack of rich datasets is a major concern in Artificial Intelligence (AI) and Machine learning (ML). Moreover, curating proper datasets is extremely time consuming and labour intensive. Data augmentation is a solid solution ...
AlzhiScan: A Novel Explainable AI-Focused Approach for Alzheimer’s Disease Detection Using MRI Images

Madapatha, Savin (2024)

"Alzheimer’s Disease (AD) is a major challenge in the medical field as the diagnosis process is time-consuming, labour-intensive, and prone to human error. The traditional diagnostic procedures heavily rely on manual ...
DesnowGAN - GAN Against Snow Corruptions for Camera Based BEV Detectors

Sirichandra, Sashin (2024)

"In snowy conditions, there is a lack of visibility for Bird’s Eye View Detectors, impacting the accuracy of the BEV Detectors. This issue is critical in applications like autonomous vehicles, where accurate environment ...
AttritionPro: An Employee Attrition Prediction System using Deep Learning Ensemble Techniques

Yusri, Sara (2024)

"Employee attrition is a problem that affects many organizations and companies. Many companies are actively strategizing and investing in employee retention strategies and experts in the field in order to retain their ...
Cryptify: Identifying Crypto Disinformation in Tweets Using Computational Techniques

Tissera, Sandaru (2024)

Disinformation in cryptocurrencies is a major concern in social media nowadays, especially in the platform X which is one of the most popular social media platforms used by crypto enthusiasts. Being a trending topic ...
Optimising Traffic Signal Control in the Colombo area through Reinforcement Learning

Kasthoori, Sandaru (2024)

"Traffic congestion is a major problem in Sri Lanka. It has been found that this has caused many negative effects on various aspects of the country. One of the main reasons for this is fixed-time phase-based traffic control, ...
A Novel Hybrid Deep Learning Approach for Cyber Security Intrusion Detection

Diwelgoda Gamage, Samitha Kalpana (2024)

This paper addresses the new challenge of develop a novel hybrid ANN model that will be effective in detecting the real time network anomalies. The entire system will be designed, developed, and evaluated within this ...
Optimising Agriculture supply Chain in Sri Lanka Using Machine Learning

Logus, Sajeewa (2024)

Abstract AgroMate is a comprehensive agricultural management system designed to optimise agrarian processes in Sri Lanka. With a focus on enhancing productivity and efficiency, AgroMate integrates advanced machine learning ...
Hybrid Approaches to Emotion Recognition: Combining Acoustic Features with Textual Sentiment Analysis

Wewelwala, Sahan (2024)

"With the covid outbreak online services became prominent for the smooth execution of day today services The quality of the service was a major concern to maintain the real rhythm of the services. Emotional recognition ...
AssessCataract : Ensemble Learning Approach for Cataract Severity Assessment using Digital Images

Ravindran, Sadurshan (2024)

"Cataracts, the primary cause of blindness globally, occur when protein structure of the lens becomes clumped together to form a white cloud that leads to gradual vision loss. While age is the primary risk factor, external ...
Customer-Wise Next Shopping Cart Predictor

Surendra, Sadesh (2024)

"The retail industry faces the complex challenge of predicting individual customers' future purchases, a task made difficult by the dynamic nature of consumer behaviour and the vast array of influencing factors. The CNSP ...
QuoteQuest: A Novel Approach for Image-Based Quote Recommendations

G.G.D.Sachithra Malshan, Sachithra (2024)

The combination of text and images in online communication has become essential in the digital age, especially on social media platforms where user engagement is dominated by images. Though automated image captioning ...
Transformers-Based Model for Forecasting Hourly Solar Power

Silva, Sachini (2024)

"The integration of renewable energy, particularly solar power, into the global power grid is critical to addressing environmental challenges. Accurate forecasting of solar power output from photovoltaic systems is essential ...
Machine Learning approach to identify Gemstones and their shape

De Silva, Sachin (2024)

"The gemstone business is filled with difficulties, particularly the widespread problem of distinguishing genuine gemstones from counterfeit imitations, which are frequently carefully made to look like the real thing. ...

Now showing items 41-60 of 212

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