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Prediction of DDoS Attacks in Cloud Computing Environment using Deep Learning Algorithms

Paragoda Pathirana, Uthpala (2024)

"Cybersecurity has become an ever-evolving challenge, as the digital landscape becomes increasingly intertwined with daily life. Distributed Denial of Service (DDoS) is a type of cyber- attack that threatens the availability ...

Forecasting For the West Texas Intermediate Crude Oil Prices with Extreme Values Treatment

Jayasinghe, Thilina (2024)

"Crude oil, often called ""oil,"" is a fossil fuel and a naturally occurring liquid hydrocarbon found underground in different geological formations. It has various types of grades; the West Texas Intermediate Index was ...

Extreme Multi Label Classification for query-to-tag recommendation for food blog platform

Yapa, Thejani (2024)

"This research addresses the intricate domain of culinary, query-to-tag recommendation within the context of food blog platforms, with a specific focus on Extreme Multi-Label Classification (XMLC) techniques. The primary ...

Morphological Characteristics of Galaxies in Studying Galaxy Evolution via Optimising their Classification

Thillayampalam, Sujith (2024)

"In the beginning, the infinite state of energy released had been the source for the formation of stars, galaxies and other celestial bodies. Ever expanding universe has posed questions on its origin and evolution stages ...

Neural Categorizer - Detect Programming Framework-based Anomalies

Azmee, Sheik Shuhaib (2024)

"Every day, a lot of social information, experience, and material are exchanged online. Since this sharing, the quantity of user-generated material is also growing quickly, ushering in the ""age of big data."" Developers ...

AI-powered Ayurveda

Prabagaran, Shageesha (2024)

"Ayurveda, originating from Sri Lanka and India, is a centuries-old traditional holistic healthcare system deeply rooted in the belief of the interconnectedness of vitality and matter.Central to its philosophy are the ...

Enhanced Stock Price Prediction: A Fusion of Ensemble Machine Learning Models and Strategic Feature Engineering

Ganeshamoorthy, Seyone (2024)

In the ever-evolving world of financial markets, accurately predicting stock prices is a perpetual challenge. In our research, we've taken a two-pronged approach, combining traditional time series analysis with cutting-edge ...

Identifying factors causing fatal road Accidents in Sri Lanka using Social Media Posts

Talagala, Sachit (2024)

"Road accidents, a major cause of death and dismemberment in Sri Lanka is a serious issue that affects the livelihoods of its population as well as its economy. Despite various measures taken by law enforcement and government ...

Emotion Classification of Infants using Audio Signal Analysis

Fernando, Prince (2024)

The purpose of this research is to dive deep into infant emotion classification techniques on audio signals to classify infants’ emotions expressed in sound into comfortable or uncomfortable emotions. Audio data to be used ...

Machine Learning Model to Reduce Manual Data Corrections in Freight Rail Tracking Systems.

De Almeida, Palliyaralalage Don Anthony Gratien Devapriya (2024)

"The Freight Rail-Cargo Tracking system represents a pivotal evolution in the logistics and transportation industry. Historically, the movement of goods via rail has been integral to global trade, providing a cost-effective ...

Churn Prediction Framework for Telco Using Machine Learning

Rajapaksha, Nushan (2024)

"The telecommunication industry faces a significant challenge in retaining customers due to the increasing competition and customer choice. This research addresses this issue by developing an innovative hybrid machine ...

Wavelet-Based Feature Extraction for Environmental Sound Classification in Noisy Environment

Silva, Muthumuni (2024)

"This study explores the fast-developing field of Environmental Sound Classification (ESC), which carries vital implications for urban planning and environmental monitoring. The core contribution of this study lies in the ...

Smart Cities And Urban Analytics To Improve Urban Management Using Big Data Analysis

Gallage, Mihiraj Madhusanka (2024)

"Big Data is a transformative tool used in life enhancement by urban analytics in smart city transformation. Traffic management, Energy consumption, public safety & Improvement planning are considered as key aspects of ...

Hybrid Approach in Emotionally Classification of Sinhala Music using NLP and ML

Peiris, Malinda (2024)

"The historical musicology of Sri Lankan music binds with Sri Lankan's rich culture. The roots of Sri Lankan music began with Folk music around 1400 AD. Sri Lankan music considerably influenced Buddhist traditions with ...

TamilSpeech: Advancing TTS with Cutting-Edge Deep Learning Technologies

Siritharran, Kullaleeni (2024)

"This research focuses on the text to speech system for Tamil language with cutting edge deep learning technologies. The goal is to synthesize tamil speech for the given tamil text. Text-to-Speech (TTS) systems have ...

Framework to Mitigate Gender Bias When Detecting Hate Speech

Kumaresan, Keshav (2024)

"Hate speech has become a big concern in recent years, whether online or offline it’s destructive to many communities and societies. The unchecked circulation of hateful content can desensitize societies to absurd stereotypes, ...

Ensemble Model to Forecast Sri Lankan Stock Prices Using Macroeconomic Variables

Fernando, Kavishka (2024)

"The stock market plays a critical role in Sri Lanka’s economy, serving as a platform for businesses to raise capital and for investors to grow wealth. However, due to the inherent risks of stock market investments, making ...

K-Means algorithm enhancement for Retail Customer Segmentation using RFM Scoring.

Ranatunga, Jithmi (2024)

"Companies are aiming to improve their market share and profitability in the current competitive business environment. A crucial aspect of this endeavor involves dividing their customer base into ideal segments to enable ...

Music Genre Classification with Multiple Spectral Audio Features and Lyrics

Senadeera, Janitha (2024)

"Seamless access to online entertainment platforms has been immensely improved over the past decade with the advancement of information technology. Also, people now have access to online entertainment platforms at any ...

Extracting Interests from Social Media to solve Cold Start in Personalized POI Recommendation Systems

Naazir, Ibrahim (2024)

"The storage capacity of LBSN's have expanded mainly as result of an upsurge in visits and reviews. The prospective usefulness of such information in recommendation prompted the initiation of point of interest recommendation ...

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