output
20182026
most citedK8s Pro Sentinel: Extend Secret Security in Kubernetes Cluster

5 citations

15 papers

cs.DC2026

NimbusGuard: A Novel Framework for Proactive Kubernetes Autoscaling Using Deep Q-Networks

Chamath Wanigasooriya, Indrajith Ekanayake

Cloud native architecture is about building and running scalable microservice applications to take full advantage of the cloud environments. Managed Kubernetes is the powerhouse or…

cs.CL2026

Can Small Language Models Handle Context-Summarized Multi-Turn Customer-Service QA? A Synthetic Data-Driven Comparative Evaluation

Lakshan Cooray, Deshan Sumanathilaka, Pattigadapa Venkatesh Raju

Customer-service question answering (QA) systems increasingly rely on conversational language understanding. While Large Language Models (LLMs) achieve strong performance, their hi…

cs.CL2026

Script Sensitivity: Benchmarking Language Models on Unicode, Romanized and Mixed-Script Sinhala

Minuri Rajapakse, Ruvan Weerasinghe

The performance of Language Models (LMs) on low-resource, morphologically rich languages like Sinhala remains largely unexplored, particularly regarding script variation in digital…

cs.LG2025

A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms

Kanishka Hewageegana, Janani Harischandra, Nipuna Senanayake +3

This study investigates fraud detection in ride hailing platforms through Graph Neural Networks (GNNs),focusing on the effectiveness of various models. By analyzing prevalent fraud…

cs.SE2025

SHERLOCK: A Deep Learning Approach To Detect Software Vulnerabilities

Saadh Jawwadh, Guhanathan Poravi

The increasing reliance on software in various applications has made the problem of software vulnerability detection more critical. Software vulnerabilities can lead to security br…

cs.AI2025

Explainability, risk modeling, and segmentation based customer churn analytics for personalized retention in e-commerce

Indrajith Ekanayake, Sanjula De Alwis

In online retail, customer acquisition typically incurs higher costs than customer retention, motivating firms to invest in churn analytics. However, many contemporary churn models…

cs.DC2025★ 2 cited

ARGO-SLSA: Software Supply Chain Security in Argo Workflows

Mohomed Thariq, Indrajith Ekanayake

Distributed systems widely adopt microservice architecture to handle growing complexity and scale. This approach breaks applications into independent, loosely coupled services. Kub…

cs.CL2025★ 2 cited

A Hybrid Architecture with Efficient Fine Tuning for Abstractive Patent Document Summarization

Nevidu Jayatilleke, Ruvan Weerasinghe

Automatic patent summarization approaches that help in the patent analysis and comprehension procedure are in high demand due to the colossal growth of innovations. The development…

cs.CL2025★ 5 cited

Advancements in Natural Language Processing for Automatic Text Summarization

Nevidu Jayatilleke, Ruvan Weerasinghe, Nipuna Senanayake

The substantial growth of textual content in diverse domains and platforms has led to a considerable need for Automatic Text Summarization (ATS) techniques that aid in the process…

cs.DC2024★ 5 cited

K8s Pro Sentinel: Extend Secret Security in Kubernetes Cluster

Kavindu Gunathilake, Indrajith Ekanayake

Microservice architecture is widely adopted among distributed systems. It follows the modular approach that decomposes large software applications into independent services. Kubern…

cs.SD2024★ 1 cited

Attention-Based Efficient Breath Sound Removal in Studio Audio Recordings

Nidula Elgiriyewithana, N. D. Kodikara

In this research, we present an innovative, parameter-efficient model that utilizes the attention U-Net architecture for the automatic detection and eradication of non-speech vocal…

cs.CL2024★ 3 cited

Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation

Lasal Jayawardena, Prasan Yapa

Over the past year, the field of Natural Language Generation (NLG) has experienced an exponential surge, largely due to the introduction of Large Language Models (LLMs). These mode…

cs.CL2024★ 3 cited

ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity

Lasal Jayawardena, Prasan Yapa

Paraphrase generation is a pivotal task in natural language processing (NLP). Existing datasets in the domain lack syntactic and lexical diversity, resulting in paraphrases that cl…

cs.CL2021

IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation

Samuel Cahyawijaya, Genta Indra Winata, Bryan Wilie +9

Natural language generation (NLG) benchmarks provide an important avenue to measure progress and develop better NLG systems. Unfortunately, the lack of publicly available NLG bench…

cs.CR2018

Trust-Based Identity Sharing For Token Grants

Kavindu Dodanduwa, Ishara Kaluthanthri

Authentication and authorization are two key elements of a software application. In modern day, OAuth 2.0 framework and OpenID Connect protocol are widely adopted standards fulfill…