• Real-Time Monitoring of Gas Station Underground Fuel Tanks Using IoT Technology 

  Edirisinghe, KGJC; Amarasinghe, ASM; Heelibathdeniya, HANB (2024-09)

  The management of underground fuel storage in gas stations presents significant challenges, including imprecise level measurements, the absence of real-time monitoring capabilities, and potential safety hazards. ...

• Shifting Paradigms in Stakeholder Identification: Integrating Enhanced Use Case Tool with Automated Analysis 

  Pradeep, RMM (2024-09)

  In the domain of complex process automation, accurate stakeholder identification is critical. Nevertheless, the methods employed by requirement gathering professionals primarily focus on direct software users. This ...

• Optimizing Task Assignment for Teams of Robots Using Ant Colony Optimization 

  Wattegama, WGCPB; Galappaththi, K (2024-09)

  The rapid advancements in robotics and artificial intelligence have driven the growth of Multi- Robot Systems (MRS) and Teams of Robots (TOR), where collaboration is critical in domains like manufacturing, search ...

• Navigating future Careers: Design, Implementation, and Evaluation of an AI- driven Career Guidance System for IT Professionals in Sri Lanka 

  Induruwage, GN; Adithya, AMR; Vidanagama, DU (2024-09)

  In Sri Lanka's burgeoning IT landscape, the Future Entrepreneurship Management and Career Guidance System (FEMCGS), called NavigateFuture, is strategically crafted to address a pivotal challenge streamlining and ...

• Artificial Intelligence based Mobile Application for Interior Design in Sri Lanka 

  Dahanayake, DTN; Wanniarachchi, WAAM (2024-09)

  AI has revolutionized interior design, offering innovative tools for creating visually appealing and healthier spaces through applications. Even with this progress, many existing applications are not well-suited ...

• Multi-Agent Solution for Autonomous Home Automation 

  Edirisinghe, EMNMR; Fernando, HNM; Hettige, B (2024-09)

  Current advancements in home automation and power management are more powerful on hardware-based control systems, with a significant emphasis on Internet of Things technologies. These IoT systems typically interface ...

• AI Powered Couse Recommendation System for Private Education 

  Fernando, WBHS; Yakupitiya, KC (2024-09)

  In the context of private education, students face challenges in selecting suitable courses from an ever- expanding curriculum, often leading to confusion and suboptimal academic decisions. This study introduces an ...

• NutriMom: Image Processing Based Mobile Application for Empowering Pregnant Mothers in Sri Lanka with Health and Convenience 

  De Alwis, KAD; Vidanagama, DU (2024-09)

  The rapid progression of internet-based communication technology has brought about a profound transformation in society, with implications for health care, particularly for expectant mothers. The smartphone application ...

• A Comparative Analysis of Dog Emotion Prediction Using Full-Body and Facial Images with Transfer Learning 

  Konaduwage, DP; Sandaruwan, KD (2024-09)

  Prediction and recognition of animal emotions has become an interesting and challenging problem. This study proposed a transfer learning approach using computer vision techniques to predict dog emotions and comparing ...

• Deep Learning for Early Skin Cancer Detection: A Convolutional Neural Network Approach 

  Perera, NDEA; Lakmali, SMM; Yakupitiya, KC; Vidanage, BVKI (2024-09)

  Skin cancer diagnosis often involves a lengthy waiting period for biopsy results, leaving patients in uncertainty and at risk. A patient with a suspicious lesion may wait one to three weeks for biopsy results, impacting ...

• Rail Track Surface Defects Detection Using CNN 

  Karunarathna, RMLV; Mayurathan, B (2024-09)

  Railway transportation plays an important role in global transportation systems, providing efficient and rapid movement of passengers and goods. The safety and reliability of train travel heavily depend on the ...

• TanzaNote: First Step Towards Classification and Notation Generation for Sri Lankan Traditional Instruments, Gataberaya and Flute 

  Gamage, RDP; Hettige, B (2024-09)

  Sri Lanka has a rich history of music, with a wide variety of traditional instruments. However, a significant challenge in Sri Lankan music is the lack of software capable of identifying which traditional instruments ...

• Comprehensive Review of Mobile Personal Assistant (Chatbot) for Depression Patients a Using Emotion Recognition Using Large Language Model 

  Sarathchandra, AWTD; Vidanage, BVKI (2024-09)

  Depression is a common mental health issue that affects many people, often making them feel persistently sad or lose interest in activities. Despite its global impact, with 246 million people affected worldwide, ...

• Detecting AI-generated and Human-written Documents Using an Ensemble Learning Approach 

  Herath, HMDT; Rupasingha, RAHM (2024-09)

  Artificial Intelligence (AI) has revolutionized many parts of modern life including written content. Because of this reason, it is challenging to identify separate AI-generated documents and human-written documents. ...

• Harmonizing Business Process Re-Engineering, Industry 4.0 and Artificial Intelligence: Towards Sophisticated and Dynamic Business Processes 

  Gunasekara, HT; Nanayakkara, SA; Santhushni, DHS; Gunathilake, HRWP (2024-09)

  In an era where technology has profoundly infiltrated the dynamics of the business sphere, this study caters to the research problem of determining the possibility of effective integration of Business Process Reengineering ...

• Prediction of Coronary Artery Disease Using Artificial Neural Network 

  Dhananjaya, GK; Perera, JACA; Senarathne, GRA; Priyashan, JADI; Hettige, B (2024-09)

  Machine learning techniques offer powerful tools for early prediction and diagnosis of Coronary Artery Disease (CAD), a major cause of global mortality, by analyzing complex medical data to recognize patterns that ...

• Ethical Landscape of Artificial Intelligence: A Review 

  Gamage, HCT; Wijesinghe, PRD (2024-09)

  The rapid growth of artificial intelligence (AI) technologies raises critical ethical concerns, particularly regarding fairness, transparency, privacy, and accountability. This review synthesizes current research ...

• Autoencoder Empowered EEG Data Classification: A Self-Supervised Learning Approach 

  Bakmeedeniya, AHMTC; Wijayakoon, WBMSC; Ukgoda, UWHK (2024-09)

  Electroencephalogram (EEG) analysis plays a crucial role in understanding brain activity and diagnosing neurological conditions. Traditional methods often struggle with the complexity and high dimensionality of EEG ...

• Tense Identification in English Sentences Using an Ensemble Machine Learning Approach 

  Rathnayaka, IDTD; Rupasingha, RAHM (2024-09)

  For efficient communication, comprehension, and writing in a variety of contexts including academic papers, legal documents, and media documents proper use of tense is essential. Notwithstanding its significance, ...

• Classification of Research Papers Based on Their Subject Field Using an Ensemble Machine Learning Approach 

  Dilushika, GKE; Rupasingha, RAHM (2024-09)

  Research papers are the most important things for researchers and scholars. Scholars face the challenge of sifting through relevant research data to find papers that align with their educational interests. This ...

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