Browsing 2024 by Issue Date

TeaLeagGuard: Revolutionizing Tea Plant Disease Management through AI-powered Diagnosis and Tailored Solution for Enhanced Crop Yield and Sustainability

Rathnayaka, Janani Amanda (2024)

"Tea crops face threats from pathogens like bacteria, viruses, and fungi, leading to diseases that can harm yield and quality. Prompt identification of these diseases is crucial for effective prevention and maximizing tea ...

Smart Study: A Keyword-Driven Approach to Enhancing Assessment Management in eLearning

Fernando, Jaliya (2024)

In recent years, advancements in eLearning have underscored the need for more effective assessment management systems. This research introduces Smart Study, a keyword-driven application designed to address prevalent ...

Flood Management Platform for Multi-Dimensional Data Exploration and Big Data Analytics Based on Crowdsourcing

Jayarathna, Jaliya (2024)

"Flood disaster management critically depends on analyzing large amounts of data and integrating and processing data from multiple sources for effective decision-making and response. Without a specialized platform for flood ...

Multimodal Emotion Recognition and Emoji Generation System for Mental Health Monitoring and Emotion Awareness.

Senarathna, Janangi (2024)

"In the realm of mental health monitoring and emotion awareness, the integration of multimodal emotion recognition and emoji generation systems emerges as a promising avenue. This research endeavours to develop a comprehensive ...

Design of a M-Learning System for Enhancing English Speaking Proficiency in University Students

Pathirana, Harini (2024)

"English is one of the languages spoken by most people worldwide, making it recognized as a language of international communications. Although Sinhala is the primary language of Sri Lanka, fluency in English is equally ...

Privacy-preserved Multi-modal Infant Pose Analysis Using Late Feature Fusion Techniques

Dayarathna, Lochana (2024)

Infant pose estimation is useful in several medical applications and motion analysis tasks. Due to inherited limitations in this research domain, the research community is actively engaged in exploring different approaches ...

iTalk: A Conversational Chatbot with Personalized Voice Modulation for Emotional Aid

Arunthavarajah, Labeeshan (2024)

"The field of artificial intelligence has experienced notable progress, namely in the area of conversational interfaces. In light of the global need to enhance mental and emotional well-being, there arises a noteworthy ...

MercurX: Transaction Throughput Enhanced Permissioned Blockchain Based Solution for Capital Market Transaction and Settlement Automation

Perera, Isuru (2024)

The capital market efficient and scalable transaction processing is critical, due to the rapid and data-intensive nature of transactions. Traditional systems often struggle to handle the growing volume of trades, resulting ...

Explore Additional Performance Metrics in Message Queue

R K G Rupasinghe, Kavindu (2024)

"Traditional message queue performance evaluations focus mainly on latency and throughput, which may not provide a complete understanding of system capabilities in complex, distributed environments. This study extends the ...

AI Integrated application to identify lung cancers and colon cancers in cancer genome atlas (TCGA)

Nanayakkara, Dalani (2024)

"Colon cancer and lung cancer represent significant public health challenges globally, being leading causes of cancer-related mortality. Early detection plays a pivotal role in mitigating these burdens by facilitating ...

Transfer Learning in Aspect-Based Sentiment Analysis: Adapting Mental Health Insights to Enhance Product Reviews Evaluation

Chandrasena, Dinushka (2024)

"This study investigates enhancing sentiment analysis in product reviews by integrating insights from mental health discussions. While Aspect-Based Sentiment Analysis (ABSA) aims to associate sentiments with specific ...

Reinforcement Learning-Based Path Optimization for UAVs in Dynamic Environments with Simultaneous Multi-Object Interaction

Herath, Darshana (2024)

"The rapid advancement of Unmanned Aerial Vehicles (UAV) can be seen across various applications. Traditional path planning methods excel in static settings but falter in dynamic scenarios involving multiple moving ...

Robust Brain Tumor Detection through Ensemble Modeling of EfficientNet-B0, DenseNet201, and Xception

Dewanarayana, Bhashitha (2024)

"High accuracy and reliability are essential for the diagnosis and classification of brain tumors from medical imaging data, which is a crucial role in clinical diagnostics. In order to enhance brain tumor identification ...

Towards Safer Future: Ai-driven Chatbot for Advanced Prevention of Adolescent Suicide Incidents

Hemapriya, Hansamali (2024)

"Adolescent suicide is a pressing public health issue, and early detection and intervention are crucial in preventing such tragic incidents. Although digital interventions in mental health have the potential to increase ...

ContSt ViTal: Context Aware Software Vulnerability Detection using Deep Learning

Alwis, Chathumika (2024)

"Software Vulnerability Detection has been a topic of extensive research due to its significance in assuring that software systems are not vulnerable to exploits that can cause disruptions. Existing systems suffer from ...

A Monitoring System of an Effective Event-driven Big Data ETL Pipeline Architecture for a Shared Multi-Tenant News Aggregator on AWS Cloud

Jainulabdeen, Azeem (2024)

" The challenge of efficiently managing and processing large volumes of data has driven the demand for scalable, reliable, and flexible ETL (Extract, Transform, Load) solutions with excellent performance. Ensuring data ...

Enhancing MRI Image Segmentation Through Quantization and AI-Powered Algorithms for Clinical Efficiency

Bandarigoda, Pasindu (2024)

"MRI research opportunities per patient are constrained by limited scan time and data storage. MRI machines store a finite number of records, with hospitals exporting visualizations based on real-time processing parameters. ...

SinLyzer - A Smart Analyzer of Sinhala and Singlish Feedback and Comments in Social Media for Using Sentiment Analysis

Dayarathna, Piyumi (2024)

"In the contemporary digital age, the proliferation of social media platforms like Facebook and YouTube has facilitated unprecedented levels of interaction and content sharing among individuals worldwide. However, alongside ...

A Naive Bayes Ensemble Technique In Multi-Agent Enriched Intrusion Detection System For Securing IoT Infrastructure Against DDoS Attacks

Mansoor Mohamed, Mohamed Sakeel (2024)

"The Internet of Things (IoT) has improved sectors like healthcare and smart cities but also made them vulnerable to DDoS attacks. Traditional IDS are ineffective in IoT networks due to their diversity and resource-constraint ...

Ai-driven Suicide Early Prediction From Social Media

Uswatte Liyanage, Nipun Pramuditha (2024)

"This research endeavors to tackle the pressing issue of early identification of suicidal ideation in social media content, employing cutting-edge artificial intelligence and natural language processing techniques. With ...

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