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Browsing Research Publications by Subject "Machine learning"

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An adaptive yolo model for detection of faulty insulators in power transmission network using unmanned aerial vehicle

Ahnaf Shihab, ULM; Apsaan, MTMS; Fayas Ahamed, MH; Razeeya, MRE; Juhaniya, AIS [Conference-Full-text]

Effective monitoring and problem detection are thought necessary for assuring continuous power supply. This study developed a machine learning approach to detect and diagnose insulator failures in power transmission ...
Alzheimer’s disease detection using blood gene expression data

Yasodya, GDS; Ganegoda, GU [Conference-Full-text]

Alzheimer's disease is the most prevalent form of dementia with no established cure. Extensive research aims to comprehend its underlying mechanisms. Genetic insights are sought through gene expression data analysis, ...
Alzheimer’s disease prediction using clinical data approach

Perera, LRD; Ganegoda, GU [Conference-Full-text]

Alzheimer's Disease (AD) is a progressive neurodegenerative condition that profoundly affects cognition and memory. Due to the absence of curative treatments, early detection and prediction are crucial for effective ...
Application of machine learning algorithms for predicting vegetation related outages in power distribution systems

Melagoda, AU; Karunarathna, TDLP; Nisaharan, G; Amarasinghe, PAGM; Abeygunawardane, SK [Conference-Full-text]

A large number of faults in power distribution systems is caused due to vegetation growing near power lines. Therefore, to maintain high system reliability, outages should be prevented as much as possible before they occur. ...
Automatic diagnosis of diabetic retinopathy using machine learning: a review

Gunawardhana, PL; Jayathilake, R; Withanage, Y; Ganegoda, GU [Conference-Full-text]

Diabetic Retinopathy is a popular cause of diabetes, causing vision-impacting lesions of the retina. Blindness may be avoided by early detection. The ophthalmologist's manual approach of diagnosing diabetic retinopathy is ...
Blockchain & machine learning based secure personal medical record storage and sharing platform - datablock

Sharmilan, S; Farook, C [Conference-Full-text]

Data is the most important part of machine learning. In the bioinformatics field, the sensitivity of the data is high and due to that, the accessibility of the data for a secondary purpose (e.g.: research) consists of many ...
Comparative analysis of artificial neural network and multiple linear regression models in predicting pressure transmission of soft pneumatic actuators used for active compression

Hedigalla, D; Ehelagasthenna, M; Nissanka, ID; Amarasinghe, R; Nandasiri, GK

Compression therapy is a crucial treatment method for managing Chronic Venous Disease (CVD), a prevalent condition that affects the veins in the lower extremities. Active compression using soft pneumatic actuators was ...
Comparison of Time Series Forecast Models for Rainfall and Drought Prediction

Ponnamperuma, N; Rajapakse, L [Conference-Full-text]

Forecasting of rainfall is important to be prepared for future weather-related disasters. Rainfall data can be categorized as time series data because rainfall data can be recorded in chronological order. Time series ...
Convolutional neural network to reproduce selfie images after removing supportive hand

Weerakoon, WMHI; Meegama, RGN [Conference-Full-text]

Although selfie images have become popular among smartphone users, the supportive hand that holds the camera ruins the beauty of the picture. The captured images will look more realistic if the supporting hand is removed ...
Detecting automatically generated tweets using lexical analysis and profile credibility

Wickramarathna, NC; Ganegoda, GU [Conference-Full-text]

Every industry relies heavily on accurate news and information distribution. In the recent decade social media has become one of the main methods of sharing news and other social impacting information online. But there's ...
Detection of red lesions in retinal images using image processing and machine learning techniques

Lokuarachchi, D; Muthumal, L; Gunarathna, K; Gamage, TD [Conference-Abstract]

Diabetic Retinopathy (DR) is a diabetes complication that causes damage to the blood vessels of the light sensitive tissue at the back of the eye. All the people who are suffering from diabetes have a high risk of ...
Determining the Invasive Plant Dynamics in Bolgoda Lake Using Open-source Data

Kannangara, KATT; Shoukie, MB; Nayomi, MPA; Dassanayake, SM; Dassanyake, ABN; Jayawardena, CL [Conference-Abstract]

Identifying invasive plants (IP) and monitoring their dynamics is essential to minimize potential adverse effects on natural resources. Remote sensing (RS) could effectively cater to such requirements by acquiring data in ...
Development of pavement performance prediction model for local roads by using statistical analysis and machine learning techniques

Ahamed, ANN; Sandamal, K [Conference-Abstract]

Sri Lankan Road network consists over 117,000 kms of roads which are comprised of national roads and highways (10.4%), provincial roads (16.3%) and the remaining are local roads. In general, local roads are managed by local ...
Diagnosing localized and distributed faults of rolling bearing using kurstogram and machine learning algorithms using bearings audio signal in comparison with vibration signal

Jathursajan, K; Wijethunge, A [Conference-Full-text]

Condition monitoring of rolling bearing using bearing’s audio signal and vibration signal via cost-effective accelerometer is experimented with and analyzed for both localized faults and distributed/ generalized roughness ...
Early identification of deforestation using anomaly detection

Wijesinghe, N; Perera, R; Sellahewa, N; Talagala, PD [Conference-Full-text]

Research involving anomaly detection in image streams has seen growth through the years, given the proliferation of high-quality image data in various applications. One such application that is in urgent need of attention ...
Eketh: a machine learning-based mobile platform to facilitate the paddy cultivation process in Sri Lanka

Premachandra, JSANW; Kumara, PPNV [Conference-Full-text]

Agriculture is a significant source of human survival and it accounts for the socio-economic growth in many developing countries including Sri Lanka. Paddy Cultivation occupies a remarkable place in Sri Lankan agricultural ...
Enhanced timetable scheduling: a high-performance computational approach

Sovis, A; Patikirige, C; Pandigama, Y [Conference-Full-text]

Timetable scheduling is a complicated, expensive and resource-intensive Optimization Problem. This project aims to suggest a solution to this problem using multiple strategies. The core strategy is to use Artificial ...
Evaluating expressway traffic crash severity by using logistic regression and explainable & supervised machine learning classifiers

Shashiprabha Madushani, JPS; Sandamal, RMK; Meddage, DPP; Pasindu, HR; Gomes, PIA [Article-Full-text]

The number of expressway road accidents in Sri Lanka has significantly increased (by 20%) due to the expansion of the transport network and high traffic volume. It is crucial to identify the causes of these crashes for ...
Flood susceptibility mapping using explainable machine learning models

Kurugama, KAKM; Kazama, S; Chaminda, SP [Conference-Full-text]

Flooding is one of the most frequently encountered natural disasters globally. Frequent severe flood occurrences in Rathnapura city, Sri Lanka caused damages to both human lives and infrastructures. Data-driven models have ...
Forecasting stock price of a company considering macroeconomic effect from news events

Waduge, N; Ganegoda, U [Conference-Full-text]

Investment perspective, Stock Market is the most popular potential investment market around the globe currently, because of this reason the need of an effective stock prediction approach was a target of many researchers. ...

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Browsing Research Publications by Subject "Machine learning"

Browsing Research Publications by Subject "Machine learning"

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