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Identifying the diseases on brinjal leaves using machine learning – A Sri Lankan study

Sarvanan, S. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)

The spread of plant diseases has a substantial negative impact on the quality and yield of agricultural output, which results in significant economic losses. Because of the economic crisis and the emphasis on organic ...

Identification of tea leaf diseases at industrial level in Sri Lanka using deep learning

Dilhara, S. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)

Algal leaf spot, Black blight, Blister blight, Gray blight, and Spider mites attack are very common types of tea leaf diseases in Sri Lanka. However, to ensure the healthy development of tea sectors, existing research ...

Heart disease prediction using effective feature selection and machine learning – A Sri Lankan study

Weerakkodi, S.; Sobana, S. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)

One of the main causes of death worldwide is heart disease. The latest WHO figures show that 26,304 deaths from coronary heart disease, or 23% of all fatalities, occurred in Sri Lanka in 2020. The diagnosis and treatment ...

Forest cover prediction using U-Net convolutional neural network

Dharmasena, M.S.S.; Kirushanth, S. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)

Forests play a major role in the ecosystem and capturing the forest cover dynamics from the remote sensing imagery has been presented with significant accuracy. This study aims to assess the forest cover dynamics in the ...

Facial expression recognition using convolutional neural network along with data augmentation and transfer learning

Kumari, H.M.L.S. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)

Facial expression recognition (FER) is a most interested popular area of the modern technological world. Some of the applications of the FER system are patient condition monitoring, games, human-computer interaction, ...

Detection of chronic kidney disease in the north central province of Sri Lanka using effective feature selection and machine learning

Dissanayake, D.V.; Sobana, S.; Yogarajah, B. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)

About 10% of the adult population globally is afflicted by chronic kidney disease (CKD), one of the top 20 causes of death worldwide. Sri Lanka, one of the countries most severely afflicted by CKD, has been identified as ...

Deep learning based mitosis classification using microscopic histopathological images from different scanners

Kobalarasa, S. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)

The most prevalent and significant cause of death in women is breast cancer. The death rate can be decreased with early detection of breast cancer. The mitotic cell count during the diagnosis is a crucial biomarker for ...

Classification of animals with attributes using image processing and machine learning algorithms

Kanista, M. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)

Technology has been taken part a significant role to play in wildlife and ecosystem conservation. It reduces the human workload and time for circumstances which require immediate results. In computer vision related problems, ...

Arduino obstacle avoiding, voice control and bluetooth control robot

Nasik, S.A.M.; Arudchelvam, T. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)

Electronic devices including mobile phones are considered as essential things at present. Robots are also used for several tasks. With the development of both the electronic engineering and computer science fields, the ...

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