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Browsing 2022 by Issue Date

Browsing 2022 by Issue Date

Now showing items 1-20 of 133

Pepper plant leaf diseases identification system using image processing

Mahindarathna, Uditha (2022)

"Pepper is the most widely used spice in the world. Pepper is indigenous to South Asia, and historical records indicate that it originated in South India. Pepper is primarily grown in Sri Lanka's low and mid-country wet ...
docShare: Blockchain-based system approach for sharing KYC data

Perera, Navinda (2022)

"In the finance enterprise, which include banks, coverage organizations and different associated organizations use excessive value tactics to do the verification method in their clients. For example, Know- Your-Customer ...
The Cinnamon Therapist: An Image based Cinnamon Plant Stem and Branch Disease Detection and Treatment Recommendation System

Pethangoda, Madhavi (2022)

"Cinnamon is a widely distributed spice that is used by people all over the world. Cinnamon is a member of the Lauraceae family. Sri Lanka is the world’s leading cinnamon producer. It accounts for more than 90% of the ...
Tuberculosis Detection from Chest X-rays

Wickramathilaka, Shalinka (2022)

"Tuberculosis (TB) has been identified as a huge threat to the public health, people dying from the disease in most poor and middle income countries. It kills over 4,000 people each day. Many of these deaths may have been ...
Interpreting Sinhala Sign Language to Sinhala Text

Pushparaj, Keerthigan (2022)

"Sign languages come from many different countries worldwide, including the Sri Lankan sign language. The various sign languages vary from location to location. The same sign does not have the same meaning and can be ...
BMI Classification and Exercise Recommendation System using Image Processing

Dahanayake, Sasanka (2022)

"Obesity is one of the most dangerous diseases that could happen to someone, this occurs from inheritance or environmental factors but mainly as a result of eating disorders with the lack of physical activities involved. ...
OCARP: Object Copy and Random Paste Image Augmentation for Semantic Segmentation of Crop and Weed

Pathirana, Malinda (2022)

Precision agricultural robots require efficient and accurate semantic segmentation models to pixel wise classify crop, weed, and soil in agricultural fields for weed removal. Maintaining significant performance in deep ...
Identification of Phraseological traits in Online Textual Representations related to Psychological Disorders (IPT-psy)

Suraweera, Sachith (2022)

Social media has taken all over the world when it comes to connecting people and expressing their feelings with each other. These expressions and feelings can be anything that goes up to extreme happy moments to depressed ...
Price Prediction on Finding Retail Prices of Used Motorbikes

Ariyarathna, Senel (2022)

Motorcycles are one of the most popular modes of transportation because they are quick, inexpensive, and convenient. Many distinct attributes are examined in order to make a reliable and accurate prediction. This thesis ...
Tomato plant disease detection system using image processing and deep learning

Jayawardana, Dasith Udara (2022)

Emerging of deep learning algorithms has brought forward revolutionary opportunities for the developers. Many different areas in software development have started to see revolutionary growth in domains such as Image ...
Dynamic Sinhala Sign Language Recognition System by Image Processing with Deep Neural Networks

Livera, Gonnage (2022)

"Deaf people use sign language as their primary communication method. The most common sign language in the Sri Lankan context is Sinhala Sign Language. However, most people who do not have hearing issues reject learning ...
Coconut Leaf Diseases Identification System Using Image Processing

Abeywickrama, Yasiru (2022)

"Sri Lanka's agriculture sector has traditionally been a direct contributor to the national economy, centered on important crops such as Tea, Rubber, and Coconut. Sri Lankan coconut, in particular, is extremely popular ...
COVID-19 Lung Mask Segmentation and Severity Estimation using Deep Learning

Sinhabahu Arachchige Don, Yasith (2022)

"The outbreak of COVID-19, a type of pneumonia transmissible person-to-person caused by the Severe Acute Respiratory Syndrome Coronavirus 2(SARS_COV-2), has caused a global pandemic. In January 2020, the World Health ...
COVID-19 Pneumonia Cases Were Detected Automatically Using Deep Learning Model and X-Ray Images

Thavarasa, Deneshwaran (2022)

This (COVID-19) is spreading quickly around the globe. COVID-19 victims have been diagnosed and isolated early, which has helped to slow the virus's spread. Deep learning algorithms are one of the greatest solutions for ...
DepDetect : Detection of Depressive Sinhala Comments in Social Media

Rathnayake Liyanage, Lashini (2022)

Depression is a common mental disorder and a treatable mental illness under a low cost if diagnosed at its early stage. But many of the affected people do not diagnose the disease at its early stage especially in Sri Lankan ...
Solar Panel Efficiency Prediction Using Machine Learning

Hewawasam, Hansaka Ashen (2022)

"In a fast-paced world, we are always on the move to maintain a busy lifestyle in order to achieve our goals and objectives. As our living standards grow, so will our energy use. The need for energy began with the creation ...
Deep learning-based computer-aided detection of melanoma cancer subtypes

Peiris, Danuka (2022)

"Skin cancer is a condition in which skin cells grow uncontrollably and irregularly. This is caused by unrepaired DNA damage or genetic defects in skin cells. Melanoma and non-melanoma are the two main kinds of skin cancer. ...
“CompressO” - Compression of Transformers using Pruning

Weerasinghe, Chathuri (2022)

"Providing meaningful representations of words has been considered one of the fundamental goals of Natural Language Processing (NLP) since its inception. With the advancement of technology, researchers have experimented ...
Online Food Delivery Sales and orders prediction using Machine Learning

Selvam, Naveen (2022)

"This shows the rapid growth of the online food delivery industry, which has increased the requirement to identify the key success characteristics that are essential to online food delivery providers. Due to competition ...
Travel Mate: A Travel Destination Safety Recommender during the COVID-19 pandemic using Machine Learning

Yogalingam, Ashvinth (2022)

This thesis contains of research on the travel recommendation system amid the pandemic using Machine Learning (ML). Since the breakout of the COVID-19 pandemic in Wuhan, China, which was discovered at the end of 2019, the ...

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