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2022: Recent submissions

Now showing items 101-120 of 133

Breast Cancer Early Detection Ultrasound Images Using ESRGANs & CNN

Jayasinghe Appuhamilage, Shane (2022)

"Breast cancer is one of the biggest problems women face and can survive if they recognize the beginning of the expansion phase. If the patient suspects that the breast lump is growing, the doctor will first ask for an ...
Fashionable

Nawaz, Aarthif (2022)

"Fashion designers encounter a lot of difficulties when crafting and designing in-vogue fashion designs. As a result, many fashion-design productions don’t come large-scale to the market and are below standard. These ...
Covid-19 Risk Identification Using Machine Learning

Maggonage, Shehan (2022)

"The virus Covid 19 is a kind of a virus. This virus comes in a variety of forms. This was discovered in China in December of 2019. Within two to fourteen days after contracting this virus, symptoms appear in infected ...
Caught in a Lie: Automated Deception Detection System Using Human Facial Cues and Facial Chirality

Vidanagama, Chamudi (2022)

"Deception detection is an important task carried out in high skate situations like suspect interrogations. Criminal investigations are solely dependent on a suspect’s truthful confession for a case to be solved. The ...
Cross-Lingual Singing Voice Conversion with VAW-GAN

Bhareti, Kushan (2022)

"Singing is not an ability that all humans have grasped at a level to perform in a professional manner. While most people involved in the entertainment industry are accustomed to singing, there can be instances where an ...
Vehicle make and model detection

Galkissage, Vishma Akash (2022)

After the industrial revolution, mankind have been making/innovating various ways to the transportation because of that the vehicles became more popular ways to transport. Because of that major companies always try to build ...
Inventory sales forecasting based on machine learning and deep learning.

Gamage, Piyumi (2022)

"Very small, middle, and large business must balance the act of between reducing the cost, of holding too much inventory stock with and need to maintain enough stock. So, in this community, over the last 50 years ...
Market price prediction with machine learning and candlestick tokenized algorithm

Pannigalagamage, Namesh Kushantha (2022)

"How important technical analysis is to those who trade in the market. Technical analysis can be introduced as a method used when trading in the market. A large number of technical analysis methods are used by traders in ...
Skin Diseases Detection System for Diagnosis of Eczema, Psoriasis and Tinea

Liyana Gunawardhana, Wasura (2022)

Psoriasis, Eczema and Tinea Ringworm are widespread degenerative skin diseases that has a high sensitivity in diagnosing. Early detection, which is essential for a proper diagnosis, demands for the involvement of competent ...
Sinhala Language Question Answering using Machine Comprehension

Iddawela, Dulitha (2022)

"Across the time period, Natural Language Processing has helped immensely in many tasks with regards to languages like English. In Sri Lanka the main language that is used here is Sinhala, Unlike English the Sinhala language ...
Using Affective Computing and Sentiment Analysis to Show Emotions in An Article

Jamal, Shehan (2022)

In the current era everybody reads news. Anyone who reads newspapers or article will feel emotion. This emotion can change a person no matter how small the emotion he/she will have a change in behavior, this could affect ...
Guitar Chords Recognition Using Real-Time Video Feed

Gamage, Binuka (2022)

The music industry is made up of those who make money by writing songs and other musical compositions, producing and selling recorded and sheet music, and organising concerts and the groups that support, educate, advocate ...
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 ...
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 ...
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. ...
Restaurant reviews Classifier and Analyzer using Machine Learning and Natural Language Processing

Murugathas, Velon (2022)

Restaurants are one of the most prominent industry in the market. Due to the rapid growth of the Social Medias the ‘culinary tourism’ has gained immense popularity around the world. As the customers are pursuing to gain a ...
“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 ...
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 ...
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 ...

Now showing items 101-120 of 133

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