• Evaluation of brute-force techniques to improve the defense against brute-force induced attacks 

  Dissanayake, D.D.M.S.M.B. (2022)

  If someone wants to securely store data indefinitely, it is nothing more than encrypting it with a key. However, this has its own limitations where an attacker could try many keys until he/she breaks the encryption directly ...
• NOSTRADAME : Predicting outcome of NBA games for sports betting using Machine Learning 

  Ratnayake, Pabasara (2022)

  "The NBA is the most famous basketball league in the world. The league has five hundred plus players currently registered in their thirty available teams. The NBA itself is worth more than two billion dollars. The games ...
• Analyzing and Predicting the Market Price of Fruits and Vegetables 

  Abewickrama, Gayani (2022)

  Is there a method or a source for consumers to obtain an idea of the pricing of fruits and vegetables before they go to the supermarket? The price increases and decreases of fruits and vegetables on the market are quite ...
• Petrichor: Semi Supervised Fine-Tuning of Textual Entailment Based Boolean Question-Answering for Pre-trained Language Models 

  Jesuthasan, Tony (2022)

  Pre-trained Language Models (PLM) have taken the Natural Language Processing (NLP) domain by storm since its inception during the latter years of the previous decade. Consisting of two training stages: pre-training ...
• HAIR-STYLIZER : Haircut Recommendation System for Women with a Mask 

  Ekanayake, Kalhari Chathumini (2022)

  A haircut can significantly affect anyone’s appearance along with other facial features. It is important to choose a good haircut for women because it can enhance their beauty, personality and confidence. The face shape ...
• Automating User Feedback Retrieval in E-Learning through Emotion Detection & Eye Tracking 

  Marakkala Manage, Salinda Hashan Senevirathne (2022)

  E-Learning is one of the popular educations delivering methods arrived with the advancement of internet technologies. With everything moving to virtual eLearning got a huge boost of public popularity in the industry. This ...
• Natinal basketball association match winning prediction based on overall team performance model 

  Mohamed, Shazni (2022)

  Through the use of this study, our objective is to deliver to accurate results for predicting who will win NBA matches. In this area, there is a wealth of prior research, all of which suffers from significant methodological ...
• Best Dog - Dog Breed Recommendation System using Ordinal Priority Approach 

  Perera, Shane (2022)

  "This research aims to present a solution to recommend dog breeds by the method called the Ordinal Priority Approach with collaborative filtering. According to this approach, the system will be asking the user to ...
• Automated Hand Sanitizing Dispenser with Temperature Reader 

  Wijerathne, Moveen (2022)

  "The COVID 19 virus is a deadly virus. This has built an evolved situation for personal health and hygiene practices. Outside every shop a sanitizer bottle has been placed. Especially outside supermarkets and shopping ...
• Neural Machine Translation of Legal Documents for Low Resource Languages 

  Perera, Hiruni (2022)

  "With the rise of globalization and digitalization, the exchange of foreign languages and documentation composed using such languages are commonly exchanged across the globe. Due to such reasons, translation and interpretation ...
• Data-Driven Performance Evaluation and Player Ranking in Hockey via a Machine Learning 

  Herath Hitihamilage Don, Lahiru Rukshan Bhagya (2022)

  "Due to the availability of vast data documenting all of the events occurring during a match, the challenge of evaluating the performance of hockey players is garnering the attention of numerous corporations and the ...
• Electricity Meter Reading Based on Image Processing 

  Kumarage, Harith (2022)

  Electricity plays a major role in our daily lives. Power consumption is increasing day by day. According to a report from the CEB (Ceylon Electricity Board) 161,150 new power connections were provided in 2018. The device ...
• HAGUID: Real-time hand gesture-based approach to UI designing 

  Abeysekera, Shyami (2022)

  "User Interface (UI) and User Experience (UX) design plays a major role in the development of any application, however the technology used to design have always remained unchanged, stuck on the traditional devices. While ...
• Real Time Night Sky Space Object Mapping Using Enhanced Computer Vision 

  DeSilva, Sajitha (2022)

  "Space is a domain with plenty of unexplored research areas and is slowly gaining popularity among various fields of studies, expecting to be contributed upon. When considering the Computer Science field, there are many ...
• Cric-1’O’1 : Quantitative Assessment of a One-On-One Opposing Player Encounter Performance Prediction in Cricket 

  Hamza, Rahma (2022)

  "Cricket is an internationally well-known game, and changes in technology also influenced the game with significant advancements. The whole game process and minute details are observed more precisely than ever before with ...
• EmotionReader - A System for Blind People to Recognize Facial Emotions through Sound. 

  Welikalage, Malshama (2022)

  "The fact which is initialized to be carried on to this research is the inability of blind people to recognize the facial emotions of others whom they are talking with by only considering their utterances. Someone’s utterance ...
• Actium - A Decentralized Vessel Maintenance System 

  Sendanayake, Dinu (2022)

  "Vessel maintenance is the most crucial procedure for the seaworthiness of the vessel. If the vessel integrity is damaged, it can cause a crisis for crew members, port authority, ship company, and the overall maritime ...
• DEEPFCE: FOOD Calorie calculation and estimation using food images and deep learning to prevent weight gain and obesity 

  Perera, Shiom (2022)

  Obesity in adults and children at present is considered a global plague and has tripled since 1975 making it a serious issue present in the society that is given very less attention but secretly killing individuals both ...
• Multi -model elderly fall identification system using anomaly detection 

  Senanayake, Rashmi (2022)

  Elderly Fall detection is a domain that is widely researched in the research community. Over the years fall detection systems have evolved to adopt different techniques and methodologies to improve performance of the ...
• Lazy-Koala: A Lightweight Framework for Root Cause Analysis in Distributed Systems 

  Piyarisi, Isala (2022)

  Lazy-Koala is a low overhead Kubernetes framework to collect, store and process telemetry data using deep learning to help system operators detect anomalies earlier to reduce the MTTR when the system is experiencing an ...

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