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Academic Stress Detection Using Micro -Blogs

Gamage, Gratia Sewwandi (2020)

Because of the quick social and financial turn of events and escalated rivalry pressures, youth is encountering diverse mental weights originating from the study, correspondence, love, and self-acknowledgment. On the off ...

Access Controlled Permissioned Blockchain

Weeraman, Dewni Matheesha (2019)

Today, data privacy is being talked more than ever, and access controlling to improve this has become a high priority in business-centric enterprise applications. Many regulatory concerns are arising resulting of an increase ...

Accidents Avoiding System for Pedestrians using Android app and IOT device

Mohotto, Charith Neranga Wanigachintham (2019)

Day by day, the safety standards of vehicles are uplifted, but what about pedestrian safety? There is very little or no precautions taken to improve pedestrian safety. One of the most common reasons for pedestrians to get ...

An Account Holders’ Behaviour Prediction System for Banking Sector

Udakara, Ranchagoda Gam Acharige Samitha (2019)

The banking industry is a much more commoditised space. With everyone in the industry offering almost the same services and products without much room to compete on price, the experience customers have with their banks is ...

Accurate Cyberbullying Detection Using Software Based Approach

Perera, Andrea (2020)

The usage of digital/social media is increasing day by day with the advancement of technology. People in the twenty-first century are being raised in an internet-enabled world with social media. Communication has been ...

Active Fire Evacuation and Control System (AFECS) For High-Rise Buildings

De Silva, Yomal (2018)

Fire is regarded as one of the greatest gifts mother nature gave mankind that changed the course of human evolution. According to Darwin, it is the greatest discovery made by humanity. Fire has posed both positive and ...

ADAM- Anxiety Detection and Management: a Solution to Manage Anxiety at Workplaces and Improve Productivity

Mannapperuma, Dilara; Kirupananada, Abarna (IEEE, 2020)

This paper documents the research conducted for an application aiming to help employees from the IT industry in Sri Lanka to manage their anxiety. Anxiety in workplaces burdens a significant number of employees around the ...

Adaptive Agent For FPS Games Using Reinforcement Learning

Manura, Sinha Arachchilage Didula Kasunka (2020)

Artificial adaptive game agent provides the adaptive functionality, to minimize the need of implementing behavior-based agent according to the environment, causing to reduce complexity of an agent implementation. Due to ...

Advanced Education LMS - Learning Analytic using Opinion Mining

Aruliny, T. (2016)

Learning Management System (LMS) provides an integrated platform for content, delivery and management of learning as well as accessibilities by a range of users that includes learners, content creators and administrators ...

‘Affect-Pulse’ Intelligent Solution for Neuro Marketing using Machine Learning Techniques

Soris, Trevor Fabian (2019)

Marketing plays a significant role in any kinds of business. Product marketing requires Indepth researching, advertising, and selling products or services to reach out to the target audience. Retailing is undergoing rapid ...

Agrisage : An HMM and Ontology based Cross-lingual Question Answering system for the Agricultural Domain

Karmegam, Niveditha (2019)

Although internet is the predominant source of information, the diversity and high heterogeneity of data makes finding relevant data a complex task. English is the predominant language that is being used in the internet, ...

“Agro - mate" An agriculture value chain management system to help smallholding farmers with their information needs.

Kumarasiri, Bhathiya Chathuranga (2017)

Agriculture Industry possesses a high importance in most of the developing countries and in Sri Lanka also 28.5% of the National Employment is provided by the agriculture sector. But, since it was not developed to the rate ...

An AI Based Facial Generation system to Identify Criminals

Weerakon, Moragalle Ishan Aravinda (2020)

The importance of forensics is obvious when it comes to criminal investigations. This research focuses on a specific type of forensic evidence, which is forensic sketches. Throughout the years, forensic sketches have been ...

An Algorithmic Approach to Find the Optimal Transportation Method in Sri Lanka

Abeysuriya, Buwendra (2019)

There are multiple methods of ground transportation available for people. Trains, cable carts, Buses, E-hailing applications, and many more. All these services help the users to travel from one place to another. But because ...

An Ambiguity Scorer for Chatter Bots in Operation on Nonnative Grounds

Peris, Thanthirige Chami Yasasri (2020)

Bots are everywhere and they can be anywhere offering some service specific to some day to day activity. Studying – Study Bot, listening to news – News Bot, getting some hint about a new medication – Medi Bot, just spend ...

Analogy between Use-Case Diagram and real world Business requirements: Computational intelligence based approach

Priyankara, Obhasha (2018)

Requirement gathering stage in software development lifecycle is the most important stage in software product engineering. Entire project duration depends on the time taken in requirement gathering stage where different ...

Analysing the utilisation of internet of things (loT)for contextual marketing in consumer usables- LPG gas

Suhail, Sumeiya (2017)

Advertising has seen a shift from legacy media such as print and TV commercials to Internet powered advertising such as email marketing, direct marketing and social media promotions. However, the expected outcome of an ...

Analysis of Historical Accident Data to Determine Accident Prone Locations and Cause of Accidents

Ifthikar, Arshardh; Hettiarachchi, Saman (IEEE, 2018)

Road traffic accidents is a severe issue which causes great distress and destroys lives of many individuals. In spite of different attempts to solve this problem, it still resides as a major cause of death. This paper ...

Analysis of Seismic Activity using the Growing SOM for the Identification of Time Dependent Patterns

De Silva, Daswin Pasantha L P; Alahakoon, Damminda (IEEE, 2006)

The growing self organizing map (GSOM), a variant of the self organizing map, is a dynamic feature map model used for knowledge discovery in high dimensional datasets. It has been used mainly to identify hidden patterns ...

Analytical Models for Hotel Revenue Management: A Case Study

Biyanwila, Chathuni (2020)

In this research, aim was to forecast daily number of guest arrivals for a boutique villa and to use machine learning methods to predict the room sell rate and to find most robust models for each task. Historical daily ...

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