Browsing by Subject "machine learning"
Now showing items 1-11 of 11
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Activity recognition and resident identification in smart home environment
(2020)World’s population is ageing rapidly. There have been various efforts to improve the quality of life for elderly. Ambient assisted living is one possible solution which enables elderly or disabled people to live a better ... -
Determining the accuracy of budgets : a machine learning application for budget change pattern recognition
(2012)With the aid of open-sourced database and software libraries, we developed a data mining software prototype for SME business intelligent budgeting planning. The experiment demonstrates the existence of the change pattern ... -
Deterministic and probabilistic risk management methods in construction projects: A systematic literature review and comparative analysis
(Western Sydney University on behalf of AUBEA, 2022)Risks and uncertainties are inevitable in construction projects, and can drastically change the expected outcome, and negatively impact the project's success. However, Risk Management (RM) is still conducted in a manual, ... -
Ensemble learning methods for decision making : status and future prospects
(Institute of Electrical and Electronics Engineers (IEEE), 2015-07)In real world situations every model has some weaknesses and will make errors on training data. Given the fact that each model has certain limitations, the aim of ensemble learning is to supervise their strengths and ... -
Evaluating spammer detection systems for Twitter
(2017)Twitter is a popular Social Network Service. It is a web application with dual roles of online social network and microblogging. Users use Twitter to find new friends, update their activities or communicate with each other ... -
A framework for evaluating anti spammer systems for Twitter
(Springer Verlag, 2017-10-20)Despite several benefits to modern communities and businesses, Twitter has attracted many spammers overwhelming legitimate users with unwanted and disruptive advertising and fake information. Detecting spammers is always ... -
Incremental and parallel learning algorithms for data stream knowledge discovery
(2018-02)Incremental and parallel are two capabilities for machine learning algorithms to accommodate data from real world applications. Incremental learning addresses streaming data by constructing a learning model that is updated ... -
Machine learning technology and its application to computer games for health education
(2012)Driven by an initiative of the Adult & Paediatric Diabetes Psychology Service of New Zealand, research has been performed to develop new mechanisms, in the form of computer games, to educate children and teenagers about ... -
A pilot programme of fruit grading system using computer vision
(2021)RESEARCH QUESTIONS: 1. How can New Zealand’s agriculture industry use computer vision technologies to improve the accuracy of their fruit grading system? 2. What are the similarities and differences in object detection ... -
Smart beekeeping using IoT & ML
(2022-12-02)OUTLINE 1 Introduction 2 Intelligent beehive monitoring 3 Proposed system 4 Data collection 5 Conclusion -
Tracking a person’s behaviour in a smart house
(Springer Verlag, 2018-11)This paper proposes to use machine learning techniques with ultrasonic sensors to predict the behavior and status of a person when they live solely inside their house. The proposed system is tested on a single room. A grid ...
