Deep learning algorithms are a subset of machine learning algorithms that aim to explore several levels of the distributed representations from the input data. Recently, many deep learning algorithms have been proposed to solve traditional artificial intelligence problems. In this review paper, some of the up-to-date algorithms of this topic in the field of computer […]
Deferred feedback on summative assessments can demotivate students and affect their overall learning performance, and it can change their study routines. The aim of this study is to compare and analyse students’ perceptions about summative and formative regular feedback: whether they are better motivated by being given marks, or by regular feedback without any marks. […]
The COVID-19 pandemic created unprecedented challenges for tertiary education institutions worldwide. The crisis placed enormous pressure on educational institutions as they were required to pivot suddenly to teaching fully online. In New Zealand, Tertiary Education Organisations (TEOs) were forced to close on Wednesday 25 March 2020 after New Zealand moved to Alert Level 4,1 necessitating […]
Over the past decade, the impacts of technology on the construction sector have been profound. This trend presents significant challenges for construction firms in an environment characterised by skilled labor shortages and an aging workforce that tends to struggle to accept new technology. The purpose of this research is to determine the types of technologies […]
Authentication methods based on human traits, including fingerprint, face, iris, and palm print, have developed significantly, and currently they are mature enough to be reliably considered for human identification purposes. Recently, as a new research area, a few methods based on non-facial skin features such as vein patterns have been developed. This literature review paper […]
This paper investigates how and why firms affected by Emissions Trading Schemes (ETSs) are financially accounting for carbon in a voluntary setting. Using institutional theory, the authors seek to identify the determinants of a firm’s decision to adopt a particular carbon financial accounting practice. We identify the recognition and measurement practices for carbon-emission allowances using […]
The inexorable use of electronic technology and rising user expectations of motorised transport are quickly moving the service industry towards a rapidly changing environment. To maintain the ability to deal with new and emerging technologies, industry leaders will need to rethink how they will address their staffing strategies. In this research, we found that the […]
Stock market prices are intrinsically dynamic, volatile, highly sensitive, nonparametric, nonlinear and chaotic in nature, as they are influenced by a myriad of interrelated factors. As such, stock market time series prediction is complex and challenging. Many researchers have been attempting to predict stock market price movements using various techniques and different methodological approaches. Recent […]
National thermal standards have historically been set to minimise winter heating energy in detached houses. It is uncertain whether these standards are optimal for the increasing number of joined, medium-density dwellings when summer and winter conditions are considered. Using freely available software, annual heating energy use and summertime peak temperatures were calculated for a number […]
According to future projections based on current demographic growth trends, Auckland’s population will reach two million in 2033. Since the city is already afflicted by a serious housing crisis, at the beginning of 2017 the newly elected Mayor Phil Goff set up a task force. Formed by representatives of various stakeholders, it was given the […]