Faculty of Design and Creative Technologies (Te Ara Auaha)
The Faculty of Design and Creative Technologies (Te Ara Auaha) is comprised of four school; Colab, the School of Art and Design, the School of Communication Studies and the School of Engineering, Computer and Mathematical Sciences. It also has Institutes, Centres and Labs across the Arts and Sciences in a mix that blends the traditional and the new, praxis and theory.
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Collections in Faculty of Design and Creative Technologies (Te Ara Auaha)
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Colab [69]
Recently Added
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BeeAE: Effective Aspect Term Extraction With Artificial Bee Colony
Aspect terms are opinion targets for people to express and understand opinions in reviews. Aspect terms extraction is an essential subtask in aspect-level sentiment analysis. To extract aspect terms from a sentence, existing ... -
TCP-LoRaD: A Loss Recovery and Differentiation Algorithm for Improving TCP Performance over MANETs in Noisy Channels
(MDPI, 2022)Mobile Ad hoc Networks (MANETs) are becoming popular technologies because they offer flexibility in setting up anytime and anywhere, and provide communication support on the go. This communication requires the use of ... -
A Hybrid CTC+Attention Model Based on End-to-End Framework for Multilingual Speech Recognition
Speech recognition is an important field in natural language processing. In this paper, the end-to-end framework for speech recognition with multilingual datasets is proposed. The end-to-end methods do not require complicated ... -
Jet Injection Needle-Free Dental Anaesthesia: Initial Findings
(Elsevier BV, 2022)Objectives We evaluated patient preference and reported levels of anxiety and discomfort of participants treated with a new needle-free electric motor-driven device vs. conventional local anaesthetic for dental extractions ... -
GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks
(arXiv, 2022)In recent years, providing incentives to human users for attracting their attention and engagement has been widely adopted in many applications. To effectively incentivize users, most incentive mechanisms determine incentive ... -
Aumentando as narrativas da comunidade: Uma exploração de imagem baseada em lentes e design de publicação
(School of Art and Design, Auckland University of Technology, 2021)para alfabetização visual e geração de imagens. Esta proposta de apresentação avança um estudo de caso pedagógico que enfoca maneiras inovadoras de promover a alfabetização visual para alunos de graduação por meio de imagens ... -
Aumento de las narrativas comunitarias: Una exploración del diseño de publicaciones e imágenes basadas en lentes
(School of Art and Design, Auckland University of Technology, 2021)Esta propuesta de presentación plantea un caso de estudio pedagógico que se centra en formas innovadoras de promover la alfabetización visual para estudiantes de pregrado a través de la creación de imágenes basadas en ... -
Reducing Heat Loss From Solar Hot Water Storage Tanks Using Passive Baffles
(Elsevier BV, 2022)Solar water heating systems with thermal storage are one of the simplest ways of reducing energy demand for domestic water heating. Over the years, researchers have attempted to improve the thermal performance of storage ... -
A Deep Ensemble Learning Method for Colorectal Polyp Classification With Optimized Network Parameters
Colorectal Cancer (CRC), a leading cause of cancer-related deaths, can be abated by timely polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely without submitting the sample for histology. ... -
Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging
(American Association for the Advancement of Science (AAAS), 2022)Traditional methods used to monitor the aboveground biomass (AGB) and belowground biomass (BGB) of slash pine (<jats:italic>Pinus elliottii</jats:italic>) rely on on-ground measurements, which are time- and cost-consuming ... -
Grading Methods for Fruit Freshness Based on Deep Learning
(Springer Science and Business Media LLC, 2022)Fruit freshness grading is an innate ability of humans. However, there was not much work focusing on creating a fruit grading system based on digital images in deep learning. The algorithm proposed in this article has the ... -
Current Context and Research Trends in Linear DC–DC Converters
With the introduction of switch-mode power supplies (SMPS) in the mid-1970s, the efficiency of DC–DC conversion rose from 60 to 80% and SMPS became a popular power supply solution. However, linear regulators have not become ... -
DO NOT SCALE: A Lament for Design Drawing
(School of the Arts English and Drama, Loughborough University, 2022)Producing scaled artefacts — models, maps, and especially drawings — is crucial to design fields that anticipate and mobilise projects beyond the scope of a single human body to perceive, encompass, or enact. To consider ... -
Polynomial Wiener LQG Controllers Based on Toeplitz Matrices
(Institute of Physics (IoP), 2022)This paper re-examines the discrete-time Linear Quadratic Gaussian (LQG) regulator problem. The normal approach to this problem is to use a Kalman filter state estimator and Kalman control state feedback. Though quite ... -
Colorizing Grayscale CT Images of Human Lungs Using Deep Learning Methods
(Springer, 2022)Image colorization refers to computer-aided rendering technology which transfers colors from a reference color image to grayscale images or video frames. Deep learning elevated notably in the field of image colorization ... -
Optimal Coordinated Control Strategy of Clustered DC Microgrids under Load-Generation Uncertainties Based on GWO
The coordination of clustered microgrids (MGs) needs to be achieved in a seamless manner to tackle generation-load mismatch among MGs. A hierarchical control strategy based on PI controllers for local and global layers has ... -
Application Of Combined Terrestrial Laser Scanning And Unmanned Aerial Vehicle Digital Photogrammetry Method In High Rock Slope Stability Analysis: A CASE Study
(Elsevier BV, 2022)Recent advancements in remote sensing techniques have made it possible to overcome the risky issues using conventional methods and have opened up new opportunities for collecting data on discontinuity characteristics. This ... -
An ANN-Fuzzy Cognitive Map-Based Z-Number Theory to Predict Flyrock Induced by Blasting in Open-Pit Mines
Blasting is widely employed as an accepted mechanism for rock breakage in mining and civil activities. As an environmental side effect of blasting, flyrock should be investigated precisely in open-pit mining operations. ... -
The Politics of the Pile. Material Imagination and Improvisation in the 1871 Paris Commune
(enigma : he aupiki charitable trust, 2022)In the Paris Commune of 1871, collectives, collective action, and shared spaces were imagined through metaphors of mounding and scattering. This article explores the material imagination that underlies these metaphors and ... -
Value and Sustainability of Emerging Social Commerce Professions: An Exploratory Study
(MDPI, 2022)Recent advances in social commerce and mobile technology have led to the emergence of new professions such as vlogging, blogging and virtual pop-up store owning. Starting initially as hobbies, the services provided by these ...