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2014

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Articles 20101 - 20130 of 21840

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Zernike Moments And Genetic Algorithm : Tutorial And Application, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen Jan 2014

Zernike Moments And Genetic Algorithm : Tutorial And Application, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen

Research outputs 2014 to 2021

Aims/ objectives: To demontrate effectiveness of Zernike Moments for Image Classification. Zernike moment(ZM) is an excellent region-based moment which has attracted the attentions of many image processing researchers since its first application to image analysis. Many papers have been published on several works done on ZM but no single paper ever give a detailed information of how the computation of ZM is done from the time the image is captured to the computation of ZM. This work showed how to effectively apply ZM on RGB images. We have demonstrated the effectiveness of Zernike moment in image classification system. A neuro-genetic …

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Cloud Security Meets Telemedicine, Michael N. Johnstone Jan 2014

Cloud Security Meets Telemedicine, Michael N. Johnstone

Research outputs 2014 to 2021

Medical systems are potentially one domain where security is seen as an impediment to patient care and not as an essential part of a system. This is an issue for safety-critical systems where reliability and trust are essential for successful operation. Cloud computing services offer a seamless means to allow medical data to be transferred from patient to medical specialist, whilst maintaining security requirements. This paper uses a case study to investigate the use of cloud computing in a mobile application to assist with diagnostics for patients with Parkinson Disease. It was found that the developers of the app ignored …

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Editorial - The Changing Face Of Ehealth Security, Patricia Williams, Lizzie Coles-Kemp Jan 2014

Editorial - The Changing Face Of Ehealth Security, Patricia Williams, Lizzie Coles-Kemp

Research outputs 2014 to 2021

No abstract provided.

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Leadership In Sustainability: Creating An Interface Between Creativity And Leadership Theory In Dealing With "Wicked Problems", Renee Newman-Storen Jan 2014

Leadership In Sustainability: Creating An Interface Between Creativity And Leadership Theory In Dealing With "Wicked Problems", Renee Newman-Storen

Research outputs 2014 to 2021

Fundamental to Leadership in Sustainability, a course in the Masters in Sustainability and Climate Policy (coursework) offered through Curtin University Sustainability Policy (CUSP) Institute, is that the complexity, flexibility and vitality of sustainability are precisely why sustainability practitioners commit themselves to finding new and innovative solutions to complex problems. The course asks the student to "think differently" and to engage in debate that inspires and encourages creative thinking strategies for the planning and development of our cities and communities. This paper details what the course is about, how it is structured and what the connections are between creativity, sustainability and …

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Contourlet Textual Features: Improving The Diagnosis Of Solitary Pulmonary Nodules In Two Dimensional Ct Images, Jingjing Wang, Tao Sun, Ni Gao, Desmond D. Menon, Yanxia Luo, Qi Gao, Xia Li, Wei Wang, Huiping Zhu, Pingxin Lv, Zhigang Liang, Lixin Tao, Xiangtong Liu, Xiuhua Guo Jan 2014

Contourlet Textual Features: Improving The Diagnosis Of Solitary Pulmonary Nodules In Two Dimensional Ct Images, Jingjing Wang, Tao Sun, Ni Gao, Desmond D. Menon, Yanxia Luo, Qi Gao, Xia Li, Wei Wang, Huiping Zhu, Pingxin Lv, Zhigang Liang, Lixin Tao, Xiangtong Liu, Xiuhua Guo

Research outputs 2014 to 2021

Materials and Methods: A total of 6,299 CT images were acquired from 336 patients, with 1,454 benign pulmonary nodule images from 84 patients (50 male, 34 female) and 4,845 malignant from 252 patients (150 male, 102 female). Further to this, nineteen patient information categories, which included seven demographic parameters and twelve morphological features, were also collected. A contourlet was used to extract fourteen types of textural features. These were then used to establish three support vector machine models. One comprised a database constructed of nineteen collected patient information categories, another included contourlet textural features and the third one contained both …

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Reaching Perinatal Women Online: The Healthy You, Healthy Baby Website And App, Lydia Hearn, Margaret Miller, Leanne Lester Jan 2014

Reaching Perinatal Women Online: The Healthy You, Healthy Baby Website And App, Lydia Hearn, Margaret Miller, Leanne Lester

Research outputs 2014 to 2021

Overwhelming evidence reveals the close link between unwarranted weight gain among childbearing women and childhood adiposity. Yet current barriers limit the capacity of perinatal health care providers (PHCPs) to offer healthy lifestyle counselling. In response, today's Internet savvy women are turning to online resources to access health information, with the potential of revolutionising health services by enabling PHCPs to guide women to appropriate online resources. This paper presents the findings of a project designed to develop an online resource to promote healthy lifestyles during the perinatal period. The methodology involved focus groups and interviews with perinatal women and PHCPs to …

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Mental Models For The Negation Of Conjunctions And Disjunctions, Guillermo Macbeth, Eugenia Razumiejczyk, María C. Crivello, Claudia Bolzán, Carolina I. Pereyra Girardi, Guillermo Campitelli Jan 2014

Mental Models For The Negation Of Conjunctions And Disjunctions, Guillermo Macbeth, Eugenia Razumiejczyk, María C. Crivello, Claudia Bolzán, Carolina I. Pereyra Girardi, Guillermo Campitelli

Research outputs 2014 to 2021

This study investigates why reasoning that involves negation is extremely difficult. We presented participants with reasoning problems containing sentences with negation of conjunctions and disjunctions in order to test predictions derived from the Mental Models Theory of human thought. According to this theory, reasoning consists of representing and comparing possibilities. Different sentential forms would require different cognitive demands. In particular, responses to a sentential negation task would be modulated by working memory load. This prediction would hold for correct responses but also for the general pattern of responses that includes incorrect responses when the task offers different response options. A …

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An Information-Theoretic Image Quality Measure: Comparison With Statistical Similarity, Asmhan F. Hassan, Dong Cailin, Zahir M. Hussain Jan 2014

An Information-Theoretic Image Quality Measure: Comparison With Statistical Similarity, Asmhan F. Hassan, Dong Cailin, Zahir M. Hussain

Research outputs 2014 to 2021

We present an information-theoretic approach for structural similarity for assessing gray scale image quality. The structural similarity measure SSIM, proposed in 2004, has been successflly used and verfied. SSIM is based on statistical similarity between the two images. However, SSIM can produce confusing results in some cases where it may give a non-trivial amount of similarity for two different images. Also, SSIM cannot perform well (in detecting similarity or dissimilarity) at low peak signal to noise ratio (PSNR). In this study, we present a novel image similarity measure, HSSIM, by using information - theoretic technique based on joint histogram. The …

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Mechanisms And Ecological Role Of Carbon Transfer Within Coastal Seascapes, Glenn A. Hyndes, Ivan Nagelkerken, Rebecca J. Mcleod, Rod M. Connolly, Paul S. Lavery, Mathew A. Vanderklift Jan 2014

Mechanisms And Ecological Role Of Carbon Transfer Within Coastal Seascapes, Glenn A. Hyndes, Ivan Nagelkerken, Rebecca J. Mcleod, Rod M. Connolly, Paul S. Lavery, Mathew A. Vanderklift

Research outputs 2014 to 2021

Worldwide, coastal systems provide some of the most productive habitats, which potentially influence a range of marine and terrestrial ecosystems through the transfer of nutrients and energy. Several reviews have examined aspects of connectivity within coastal seascapes, but the scope of those reviews has been limited to single systems or single vectors. We use the transfer of carbon to examine the processes of connectivity through multiple vectors in multiple ecosystems using four coastal seascapes as case studies. We discuss and compare the main vectors of carbon connecting different ecosystems, and then the natural and human-induced factors that influence the magnitude …

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A Comparison Of Aphasia Therapy Outcomes Before And After A Very Early Rehabilitation Programme Following Stroke, Erin Godecke, Natalie A. Ciccone, Andrew S. Granger, Tapan Rai, Deborah West, Angela Cream, Jade Cartwright, Graeme J. Hankey Jan 2014

A Comparison Of Aphasia Therapy Outcomes Before And After A Very Early Rehabilitation Programme Following Stroke, Erin Godecke, Natalie A. Ciccone, Andrew S. Granger, Tapan Rai, Deborah West, Angela Cream, Jade Cartwright, Graeme J. Hankey

Research outputs 2014 to 2021

Background Very early aphasia rehabilitation studies have shown mixed results. Differences in therapy intensity and therapy type contribute significantly to the equivocal results. Aims To compare a standardized, prescribed very early aphasia therapy regimen with a historical usual care control group at therapy completion (4-5 weeks post-stroke) and again at follow-up (6 months). Methods & Procedures This study compared two cohorts from successive studies conducted in four Australian acute/sub-acute hospitals. The studies had near identical recruitment, blinded assessment and data-collection protocols. The Very Early Rehabilitation (VER) cohort (N = 20) had mild-severe aphasia and received up to 20 1-h sessions …

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Contrasting Biogeochemical Cycles Of Cobalt In The Surface Western Atlantic Ocean, Gabrial Dulaquais, Marie Boye, Rob Middag, Stephanis Owens, Viene Puigcorbe, Ken Buesseler, Pere Masque´, Hein J. De Baar, Xavier Carton Jan 2014

Contrasting Biogeochemical Cycles Of Cobalt In The Surface Western Atlantic Ocean, Gabrial Dulaquais, Marie Boye, Rob Middag, Stephanis Owens, Viene Puigcorbe, Ken Buesseler, Pere Masque´, Hein J. De Baar, Xavier Carton

Research outputs 2014 to 2021

Dissolved cobalt (DCo; 0.2μm; 10%) to the DCo stock of the mixed layer in the equatorial and north subtropical domains. Biotic and abiotic processes as well as the physical terms involved in the biogeochemical cycle of Co were defined and estimated. This allowed establishing the first global budget of DCo for the upper 100m in the western Atlantic. The biological DCo uptake flux was the dominant sink along the section, as reflected by the overall nutrient-type behavior of DCo. The regeneration varied widely within the different biogeochemical domains, accounting for 10% of the DCo-uptake rate in the subarctic gyre and …

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Higher Breakfast Glycaemic Load Is Associated With Increased Metabolic Syndrome Risk, Including Lower Hdl-Cholesterol Concentrations And Increased Tag Concentrations, In Adolescent Girls, Analise Nicholl, Mary Du Heaume, Trevor A. Mori, Lawrence J. Beilin, Wendy H. Oddy, Alexandra P. Bremner, Therese A. O'Sullivan Jan 2014

Higher Breakfast Glycaemic Load Is Associated With Increased Metabolic Syndrome Risk, Including Lower Hdl-Cholesterol Concentrations And Increased Tag Concentrations, In Adolescent Girls, Analise Nicholl, Mary Du Heaume, Trevor A. Mori, Lawrence J. Beilin, Wendy H. Oddy, Alexandra P. Bremner, Therese A. O'Sullivan

Research outputs 2014 to 2021

Almost all previous studies examining the associations between glycaemic load (GL) and metabolic syndrome risk have used a daily GL value. The daily value does not distinguish between peaks of GL intake over the day, which may be more closely associated with the risk of the metabolic syndrome. The aim of the present study was to investigate the cross-sectional associations between daily and mealtime measures of GL and metabolic syndrome risk, including metabolic syndrome components, in adolescents. Adolescents participating in the 14-year follow-up of the Western Australian Pregnancy Cohort (Raine) Study completed 3 d food records and metabolic assessments. Breakfast …

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A Critical Review Of Habitat Use By Feral Cats And Key Directions For Future Research And Management, Tim S. Doherty, Andrew J. Bengsen, Robert A. Davis Jan 2014

A Critical Review Of Habitat Use By Feral Cats And Key Directions For Future Research And Management, Tim S. Doherty, Andrew J. Bengsen, Robert A. Davis

Research outputs 2014 to 2021

Feral cats (Felis catus) have a wide global distribution and cause significant damage to native fauna. Reducing their impacts requires an understanding of how they use habitat and which parts of the landscape should be the focus of management. We reviewed 27 experimental and observational studies conducted around the world over the last 35 years that aimed to examine habitat use by feral and unowned cats. Our aims were to: (1) summarise the current body of literature on habitat use by feral and unowned cats in the context of applicable ecological theory (i.e. habitat selection, foraging theory); (2) develop testable …

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Characterizing The Resolvability Of Real Superluminescent Diode Sources For Application To Optical Coherence Tomography Using A Low Coherence Interferometry Model, Paul V. Jansz, Steven Richardson, Graham Wild, Steven Hinckley Jan 2014

Characterizing The Resolvability Of Real Superluminescent Diode Sources For Application To Optical Coherence Tomography Using A Low Coherence Interferometry Model, Paul V. Jansz, Steven Richardson, Graham Wild, Steven Hinckley

Research outputs 2014 to 2021

The axial resolution is a critical parameter in determining whether optical coherent tomography (OCT) can be used to resolve specific features in a sample image. Typically, measures of resolution have been attributed to the light source characteristics only, including the coherence length and the point spread function (PSF) width of the OCT light sources. The need to cost effectively visualize the generated PSF and OCT cross-correlated interferogram (A-scan) using many OCT light sources have led to the extrinsic evolution of the OCT simulation model presented. This research indicated that empirical resolution in vivo, as well as depending on the light …

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Setting Goals And Choosing Appropriate Reference Sites For Restoring Mine Pit Lakes As Aquatic Ecosystems: Case Study From South West Australia, Eddie J. Van Etten, C. D. Mccullough, Mark A. Lund Jan 2014

Setting Goals And Choosing Appropriate Reference Sites For Restoring Mine Pit Lakes As Aquatic Ecosystems: Case Study From South West Australia, Eddie J. Van Etten, C. D. Mccullough, Mark A. Lund

Research outputs 2014 to 2021

Pit lakes may form when open cut mining leaves a pit void behind that fills with ground and surface water. Often replacing terrestrial ecosystems that existed prior to mining, the pit lake may offer an alternative ecosystem with aquatic biodiversity values that can be realised through planned restoration. Restoration theory and mine closure regulatory requirements guides us toward restoring disturbed systems towards landscapes that are of regional value and relevance. However, how do we identify a restoration target for a novel aquatic habitat that did not exist prior to the new post-mining landscape? This paper presents a process of first …

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Pax Genes: Regulators Of Lineage Specification And Progenitor Cell Maintenance, Judith A. Blake, Mel R. Ziman Jan 2014

Pax Genes: Regulators Of Lineage Specification And Progenitor Cell Maintenance, Judith A. Blake, Mel R. Ziman

Research outputs 2014 to 2021

Pax genes encode a family of transcription factors that orchestrate complex processes of lineage determination in the developing embryo. Their key role is to specify and maintain progenitor cells through use of complex molecular mechanisms such as alternate RNA splice forms and gene activation or inhibition in conjunction with protein co-factors. The significance of Pax genes in development is highlighted by abnormalities that arise from the expression of mutant Pax genes. Here, we review the molecular functions of Pax genes during development and detail the regulatory mechanisms by which they specify and maintain progenitor cells across various tissue lineages. We …

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Local And Semi-Global Feature-Correlative Techniques For Face Recognition, Asaad Noori Hashim, Zahir Hussain Jan 2014

Local And Semi-Global Feature-Correlative Techniques For Face Recognition, Asaad Noori Hashim, Zahir Hussain

Research outputs 2014 to 2021

Face recognition is an interesting field of computer vision with many commercial and scientific applications. It is considered as a very hot topic and challenging problem at the moment. Many methods and techniques have been proposed and applied for this purpose, such as neural networks, PCA, Gabor filtering, etc. Each approach has its weaknesses as well as its points of strength. This paper introduces a highly efficient method for the recognition of human faces in digital images using a new feature extraction method that combines the global and local information in different views (poses) of facial images. Feature extraction techniques …

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A Genetic Algorithm-Based Feature Selection, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen Jan 2014

A Genetic Algorithm-Based Feature Selection, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen

Research outputs 2014 to 2021

This article details the exploration and application of Genetic Algorithm (GA) for feature selection. Particularly a binary GA was used for dimensionality reduction to enhance the performance of the concerned classifiers. In this work, hundred (100) features were extracted from set of images found in the Flavia dataset (a publicly available dataset). The extracted features are Zernike Moments (ZM), Fourier Descriptors (FD), Lengendre Moments (LM), Hu 7 Moments (Hu7M), Texture Properties (TP) and Geometrical Properties (GP). The main contributions of this article are (1) detailed documentation of the GA Toolbox in MATLAB and (2) the development of a GA-based feature …

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Student Perceptions Of Online Interactive Versus Traditional Lectures; Or How I Managed Not To Fall Asleep With My Eyes Open, John A. O'Rourke, Susan J. Main, Martin G. Cooper Jan 2014

Student Perceptions Of Online Interactive Versus Traditional Lectures; Or How I Managed Not To Fall Asleep With My Eyes Open, John A. O'Rourke, Susan J. Main, Martin G. Cooper

Research outputs 2014 to 2021

Universities are increasingly experimenting with the online domain to connect with busy and digital-savvy students and counter the decline in face-to-face lecture attendance More often than not universities are offering videoed lectures or PowerPoints with lecturer voice-overs as a way of delivering content. Evidence suggests that while these techniques may provide the flexibility required, some content needs more personalised delivery. In this article the authors explore the development and delivery of an online lecture format. Using a combination of video, text and interactive cell technology, this online offering was trialed in a unit focused on the education of students with …

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On The Application Of Genetic Probabilistic Neural Networksand Cellular Neural Networks In Precision Agriculture, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen Jan 2014

On The Application Of Genetic Probabilistic Neural Networksand Cellular Neural Networks In Precision Agriculture, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen

Research outputs 2014 to 2021

This article details the effect of Gaussian smoothing parameter (spread) on the performance of Probabilistic Neural Networks (PNN). Two (2) different Genetic Algorithms (GAs) were used to optimize the PNN spread in order to avoid under and over fitting. In this work there is a novel combination of Cellular Neural Networks (CNN), Probabilistic Neural Networks (PNN) and GA to address the present challenges on automatic identification of plant species. Such problems include misclassification species of plants that are similar in shapes and image segmentation speed. In this work, GA was used in both feature selection and PNN parameter optimization. The …

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The Motivation And Identity Challenges For Phd Holders In The Transition To Science And Mathematics Teaching In Secondary Education: A Pilot Study, Robert Whannell, William J. Allen Jan 2014

The Motivation And Identity Challenges For Phd Holders In The Transition To Science And Mathematics Teaching In Secondary Education: A Pilot Study, Robert Whannell, William J. Allen

Research outputs 2014 to 2021

Australian secondary education has endured a chronic shortage of qualified mathematics and science teachers for a number of years, particularly in rural and remote areas. A longitudinal research project examining the capacity for the holders of PhD level qualifications in mathematics and science to be utilised as one means of addressing this shortage has been commenced at two regional Australian universities. This paper reports on the pilot study which utilised semi-structured interviews involving five participants at various stages of the transition into secondary school teaching. The interviews examined the motivations of the participants to enter secondary teaching and the challenges …

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Free-Space 120 Gb/S Reconfigurable Card-To-Card Optical Wireless Interconnects With 16-Cap Modulation, Ke Wang, Ampalavanapillai Nirmalathas, Christina Lim, Efstratios Skafidas, Kamal Alameh Jan 2014

Free-Space 120 Gb/S Reconfigurable Card-To-Card Optical Wireless Interconnects With 16-Cap Modulation, Ke Wang, Ampalavanapillai Nirmalathas, Christina Lim, Efstratios Skafidas, Kamal Alameh

Research outputs 2014 to 2021

In this paper, we propose and experimentally demonstrate reconfigurable card-to-card optical wireless interconnects architecture with 16-Carrierless-Amplitude/Phase modulation. Results show that 3×40 Gb/s interconnection is achieved with 2 mW transmission power.

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Application Of Cellular Neural Networks And Naive Bayes Classifier In Agriculture, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen Jan 2014

Application Of Cellular Neural Networks And Naive Bayes Classifier In Agriculture, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen

Research outputs 2014 to 2021

This article describes the use of Cellular Neural Networks (a class of Ordinary Differential Equation (ODE)), Fourier Descriptors (FD) and NaiveBayes Classifier (NBC) for automatic identification of images of plant leaves. The novelty of this article is seen in the use of CNN for image segmentation and a combination FDs with NBC. The main advantage of the segmentation method is the computation speed compared with other edge operators such as canny, sobel, Laplacian of Gaussian (LoG). The results herein show the potential of the methods in this paper for examining different agricultural images and distinguishing between different crops and weeds …

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Mobile Applications For Indian Agriculture Sector: A Case Study, Pratik Shah, Niketa Gandhi, Leisa Armstrong Jan 2014

Mobile Applications For Indian Agriculture Sector: A Case Study, Pratik Shah, Niketa Gandhi, Leisa Armstrong

Research outputs 2014 to 2021

Government, private agencies and the general public are often interested in the decisions made by the Indian farmers as they have large influences beyond the farm boundary. Over many years, the process of adoption of new technologies and policies in the Indian agricultural sector has received considerable academic attention highlighting the role of many social, financial and other influences on their decision making. The Indian government and other development agencies promote income generating projects as a way of encouraging growth through increased agricultural production and the protection of the natural resource base. The impact of new technology to economic growth …

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A Network That Really Works - The Application Of Artificial Neural Networks To Improve Yield Predictions And Nitrogen Management In Western Australia, Jinsong Leng, Andreas Neuhaus, Leisa Armstrong Jan 2014

A Network That Really Works - The Application Of Artificial Neural Networks To Improve Yield Predictions And Nitrogen Management In Western Australia, Jinsong Leng, Andreas Neuhaus, Leisa Armstrong

Research outputs 2014 to 2021

Yield predictions are notorious for being difficult due to many interdependent factors such as rainfall, soil properties, plant health, plant density etc. This study is based upon the author’s previously published work and extends its findings by further investigating the best mathematical solution to this dilemma. Artificial intelligence (AI) techniques have been applied to a large set of soil, plant, rainfall, and yield data from CSBP’s field research trial program. Here we further differentiate by investigate two ANN techniques, a genetic algorithm with back propagation neural networks (GA-BP-NN) and a particle swarm optimization with back propagation neural networks (PSO-BP-NN). Results …

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An Artificial Neural Network For Predicting Crops Yield In Nepal, Tirtha Ranjeet, Leisa Armstrong Jan 2014

An Artificial Neural Network For Predicting Crops Yield In Nepal, Tirtha Ranjeet, Leisa Armstrong

Research outputs 2014 to 2021

This paper examines the application of artificial neural networks (ANNs) for predicting crop yields for an agricultural region in Nepal. The neural network algorithm has become an effective data mining tool and the outcome produced by this algorithm is considered to be less error prone than other computer science techniques. The backpropagation algorithm which iteratively finds a suitable weight value is considered for computing the error derivative. Agricultural data was collected from thirteen years from paddy field cultivation in the Siraha district, an eastern region in Nepal, and used for this investigation of neural networks. Additionally, climatic parameters including rainfall, …

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A Survey Of Image Processing Techniques For Agriculture, Lalit Saxena, Leisa Armstrong Jan 2014

A Survey Of Image Processing Techniques For Agriculture, Lalit Saxena, Leisa Armstrong

Research outputs 2014 to 2021

Computer technologies have been shown to improve agricultural productivity in a number of ways. One technique which is emerging as a useful tool is image processing. This paper presents a short survey on using image processing techniques to assist researchers and farmers to improve agricultural practices. Image processing has been used to assist with precision agriculture practices, weed and herbicide technologies, monitoring plant growth and plant nutrition management. This paper highlights the future potential for image processing for different agricultural industry contexts.

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Role Of Icts In Improving Drought Scenario Management In India, Shubhangi S. Wankhede, Niketa Gandhi, Leisa Armstrong Jan 2014

Role Of Icts In Improving Drought Scenario Management In India, Shubhangi S. Wankhede, Niketa Gandhi, Leisa Armstrong

Research outputs 2014 to 2021

Drought is a natural phenomenon that affects social, economic and environmental sectors. It is caused due to low or no rainfall in the specific region and for some duration of time. Reduced soil moisture and ground water level are the other causes for drought. Based on its intensity, drought has impacts on various sectors like agriculture, transportation, forest fire, environment and many more. Agriculture is the major sector being affected by drought resulting in low crop production and having great detriment to economy of the country. In this paper, an attempt is made to study the different causes and effects …

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Genetic Algorithm With Logistic Regression For Prediction Of Progression To Alzheimer's Disease, Piers Johnson, Luke Vandewater, William Wilson, Paul Maruff, Greg Savage, Petra Graham, Lance S. Macaulay, Kathryn A. Ellis, Cassandra Szoeke, Ralph N. Martins, Christopher Rowe, Colin L. Masters, David Ames, Ping Zhang Jan 2014

Genetic Algorithm With Logistic Regression For Prediction Of Progression To Alzheimer's Disease, Piers Johnson, Luke Vandewater, William Wilson, Paul Maruff, Greg Savage, Petra Graham, Lance S. Macaulay, Kathryn A. Ellis, Cassandra Szoeke, Ralph N. Martins, Christopher Rowe, Colin L. Masters, David Ames, Ping Zhang

Research outputs 2014 to 2021

Assessment of risk and early diagnosis of Alzheimer's disease (AD) is a key to its prevention or slowing the progression of the disease. Previous research on risk factors for AD typically utilizes statistical comparison tests or stepwise selection with regression models. Outcomes of these methods tend to emphasize single risk factors rather than a combination of risk factors. However, a combination of factors, rather than any one alone, is likely to affect disease development. Genetic algorithms (GA) can be useful and efficient for searching a combination of variables for the best achievement (eg. accuracy of diagnosis), especially when the search …

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Integrating Soil And Plant Tissue Tests And Using An Artificial Intelligence Method For Data Modelling Is Likely To Improve Decisions For In-Season Nitrogen Management, Andreas Neuhaus, Leisa Armstrong, Jinsong Leng, Dean Diepeveen, Geoff Anderson Jan 2014

Integrating Soil And Plant Tissue Tests And Using An Artificial Intelligence Method For Data Modelling Is Likely To Improve Decisions For In-Season Nitrogen Management, Andreas Neuhaus, Leisa Armstrong, Jinsong Leng, Dean Diepeveen, Geoff Anderson

Research outputs 2014 to 2021

This paper hypothesizes that there is value in combining soil, climate and plant tissue data to give more reliable advice on nitrogen top-ups in-season when compared with models that are currently available. The benefit of soil and climate data is to factor in N mineralisation and potential yield while plant test data is a more direct approach of yield estimates when considering firstly plant N uptake from the whole soil profile and secondly biomass (important yield component). Plant test data are closer to yield in time and space than soil test data, shortening the time period for any yield prognosis …

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