Swinburne University of Technology

∙ Hawthorn , Australia ∙ 0 followers

The Centre for Transformative Innovation (CTI) was founded in 2014 as part of Swinburne's Faculty of Business and Law. CTI was launched with the aim of better informing public debate on public and corporate policy on innovation. We are multi-disciplinary, politically non-aligned, impartial and independent. Our researchers have a strong record of publications in leading economics, public policy and social science journals, including: The Review of Economics and Statistics, RAND Journal of Economics, European Economic Review, Economics Letters, American Journal of Agricultural Economics, Strategic Management Journal, Research Policy, PLoS ONE, Regional Studies, National Tax Journal, British Journal of Sociology, Organization Science, American Journal of Public Health, Oxford Economic Papers, Journal of Economic Surveys, Cambridge Journal of Economics, Journal of Mathematical Psychology, Oxford Bulletin of Economics and Statistics, Oxford Review of Economic Policy, Health Economics, and Energy Economics.

An Improved Naive Bayes Classifier-based Noise Detection Technique for Classifying User Phone Call Behavior

The presence of noisy instances in mobile phone data is a fundamental is...
10/12/2017 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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Weighted diffusion LMP algorithm for distributed estimation in non-uniform noise conditions

This letter presents an improved version of diffusion least mean ppower ...
08/06/2016 ∙ by H. Zayyani, et al. ∙ 0 ∙ share

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Double-detector for Sparse Signal Detection from One Bit Compressed Sensing Measurements

This letter presents the sparse vector signal detection from one bit com...
07/02/2016 ∙ by Hadi Zayyani, et al. ∙ 0 ∙ share

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Sparse Diffusion Steepest-Descent for One Bit Compressed Sensing in Wireless Sensor Networks

This letter proposes a sparse diffusion steepest-descent algorithm for o...
01/03/2016 ∙ by Hadi Zayyani, et al. ∙ 0 ∙ share

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Dictionary Learning for Blind One Bit Compressed Sensing

This letter proposes a dictionary learning algorithm for blind one bit c...
08/30/2015 ∙ by Hadi Zayyani, et al. ∙ 0 ∙ share

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Bayesian Hypothesis Testing for Block Sparse Signal Recovery

This letter presents a novel Block Bayesian Hypothesis Testing Algorithm...
08/22/2015 ∙ by Mehdi Korki, et al. ∙ 0 ∙ share

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Iterative Bayesian Reconstruction of Non-IID Block-Sparse Signals

This paper presents a novel Block Iterative Bayesian Algorithm (Block-IB...
12/07/2014 ∙ by Mehdi Korki, et al. ∙ 0 ∙ share

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Off-grid Direction of Arrival Estimation Using Sparse Bayesian Inference

Direction of arrival (DOA) estimation is a classical problem in signal p...
08/30/2011 ∙ by Zai Yang, et al. ∙ 0 ∙ share

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Tera-scale Astronomical Data Analysis and Visualization

We present a high-performance, graphics processing unit (GPU)-based fram...
11/20/2012 ∙ by A. H. Hassan, et al. ∙ 0 ∙ share

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A Distributed GPU-based Framework for real-time 3D Volume Rendering of Large Astronomical Data Cubes

We present a framework to interactively volume-render three-dimensional ...
05/01/2012 ∙ by A. H. Hassan, et al. ∙ 0 ∙ share

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Interchanging Interactive 3-d Graphics for Astronomy

We demonstrate how interactive, three-dimensional (3-d) scientific visua...
10/23/2008 ∙ by C. J. Fluke, et al. ∙ 0 ∙ share

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Modelling and Analysis of Temporal Preference Drifts Using A Component-Based Factorised Latent Approach

The changes in user preferences can originate from substantial reasons, ...
02/27/2018 ∙ by F. Zafari, et al. ∙ 0 ∙ share

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Defensive Collaborative Multi-task Training - Defending against Adversarial Attack towards Deep Neural Networks

Deep neural network (DNNs) has shown impressive performance on hard perc...
03/14/2018 ∙ by Derek Wang, et al. ∙ 0 ∙ share

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The Maximum Trajectory Coverage Query in Spatial Databases

With the widespread use of GPS-enabled mobile devices, an unprecedented ...
04/02/2018 ∙ by Mohammed Eunus Ali, et al. ∙ 0 ∙ share

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Mining User Behavioral Rules from Smartphone Data through Association Analysis

The increasing popularity of smart mobile phones and their powerful sens...
03/19/2018 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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Automated Big Traffic Analytics for Cyber Security

Network traffic analytics technology is a cornerstone for cyber security...
04/24/2018 ∙ by Yuantian Miao, et al. ∙ 0 ∙ share

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Using AI to Hack IA: A New Stealthy Spyware Against Voice Assistance Functions in Smart Phones

Intelligent Personal Assistant (IA), also known as Voice Assistant (VA),...
05/16/2018 ∙ by Rongjunchen Zhang, et al. ∙ 0 ∙ share

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Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps

Android users are increasingly concerned with the privacy of their data ...
05/18/2018 ∙ by Tingmin Wu, et al. ∙ 0 ∙ share

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Immutable Autobiography of Smart Cars

The popularity of smart cars is increasing around the world as they offe...
10/19/2018 ∙ by Md Sadek Ferdous, et al. ∙ 0 ∙ share

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SilentPhone: Inferring User Unavailability based Opportune Moments to Minimize Call Interruptions

The increasing popularity of cell phones has made them the most personal...
10/15/2018 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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Research Issues in Mining User Behavioral Rules for Context-Aware Intelligent Mobile Applications

Context-awareness in smart mobile applications is a growing area of stud...
10/30/2018 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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Mobile Data Science: Towards Understanding Data-Driven Intelligent Mobile Applications

Due to the popularity of smart mobile phones and context-aware technolog...
10/15/2018 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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Understanding the Role of Data-Centric Social Context in Personalized Mobile Applications

Context-awareness in personalized mobile applications is a growing area ...
10/15/2018 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior

Mobile phones can record individual's daily behavioral data as a time-se...
11/15/2018 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers

Demand response (DR) is not only a crucial solution to the demand side m...
01/10/2019 ∙ by Jianhai Chen, et al. ∙ 0 ∙ share

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Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples

We demonstrated that Non-Maximum Suppression (NMS), which is commonly us...
02/06/2019 ∙ by Derui Wang, et al. ∙ 0 ∙ share

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A Machine Learning based Robust Prediction Model for Real-life Mobile Phone Data

Real-life mobile phone data may contain noisy instances, which is a fund...
02/11/2019 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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Service Capacity Enhanced Task Offloading and Resource Allocation in Multi-Server Edge Computing Environment

An edge computing environment features multiple edge servers and multipl...
03/12/2019 ∙ by Wei Du, et al. ∙ 0 ∙ share

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Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization

The quality of images captured in outdoor environments can be affected b...
04/18/2019 ∙ by Jiaxi He, et al. ∙ 0 ∙ share

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Bug Searching in Smart Contract

With the frantic development of smart contracts on the Ethereum platform...
05/02/2019 ∙ by Xiaotao Feng, et al. ∙ 0 ∙ share

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A Feature-Oriented Corpus for Understanding, Evaluating and Improving Fuzz Testing

Fuzzing is a promising technique for detecting security vulnerabilities....
05/04/2019 ∙ by Xiaogang Zhu, et al. ∙ 0 ∙ share

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The Audio Auditor: Participant-Level Membership Inference in Voice-Based IoT

Voice interfaces and assistants implemented by various services have bec...
05/17/2019 ∙ by Yuantian Miao, et al. ∙ 0 ∙ share

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The Audio Auditor: Participant-Level Membership Inference in Internet of Things Voice Services

Voice interfaces and assistants implemented by various services have bec...
05/17/2019 ∙ by Yuantian Miao, et al. ∙ 0 ∙ share

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Edge User Allocation with Dynamic Quality of Service

In edge computing, edge servers are placed in close proximity to end-use...
07/26/2019 ∙ by Phu Lai, et al. ∙ 0 ∙ share

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A novel text representation which enables image classifiers to perform text classification, applied to name disambiguation

Patent data are often used to study the process of innovation and resear...
08/19/2019 ∙ by Stephen M. Petrie, et al. ∙ 0 ∙ share

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CalBehav: A Machine Learning based Personalized Calendar Behavioral Model using Time-Series Smartphone Data

The electronic calendar is a valuable resource nowadays for managing our...
09/02/2019 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud

Clustering big data often requires tremendous computational resources wh...
09/22/2019 ∙ by Dongwei Li, et al. ∙ 0 ∙ share

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E-MIIM: An Ensemble Learning based Context-Aware Mobile Telephony Model for Intelligent Interruption Management

Nowadays, mobile telephony interruptions in our daily life activities ar...
08/25/2019 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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AppsPred: Predicting Context-Aware Smartphone Apps using Random Forest Learning

Due to the popularity of context-awareness in the Internet of Things (Io...
08/26/2019 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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Optimizing the Transition Waste in Coded Elastic Computing

Distributed computing, in which a resource-intensive task is divided int...
10/02/2019 ∙ by Hoang Dau, et al. ∙ 0 ∙ share

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Corrfunc: Blazing fast correlation functions with AVX512F SIMD Intrinsics

Correlation functions are widely used in extra-galactic astrophysics to ...
11/15/2019 ∙ by Manodeep Sinha, et al. ∙ 0 ∙ share

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Finding Effective Geo-Social Group for Impromptu Activity with Multiple Demands

Geo-social group search aims to find a group of people proximate to a lo...
12/18/2019 ∙ by Lu Chen, et al. ∙ 0 ∙ share

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Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments

Predictive analytics in Mobile Edge Computing (MEC) based Internet of Th...
06/07/2020 ∙ by Prabath Abeysekara, et al. ∙ 0 ∙ share

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PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors

Precise segmentation of organs and tumors plays a crucial role in clinic...
07/02/2020 ∙ by Ziqiang Li, et al. ∙ 0 ∙ share

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A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization

Conventional DNN training paradigms typically rely on one training set a...
07/02/2020 ∙ by Boyu Zhang, et al. ∙ 0 ∙ share

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Efficient Exact Algorithms for Maximum Balanced Biclique Search in Bipartite Graphs

Given a bipartite graph, the maximum balanced biclique (MBB) problem, di...
07/17/2020 ∙ by Lu Chen, et al. ∙ 0 ∙ share

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On the Security of Networked Control Systems in Smart Vehicle and its Adaptive Cruise Control

With the benefits of Internet of Vehicles (IoV) paradigm, come along unp...
08/02/2020 ∙ by Faezeh Farivar, et al. ∙ 0 ∙ share

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Efficiently Finding a Maximal Clique Summary via Effective Sampling

Maximal clique enumeration (MCE) is a fundamental problem in graph theor...
09/22/2020 ∙ by Xiaofan Li, et al. ∙ 0 ∙ share

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