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A predicting phishing websites using support vector machine and multi-class classification based on association rule techniques
Published 2018-06ArticleFull Text AvailableAccess Repository -
A predicting phishing websites using support vector machine and multi-class classification based on association rule techniques
Published 2018-06ArticleFull Text AvailableAccess Repository -
Multi-object and multi-feature models of thumb anatomy for population based morphological assessment
Published 2025“…The primary aim of this research was to develop a methodology for the use of computed tomography (CT) imaging in the characterisation of biomechanical risk factors of OA in the TMC joint using data from OA-affected and control subjects. …”
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Standby redundant control using Erlang/OTP and JADE for a manufacturing cell.
Published 2019Get full text
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Optimisation of multi-scale ventilated package design for next-generation cold chain strategies of horticulture produce
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Superconducting neural network using quantum-flux parametrons
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Mapping real-world objects into virtual reality to facilitate interaction using 6dof pose estimation
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On the feasibility of Moodle use to assist deaf and hard of hearing Grade 9 learners with mathematics problem-solving
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Driving dynamic multi-objective optimizations constrained by decision-makers' preferences
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A hyperheuristic approach towards the training of artificial neural networks
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Origins of Systemic to Pulmonary Collateral Arteries and their Relative Frequencies in Patients with Pulmonary Artery Atresia or Stenosis as determined using Multidetector Computed...
Published 2019“…AIM: This study aims to guide radiologists, cardiologists and cardiothoracic surgeons in their search for SPC/s and to recommend an accurate, informative and standardised nomenclature system for SPC/s based on the relative frequency of SPC/s origins in patients with PA or PS identified using multi-detector computed tomography arteriography (MDCTA). …”
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DDoS defence for service availability in cloud computing
Published 2017“…The main contributions are as follows: (i) This thesis proposes an IP spoofing detection technique that uses a passive and active host-based operating system (OS) fingerprinting to detect the true source of a packet during a spoofed DDoS attack; (ii) this thesis proposes an ensemble-based multi-filter feature selection (EMFFS) method that combines the output of four filter methods to achieve an optimum selection, and a decision-tree classifier to detect DDoS attacks; and (iii) this thesis proposes a change-point monitoring algorithm to detect DDoS flooding attacks against cloud services, by examining the packet IAT. …”
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COMPUTATIONAL INFERENCE TECHNIQUE FOR MINING STRUCTURED MOTIFS
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The modelling of TCP traffic in MPLS networks
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The ribbon microphone multi‑physics educational aid
Published 2017Get full text
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