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Intelligent Simulation of Emotion Recognition Sensing Based on Network Data Security in Employment and Entrepreneurship Services
Published in Internet Technology Letters (2026)Get full text
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Open-set recognition using extreme value theory
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Dental implant recognition
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Strategic supply chain management using simulation
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The development of a visualization tool to assist topographic map users
Published 2012Get full text
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Generalised, multilingual, optical Braille recognition models
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Fast accurate diphone-based phoneme recognition
Published 2009Get full text
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Face recognition with partial occlusions using weighing and image segmentation
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The design and implementation of a radar simulator
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The butcher, the baker, the candlestick maker: investigating facial recognition for multiple-perpetrator crimes
Published 2019“…I studied these problems in the following ways: (a) a survey among South African detectives (N = 75) to investigate how multiple suspect parades are administered in practice; (b) two face recognition experiments where the number of face-attribute pairs was manipulated at encoding to investigate the effect of set size on both item recognition (for attributes and faces), and associative memory performance (i.e., matching identity to role; N = 70, and N = 67); (c) an eyewitness experiment where participants studied a simulated crime committed by up to 10 perpetrators whom they had to recognise later (N = 200); and (d) a set of simulations testing a revised version of the Interactive Activation and Competition network proposed by Burton et al. (1990) as a computational account of the memory difficulties experienced by eyewitnesses to multiple-perpetrator crimes. …”
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Human-computer interface using a web camera
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Diagnostic monitoring of dynamic systems using artificial immune systems
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Entropy-based attention for inference in probabilistic graphical models
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Machine learning models for mass appraisals: advancing valuations in the digital era
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A machine learning framework for security forecasting and trading
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The Impact of peptide flanking residues on predicting peptide-MHC-II binding interactions using convolutional Neural Networks
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Design and Implementation of UVM-based Verification Framework for Deep Learning Accelerators
Published 2025“…Recent advancements in deep learning (DL) have made hardware accelerators, known as deep learning accelerators (DLAs), a preferred solution for numerous high-performance computing (HPC) applications, including speech recognition, computer vision, and image classification. …”
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