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intelligent optimization » intelligent automation (Expand Search), intelligent identification (Expand Search), intelligent navigation (Expand Search)
integer optimization » filter optimization (Expand Search), linear optimization (Expand Search), energy optimization (Expand Search)
intelligent optimization » intelligent automation (Expand Search), intelligent identification (Expand Search), intelligent navigation (Expand Search)
integer optimization » filter optimization (Expand Search), linear optimization (Expand Search), energy optimization (Expand Search)
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Spatial pricing and warehouse assortment in online retailing
Published 2025“…We use a similar framework to manage the intricacies of the optimization problem and propose a strategy for the joint spatial pricing and warehouse assortment problem, ensuring near-optimal profit with a small optimality gap. …”
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Thesis-Doctor of Philosophy -
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Vision enhancement using artificial intelligence techniques
Published 2019“…This dissertation uses the concept of artificial intelligence and deep learning, with a focus on removing rainwater from heavy rain videos based on a former research published on CVPR in 2018 carried out by my supervisor. …”
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Thesis -
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Distributed decisions on TV spectrum allocation considering spatial and temporal variation
Published 2018“…In this paper, we first formulate the TV spectrum allocation problem as a 0–1 integer optimization problem, and then we approximate our optimal objective via Log-Sum-Exp function. …”
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Journal Article -
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A multi-layer CNN-GRUSKIP model based on transformer for spatial: temporal traffic flow prediction
Published 2024“…Traffic flow prediction remains a cornerstone for intelligent transportation systems (ITS), influencing both route optimization and environmental efforts. …”
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Physics-Informed Deep Learning for Plasma Etch Optimization
Published 2024“…The application of artificial intelligence (AI) and machine learning (ML) techniques in optimizing these steps presents a revolutionary prospect for the industry. …”
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Thesis -
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Assignment optimization of pandemic influenza antiviral drugs in Urban pharmacies
Published 2020Get full text
Journal Article -
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Robust and efficient deep learning methods for vision-based action recognition
Published 2021Get full text
Thesis-Doctor of Philosophy -
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Tools for multi-agent crowd simulation : redesigning and extending the COSMOS crowd simulation suite
Published 2012Get full text
Final Year Project (FYP) -
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Exact algorithms for continuous pricing with advanced discrete choice demand models
Published 2024“…We present a spatial Branch and Bound and spatial Branch and Benders Decomposition approach together with the Breakpoint Exact Algorithm (BEA) to tackle the uncapacitated choice-based pricing problem (CPP) where demand is captured by a discrete choice model (DCM) based on the random utility principle. …”
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Online map-matching based on Hidden Markov model for real-time traffic sensing applications
Published 2013“…We focused on two improvements over existing HMM-based algorithms: (1) the use of an optimal localizing strategy, the variable sliding window (VSW) method, that guarantees the online solution quality under uncertain future inputs, and (2) the novel combination of spatial, temporal and topological information using machine learning. …”
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Conference Paper -
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Risk assessment and its visualization of power tower under typhoon disaster based on machine learning algorithms
Published 2019“…On the knowledge extraction layer, six intelligent risk prediction models are established based on machine learning algorithms by hyperparameter optimization. …”
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Journal Article -
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Spatio temporal traffic pediction for a large-scale road network
Published 2019“…In a country like Singapore, which is adapting the Smart Nation program, Intelligent Transport Systems (ITS) plays a key role. …”
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Thesis -
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Discrete differential geometry driven methods for architectural geometry
Published 2022“…The method links the original data model to the edited geometry using point set registration, recovering the existing information based on spatial and UV search methods, and automatically labels the newly created geometry. …”
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Thesis-Doctor of Philosophy -
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Leveraging transfer learning for spatio-temporal human activity recognition from video sequences
Published 2023“…It uses two-stream ConvNet to extract spatial and temporal information and proposes a fine-tuned deep neural network. …”
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