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301
Study of LIDAR mapping technology
Published 2013“…If LIDAR datasets are needed to be converted into either a regular or a square, grayscale grid image in terms of elevation, objects will be classified by the change of gray tone. …”
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Final Year Project (FYP) -
302
Intermittent demand forecasting
Published 2013“…Forecast of demand of products having regular and uniform usage pattern is easily accomplished. …”
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Final Year Project (FYP) -
303
Effect of acute resistance exercise on cognition and creativity in healthy, well-trained university undergraduates
Published 2016“…Participants must be non-obese and have at least 1 year of regular RE experience with minimum 3 days a week. …”
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Final Year Project (FYP) -
304
Sympathetic-neuron-derived neuropeptide Y (NPY) regulates adipose tissue immunometabolic homeostasis
Published 2024“…These cKO mice have whitened BAT with reduced thermogenic ability and lower energy expenditure even before the onset of obesity; they develop adult-onset obesity on a regular chow diet and are more susceptible to diet-induced obesity without increasing food consumption. …”
Thesis -
305
Sleep and circadian difficulties in schizophrenia: presentations, understanding, and treatment
Published 2025“…These difficulties include: troubles falling asleep, staying asleep, or sleeping at all; nightmares and other awakenings; poor-quality sleep; oversleeping; tiredness; sleeping at the wrong times; and problems establishing a regular sleep pattern. The patient group is also more vulnerable to obstructive sleep apnoea and restless legs syndrome. …”
Journal article -
306
Evolution PDEs on graphs and inverse problems in aggregation-diffusion equations
Published 2024“…We use the PDE's numerical solutions as data and propose a quadratic error functional enhanced with sparsity promoting regularization to solve the learning problem. We obtain stability estimates showing that this error functional controls the 2-Wasserstein distance between solutions generated by the true and learned interaction potential and show the effectiveness of our approach with numerical examples in one and two dimensions.…”
Thesis -
307
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308
Developing a method for evaluating the value of hoisting risk response strategies: a multi-stakeholder perspective
Published 2024“…Three coping strategies, “Increase funding for lifting equipment and safety devices,” “Improve the quality of safety education and training on lifting construction,” and “Conduct regular emergency rescue drills for lifting accidents,” have the optimal ratio of benefits to costs. …”
Article -
309
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310
A secret of high-rate mass transfer in anammox granular sludge : "lung-like breathing"
Published 2021“…The results showed that the AnGS had a regular expansion and contraction phenomenon, which was called “lung-like breathing”. …”
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Journal Article -
311
HLO : half-kernel laplacian operator for surface smoothing
Published 2021“…The half window with least regularization energy is then chosen for v. We develop an iterative approach to apply HLO for surface denoising. …”
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Journal Article -
312
A Brewster route to Cherenkov detectors
Published 2022“…Our angular-selective Brewster paradigm offers a feasible solution to implement compact and highly sensitive Cherenkov detectors especially in beam lines with a small angular divergence using regular dielectrics.…”
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Journal Article -
313
Quantile regression for survival data with covariates subject to detection limits
Published 2021“…To estimate the quantile process of regression coefficients, we develop a novel multiple imputation approach based on another quantile regression for covariates under DL, avoiding stringent parametric restrictions on censored covariates as often assumed in the literature. Under regularity conditions, we show that the estimation procedure yields uniformly consistent and asymptotically normal estimators. …”
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Journal Article -
314
Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation
Published 2022“…In this paper, we propose a simple yet effective approach to tackle background ambiguities, which adopts the entropy of predictions on query samples to the training objective function as an additional regularization. Besides, we design a feature transformation operation to reduce the feature differences between support and query samples. …”
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Journal Article -
315
Study of flow, bioheat transfer and cardiac thermal pulse of aneurysm in the abdominal aortic
Published 2023“…AAA had a CTP that only responded to systolic phase at regular body temperature. Whereas the AAA wall would establish thermal homeostasis with blood temperature following a quasi-linear relationship as the body experienced fever or stage-2 hypothermia. …”
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Journal Article -
316
Living with fibrodysplasia ossificans progressiva: radiological images of a patient with extensive heterotopic ossification
Published 2023“…Her SF-36 scores suggested significant impairment in physical function, affecting work and other regular daily activities. Radiographic evaluation with X-rays and CT scans revealed scoliosis and total fusion of almost all levels of the spine, with only a few disc spaces spared. …”
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Journal Article -
317
Region embedding with intra and inter-view contrastive learning
Published 2023“…We design the intra-view contrastive learning module which helps to learn distinguished region embeddings and the inter-view contrastive learning module which serves as a soft co-regularizer to constrain the embedding parameters and transfer knowledge across multi-views. …”
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Journal Article -
318
Empowering student self-regulated learning and science education through ChatGPT: a pioneering pilot study
Published 2024“…The experimental group used SRLbot to maintain a regular study habit and facilitate their SRL, while the control group utilized rule-based AI chatbots. …”
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Journal Article -
319
Smart sleep monitoring: sparse sensor-based spatiotemporal CNN for sleep posture detection
Published 2024“…For patients confined to beds, regular changes in posture are crucial to prevent the development of ulcers and bedsores. …”
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Journal Article -
320
Sparse low-rank matrix approximation for data compression
Published 2018“…Technically, we formulate SLRMA as a constrained optimization problem, i.e., minimizing the approximation error in the least-squares sense regularized by the 0-norm and orthogonality, and solve it using the inexact augmented Lagrangian multiplier method. …”
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Journal Article