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2181
Effect of a novel mesh design and the sandblasting technique on the bond strength of computer-designed and three-dimension laser printed resin bonded bridges: an in vitro study
Published 2024-04-01“…A total of 48 lower incisors were embedded in acrylic bases according to a standardized computer-generated model to receive 24 metal RBBs. The two groups underwent distinct metal surface treatments: the 3D mesh novel design and sandblasting with aluminum oxide particles sized at 250.00 µm. …”
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Article -
2182
Modelling height in adolescence: a comparison of methods for estimating the age at peak height velocity
Published 2017-11-01“…Preece & Baines achieved close to unbiased estimates, but shares similarity with the data generation model for our simulation study and was also computationally inefficient, taking 24 hours to fit the data from Christ’s Hospital School. …”
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Article -
2183
Revision total talus replacement with constrained implant
Published 2022-01-01“…Total talus replacements are a relatively new implant type with limited data available in the literature concerning the most recent, third generation model. The non-constrained version of these implants contains the largest breadth of published literature and have performed well in mid-term length studies. …”
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Article -
2184
A Rolling Bearing Fault Diagnosis Based on Conditional Depth Convolution Countermeasure Generation Networks under Small Samples
Published 2022-07-01“…Firstly, the concept of conditional constraints is used to guide and improve the sample generation process of the original generative adversarial network, and specific constraints are added to the data generation model to perform a balanced expansion of muti-category fault data for small sample data sets. …”
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Article -
2185
The Use of Deep Learning-Based Intelligent Music Signal Identification and Generation Technology in National Music Teaching
Published 2022-06-01“…Then, by selecting massive music data, the music style discrimination and generation model is tested. The experimental results show that when the number of hidden layers of the designed model is 4 and the number of neurons in each layer is 1,024, 512, 256, and 128, the training result difference of the model is the smallest. …”
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Article -
2186
Descriptor extraction on inherent creep strength of carbon steel by exhaustive search
Published 2021-01-01“…From these results, it is concluded that the Mo-only model is the most appropriate as a data generation model. The selected Mo-only model was confirmed to have high predictivity of the creep life.…”
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Article -
2187
Improving Performance of Neural IR Models by Using a Keyword-Extraction-Based Weak-Supervision Method
Published 2024-01-01“…Existing studies propose synthetic queries derived from targeted passages using trained query generation models, which require q-d pair data from other domains for their training. …”
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Article -
2188
Benchmarking variational AutoEncoders on cancer transcriptomics data.
Published 2023-01-01“…Deep generative models, such as variational autoencoders (VAE), have gained increasing attention in computational biology due to their ability to capture complex data manifolds which subsequently can be used to achieve better performance in downstream tasks, such as cancer type prediction or subtyping of cancer. …”
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Article -
2189
Cross-Project Defect Prediction with Metrics Selection and Balancing Approach
Published 2022-12-01“…In the prediction process phase, the generated model predicts the historical data from other projects, which has defects or clean. …”
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2190
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2191
Mediating the Marginal: A Computational Analysis of Representational Hierarchies, Aesthetic Tourism, and Queer Imagination on Instagram
Published 2022“…A coupled differential reading of dominant representational paradigms, hashtag usage, and normative generative modeling within the Explore feed of a gay-coded user further exposes the co-option of Black and queer aesthetics, as well as an overwhelming promotion of hypermasculine and homonormative content. …”
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Thesis -
2192
Learning-based Methods for Occluder-aided Non-Line-of-Sight Imaging
Published 2022“…We present a learning-based framework that exploits deep generative models and demonstrate the promise of this framework via simulations.…”
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Thesis -
2193
Accuracy of embodied carbon estimation during early-stage structural design
Published 2022“…This work explores the ability of an improved building model generator to predict the embodied carbon stemming from structural members, specifically floors, beams, columns, foundations, and structural walls. The generated models can take the shape of any building outline - no matter how complex - and allow designers to adjust important design parameters including column spacing, beam spacing, loading, materiality, and more. …”
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Thesis -
2194
Petroleum Source Rock Logging
Published 2012“…Regional distributions of organic content are an important aid in developing basin evolution and hydrocarbon generation models. An approach to evaluate hydrocarbon source rocks using resistivity, sonic, density, neutron and natural gamma ray logs is developed. …”
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Technical Report -
2195
Context-dependent type-level models for unsupervised morpho-syntactic induction
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Thesis -
2196
Multi-domain anime image generation and editing
Published 2022“…Generative models such as text-to-image and image-to-image have been very successful to date. …”
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Final Year Project (FYP) -
2197
Temporal consistent video editing using diffusion models
Published 2024“…This project aims to explore approaches to replicate the success of image generation models in the video domain, in particular relating to the problem of achieving temporal consistency. …”
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Final Year Project (FYP) -
2198
Heat generation performance of a homemade friction stir welding tool
Published 2014“…It was observed that FSW parameters which involved dominantly in the heat generation were spindle speed, feeding rate and normal force. The heat generation model of FSW process was validated with the one from the experimental investigation. …”
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Article -
2199
Neural networks for inference, inference for neural networks
Published 2018“…</p> <p>NNs are helpful for Bayesian inference in generative models. They are useful for producing the flexible variational families required for successful variational inference (VI), as well as learning distributed representations of model variables for guiding the distributional relationships of the model. …”
Thesis -
2200
Making tissue engineering scaffolds work. Review: the application of solid freeform fabrication technology to the production of tissue engineering scaffolds.
Published 2003“…Solid freeform fabrication (SFF) uses layer-manufacturing strategies to create physical objects directly from computer-generated models. It can improve current scaffold design by controlling scaffold parameters such as pore size, porosity and pore distribution, as well as incorporating an artificial vascular system, thereby increasing the mass transport of oxygen and nutrients into the interior of the scaffold and supporting cellular growth in that region. …”
Journal article