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 by Mariam Diab, Mawia Karkoutly, Shaza kanout, Jihad Abou Nassar

“…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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Modelling height in adolescence: a comparison of methods for estimating the age at peak height velocity by Andrew J. Simpkin, Adrian Sayers, Mark S. Gilthorpe, Jon Heron, Kate Tilling

“…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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Revision total talus replacement with constrained implant by Keegan A. Duelfer, DPM, Jeffrey E. McAlister, DPM, FACFAS

“…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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A Rolling Bearing Fault Diagnosis Based on Conditional Depth Convolution Countermeasure Generation Networks under Small Samples by Cheng Peng, Shuting Zhang, Changyun Li

“…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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The Use of Deep Learning-Based Intelligent Music Signal Identification and Generation Technology in National Music Teaching by Hui Tang, Hui Tang, Yiyao Zhang, Qiuying Zhang

“…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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Descriptor extraction on inherent creep strength of carbon steel by exhaustive search by Junya Sakurai, Masahiko Demura, Yoh-ichi Mototake, Masato Okada, Masayoshi Yamazaki, Junya Inoue

“…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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Improving Performance of Neural IR Models by Using a Keyword-Extraction-Based Weak-Supervision Method by Suehyun Chang, Geun-Jin Ahn, Sungbum Park

“…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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Benchmarking variational AutoEncoders on cancer transcriptomics data. by Mostafa Eltager, Tamim Abdelaal, Mohammed Charrout, Ahmed Mahfouz, Marcel J T Reinders, Stavros Makrodimitris

“…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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Cross-Project Defect Prediction with Metrics Selection and Balancing Approach by Nevendra Meetesh, Singh Pradeep

“…In the prediction process phase, the generated model predicts the historical data from other projects, which has defects or clean. …”
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Infrastructure for modeling and inference engineering with 3D generative scene graphs by Garrett, Austin J.

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Mediating the Marginal: A Computational Analysis of Representational Hierarchies, Aesthetic Tourism, and Queer Imagination on Instagram by Souza, Garrett

“…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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Learning-based Methods for Occluder-aided Non-Line-of-Sight Imaging by Medin, Safa C.

“…We present a learning-based framework that exploits deep generative models and demonstrate the promise of this framework via simulations.…”
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Accuracy of embodied carbon estimation during early-stage structural design by Bastian, Luke

“…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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Petroleum Source Rock Logging by Mendelson, James

“…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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Context-dependent type-level models for unsupervised morpho-syntactic induction by Lee, Yoong Keok

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Multi-domain anime image generation and editing by Aravind S/O Sivakumaran

“…Generative models such as text-to-image and image-to-image have been very successful to date. …”
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Temporal consistent video editing using diffusion models by Bai, Shun Yao

“…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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Heat generation performance of a homemade friction stir welding tool by Hilmy, Irfan, Adesta, Erry Yulian Triblas, Riza, Muhammad

“…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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Neural networks for inference, inference for neural networks by Webb, S

“…</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. …”

Making tissue engineering scaffolds work. Review: the application of solid freeform fabrication technology to the production of tissue engineering scaffolds. by Sachlos, E, Czernuszka, J

“…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. …”