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A Generalized Multi-Layer Framework for Video Coding to Select Prediction Parameters
Published 2018-01-01“…The exploitation of the RDO technique contributes significantly to increase the computational complexity of the coding process. In this paper, a generalized multi-layer framework is presented, which provides a hierarchical optimized way to select MB prediction parameters. …”
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VVC coded distortion prediction model based on frame-level transform coefficient modeling of generalized Gaussian distribution
Published 2023-04-01“…In versatile video coding (VVC), a variety of advanced coding tools work together to achieve excellent coding performance.Compared with high efficient video coding (HEVC), the transform coefficient distribution (TCD) of VVC has sharper peaks.In order to solve this phenomenon, the probability density function (PDF) of frame-level TCD was modeled, and a frame-level coding distortion prediction model based on statistical modeling was proposed, which modeled frame-level distortion as a function of TCD distribution parameters and quantization parameters.The experimental results show that compared with the Laplace distribution and Cauchy distribution, the generalized Gaussian distribution has the best performance in TCD probability density fitting.The prediction results based on the generalized Gaussian distribution distortion prediction model are closest to the actual coding distortion.…”
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LPItabformer: Enhancing generalization in predicting lncRNA-protein interactions via a tabular Transformer
Published 2025-01-01“…Ultimately, we have verified that the LPItabformer is capable of predicting novel LPIs. Code is available at https://github.com/Ci-TJ/LPItabformer.…”
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Аdaptive combined image coding with prediction of arithmetic code volume
Published 2021-03-01“…To adapt the structure of the combined encoder to the distribution of bits in the bit planes of DPCM pixel values, the article proposes to use prediction of the volume of arithmetic code based on entropy and comparison of the obtained predicted value with the volume of run length code. …”
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Predictive coding in musical anhedonia: A study of groove.
Published 2024-01-01“…Groove, or the pleasurable urge to move to music, offers unique insight into the relationship between emotion and action. The predictive coding of music model posits that groove is linked to predictions of music formed over time, with stimuli of moderate complexity rated as most pleasurable and likely to engender movement. …”
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How Reliable Is the G41 Discharge Code for Status Epilepticus?
Published 2025-03-01“…Of the 400 hospitalizations with a G410 (generalized convulsive SE) code, 72.7% were classified as generalized convulsive SE, while 76.5% of the 149 hospitalizations with a G412 (focal SE) code were classified as focal SE. …”
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Assessment of Prediction Capabilities of COCOSYS and CFX Code for Simplified Containment
Published 2016-01-01“…The general trend of the temperature distribution along the vertical direction predicted by COCOSYS agrees with the CFX prediction except in dome, and this phenomenon is predicted well by CFX and failed to be reproduced by COCOSYS. …”
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RiNALMo: general-purpose RNA language models can generalize well on structure prediction tasks
Published 2025-07-01“…Notably, we show that its generalization capabilities overcome the inability of other deep learning methods for secondary structure prediction to generalize on unseen RNA families.…”
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Can a referral diagnosis code for duplex ultrasound "predict" carotid artery stenosis?
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Generalization of a fast, predictive model for tokamak scenario design in ASTRA and comparison to a RAPTOR model
Published 2025-01-01“…We now show that this approach can be generalized to other scenarios and even other devices. …”
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Bayesian compositional generalized linear mixed models for disease prediction using microbiome data
Published 2025-04-01“…However, in real-world data, both large and small effects frequently coexist, and acknowledging the contribution of smaller effects can significantly enhance predictive performance. To address this challenge, we developed Bayesian Compositional Generalized Linear Mixed Models for Analyzing Microbiome Data (BCGLMM). …”
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A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene prediction
Published 2025-04-01“…Conclusions This model demonstrated the superior predictive performance and strong generalization capabilities compared to other models. …”
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A method of vehicle networking environment information sharing based on distributed fountain code
Published 2024-01-01“…This paper presents a novel method of motion prediction compensation to solve this problem. Firstly, we propose a distributed fountain coding scheme to improve transmission efficiency and reduce vehicles’ delay in acquiring peripheral information. …”
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Role of genotyping in prediction of disseminated intravascular coagulation and multiple organ failure in children with generalized forms of meningococcal infection
Published 2019-12-01“…Aim: To investigate the features of allelic polymorphism, of several immune- and hemostasis-related genes in children with generalized, meningococcal infections and. to assess the usefulness of genotyping for prediction, of severe disseminated intravascular coagulation (DIC) and. multiple organ dysfunction, syndrome in these patients.Materials and methods: we studied. 20 children aged, from 8 months up to 17 years with generalized, meningococcal infections who developed DIC or/and multiple organ dysfunction syndrome. …”
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Autistic traits relate to reduced reward sensitivity in learning from point-light displays (PLDs)
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