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221
Multi-View Prototypical Transport for Unsupervised Domain Adaptation
Published 2025-01-01Subjects: “…unsupervised domain adaptation…”
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222
The Possibility of Fidelity in Adaptations: The Case of Director Michael Haneke
Published 2023-06-01Subjects: Get full text
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223
Adaptive double auction mechanism for cloud resource allocation
Published 2012-09-01Subjects: Get full text
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224
Samuel Beckett's Breath on Screen: Damien Hirst’s Adaptation
Published 2021-04-01Subjects: Get full text
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225
Fast contrast enhancement by adaptive pixel value stretching
Published 2018-08-01“…Adaptive gamma correction is also novelly used to recover the normal luminance in enhancing dimmed images. …”
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226
Sledgehamr: Simulating Scalar Fields with Adaptive Mesh Refinement
Published 2025-01-01“…A common solution is adaptive mesh refinement, which, however, greatly increases a simulation's complexity. …”
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227
Adaptation of the Beck Anxiety Inventory in population of Buenos Aires
Published 2020-09-01“…The objective of this study was to adapt the BAI to the adult population of Buenos Aires. …”
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228
Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model
Published 2015-01-01“…A parameter estimation scheme for updating the parameters of the T-S fuzzy models is designed and analyzed based on the Lyapunov theory. A new adaptive law can be selected to be the former adaptive law plus a nonnegative in variable to guarantee that the derivative of the Lyapunov function is smaller than zero. …”
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229
Fault Feature Extraction of Gearbox based on Adaptive VMD
Published 2019-04-01“…The number of layers needs to be determined adaptively, a multi-point kurtosis -VMD (Variational Mode Decomposition) composite fault feature extraction method is proposed. …”
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230
A New Multiphase Soft Segmentation with Adaptive Variants
Published 2013-01-01Get full text
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231
Error-Mask-Adaptive Dynamic Filtering for Image Inpainting
Published 2025-01-01Subjects: Get full text
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232
Adaptive routing and wavelength assignment method based on SDN
Published 2019-09-01“…Routing and wavelength assignment is an important resource allocation method of all-optical network.Aiming at the problem of traditional method combined with the new architecture,an adaptive multi-objective routing and wavelength assignment method based on SDN was proposed,which could realize the allocation of link resources of all-optical network through self-regulation.Based on the SDN service function chain model,service scheduling time and link service quality were taken as the scheduling objective,routing and wavelength assignment problem was constructed as the 0-1 integer programming problem,meanwhile,binary hybrid topology particle swarm optimization algorithm was used to optimize the network resources for optimal scheduling.The simulation results show that the proposed method is superior to the traditional classical algorithms in the test of recovery time,blocking rate and resource utilization.…”
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233
Design Patterns for Self-Adaptive RTE Systems Specification
Published 2014-01-01“…Combined together, the patterns form the design of an adaptation loop composed of five adaptation modules. …”
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234
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235
Application of additive manufacturing for the adaptive design of ultrasound phantoms
Published 2025-01-01“…Phantom materials used were based on agar and polyvinyl alcohol. To adapt the speed of sound glycerol was added to the mixtures. …”
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236
Adaptive Prediction of Channels with Sparse Features in OFDM Systems
Published 2013-01-01Get full text
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237
Adaptive-AR Model with Drivers’ Prediction for Traffic Simulation
Published 2013-01-01“…We present a novel model called A2R—“Adaptive-AR”—based on a well-known continuum-based model called AR Aw and Rascle (2000) for the simulation of vehicle traffic flows. …”
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238
Adapting a Dental Anxiety Measure to Encourage Empathy
Published 2023-01-01“…This study was a descriptive cross-sectional study adapting the MDAS into the I-MDAS by adding the International scale. …”
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239
Smartphone adapters for flexible Nasolaryngoscopy: a systematic review
Published 2018-05-01Subjects: “…Smartphone endoscope adapters…”
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240
Adaptive clustering federated learning via similarity acceleration
Published 2024-03-01“…In order to solve the problem of model performance degradation caused by data heterogeneity in the federated learning process, it is necessary to consider personalizing in the federated model.A new adaptively clustering federated learning (ACFL) algorithm via similarity acceleration was proposed, achieving adaptive acceleration clustering based on geometric properties of local updates and the positive feedback mechanism during clients federated training.By dividing clients into different task clusters, clients with similar data distribution in the same cluster was cooperated to improve the performance of federated model.It did not need to determine the number of clusters in advance and iteratively divide the clients, so as to avoid the problems of high computational cost and slow convergence speed in the existing clustering federation methods while ensuring the performance of models.The effectiveness of ACFL was verified by using deep convolutional neural networks on commonly used datasets.The results show that the performance of ACFL is comparable to the clustered federated learning (CFL) algorithm, it is better than the traditional iterative federated cluster algorithm (IFCA), and has faster convergence speed.…”
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Article