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LatentPINNs: Generative physics-informed neural networks via a latent representation learning
Published 2025-06-01“…Motivated by the recent progress on generative models, we promote using latent diffusion models to learn compressed latent representations of the distribution of PDE parameters as they act as input parameters for NN functional solutions. …”
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183
An Adaptive 24 GHz PSO-Based Optimized VCO in Next-Generation Wireless Sensor Networks
Published 2025-03-01Get full text
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184
Photovoltaic Power Generation Forecasting Based on Secondary Data Decomposition and Hybrid Deep Learning Model
Published 2025-06-01“…Accurate forecasting of photovoltaic (PV) power generation is crucial for optimizing grid operation and ensuring a reliable power supply. …”
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185
Highly selective generation of singlet oxygen via peroxymonosulfate activation by Mn–N supported biochar
Published 2025-01-01Get full text
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186
Generatively optimised compact 3-DoF spherical parallel manipulator with tightly integrated actuators
Published 2025-07-01“…Future work will extend this design to higher payload systems using metal components, enhancing durability and functionality for industrial applications.…”
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187
RSGPT: a generative transformer model for retrosynthesis planning pre-trained on ten billion datapoints
Published 2025-07-01Get full text
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188
High‐Performance MXene Hydrogel for Self‐Propelled Marangoni Swimmers and Water‐Enabled Electricity Generator
Published 2025-01-01“…Abstract Developing multifunctional materials that integrate self‐propulsion and self‐power generation is a significant challenge. This study introduces a high‐performance MXene‐chitosan composite hydrogel (CM) that successfully combines these functionalities. …”
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Force Generation and Muscle Activation: A Literature Review of Lower Limb Mechanics in Softball Batting
Published 2025-05-01Get full text
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191
Comprehensive Style Transfer for Facial Images Using Enhanced Feature Attribution in Generative Adversarial Nets
Published 2025-01-01“…Our method introduces two key innovations for enhanced feature attribution: 1) dual Gram matrix-based loss functions (G1 and G2), which operate at different stages of the generation process to capture richer style information by establishing deeper correlations between feature maps, and 2) a balanced training objective that integrates perceptual loss with cycle-consistency loss to maintain content fidelity during style transfer. …”
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192
Effect of Lower-Level Relaxation on the Pulse Generation Performance of Q-Switched Nd:YAG Laser
Published 2025-04-01Get full text
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193
Crystal Composition Transformer: Self‐Learning Neural Language Model for Generative and Tinkering Design of Materials
Published 2024-09-01“…These models have demonstrated superior performance in the generation, structure classification, and functional predictions for proteins and molecules with learned representations. …”
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194
Energy spectra of odd nuclei in the generalized model
Published 2015-04-01“…Based on the generalized nuclear model, energy spectra of the odd nuclei of such elements as 25Mg, 41K, and 65Cu are determined, and the structure of wave functions of these nuclei in the excited and normal states is studied. …”
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195
Bayesian generalized dissimilarity model for marine biodiversity analysis
Published 2025-12-01Get full text
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SER analysis of cooperative M2M communications assisted by multiple AF relays
Published 2012-05-01Get full text
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SER analysis of cooperative M2M communications assisted by multiple AF relays
Published 2012-05-01Get full text
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From Model to Bedside: What Kind of OSA Risk Prediction Tools Do We Need More Of? [Response to Letter]
Published 2025-08-01Get full text
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