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  1. 181

    Molecular Retrosynthesis Top‐K Prediction Based on the Latent Generation Process by Yupeng Liu, Han Zhang, Rui Hu

    Published 2025-06-01
    “…To address these limitations, this paper proposes a Molecular Retrosynthesis Top‐k Prediction based on the Latent Generation Process (MRLGP) that uses latent variables from graph neural networks to model the generation process and produce diverse set of reactants. …”
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    Article
  2. 182

    Lightweighting the prediction process of urban states with parameter sharing and dilated operations by Peixiao Wang, Haolong Yang, Hengcai Zhang, Shifen Cheng, Feng Lu, Zeqiang Chen

    Published 2025-08-01
    “…Lightweight and high-precision prediction models for urban states are anticipated to run efficiently on resource-limited devices, serving as key technologies for realizing smart city management. …”
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    Article
  3. 183

    Urinary metabolite model to predict the dying process in lung cancer patients by Séamus Coyle, Elinor Chapman, David M. Hughes, James Baker, Rachael Slater, Andrew S. Davison, Brendan P. Norman, Ivayla Roberts, Amara C. Nwosu, James A. Gallagher, Lakshminarayan R. Ranganath, Mark T. Boyd, Catriona R. Mayland, Douglas B. Kell, Stephen Mason, John Ellershaw, Chris Probert

    Published 2025-02-01
    “…Conclusions These metabolites identified offer insights into previously undocumented pathways involved in or affected by the dying process. They not only imply cancer’s influence on the body but also illustrate the dying process. …”
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    Article
  4. 184
  5. 185

    Prediction of parison formation using process data in extrusion blow molding by Tokunaga Tomohiro, Kajiwara Toshihisa, Nakayama Yasuya

    Published 2025-01-01
    “…In this study, a numerical simulation based on process data is developed that is capable of predicting the parison shape during production. …”
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    Article
  6. 186

    MicroForest: Lightweight Bottleneck Prediction for Manufacturing Processes on Edge Devices by Seungmin Yoo, Chanyoung Oh

    Published 2025-07-01
    “…As digital transformation in manufacturing accelerates, process bottleneck prediction has emerged as a central task in industrial automation. …”
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    Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

    Published 2025-04-01
    “…The optimal process parameter combination for material removal rate in stone processing is determined through BP neural network and genetic algorithm, and the relative error between the predicted value and the experimental value is relatively small.…”
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    Article
  12. 192

    Integration of RSM and Machine Learning for Accurate Prediction of Surface Roughness in Laser Processing by Dragan Rodić, Milenko Sekulić, Borislav Savković, Miloš Madić, Milan Trifunović

    Published 2025-06-01
    “…These findings confirm the effectiveness of the hybrid approach in capturing complex dependencies and improving prediction accuracy, highlighting its potential for advanced process modeling in laser machining.…”
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  15. 195

    The multifaceted role of the inferior colliculus in sensory prediction, reward processing, and decision-making by Xinyu Du, Haoxuan Xu, Peirun Song, Yuying Zhai, Hangting Ye, Xuehui Bao, Qianyue Huang, Hisashi Tanigawa, Zhiyi Tu, Pei Chen, Xuan Zhao, Josef P Rauschecker, Xiongjie Yu

    Published 2025-01-01
    “…However, this study uncovers the multifaceted role of the IC in bridging auditory processing, sensory prediction, and reward prediction. …”
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    Article
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    Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor by Ananias Pereira Neto, Ananias Pereira Neto, Fabrício J. B. Barros

    Published 2025-01-01
    “…IntroductionWavelet thresholding techniques are crucial in mitigating noise in data communication and storage systems. In image processing, particularly in medical imaging like MRI, noise reduction is vital for improving visual quality and accurate analysis. …”
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    Article
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