Machine learning and partial differential equations: benchmark, simplify, and discover by Petros Koumoutsakos

“…Many of these simulations are based on models expressed as Partial Differential Equations (PDEs). PDEs are invaluable inductive inference engines, as their solutions generalize beyond the particular problems they describe. …”
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The Effect of Extended Smartphone Screen Time on Continuous Partial Attention by M. Fırat

“…Students with the highest total weekly screen time on short video platform had higher continuous partial attention scores. Students attributed this finding to hypnotic algorithms, distracting redundancy, marketing and advertising, passive receiver mode, short video flow, and surprising content. …”
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Practical Quantum Advantage on Partially Fault-Tolerant Quantum Computer by Riki Toshio, Yutaro Akahoshi, Jun Fujisaki, Hirotaka Oshima, Shintaro Sato, Keisuke Fujii

“…Our framework is based on partially fault-tolerant logical operations to minimize spatial overhead and avoids the costly distillation techniques typically required for executing non-Clifford gates. …”
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Exploratory Study of a Green Function Based Solver for Nonlinear Partial Differential Equations by Pablo Solano-López, Jorge Saavedra, Raúl Molina

“…This work explores the numerical translation of the weak or integral solution of nonlinear partial differential equations into a numerically efficient, time-evolving scheme. …”
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Demand Prediction of Emergency Supplies under Fuzzy and Missing Partial Data by Ming Zhang, Hanlin Wu, Zhifeng Qiu, Yifan Zhang, Boquan Li

“…This study aims at improving supplies demand prediction accuracy under partial data fuzziness and missing. The main contributions of this study are summarized as follows. (1) In view that it is difficult for the turning point of the whitenization weight function to determine fuzzy data, two computational formulas solving “core” of fuzzy interval grey numbers were proposed, and the obtained “core” replaced primary fuzzy information so as to reach the goal of transforming uncertain information into certain information. (2) For partial data missing, the improved grey k-nearest neighbor (GKNN) algorithm was put forward based on grey relation degree and K-nearest neighbor (KNN) algorithm. …”
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Partial discharge pattern recognition based on EEMD singular value entropy by Luo Riping, Luo Yingting, Lai Shiyu, Zhao Xianyang, Wang Liqi

“…Secondly, the singular value decomposition is performed on the reconstructed signal, and the singular value entropy is calculated in combination with the information entropy algorithm. Finally, according to the singular value entropy, the type of GIS partial discharge is distinguished. …”
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Bayesian Adaptive Lasso for the Partial Functional Linear Spatial Autoregressive Model by Dengke Xu, Ruiqin Tian, Ying Lu

“…This study introduces a partial functional linear spatial autoregressive model which can explore the relationship between a scalar spatially dependent response variable and predictive variables containing both multiple scalar covariates and a functional covariate. …”
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Equilibrium Strategies for Overtaking-Free Queueing Networks under Partial Information by David Barbato, Alberto Cesaro, Bernardo D’Auria

“…We investigate the equilibrium strategies for customers arriving at overtaking-free queueing networks and receiving partial information about the system’s state. In an overtaking-free network, customers cannot be overtaken by others arriving after them. …”
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GIS partial discharge fault diagnosis method based on SGMD-LSTM by Zhang Yun, Zhang Chao, Zhang Shiyong, Ma Pengchi, Yang Guang, Ding Hao

“…To accurately diagnose partial discharge faults in Gas Insulated Switchgear (GIS), a fault diagnosis method based on Symplectic Geometric Mode Decomposition (SGMD) and improved Long Short Term Memory (LSTM) is proposed. …”
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On the Partial Offloading to Multiple Helpers-Based Task Offloading for IoT Networks by Usman Mahmood Malik, Muhammad Awais Javed, Abdulaziz AlMohimeed, Mohammed Alkhathami, Abeer Almujalli

“…We propose a modified many-to-many matching-based task offloading algorithm to reduce the task latency in a POMH scenario. …”
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Using UMAP for Partially Synthetic Healthcare Tabular Data Generation and Validation by Carla Lázaro, Cecilio Angulo

“…In addition, the common case of lack of information due to technical issues, transcript errors, or differences between descriptors considered in different health centers leads to the need for data imputation and partial data generation techniques. This study introduces a novel methodology for partially synthetic tabular data generation, designed to reduce the reliance on sensor measurements and ensure secure data exchange. …”
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MHD Free Convection in an Enclosure Loaded with Nanofluid and Partially Cross-heated by A. Marfouk, A. Mansour, A. Hasnaoui, A. Amahmid, M. Hasnaoui

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Research on Model Reconstruction Methods for Partial Point Cloud Information Loss by Zhengping CHANG, Guoshuai YUAN, Jiuhua LI, Yang ZHAO, Zhongqi WANG

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Filter Learning-Based Partial Least Squares Regression and Its Application in Infrared Spectral Analysis by Yi Mou, Long Zhou, Weizhen Chen, Jianguo Liu, Teng Li

“…Partial Least Squares (PLS) regression has been widely used to model the relationship between predictors and responses. …”
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New Approach for Solving Three Dimensional Space Partial Differential Equation by Enadi et al.

“…This paper presents a new transform method to solve partial differential equations, for finding suitable accurate solutions in a wider domain. …”
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An experimental comparison of two preconditioned iterative methods to solve the elliptic partial differential equations by Seyyed Ahmad Edalatpanah

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Discovery of a novel binding pocket in PPARγ for partial agonists: structure-based virtual screening identifies ginsenoside Rg5 as a partial agonist promoting beige adipogenesis by Zhen Wang, Kexin Shui, Zehui Zhang, Yihan Chen, Nanfei Yang, Shiliang Ji, Pingping Shen, Qiang Tian, Qiang Tian

“…Selective PPARγ modulators (SPPARγMs) that target alternative binding pockets offer the potential for safer partial agonists. Here, we employed six computational algorithms (Fpocket, DeepSite, CavityPlus, DoGSiteScorer, CASTpFold, POCASA) to identify a novel allosteric pocket (pocket 6–5) in the PPARγ ligand-binding domain (LBD), localized at the helix 3 (H3), helix 2 (H2), helix 2'(H2′), and β-sheet interface. …”
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Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information by Peng Gong, Kai Ren, Duk Kyung Kim

“…In order to reduce the feedback overhead, another power allocation algorithm is devised based only on the partial CSI, that is, the CSI of BS-PU and the CSI of BS-CUs. …”
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Distributed semi-supervised partial multi-dimensional learning via subspace learning by Zhen Xu, Weibin Chen

“…The convergence performance and communication complexity of the dS $$^2$$ 2 PMDL algorithm are analyzed. Furthermore, experiments on multiple datasets are performed to validate the effectiveness of the proposed algorithm in semi-supervised partial multi-dimensional classification.…”
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Multifeatured Image Retrieval Techniques Based on Partial Differential Equations for Online Shopping by Jiaohui Yu

“…To improve the search speed of the data-dependent locally sensitive hashing algorithm, we propose a query pruning algorithm compatible with the proposed partial differential equation-based multifeature image retrieval technology method, which greatly improves the retrieval speed while ensuring the retrieval accuracy; to implement the data-dependent partial differential equation algorithm, we need to distribute the data set among different operation nodes, and to better achieve better parallelization of operations, we need to measure the similarity between categories, and we achieve the problem of distributing data among various categories in each operation node by introducing a clustering method with constraints. …”
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