Agricultural intensification and the increasing use of fertilizers and irrigation have significantly improved crop productivity but have also led to growing concerns over groundwater contamination and inefficient water usage. When solutes like nitrates and pesticides seep past the root zone, they not only deplete soil fertility but also endanger the ...
Wubale Demis Alamirew, Ephrem Yetbarek
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Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition. [PDF]
Zhang Y, Zhao H.
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Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan +3 more
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Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks. [PDF]
Liu Z +5 more
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The von Neumann Stability Analysis of the Fixed‐Stress Schemes in Poroelastodynamics
ABSTRACT We investigate splitting schemes based on the fixed‐stress sequential approach for poroelastodynamic problems. To assess numerical stability, we perform the von Neumann stability analysis on several fixed‐stress schemes for poroelastodynamics, including staggered, stabilized, and iterative methods. Our analysis reveals that while the staggered
Jihoon Kim +2 more
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Deep VMD-attention network for arrhythmia signal classification based on Hodgkin-Huxley model and multi-objective crayfish optimization algorithm. [PDF]
Zhao H, Yin X.
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Physics‐Based Machine Learning for Modeling Cyclic Damage Evolution
ABSTRACT Accurate modeling of cyclic damage evolution is essential for predicting the long‐term performance and durability of engineering materials and structures. Traditional simulation‐based approaches, while physically rigorous, are computationally expensive, especially under complex loading histories.
Elsayed S. Elsayed +2 more
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Generative diffusion model surrogates for mechanistic agent-based biological models. [PDF]
Comlekoglu T +5 more
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The purpose of this paper is to establish a heat transfer simulation method for magnetic hyperthermia that incorporates the heat generation characteristics of low curie point thermo‐sensitive magnetic particles and their relative position to a Drive coil that applies the magnetic field.
Kazuna Sato, Kazutaka Mitobe
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Gauss Newton Method for Solving Variational Problems of PDEs with Neural Network Discretizaitons. [PDF]
Hao W, Hong Q, Jin X.
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