Contaminant Transport Modeling and Source Attribution With Attention‐Based Graph Neural Network by Min Pang, Erhu Du, Chunmiao Zheng

“…The major advantage of aGNN is that it not only has a high level of predictive power in multiple scenario evaluations but also substantially reduces computational cost. …”
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Investigation of the dielectric characteristics of materials manufactured using additive technologies by S. V. Kharalgin, M. I. Voytovich

“…Based on the existing methods of measuring the dielectric characteristics of materials, the most optimal method for performing calculations in the electrodynamic computer-aided design system is selected by the finite integration method. …”
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UAP: A System Authentication Protocol for UAV Relay Communication by UAV-Assisted by Chunpeng Liu, Tao Huang, Maode Ma

“…The experiments show that UAP has a computational overhead of 0.0826 ms and a communication overhead of 0.0408 ms. …”
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Separation of benzene from cyclohexane by liquid-liquid extraction for a pseudo-ternary system with (sulfolane + 2-propanol) solvent: An experimental and modeling study by Seyed Mohammad Reza Seyedein Ghannad, Mohammad Reza Gharib, Ali Heydari

“…RMSDs achieved measuring computed and experimental two-phase compositions are 0.0481 for the UNIQUAC and 0.0512 for the NRTL models.…”
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QSPR analysis of physico-chemical and pharmacological properties of medications for Parkinson’s treatment utilizing neighborhood degree-based topological descriptors by Vignesh Ravi, Natarajan Chidambaram

“…Various methods evaluate therapeutic efficacy and adverse effects utilizing machine learning techniques. …”
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Glycaemic variability in diabetes: a tool for assessing the quality of glycaemic control and the risk of complications by Vadim Valer'evich Klimontov, Natalya Evgen'evna Myakina

“…The development of computational methods to analyse glycaemic oscillations has made it possible to propose the concept of glycaemic variability (GV). …”
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Learning adversarial policy in multiple scenes environment via multi-agent reinforcement learning by Yang Li, Xinzhi Wang, Wei Wang, Zhenyu Zhang, Jianshu Wang, Xiangfeng Luo, Shaorong Xie

“…Finally, effective training trajectories are computed with two criteria from multiple parallel scenes rather than single to accelerate the learning process. …”
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Ring Beam Modulation-Assisted Laser Welding on Dissimilar Materials for Automotive Battery by Se-Hoon Choi, Jong-Hyun Kim, Hae-Woon Choi

“…The research combines experimental and computational analyses to evaluate the impact of heat input distributions and laser modulation parameters on weld quality and strength. …”
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Using Large Language Models for the Interpretation of Building Regulations by Stefan Fuchs, Michael Witbrock, Johannes Dimyadi, Robert Amor

“…This capability could be used to automate the conversion of building regulations into a semantic and computable representation. This paper evaluates the performance of LLMs in translating building regulations into LegalRuleML in a few-shot learning setup. …”
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Hull form optimization of fully parameterized small ships using characteristic curves and deep neural networks by Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo

“…Numerical analyses using Computational Fluid Dynamics (CFD) were employed to assess the performance of the hull form. …”
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A Probabilistic Approach to Surrogate‐Assisted Multi‐Objective Optimization of Complex Groundwater Problems by Reygie Q. Macasieb, Jeremy T. White, Damiano Pasetto, Adam J. Siade

“…Surrogate modeling, through techniques such as Gaussian Process Regression (GPR), is an emerging approach to significantly reduce the number of these model evaluations thereby speeding up the optimization process. …”
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Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs by Cezary Kownacki, Slawomir Romaniuk, Marcin Derlatka

“…The most popular neural network architectures were evaluated on the basis of their trajectory tracking accuracy and computational performance, i.e. single-layer regression networks and double-layer perceptron regression networks, deep neural networks, and residual networks. …”
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Endodontic approach in tooth with internal root resorption: case report by Diogo Danilo da Silva Mascena, Lucas Linhares Gomes, Tássia Cristina de Almeida Pinto Sarmento, Rosana Araújo Rosendo

“…Repair of internal resorption was confirmed by periapical radiographs and computed tomography, requiring follow-up for a longer period. …”
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Proposition of New Metaphor-Less Algorithms for Reservoir Operation by Vartika Paliwal, Aniruddha D. Ghare, Ashwini B. Mirajkar, Neeraj Dhanraj Bokde, Zaher Mundher Yaseen

“…The results showed that the Rao-1 algorithm provided the optimal solution with the least function evaluations when compared to Rao-2, Rao-3, and other algorithms applied in the past to the same benchmark problem. …”
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Optimal ACL Policy Placement in Hybrid SDN Networks: A Reinforcement Learning Approach by Wajid Ullah Khan, Nadir Shah, Gabriel-Miro Muntean, Haleem Farman, Moustafa M. Nasralla, Shan Ullah, Muhammad Shabir

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An Augmented Reality-Based Pre-Surgical Navigation System for Ventriculoperitoneal Shunt Placement: Development and Phantom Skull Assessment With Unity-Vuforia by Tandin Dorji, Vich Yindeedej, Pakinee Aimmanee

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Bayesian Inference for Zero-Modified Power Series Regression Models by Katiane S. Conceição, Marinho G. Andrade, Victor Hugo Lachos, Nalini Ravishanker

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Novel Continuous-Time Markov Chain-Based Model for Performance Analysis of Hybrid Free Space Optics and Radio Frequency Communications by Vladimir Shakhov, Nikolai Shakhov, Insoo Koo

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Detecting Botrytis Cinerea Control Efficacy via Deep Learning by Wenlong Yi, Xunsheng Zhang, Shiming Dai, Sergey Kuzmin, Igor Gerasimov, Xiangping Cheng

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Levenberg–Marquardt Backpropagation for Numerical Treatment of Micropolar Flow in a Porous Channel with Mass Injection by Hakeem Ullah, Imran Khan, Hussain AlSalman, Saeed Islam, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Abdu Gumaei, Mehreen Fiza, Kashif Ullah, Sk. Md. Mizanur Rahman, Muhammad Ayaz

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