Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application by Zaher Mundher Yaseen, Hossam Faris, Nadhir Al-Ansari

“…The capability of the extreme learning machine (ELM) model in modeling stochastic, nonlinear, and complex hydrological engineering problems has been proven remarkably. …”
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On geometry of fixed figures via φ−interpolative contractions and application of activation functions in neural networks and machine learning models by Khairul Habib Alam, Yumnam Rohen, Anita Tomar, Mohammad Sajid

“…Our exploration of fixed figures in the context of Rectified Linear Units (ReLU) further deepens our understanding of nonlinear systems and their relationship to neural network behavior.…”
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Blind Source Parameters for Performance Evaluation of Despeckling Filters by Nagashettappa Biradar, M. L. Dewal, ManojKumar Rohit, Sanjaykumar Gowre, Yogesh Gundge

“…The quantitative evaluation and clinical validation reveal that the filters such as the nonlocal mean, posterior sampling based Bayesian estimation, hybrid median, and probabilistic patch based filters are acceptable whereas median, anisotropic diffusion, fuzzy, and Ripplet nonlinear approximation filters have limited applications for echocardiographic images.…”
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A new optimal control approach to uncertain Euler-Lagrange equations: $ H_\infty $ disturbance estimator and generalized $ H_2 $ tracking controller by Taewan Kim, Jung Hoon Kim

“…More precisely, a linearization of the nonlinear equation was achieved through the inverse dynamic control (IDC) and an $ H_\infty $ optimal estimator was designed to address model uncertainties arising in this process. …”
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Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models by Guojiang Xiong, Jing Zhang, Dongyuan Shi, Xufeng Yuan

“…In recent years, the use of metaheuristics for parameter extraction of PV models gains more and more attentions thanks to their efficacy in solving highly nonlinear multimodal optimization problems. This work addresses a novel application of supply-demand-based optimization (SDO) to extract accurate and reliable parameters for PV models. …”
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Reconstruction and Prediction of Chaotic Time Series with Missing Data: Leveraging Dynamical Correlations Between Variables by Jingchan Lv, Hongcun Mao, Yu Wang, Zhihai Yao

“…Although data-driven machine learning methods have been successfully applied to predict complex nonlinear dynamics, forecasting future evolution based on incomplete past information remains a significant challenge. …”
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Entropy optimized nanomaterial flow with Soret and Dufour impacts by Tasawar Hayat, Aimen Tahir, Aneeta Razaq, Sohail A. Khan

“…Entropy production for chemically reactive flow with Darcy-Forchheimer relation is studied. Nonlinear ordinary equations are obtained by employing adequate transformations. …”
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A State Estimation of Dynamic Parameters of Electric Drive Articulated Vehicles Based on the Forgetting Factor of Unscented Kalman Filter with Singular Value Decomposition by Tianlong Lei, Mingming Hou, Liaoyuan Li, Haohua Cao

“…In this paper, a state estimation method of distributed electric drive articulated vehicle dynamics parameters based on the forgetting factor unscented Kalman filter with singular value decomposition (SVD-UKF) is proposed. The 7DOF nonlinear dynamics model of a distributed electric drive articulated vehicle is established. …”
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Theoretical Calculations and Molecular Docking Analysis of 4-(2-(4-Bromophenyl)Hydrazineylidene)-3,5-Diphenyl-4H-Pyrazole Molecule by Ümit Yıldıko, Veysel Tahiroğlu, Mehmet Bağlan, Kenan Gören

“…By taking geometric structures, Highest-Energy Molecular Orbital (HOMO) and Lowest-Energy Molecular Orbital (LUMO) analysis, Mulliken Atomic Charges, Molecular Electrostatic Potential (MEPS), Nonlinear Optical (NLO) features, and Natural Bond Orbital (NBO) images of the molecule from this optimized structure were analyzed. …”
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Interactional Effect of the Influential Parameters on Seismic Behaviour of the Concrete Surface Tanks by Alirezar Hassanpour Yasaghi, Mazhar Fatahi, Seyed Mehdi Seyed Alizadeh

“…In this study, seismic behaviour studying has been taken into account and in addition to considering three-dimensional model of finite element model of a surface rectangular tank and its beneath soil given to SSI and FSI effect, we have done required analysis and Drucker–Prager nonlinear model has been used to investigating more exactly to describe soil behaviour. …”
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Deflection Calculation Based on SDOF Method for Axially Loaded Concrete-Filled Steel Tubular Members Subjected to Lateral Impact by Luming Wang, Yanhui Liu, Jiahuan Song, Shichun Zhao, Zhe Wang, Yue Zeng, Xingyu Feng

“…Based on numerical simulation and theoretical analysis, the impact response and deflection calculation method for axially loaded CFST members subjected to lateral impact are investigated in this paper. The nonlinear numerical model of an axially loaded CFST member considering the strain rate effects has been established, and the simulation accuracy has been validated by comparing with existing test results. …”
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The impact of preschool children’s physical fitness evaluation under self organizing maps neural network by Lili Wang, Wenjun Zou, Yuxuan Wang, Denise Koh, Wan Ahmad Munsif Bin Wan Pa, Rujiu Gao

“…Existing evaluation methods often rely on traditional, single statistical analyses, which struggle to handle the complexity of high-dimensional, nonlinear data, resulting in a lack of precision and personalization. …”
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Thermophysical analysis of time-dependent magnetized Casson hybrid nanofluid flow (Cu + GO/Kerosene Oil) using Darcy-Forchheimer and thermal radiative models for industrial cooling... by Amal F. Alharbi, Fida Mohammad, Muhammad Usman, Naseem Khan, Walid Abushiba

“…The theory of Darcy-Forchheimer, along with the suction and injection effect, is applied to refine the flow behaviour and enhance heat transfer efficiency. The governing nonlinear equations are solved using the Homotopy Analysis Method to provide a robust framework for solution accuracy. …”
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A Review of Numerical Techniques for Frictional Contact Analysis by Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, Ghanshyam G. Tejani

“…This review analyzes numerical techniques for frictional contact problems, highlighting their strengths and limitations in addressing inherent nonlinearities and computational demands. Finite element methods (FEM), while dominant due to versatility, often require computationally expensive iterative solutions. …”
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Applying Hybrid PSO to Optimize Directional Overcurrent Relay Coordination in Variable Network Topologies by Ming-Ta Yang, An Liu

“…In power systems, determining the values of time dial setting (TDS) and the plug setting (PS) for directional overcurrent relays (DOCRs) is an extremely constrained optimization problem that has been previously described and solved as a nonlinear programming problem. Optimization coordination problems of near-end faults and far-end faults occurring simultaneously in circuits with various topologies, including fixed and variable network topologies, are considered in this study. …”
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Vertical Shear Instability in Thermally Stratified Protoplanetary Disks. II. Hydrodynamic Simulations and Observability by Han-Gyeol Yun, Woong-Tae Kim, Jaehan Bae, Cheongho Han

“…We conduct 3D hydrodynamic simulations to investigate the nonlinear outcomes and observability of vertical shear instability (VSI) in protoplanetary disks. …”
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Distribution Law of In Situ Stress and Its Engineering Application in Gateroad Maintenance: A Case Study by Guangchao Zhang, You Li, Guangzhe Tao, Miao Chen, Ruihua Xu, Hanqing Guo, Devkota Bidit, Guanglei Zhou, Zhi Qu, Hao Zuo

“…The arc structure within the mine is the main reason for the deflection of the stress direction. (3) The lateral pressure coefficients KH, Kh, and Kav show a nonlinear distribution with increased depth, and the three coefficients have a decreasing trend. …”
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Predictive Modeling of Total Real and Reactive Power Losses in Contingency Systems Using Function-Fitting Neural Networks with Graphical User Interface by Alfredo Bonini Neto, Alexandre de Queiroz, Giovana Gonçalves da Silva, André Gifalli, André Nunes de Souza, Enio Garbelini

“…ANN models excel at capturing the nonlinear behavior of power systems, eliminating the need for iterative methods commonly used in traditional approaches. …”
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Valorization of Biomass Through Anaerobic Digestion and Hydrothermal Carbonization: Integrated Process Flowsheet and Supply Chain Network Optimization by Sanja Potrč, Aleksandra Petrovič, Jafaru M. Egieya, Lidija Čuček

“…A three-layer supply chain network superstructure was hence developed to integrate the optimization of process variables with supply chain features such as transportation modes, feedstock supply, plant location, and demand location. A mixed-integer nonlinear programming model aimed at maximizing the economic performance of the system was formulated and applied to a case study of selected regions in Slovenia. …”
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Physics-Based and Data-Driven Modeling of Degradation Mechanisms for Lithium-Ion Batteries—A Review by Pedro Lozano Ruiz, Nikolaos Damianakis, Gautham Ram Chandra Mouli

“…Linear degradation models can be inaccurate in capturing the highly nonlinear behavior of LIB degradation caused by multiple simultaneous degradation mechanisms. …”
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