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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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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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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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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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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An Integrated Image Encryption Scheme Based on Elliptic Curve by Ijaz Khalid, Tariq Shah, Sayed M. Eldin, Dawood Shah, Muhammad Asif, Imran Saddique

“…At the same time, the diffusion module is attained through highly nonlinear sequences, which are generated through the elliptic curve. …”
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A New Precursor Integral Method for Solving Space-Dependent Kinetic Equations in Neutronic and Thermal-Hydraulic Coupling System by Yingjie Wu, Baokun Liu, Han Zhang, Jiong Guo, Fu Li, Jinlin Niu, Yizhen Wang, Menglei Cui

“…The accurate prediction of the neutronic and thermal-hydraulic coupling system transient behavior is important in nuclear reactor safety analysis, where a large-scale nonlinear coupling system with strong stiffness should be solved efficiently. …”
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Complex spatio-temporal features in meg data by Francesca Sapuppo, Elena Umana, Mattia Frasca, Manuela La Rosa, David Shannahoff-Khalsa, Luigi Fortuna, Maide Bucolo

“…Magnetoencephalography (MEG) brain signals are studied usinga method for characterizing complex nonlinear dynamics. This approach usesthe value of $d_\infty$ (d-infinite) to characterize the system’s asymptotic chaoticbehavior. …”
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Straight-Line Trajectory Tracking Control of Unmanned Sailboat Based on NMPC Velocity and Heading Joint Control by Kai Liu, Jiancheng Yu, Wentao Zhao

“…This study proposes a trajectory tracking approach for unmanned sailboats that integrates velocity and heading control using nonlinear model predictive control (NMPC). Unlike conventional methods, which typically rely on separate control strategies for maximum velocity and heading, this study employs a joint control framework based on NMPC. …”
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Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network by Lei Wang, Shan Zuo, Y. D. Song, Zheng Zhou

“…Aiming at the external disturbances and nonlinear uncertain dynamic systems of OFWT because of the proximity to load centers and strong wave coupling, this paper proposes an advanced radial basis function (RBF) neural network approach for torque control of OFWT system at speeds lower than rated wind speed. …”
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Local Stress Field Correction Method Based on a Genetic Algorithm and a BP Neural Network for In Situ Stress Field Inversion by Tianzhi Yao, Zuguo Mo, Li Qian, Jianhua He, Jianhai Zhang

“…For the problem of a relatively discrete and nonlinear relationship of measured stress in the Yebatan Hydropower Station area, a new in situ stress inversion method called the local stress field correction (LSFC) method combining a genetic algorithm (GA), backpropagation (BP) neural network, and submodel method is proposed. …”
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Biophysical Insights into Cancer Transformation and Treatment by Jiří Pokorný, Alberto Foletti, Jitka Kobilková, Anna Jandová, Jan Vrba, Jan Vrba, Martina Nedbalová, Aleš Čoček, Andrea Danani, Jack A. Tuszyński

“…Biological systems are hierarchically self-organized complex structures characterized by nonlinear interactions. Biochemical energy is transformed into work of physical forces required for various biological functions. …”
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Similarity Measure Learning in Closed-Form Solution for Image Classification by Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Zhaowei Shang, Yuewei Lin

“…Based on this similarity measure, we present a specific algorithm under the SML framework, called correlation similarity measure learning (CSML), to learn a parameterized similarity measure over input space. A nonlinear extension version of CSML, kernel CSML, is also proposed. …”
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Emissions of Airport Monitoring with Solar Occultation Flux-Fourier Transform Infrared Spectrometer by Xin Han, Xiangxian Li, Minguang Gao, Jingjing Tong, Xiuli Wei, Sheng Li, Shubin Ye, Yan Li

“…CO, CO2, C2H4, and CH2O are selected as the target gases and are quantitatively analyzed with the nonlinear least squares method to get the column concentration. …”
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