Application of dynamic systems modeling approach to rank optimal urban waste management strategies using SWOT method by Hamid Shahbandarzadeh, Mohammad Hossein Kabgani

“…In the next step, Mikhailov's nonlinear method was used to rank the four strategies. …”
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Developing a dynamic combined power quality index for assessing the performance of a nuclear facility by Asmaa M. Elsotohy, Mohammed Hamouda Ali, Ahmed S. Adail, Ayman A. Eisa, El-said A Othman

“…In this study, different abnormal conditions are simulated in the NRR network to generate power quality disturbances, including a three-phase nonlinear load to simulate harmonics, an unbalanced load to simulate unbalance, and an inductive load to simulate the change in the power factor. …”
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Electrical Equivalent Circuit Parameter Estimation of Commercial Induction Machines Using an Enhanced Grey Wolf Optimization Algorithm by Premkumar Manoharan, Sowmya Ravichandran, Jagarapu S. V. Siva Kumar, Mustafa Abdullah, Tan Ching Sin, Tengku Juhana Tengku Hashim

“…The AWGWO incorporates an adaptive weight mechanism that dynamically adjusts the exploration and exploitation balance, effectively mitigating issues such as premature convergence to local optima. …”
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A Q-Learning Crested Porcupine Optimizer for Adaptive UAV Path Planning by Jiandong Liu, Yuejun He, Bing Shen, Jing Wang, Penggang Wang, Guoqing Zhang, Xiang Zhuang, Ran Chen, Wei Luo

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Structural Performance of Reinforced Concrete Beams with Steel Fibres as Secondary Reinforcement: Experimental and Pre-peak Numerical Modelling by Hadjer Belkadi, Abdelkrim Bourzam, Messaoud Saidani

“…Nonlinear finite element analysis was performed to predict pre-peak load versus mid-span deflection and crack propagation. …”
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ESO-Based Non-Singular Terminal Filtered Integral Sliding Mode Backstepping Control for Unmanned Surface Vessels by Jianping Yuan, Zhuohui Chai, Qingdong Chen, Zhihui Dong, Lei Wan

“…Aiming at the control challenges faced by unmanned surface vessels (USVs) in complex environments, such as nonlinearities, parameter uncertainties, and environmental perturbations, we propose a non-singular terminal integral sliding mode control strategy based on an extended state observer (ESO). …”
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A Sparse Feature-Based Mixed Signal Frequencies Detecting for Unmanned Aerial Vehicle Communications by Yang Wang, Yongxin Feng, Fan Zhou, Xi Chen, Jian Wang, Peiying Zhang

“…How to effectively improve the detection accuracy of each frequency component in the electromagnetic space mixed signals and avoid spectrum conflicts will become one of the crucial issues currently faced by unmanned aerial vehicle (UAV) communication technologies. …”
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A Self-Supervised Feature Point Detection Method for ISAR Images of Space Targets by Shengteng Jiang, Xiaoyuan Ren, Canyu Wang, Libing Jiang, Zhuang Wang

“…Firstly, this paper simulates an ISAR primitive dataset and uses it to train the proposed basic feature point detection model. …”
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Decoding the Spatiotemporal Complexities of the Permafrost Carbon Feedback With Multimodal Ensemble Learning by B. A. Gay, N. J. Pastick, J. D. Watts, A. H. Armstrong, K. R. Miner, C. E. Miller

“…Abstract Complex nonlinear relationships exist between the permafrost thermal state, active layer thickness, and terrestrial carbon cycle dynamics. …”
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Airflow Rate Control of Oscillating Water Column for Maximising Wave Energy Capture by Ali Salam Al-Khayyat, Ahmed A. Ouda, Mustafa Jameel Hameed

“…The dynamic of OWC is nonlinear in nature and it is intricate, thus its plant is simplified and linearised so as to apply the control scheme. …”
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Fractional-order model of malaria incorporating treatment and prevention strategies by Benedict Celestine Agbata, Sander Kovaci, Dennis Ferdinand Agbebaku, Raimonda Dervishi, Emmanuel Abah, Godwin Christopher Ezike Mbah, Homan Emadifar, Aseel Smerat

“…Using the fractional Adams–Bashforth–Moulton method, we simulated various scenarios to explore the effects of model parameters and fractional-order values. …”
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Robust Hybrid Control Algorithm for Tuning the Altitude and Attitude of Unmanned Aerial Vehicle by Bohang Wang, Daobo Wang

“…For the tuning of nonlinear parameters of the UAV, we designed, robust hybrid control algorithm is used. …”
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SpatioTemporal Random Forest and SpatioTemporal Stacking Tree: A novel spatially explicit ensemble learning approach to modeling non-linearity in spatiotemporal non-stationarity by Yun Luo, Shiliang Su

“…This study contributes to the methodological innovation of spatially explicit modeling by bringing the nonlinearity in spatiotemporal non-stationarity to the fore.…”
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Constructing and Predicting Solutions for Different Families of Partial Differential Equations: A Reliable Algorithm by Mubashir Qayyum, Amna Khan

“…At first, proposed algorithm is applied to Buckmaster-type linear and nonlinear equations, and attained the closed-form solutions. …”
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Enhanced seasonal contrast of surface mixed layer depth in the North Indian Ocean under a CO2 removal scenario by Shang-Min Long, Chenyi Sun, Zhen Gao, Ming Feng, Xia Qu, Gang Huang, Xingrong Chen

“…This work investigates this issue utilizing climate models’ simulations under an idealized scenario with symmetric increase and decrease in atmospheric CO2. …”
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On the Role of Early Case Detection and Treatment Failure in Controlling Tuberculosis Transmission: A Mathematical Modeling Study by Dipo Aldila, Derio A. Ramadhan, Chidozie W. Chukwu, Bevina D. Handari, Muhammad Shahzad, Putri Zahra Kamalia

“…In this study, we present a rigorous mathematical model of TB transmission that incorporates early case detection and addresses the critical issue of treatment failure. Through the development of a system of nonlinear ordinary differential equations, we conduct comprehensive analyses to assess the dynamics of TB transmission and the efficacy of intervention strategies. …”
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State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

“…In underground environments characterized by dust, humidity, and explosion risks, the degradation process of lithium-ion batteries (LIBs) often exhibits nonlinear and multistage characteristics, making it difficult for traditional single models to comprehensively capture their dynamic changes. …”
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Modeling and verification of an improved contact force in multibody systems by Wenhui Chen, Xupeng Wang, Yang Liu, Yimo Han, Yicheng He

“…To more accurately describe common collision phenomena and their impact on the dynamic characteristics of multibody systems, this paper introduces a contact force model with improved nonlinear stiffness and damping coefficients. This model is based on Hertz theory and considering the relationship between indentation and velocity during the collision process by incorporating a nonlinear index factor, m . …”
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Novel Physics-Informed Artificial Neural Network Architectures for System and Input Identification of Structural Dynamics PDEs by Sarvin Moradi, Burak Duran, Saeed Eftekhar Azam, Massood Mofid

“…When compared with traditional Artificial Neural Networks (ANNs), this approach requires substantially smaller training data and does not suffer from generalizability issues. In this regard, the states, inputs, and parameters of dynamic state-space equations of motion were estimated using simulated experiments with “noisy” data. …”
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A Novel Logarithmic Approach to General Relativistic Hydrodynamics in Dynamical Spacetimes by Mario Imbrogno, Rita Megale, Luca Del Zanna, Sergio Servidio

“…A key innovation of our work is the logarithmic transformation applied to critical variables such as rest-mass density, energy density, and pressure, thus preserving physical positivity and mitigating numerical issues associated with extreme variations. Our formulation is fully compatible with advanced numerical techniques, including spectral methods and Fourier-based algorithms, and it is particularly suited for simulating highly nonlinear regimes in which gravitational fields play a significant role. …”
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