Automatic parking trajectory planning in narrow spaces based on Hybrid A* and NMPC by Pei Zhang, SiLong Zhou, Jie Hu, WenLong Zhao, Jiachen Zheng, Zhiling Zhang, Chongzhi Gao

“…The kinematic constraints of the vehicle and obstacle avoidance constraints are then meticulously defined, and a coupled nonlinear model predictive control (NMPC) method is employed to optimize the trajectory. …”
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Testing the Adaptive Market Hypothesis and Time-Varying Efficiency in the Indian Equity Market by Nang Biak Sing, Rajkumar Giridhari Singh

“…We apply three variations of the variance ratio test and the returns have been whitened using the Autoregressive model with generalized autoregressive conditional heteroskedasticity (AR-GARCH) approach to examine the nonlinear predictability test. Further, we evaluate a fixed-length subsample window framework to detect the time-varying predictability and examine whether market conditions affect stock return predictability and market condition. …”
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Translation Invariance-Based Deep Learning for Rotating Machinery Diagnosis by Wenliao Du, Shuangyuan Wang, Xiaoyun Gong, Hongchao Wang, Xingyan Yao, Michael Pecht

“…Although deep learning algorithms can automatically learn a good set of features without manual intervention, the lack of domain knowledge greatly limits the performance improvement, especially for nonstationary and nonlinear signals. This paper develops a multiscale information fusion-based stacked sparse autoencoder fault diagnosis method. …”
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Effects of Location-Specific Meteorological Factors on COVID-19 Daily Infection in a Tropical Climate: A Case of Kuala Lumpur, Malaysia by Ezekiel Kaura Makama, Hwee San Lim

“…A generalized additive model (GAM) was imposed on ambient temperature (T) and absolute humidity (AH) to explore their nonlinear relationship with NDI. Piecewise linear regression was then used to further discern the relationships below and above the threshold values of both T and AH. …”
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A Review of Optical Interferometry for High-Precision Length Measurement by Guangyao Huang, Can Cui, Xiaoyang Lei, Qixue Li, Shuhua Yan, Xinghui Li, Guochao Wang

“…With regard to discussion on enhancement of measurement precision, special attention is given to periodic nonlinear errors and phase demodulation methods. This review offers insights into current challenges and potential future directions for improving interferometric measurement systems, and also emphasizes the role of innovative technologies in advancing precision metrology technology.…”
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Customized Bus Route Optimization with the Real-Time Data by Kai Huang, Lin Xu, Yao Chen, Qixiu Cheng, Kun An

“…The second phase optimizes the bus route by establishing three nonlinear programming models under the given data from phase 1. …”
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Leveraging Harris Hawks Optimization for Enhanced Multi-Objective Optimal Power Flow in Complex Power Systems by Fahad Alsokhiry

“…HHO, which shares characteristics with ant behavior, demonstrates significant strength in addressing high-dimensional, nonlinear optimization issues within power systems. …”
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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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Parkinson’s Disease and Home Healthcare Use and Expenditures among Elderly Medicare Beneficiaries by Sandipan Bhattacharjee, Aaron Metzger, Cindy Tworek, Wenhui Wei, Xiaoyun Pan, Usha Sambamoorthi

“…Logistic regressions and Ordinary Least Squares regressions were used to assess the association of PD with home health use and expenditures, respectively. Postregression nonlinear and linear decomposition techniques were used to understand the extent to which differences in home healthcare use and expenditures among elderly Medicare beneficiaries with and without PD can be explained by individual-level factors. …”
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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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Reference Input Signals Formation for Induction Motor Control in Traction Drive by O. F. Opeiko

“…A wide change in speed with the weakening of the flux reveals the nonlinear properties of an induction electric motor. …”
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Shot-Noise Limited Time-Encoded Raman Spectroscopy by Sebastian Karpf, Matthias Eibl, Wolfgang Wieser, Thomas Klein, Robert Huber

“…This practical limitation can be overcome by nonlinear enhancement techniques like stimulated Raman scattering (SRS). …”
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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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Modeling the Tripodal Mobile Market Using Response Functions Instead of Payoff Maximization by Aynur Ali, Atanas Ilchev, Vanya Ivanova, Hristina Kulina, Polina Yaneva, Boyan Zlatanov

“…The additional analysis confirms that there are no dependencies, even of a nonlinear type, in the constructed models that are not included. …”
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The Effect of Microsized Aluminum Powder on Thermal Decomposition of HNIW (CL-20) by Xiaoxiang Mao, Chenguang Zhu, Yanchun Li, Yifan Li, Longfei Jiang, Xiaoming Wang

“…The kinetic parameters of CL-20 and CL-20/Al were obtained by ASTM685 and Friedman methods, respectively, indicating that Al powder decreases the activation energy of CL-20 slightly and has a catalytic effect on the thermal decomposition of CL-20. By the method of nonlinear multivariate regression, kinetic models of CL-20 and CL-20/Al were derived as fα=1−αn1+kcat⋅α, where the lgkcat of CL-20 and CL-20/Al is 1.97 and 2.12, respectively, showing that the autocatalytic ability of CL-20 had been increased by adding Al powder. …”
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Variation of Pore Water Pressure in Tailing Sand under Dynamic Loading by Jia-xu Jin, Hong-zhi Cui, Li Liang, Shi-wang Li, Ping-yi Zhang

“…A complementary multivariate nonlinear equation was also derived for predicting the tailing pore water pressure under dynamic loading.…”
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Hypernetwork link prediction method based on the SCL-CMM model by REN Yuyuan, MA Hong, LIU Shuxin, WANG Kai

“…This method federated learned the structural characteristics and aggregation attributes of hypernetworks to model the high-order nonlinear behavior of each subgraph, thereby solving the problems of single category and low precision in heterogeneous hypergraphs link prediction. …”
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An Analytical Solution for Non-Darcian Flow on a Constant Head Packer Test in the Interlayer Staggered Zone by Qi Shen, Zhifang Zhou, Meng Chen, Sijia Li, Zhe Wang, Yabing Li

“…A linearization approximation of the Izbash equation is used to approximate the nonlinear term in the governing equation. This analytic model is applied to describe the non-Darcian flow in the interlayer staggered zone at the Baihetan hydropower station, China. …”
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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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Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism by Zeynep Tanis, Ali Durusu

“…A storage virtualization model is developed to minimize storage costs, and a nonlinear programming multiobjective model optimizes battery energy storage. …”
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