RecNet: Reinforcement Common Feature Mapping Network for Fast Template Matching in Visible-LWIR Images by Donyung Kim, Seungeon Lee, Inho Park, Geonjong Kim, Sungho Kim

“…We present RecNet, a novel end-to-end CNN approach for fast template matching in cross-spectral images, addressing nonlinear intensity disparities and appearance differences in ground-level imagery through a simple yet effective design. …”
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A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System by Rostand Marc Douanla, Godpromesse Kenné, François Béceau Pelap, Armel Simo Fotso

“…The results analysis shows the superiority of the proposed RBF neuro-sliding mode controller compared to a nonlinear controller based on sliding mode control method when the system undergoes parameter uncertainties.…”
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Rethinking the measurements and predictors of environmental degradation in Ethiopia: Predicting long-term impacts using a kernel-based machine learning approach by Tesfaye Etensa, Tekie Alemu, Mengesha Yayo

“…The relationships among these predictors are complex, often nonlinear, non-additive, and include reverse causality, making it difficult for traditional econometric models to capture them. …”
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Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

“…First, the time domain features were extracted by kernel principal component analysis, the frequency domain features were extracted by short-time Fourier extracted transform, and the nonlinear dynamic features were extracted by calculating sample entropy. …”
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Marked point process variational autoencoder with applications to unsorted spiking activities. by Ryohei Shibue, Tomoharu Iwata

“…To demonstrate the strength of this approach, we integrate our model into a state space model with a nonlinear embedding to capture the hidden state dynamics underlying the observed covariates and unsorted spikes. …”
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A Multi-Method Comparison of Machine Learning in predicting pharmacokinetic parameters: A simulation study by marziyeh Doostfatemeh, kamal Amini, Elham Haem

“…This makes SVR a promising method for covariate selection in nonlinear mixed-effect models. Conclusion: The Lasso method offered a higher MAE, making it less promising than RF and SVR, especially when dealing with a high correlation between covariates and a low number of individuals. …”
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Advancements in Acoustic Cavitation Modelling: Progress, Challenges, and Future Directions in Sonochemical Reactor Design by T.Joyce Tiong, Jin Kiat Chu, Khang Wei Tan

“…In addition to bubble-induced cavitation, the review addresses nonlinear wave propagation in the absence of bubbles, highlighting phenomena such as harmonic generation and shock wave formation. …”
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Testing the Strength of Chaotic Systems as Seeds in a Pseudo Random Bit Generator by Lazaros Moysis, Marcin Lawnik, Christos Volos, Murilo S. Baptista, Sotirios K. Goudos, George F. Fragulis

“…First, the structure of the bit generator’s nonlinear hash is studied. Then, using a collection of different maps, the generator is evaluated with respect to randomness, key space size, operations per bit ratio, and execution speed. …”
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Hybrid optimization of EDLP and high-low pricing strategies by Hamed Karimi

“…To enhance the model's practical applicability, particularly in small-scale scenarios, the nonlinear problem is transformed into a Mixed-Integer Programming (MIP) model, facilitating its solvability. …”
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Controlling Underwater Robots with Electronic Nervous Systems by Joseph Ayers, Nikolai Rulkov, Dan Knudsen, Yong-Bin Kim, Alexander Volkovskii, Allen Selverston

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Investigation of new solitary stochastic structures to the Heisenberg ferromagnetic spin chain model via a Stratonovich sense by Md. Nur Alam

“…Solitons, as localized wave phenomena, play a significant role in many areas of nonlinear science, such as quantum mechanics, plasma physics, fluid dynamics, water engineering, and optical fiber technology.…”
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Safety Assessment of Ship Collision with Piers under the Protection of Anti-Collision Floating Box Based on BIM Technology by Ying-hao Chen, Cheng Liu, Xue-feng Zhao, Fa-xiong Li

“…In order to research the force state of the piers subjected to a ship collision under the protection of floating anti-collision facilities, this study uses nonlinear spring connections to simulate the impact of ship damping and incidental water quality in the collision area. …”
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Research on Cumulative Damage Characteristics of Rock Anchor Beam Concrete Supporting Structure by Blasting Vibration of Underground Powerhouse by Sheng Wan, Junhong Huang, Yi Luo, Xinping Li, Qingsong Pu

“…The results show that 7 days after the completion of the concrete pouring of rock anchor beam, the damage and destruction effects are produced under the single blasting action. 28 days after the completion of the concrete pouring, there is basically no damage and destruction under the action of five times of blasting. 14 days after the completion of the concrete pouring, the growth process of the cumulative damage effect of the rock anchor beam concrete structure under the disturbance of the blasting excavation of the underground powerhouse shows nonlinear increasing characteristics with the increase of blasting times and nonlinear decreasing characteristics with the increase of blasting center distance. …”
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Characterizing Climatic Socio‐Environmental Tipping Points in Coastal Communities: A Conceptual Framework for Research and Practice by J. E. Shortridge, A. Bukvic, M. Mitchell, J. Goldstein, T. Allen

“…Abstract The concept of climate tipping points in socio‐environmental systems is increasingly being used to describe nonlinear climate change impacts and encourage social transformations in response to climate change. …”
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Lateral Parametric Vibration of Footbridge under Pedestrian Excitation considering the Time-Delay Effect by Zhou Chen, Hongxin Lin, Deyuan Deng, Wanjie Xu, Hanwen Lu, Zepeng Chen

“…Considering the influence of structural geometric nonlinearity, a nonlinear lateral parametric vibration model is established based on the relationship between force and speed. …”
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Advanced Control for Shipboard Cranes with Asymmetric Output Constraints by Mingxuan Cao, Meng Xu, Yongqiao Gao, Tianlei Wang, Anan Deng, Zhenyu Liu

“…Considering the anti-swing control and output constraint problems of shipboard cranes, a nonlinear anti-swing controller based on asymmetric barrier Lyapunov functions (BLFs) is designed. …”
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A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data by Masoud Najafzadeh, Jaber Pouladi, Ali Daghigh, Jamal Beiza, Sima Shahmohamadi

“…Hence, in the current study, nonlinear methods are presented for identifying the location of ground faults in the power distribution network with the help of voltage phasor measurement at different network buses by the D-PMU phased distribution unit. …”
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Analysis of the Bearing Characteristics of Single Piles under Vertical and Torsional Combined Loads by Shun-Wei Wang, Jie Jiang, Chen-Zhi Fu, Xiao-Duo Ou, Juan Tang

“…To investigate the bearing characteristics of single piles under the combined action of vertical loads (V) and torque (T) on a pile head, the displacement governing equations of the pile shaft were proposed in consideration of the load transfer method, and the nonlinear solution of a single-loaded pile (vertical load or torque) was calculated by the finite difference method. …”
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Application of Improved Combined Deterministic-Stochastic Subspace Algorithm in Bridge Modal Parameter Identification by Peng Wen, Inamullah Khan, Jie He, Qiaofeng Chen

“…In this paper, a novel method is proposed, which is a time-domain identification algorithm, based on sliding window-fuzzy C-means clustering algorithm-combined with deterministic-stochastic subspace identification (SC-CDSI), to achieve online intelligent tracking and identification of modal parameters for nonlinear time-varying structures. First of all, to realize the online tracking and identification process, it is necessary to divide the input and output signal of the nonlinear time-varying structure by windowing; for that, to determine the window function, window size and window step length according to the characteristics of the signal are analyzed. …”
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Evaluation of the American Approach for Detecting Plan Irregularity by V. Alecci, M. De Stefano, S. Galassi, M. Lapi, M. Orlando

“…Nevertheless, both the ASCE approach and the threshold value of 1.2 need to be supported by adequate background studies, based also on nonlinear seismic analysis. In this paper, a numerical analysis is carried out, by studying the seismic response of an existing R/C school building taken as the reference structure. …”
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