Combinatorial Price Offer for a Wind Turbine with Flexible Load Considering the Uncertainty to Increase the Benefit of Wind Turbine by Behnam Sobhani, Sadegh Afzal

“…However, one of the significant challenges is offering the amount of generation and generation price in the next-day market because, on the one hand, this energy has nonlinear behavior, and on the other hand, any imbalance between forecast and generation results in the generation unit being fined. …”
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Machine Learning-Based Offloading Strategy for Lightweight User Mobile Edge Computing Tasks by Shuchen Zhou, Waqas Jadoon, Junaid Shuja

“…Firstly, a scheme for multiuser frequency division multiplexing approach in mobile edge computing offloading is proposed, and a mixed-integer nonlinear optimization model for energy consumption minimization is developed. …”
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Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data by Conor T. Doherty, Meagan S. Mauter

“…We also compare FDA (which is linear) to nonlinear planting date estimation models based on curve-fitting and random forest (RF) estimators. …”
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Spatial analysis of speculation in the US housing market by Salaheddin Manochehri, Ramin Amani, Jamal Mamkhezri

“…Employing advanced analytical techniques, including nonlinear least squares and time-varying parameter ordinary least squares, we delve into the spatial patterns of speculation within the housing market. …”
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Objects outline delineation by nonliniear filtration methods for boundary pixels by D. V. Zaerko, V. A. Lipnitski, N. L. Bobrova, Dm. V. Zaerko

“…The level of importance are defined by multi used nonlinear filters to border pixels and then union a few images without distortions at the boundaries. …”
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“Energy for Free” in Resonance Electrical Circuits by Ophir Flomenbom

“…We derive the formula for the additional energy [Formula: see text], [Formula: see text], with coefficients that might also depend on [Formula: see text] and V, introducing nonlinear effects.…”
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Mudharabah, musyarakah, financing risk, and performance of Islamic banks: Empirical evidence from Indonesia by Radhita Asfarina Annizar, Eddy Junarsin

“…Methodology – Using panel data and quadratic regression analysis, we explore the nonlinear relationships among mudharabah, musyarakah, financing risk, and performance of Islamic banks in Indonesia using a sample of 14 Indonesian Islamic banks during the period to 2008-2020. …”
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An Alternative Method for Traffic Accident Severity Prediction: Using Deep Forests Algorithm by Jing Gan, Linheng Li, Dapeng Zhang, Ziwei Yi, Qiaojun Xiang

“…These models gradually evolved from linear to nonlinear forms and from traditional statistical regression models to current popular machine learning models. …”
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Numerical Analysis of Hybrid Steel Beams with Trapezoidal Corrugated Web Nonwelded Inclined Folds by Yasir M. Alharthi, Ibrahim A. Sharaky, Ahmed S. Elamary

“…Three-dimensional FE models were developed considering the nonlinear properties of materials and geometric imperfection and validated using five hybrid specimens that were fabricated and tested experimentally by the authors. …”
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Quenching dynamics in highly doped erbium fiber core-pumping, amplifier configuration by Pablo G. Rojas Hernandez, Shankar Pidishety, Johan Nilsson

“…Our experimental analysis of quenching dynamics not only highlights an approach for scaling pulse energy using shorter fiber lengths to mitigate nonlinear effects but also provides valuable insights into quenching-influenced gain behavior in pulsed fiber amplifier systems.…”
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Image Texture Analysis and Edge Detection Algorithm Based on Anisotropic Diffusion Equation by Xiaoqin Li

“…This paper uses partial differential equation image processing techniques to establish image texture analysis models based on nonlinear anisotropic diffusion equations for image denoising, image segmentation, and image decomposition. …”
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A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness by Xin Zhang, Zhikang Lin, Song Gu

“…This advantage is mainly attributed to its strong generalization ability, nonlinear processing ability, and the ability to optimize and adapt to the feature space. …”
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Artificial Neural Network Modeling of Abrasion Loss and Surface Roughness of Crab Carapace Impregnated Coir Vinyl Ester Composites by S. Rajamuneeswaran, S. Jayabal, N. Nagaprasad, G. Veerappan, Leta Tesfaye Jule, Ramaswamy Krishnaraj

“…Low velocity integrated wear loss tests on composite samples were carried out, and also the average surface roughness is measured in the fabricated composites. Nonlinear regression equations were developed to study the correlation between tribological behaviors and fabrication parameters. …”
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Prediction Model for Spontaneous Combustion of Coal around Boreholes Using Bedding Gas Drainage by Youxin Zhao, Qingjie Qi, Xinlei Jia

“…The results showed a nonlinear regression relationship between the sealing hole length, sealing hole depth, negative pressure, and coal seam depth and the spontaneous combustion of the coal around the gas drainage borehole; the prediction regression model is significant. …”
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A Review on Machine Learning Application in Biodiesel Production Studies by Yuanzhi Xing, Zile Zheng, Yike Sun, Masoome Agha Alikhani

“…Biodiesel production is an intricate process that requires identifying unknown nonlinear relationships between the system input and output data; therefore, accurate and swift modeling instruments like machine learning (ML) or artificial intelligence (AI) are necessary to design, handle, control, optimize, and monitor the system. …”
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A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm by Seyed Abdonnabi Razavi, Navid Siahpolo, Mehdi Mahdavi Adeli

“…To establish different geometrical properties of models, 3−, 6−, 9−, 12−, 15, and 20− story steel EBF frames were considered with 3 different types of link beam, 3 different types of column stiffness, and 3 different types of brace slenderness. Using nonlinear time history under 20 near-fault earthquake, all models were analyzed to reach 4 different performance levels. 6769 data were used as GA training data. …”
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Predictive Analysis of Economic Chaotic Time Series Based on Chaotic Genetics Combined with Fuzzy Decision Algorithm by Xiuge Tan

“…The irreversibility in time, the multicausality on lines, and the uncertainty of feedbacks make economic systems and the predictions of economic chaotic time series possess the characteristics of high dimensionalities, multiconstraints, and complex nonlinearities. Based on genetic algorithm and fuzzy rules, the chaotic genetics combined with fuzzy decision-making can use simple, fast, and flexible means to complete the goals of automation and intelligence that are difficult to traditional predicting algorithms. …”
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A Real-Time Embedded Control System for Electro-Fused Magnesia Furnace by Fang Zheng, Yang Jie, Tao Shifei, Wu Zhiwei, Chai Tianyou

“…Since smelting process of electro-fused magnesia furnace is a complicated process which has characteristics like complex operation conditions, strong nonlinearities, and strong couplings, traditional linear controller cannot control it very well. …”
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Research on Bridge Structure Reliability Evaluation due to Vessels Collison Based on a Statistical Moment Method by Tao Fu, Yang Liu, Zhixin Zhu

“…This paper combines the moment method theory of structural reliability with finite element analysis and proposes a statistical moment method based on finite element analysis for the calculation of vessel-bridge collision reliability, which solves the structural reliability problem with a nonlinear implicit performance function. According to the probability model based on current velocity, vessel velocity, and vessel collision tonnage, the estimate points in the standard normal space are converted into estimate points in the original state space through the Rosenblatt reverse transform. …”
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Physical Simulation of the Water-Conducting Fracture Zone of Weak Roofs in Shallow Seam Mining Based on a Self-Designed Hydromechanical Coupling Experiment System by Hao Zha, Weiqun Liu, Qinghong Liu

“…The relationship between fracture depth and coal-seam excavation distance is obviously nonlinear. The leakage velocity of surface water remains stable in the early stage of excavation and increases when the fracture develops through the main aquifuge. …”
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