An Adaptive Intrusion Detection System for Evolving IoT Threats: An Autoencoder-FNN Fusion by J. Jasmine Shirley, M. Priya

“…The Autoencoder captures and reduces the dimensionality of high-dimensional IoT network traffic data, and the FNN distinguishes between normal network behaviour and various intrusion patterns by leveraging its ability to model nonlinear relationships. This dual-stage architecture offers adaptability to dynamic network conditions, accurately identifying attack instances while minimizing false positives. …”
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Multiplayer games and HIV transmission via casual encounters by Stephen Tully, Monica-Gabriela Cojocaru, Chris T. Bauch

“…They assess changes made at the population level for different intervention strategies.To further understand how individual changes affect the population as a whole, game-theoretical models are used to quantify the decision-making process.Investigating multiplayer nonlinear games that model HIV transmission represents a unique approach in epidemiological research. …”
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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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Cerebral compliance assessment from intracranial pressure waveform analysis: Is a positional shift-related increase in intracranial pressure predictable? by Donatien Legé, Pierre-Henri Murgat, Russell Chabanne, Kevin Lagarde, Clément Magand, Jean-François Payen, Marion Prud'homme, Yoann Launey, Laurent Gergelé

“…Adding more features to the input set and/or using nonlinear machine learning algorithms did not significantly improve classification performance. …”
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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…The research results show that the prediction effect of the classification model based on traditional linear regression is generally lower than that of the model based on the classification algorithm based on machine learning, and there is a complex nonlinear relationship between platform default and its related influencing factors. …”
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Multiscale Investigations of Overtopping Erosion in Reinforced Tailings Dam Induced by Mud-Water Mixture Overflow by Meibao Chen, Xiaofei Jing, Xiaohua Liu, Xuewei Huang, Wen Nie

“…This investigation conclusively showed that the red mud concentration for flooding over the dam slope had a nonlinear trend of first becoming larger, subsequently decreasing with the time going on in the process of tailing dam overtopping; the maximum red mud concentration achieved 19.0%. …”
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Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model by Wangyang Hu, Chaolong Zhang, Laijin Luo, Shanhe Jiang

“…ABSTRACT Accurately predict the remaining useful life (RUL) of lithium‐ion batteries for energy storage is of critical significance to ensure the safety and reliability of electric vehicles, which can offer efficient early warning signals in a timely manner. Considering nonlinear changes in the aging trajectory of lithium‐ion batteries, a method for predicting the RUL of lithium‐ion batteries was proposed in this study based on a complementary ensemble empirical mode decomposition (CEEMD) as well as transformer and long short‐term memory (LSTM) neural network dual‐drive machine learning model. …”
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Sex differences in the association between composite dietary antioxidant index and hyperlipidemia: Insights from NHANES. by Xiaofan Miao, Bixia Li, Zhixian Zhu, Tao Yang

“…<h4>Method</h4>We calculated the CDAI of the six dietary antioxidants using data from NHANES, explored the relationship between CDAI and the prevalence of hyperlipidemia using multivariate logistic regression analysis, and analyzed for potential nonlinear associations using restricted cubic spline. …”
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Leveraging Quantum LSTM for High-Accuracy Prediction of Viral Mutations by Prashanth Choppara, Bommareddy Lokesh

“…The QLSTM model leverages quantum computing techniques, including superposition and entanglement, to improve the model&#x2019;s ability to handle the high-dimensional, nonlinear structure inherent in viral genomic datasets. …”
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Social risks of e-learning in a digital society by E. V. Chmykhova

“…Kravchenko’s “humanistic theory of a complex society”, which has a nonlinear dynamics of development, – has been proposed. …”
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Concrete damage–plasticity model with double independent hardening by A. M. Budarin, G. I. Rempel, A. A. Kamzolkin, V. N. Alekhin

“…Being an integral part of the modern construction, concrete is a complex nonlinear material. The behaviour of concrete depends to a large extent on stress–strain state and loading history. …”
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A Cost-effective Breath-hold Coaching Camera System for Patients Undergoing External Beam Radiotherapy by Akash Mehta, Emma Horgan, Prabhakar Ramachandran, Christopher Noble

“…Results: The results showed that the absolute distance measured by the camera was nonlinear due to square light modulation, which was retrospectively corrected. …”
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Integration of predictive and computational intelligent techniques: A hybrid optimization mechanism for PMSM dynamics reinforcement by Shaswat Chirantan, Bibhuti Bhusan Pati

“…We address the challenges of traditional control methods that struggle with the dynamics and nonlinear nature of PMSMs, offering a solution that leverages the predictive capabilities of MPC and the adaptive learning potential of neural networks. …”
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Seismic and Tsunamis Vulnerability Assessment of the Shelter School Building Structure with and without Retrofitting by Fauzan, Zev Al Jauhari, Geby Aryo Agista, Atsushi Yokota, Masharya Eko Putra

“…The seismic fragility curve was determined from the maximum displacement of the building for varied earthquake acceleration, using nonlinear time history dynamic response analysis scaled using the incremental dynamic analysis method and damage limits defined by ATC-40, characterized by Hazus. …”
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Three-dimensional discrete element analysis of the excavation face stability of deep-buried shield tunnels by Xin Huang, Zihao Zhang, Guangyi Yan, Jiaqi Guo, Chong Xu, Qi Liang

“…Research results showed that (1) The horizontal displacement of tunnel excavation face and the critical chamber earth pressure ratio increase nonlinearly with the increase of tunnel burial depth; (2) The horizontal displacement of the excavation face, geological settlement, and critical chamber earth pressure ratio all increase with the increase of the cutterhead opening rate; (3) The horizontal displacement of the excavation face and the settlement of the strata increase with the increase of excavation speed and cutterhead rotation rate. …”
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Interpretable DWT-1DCNN-LSTM Network for Power Quality Disturbance Classification by Shuangquan Yang, Tao Shan, Xiaomei Yang

“…In addition, a large number of nonlinear loads are connected to the grid, resulting in frequent power quality disturbances (PQDs), which pose challenges to the stability and reliability of the power system. …”
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Effect of Admission Serum Calcium Levels and Length of Stay in Patients with Acute Pancreatitis: Data from the MIMIC-III Database by Dongyan Wang, Xiaoyan Guo, Wenwen Xia, Zhijuan Ru, Yihai Shi, Zhengyu Hu

“…RCS showed a significant nonlinear negative correlation between blood calcium levels and the LOS (p<0.001). …”
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Rainfall warning Based on indexs teleconnection, Synoptic Patterns of Atmospheric Upper Levels and Climatic elements a case study of Karoun basin by iran salehvand, amir gandomkar, ebrahim fatahi

“…For precipitation modeling, the monthly rainfall data of the Hamadid and Baranzadeh station in the statistical period (1984-2014) for 30 years as a dependent variable and climatic indexes, large-scale climatic signals including sea surface temperatures and 1000 millimeter temperatures Altitude of 500 milligrams, 200 milligrams of omega and climatic elements have been used as independent variables. Due to the nonlinear behavior of rainfall, artificial neural networks were used for modeling. …”
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A Reliable Approach for Solving Transmission Network Expansion Planning with Objective of Planning Cost Reduction by Yongqiu Liu

“…The optimization problem represented in this paper is a large-scale non-convex mixed integer nonlinear programming problem with multiple local minima. …”
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Research on the Pore Evolution of Oil Shale under Different Thermal Treatment Temperatures Using NMR and FE-SEM Methods by Yan Xi, Jun Li, Wei Lian, Haifeng Fu, Yue Qi, Yudong Tian

“…When the temperature continued to rise (700°C), the increase of permeability began to slow down. There is a nonlinear correlation between porosity and movable fluid saturation and an approximately linear correlation between permeability and movable fluid saturation. …”
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