The Problem of Adaptation of the Generalized Neural Element by E. V. Konovalov

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The criterion of significance of general adaptive ability: numerical model by E. S. Rekashus, O. V. Kurdakova

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Adapting the Insurance Pricing Model for Distribution Channel Expansion Using the Bayesian Generalized Linear Model by Carina Gunawan, Muhamad Ivan Faizal, Nanang Susyanto

“…The insurance market is changing due to new distribution channels, requiring insurers to update their pricing models. We propose a mathematical approach using Bayesian generalized linear models (GLM) to adjust insurance pricing. …”
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Single-pixel quantum ghost imaging using generalized Ising model by Hamidreza Oliaei-Moghadam, Mahmood Hosseini-Farzad, Najmeh TabeBordbar

“…For single-pixel quantum ghost imaging (QGI) systems, we introduce an adaptive pattern generation method based on the generalized Ising model. …”
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Neural network models of autonomous adaptive intelligence and artificial general intelligence: how our brains learn large language models and their meanings by Stephen Grossberg

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Numerical Simulation Data-Aided Domain-Adaptive Generalization Method for Fault Diagnosis by Tao Yan, Jianchun Guo, Yuan Zhou, Lixia Zhu, Bo Fang, Jiawei Xiang

Subjects: “…finite element model…”
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Generalized domain prompt learning for accessible scientific vision-language models by Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhengzhong Zeng, Xiaokang Yang, Dongxiao Zhang

Subjects: “…vision-language models…”
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Research on Feed Forward Adaptive-generalized Model Predictive Control for High-speed Train Automatic Operation by LUO Yuan, YI Jie, BAI Jinlei, ZHANG Zhengfang

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Safe Switching Model-Free Value Iteration for General Nonlinear Systems by Timotei Lala

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A General Framework for Modeling Missing Data Due to Item Selection With Item Response Theory by Paul A. Jewsbury, Ru Lu, Peter W. van Rijn

“…Through mathematical analyses and simulations, we demonstrate that this internal versus external item selection framework provides a general guide in applying missing-data and selection theory to choose a valid analysis model for datasets with missing data.…”
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A Coupled Adaptive Kriging Model and Generalized Subset Simulation Hybrid Reliability Analysis Method for Rare Failure Events by Yunhan Ling, Huajun Peng, Yong Sun, Chao Yuan, Zining Su, Xiaoxiao Tian, Peng Nie, Hengfei Yang, Shiyuan Yang

“…This research proposes a novel hybrid reliability analysis method for rare failure events, which integrates the coupled Adaptive Kriging model and Generalized Subset Simulation (AK-GSS). …”
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GFADE: generalized feature adaptation and discrimination enhancement for deepfake detection by ZhiYong Tian, Junkai Yi

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Climate adaptive energy efficiency modeling using a generalized additive approach to optimize building performance across Chinese climate zones by Jian Yang, Mu He, Xingzhu Zhang, Qimeng Ning, Yu Chen, Maryam Alsadat Ziaei Mazinan

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Spectral Adaptive Dropout: Frequency-Based Regularization for Improved Generalization by Zhigao Huang, Musheng Chen, Shiyan Zheng

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Performance Enhancement of MRAC via Generalized Dynamic Inversion by Alharith Mahmoud, Abdulrahman H. Bajodah

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Comparative analysis of adaptive and general labeling methods for soybean leaf detection by Yuseok Jeong, Yuseok Jeong, Song Lim Kim, Thanh Tuan Thai, Thanh Tuan Thai, Thanh Tuan Thai, Anh Tuan Le, Anh Tuan Le, Chaewon Lee, Hyo Jun Bae, Inchan Choi, Sheikh Mansoor, Yong Suk Chung, Kyung-Hwan Kim

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Adaptive wetland management: Insights from nonlinear dynamics between vegetation and hydrological variables by Haihua Jing, Jianwei Liu, Qin Zhang, Zhenshan Wang, XiaoTeng Pang, Xinghan Xu

“…Using the NaoLiRiver Wetlands as a case study, we developed a comprehensive framework integrating spatiotemporal image fusion, Generalized Additive Modeling (GAM), and Random Forest analysis to analyze 20 years of remote sensing and hydrological data. …”
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A Generalized Multistep Dynamic (GMD) TOPMODEL by Salim Goudarzi, David Milledge, Joseph Holden

“…Our results suggest that (a) a five‐fold improvement in model runtime can result from adaptive timestepping; (b) the additional iso‐basin discretization layer, as a way to further constrain spatial information where needed, also improves performance; and (c) the common‐practice arbitrary Topographic Index (TI) discretization substantially alters calibrated parameters. …”
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Hysteresis in Neuron Models with Adapting Feedback Synapses by Sebastian Thomas Lynch, Stephen Lynch

“…Our models capture key feedback-dependent phenomena such as bistability, multistability, periodicity, quasi-periodicity, and chaos, offering a more accurate and general representation of neural adaptation. …”
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Nonlinear Optimization and Adaptive Heuristics for Solving Irregular Object Packing Problems by János D. Pintér, Ignacio Castillo, Frank J. Kampas

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