Improving Offshore Wind Speed Forecasting with a CRGWAA-Enhanced Adaptive Neuro-Fuzzy Inference System by Yingjie Liu, Fahui Miao

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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…Abstract This study aims to improve both the evaluation accuracy and the real-time feedback capability in monitoring athletes’ physical function changes during volleyball training. Firstly, based on the framework of the generalized regression neural network, a variable-structure generalized regression neural network (VSGRNN) is proposed and developed. …”
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Infrared Small Target Detection Based on Entropy Variation Weighted Local Contrast Measure by Yuyang Xi, Yushan Zhang, Ying Jiang, Liuwei Zhang, Qingyu Hou

“…Secondly, a novel adaptive weighting strategy based on local joint entropy variation characteristics is suggested. …”
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A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment by Cai Dai, Xiujuan Lei

“…Recently, decomposition-based multiobjective evolutionary algorithms have good performances in the field of multiobjective optimization problems (MOPs) and have been paid attention by many scholars. Generally, a MOP is decomposed into a number of subproblems through a set of weight vectors with good uniformly and aggregate functions. …”
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Improving Sharpness-Aware Minimization Using Label Smoothing and Adaptive Adversarial Cross-Entropy Loss by Tanapat Ratchatorn, Masayuki Tanaka

“…Recent advances in learning algorithms have identified loss surface sharpness as an effective metric for reducing the generalization gap. Building on this principle, Sharpness-Aware Minimization (SAM) was introduced to improve model generalization and has achieved state-of-the-art performance through its weight perturbation and updating steps. …”
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Multigoal-oriented a posteriori error control for heated material processing using a generalized Boussinesq model by Beuchler, Sven, Endtmayer, Bernhard, Lankeit, Johannes, Wick, Thomas

“…The focus is on multigoal-oriented error estimation with the dual-weighted residual method in which an adjoint problem is utilized to obtain sensitivity measures with respect to several goal functionals. …”
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Network security traffic detection and legal supervision based on adaptive metric learning algorithm by Liu Zhen

“…Using the vertex weighted function algorithm, we can analyze the Time complexity of the original algorithm and calculate more accurate time values. …”
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Parameter Selection Method for Support Vector Regression Based on Adaptive Fusion of the Mixed Kernel Function by Hailun Wang, Daxing Xu

“…In this way, we realize the adaptive selection of mixed kernel function weighted coefficients and the kernel parameters, the regression parameters. …”
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Multi‐Annual Inventorying of Retrogressive Thaw Slumps Using Domain Adaptation by Yiling Lin, Xie Hu, Haoyu Lu, Fujun Niu, Gengnian Liu, Lingcao Huang, Shanghang Zhang, Jifu Liu, Yunhuai Liu

“…We introduced the Tversky loss and the automatic adjustment of weights for multiple loss functions to suppress false positives and to improve the generalization of TADA. …”
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Unveiling the ecological dominance of button mangrove (Conocarpus erectus L.) through microstructural and functional traits modifications across heterogenic environmental condition... by Ummar Iqbal, Akkasha Azam, Khawaja Shafique Ahmad, Sahar Mumtaz, Ansar Mehmood, Nargis Naz, Zartasha Usman, Hina Abbas, Muhammad Akram

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An Analytical Cost Function Design and Implementation for Predictive Control of Induction Machine Drives by Wei Wei, Liming Yan, Shun Tian, Xisheng Xu, Keke Sun

“…Generally, for weighting factors of FCS-MPTC, the rating method or cut-and-trial method are often utilized. …”
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An Efficient Dropout for Robust Deep Neural Networks by Yavuz Çapkan, Aydın Yeşildirek

“…This paper proposes an upgraded regularization technique merging adaptive sigmoidal dropout with weight amplification, seeking to dynamically adjust neuron deactivation depending on weight statistics, activation patterns, and neuron history. …”
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Integral evaluation of the formation of adaptive capacity of the children's body under the condition of systematic specific physical load by Hanna Latina, Iryna Kalynychenko, Olena Tkachuk, Oksana Danysko, Tetyana Ivanova

“…The article considers the possibility of using quantitative and qualitative indicators, which characterize in general the adaptive capacity of the children’s body under the condition of systematic specific physical load. …”
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Different whole body HIIT protocols do not promote different muscle thickness and functional adaptations among healthy physically active subjects by Alexandre L. Evangelista, Júlio B. B. de Camargo, Roberta L. Rica, Luiz Carlos Carnevali Júnior, Gregg S. Mallett, Valentina Bullo, Marco Bergamin, Stefano Gobbo, Danilo S. Bocalini

“…IntroductionDespite robust evidence on the benefits of high intensity interval training using body weight (WB-HIIT), the effects of different training configurations on morpho-functional adaptations are still unclear. …”
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Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion by Xuwen Wang, Jiang Li

“…By constructing a secondary cross-shaped sensor array model, employing a phase transform weighting function to suppress environmental noise, and incorporating an adaptive environmental compensation algorithm to eliminate multipath effects, a set of spatial localization equations is established. …”
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A data-driven cost estimation model for agile development based on Kolmogorov-Arnold Networks and AdamW optimization by Xiaoyan Zhao, Xin Xiong, Zulkefli Mansor, Rozilawati Razali, Mohd Zakree Ahmad Nazri, Liangyu Li

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A New Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi‐Source Information Fusion by Yuhang Wang, Dengxuan Li, Wenwen Ma, Xi Zhang, Honglu Zhu

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Attention Mechanism and Weighted Trend Loss for Wind Speed Correction by Liu Xu, Yang Hao, Liang Xiaoyun, Chen Jing, Li Qiaoping, Li Ruqing, Chen Min

“…The focus will be on further refining adaptive loss function and enhancing the model's generalization capabilities across various regions and scenarios.…”
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Weight illusions explained by efficient coding based on correlated natural statistics by Paul M. Bays

“…We show that the precision with which human observers estimate object weight varies as a function of both mass and volume in a manner consistent with the estimated joint distribution of those properties among everyday objects. …”
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Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

“…To solve the problem of choosing the complexity of a question, it is proposed to use a feed-forward network, a comparison of various ANN architectures and training parameters (weight update algorithms, loss functions, number of training epochs, packet sizes) is carried out. …”
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