Reliability Analysis of Structures by Iterative Improved Ensemble of Surrogate Method by Bolin Liu, Liyang Xie

“…Besides, a learning function is used to guide the selection of the next sampling candidate. …”
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GAN-based pseudo random number generation optimized through genetic algorithms by Xuguang Wu, Yiliang Han, Minqing Zhang, Yu Li, Su Cui

“…Based on this framework, we propose a novel recursive PRNG. Given that a PRNG can be constructed from one-way functions and their associated hardcore predicates, our proposed generator consists of two neural networks that simulate these functions and serve as the state transition function and the output function, respectively. …”
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Improving the closing sequences of interaction between human and robot through conversation analysis by Takahisa Uchida, Nahoko Kameo, Hiroshi Ishiguro

“…A constructive approach urges us to reproduce complicated social phenomena in human-robot interaction so that we can investigate the underlying cognitive mechanisms of humans and create robots that can convey human-like cognition functions and coexist with humans. Taking such a constructive approach, we posit that our recursive model for dialogue systems that uses CA insights and then qualitatively analyzes conversational data can enhance the quality of dialogue systems because the model elucidates which properties of a conversation humans need to experience a conversational robot as human-like. …”
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A DMPC-based three-dimensional cooperative guidance scheme with impact time and impact angle constraints by Zijie Jiang, Xiuxia Yang, Cong Wang, Yi Zhang, Hao Yu

“…The cooperative guidance scheme consists of a fractional power function-based extended state observer (FPESO) for disturbance estimation, and a DMPC controller to generate the control actions. …”
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Using Artificial Neural Network Modeling in Predicting the Amount of Methyl Violet Dye Absorption by Modified Palm Fiber by Rashin Andayesh, Maryam Abrishamkar, Hossein Hodaee

“…In order to find a suitable model of parameters and calculate the desired output, two radial basis function (RBF) and multi-layer perceptron (MLP) non-recursive functions, which are among widely used artificial neural networks, were used for training the input data. …”
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On Safety of Unary and Non-unary IFP-operators by Sergey Dudakov

“…IFP-operators exactly correspond to recursive SQL-queries hence this problem has a value for database theory. …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…Machine learning (ML) models such as Random Forest, LightGBM, and CatBoost were employed alongside feature selection methods like mutual information gain (MI) and Recursive Feature Elimination (RFE). A custom loss function is leveraged to accurately predict the mortality cases and avoid misclassifications by penalizing the false negatives. …”
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Orthogonal Components Forming of the Microprocessor-Based Protection Input Signals by F. A. Romaniuk, V. Yu. Rumiantsev, Yu. V. Rumiantsev, V. S. Kachenya

“…The proposed algorithm for generating OS input signals in microprocessor defenses is characterized by high performance in transient modes and has wide functionality. A block diagram of an OS equivalent signal generator has been developed, all blocks of which can be implemented according to known schemes on a microelectronic and microprocessor element base. …”
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Time-varying MVAR algorithms for directed connectivity analysis: Critical comparison in simulations and benchmark EEG data. by Mattia F Pagnotta, Gijs Plomp

“…Time-varying multivariate autoregressive (tvMVAR) modeling has been proposed as a way to help quantify directed functional connectivity strengths with high temporal resolution. …”
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Logic for reasoning about bugs in loops over data sequences (IFIL) by Dmitry A. Kondratyev

“…These rules allow generating formulas with recursive functions corresponding to finite iterations. …”
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iScene: An interpretable framework with hierarchical edge services for scene risk identification in 6G internet of vehicles by Wuchang Zhong, Siming Wang, Rong Yu

“…The risk identification model has fine interpretability by using recursive feature elimination cross validation (RFECV) with the Shapley additive explanation (SHAP) to analyze the importance of different features, and further elaborately design the Focal Loss function to tackle the disparity between the difficult and easy sample learning. …”
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A New Hybrid Finite Element Method: Electromagnetic Propagation in Bent Waveguides by Joao Paulo N. Torres, V. Malo Machado, Antonio Baptista

“…In conclusion, results show that the new hybrid finite element method presented has a significant advantage on calculation time over the recursive finite element method.…”
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A holomorphic embedding power flow method based on dynamic power restart by Yi Zhang, Tian Lan, Chuandong Li, Weijie Cai, Zhiyu Lin

“…The holomorphic embedding method (HEM) is a newly developed recursive algorithm, which has the advantages of not depending on initial value selection and providing an analytical solution. …”
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Unified Probabilistic and Similarity-Based Position Estimation from Radio Observations by Max Werner, Markus Bullmann, Toni Fetzer, Frank Deinzer

“…Instead of just providing a point estimate for a given signal sequence, our model returns the distribution of possible positions as continuous probability density function, which allows for appropriate integration into recursive state estimation systems. …”
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The nonlinear association between triglyceride glucose-body mass index and femoral neck BMD in nondiabetic elderly men: NHANES 2005-March 2020. by Xiuping Xuan, Rong Sun, Caibi Peng, Lijuan Liu, Tiantian Huang, Chenghu Huang

“…<h4>Background</h4>The triglyceride glucose-body mass index (TyG-BMI) has been considered a surrogate marker for assessing insulin resistance. …”
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Biomarkers associated with cell-in-cell structure in kidney renal clear cell carcinoma based on transcriptome sequencing by Zehua Wang, Zhongxiao Zhang

“…Background Kidney renal clear cell carcinoma (KIRC), the main histological subtype of renal cell carcinoma, has a high incidence globally. Cell-in-cell structures (CICs), as a cellular biological phenomenon, play pivotal roles in cell competition, immune evasion and tumor progression in the context of KIRC. …”
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MODELING THE TRANSFER EFFECT OF EXCHANGE RATE ON PRICES IN RUSSIA by M. G. Tiunova

“…The transition to the policy of inflation targeting has reduced the dependence of inflation processes in Russia on the external market conditions and global risks.…”
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Experimental Investigation on Low-Complexity Adaptive Equalizer Including RSOP Tracking and Phase Recovery for 112&#x00A0;Gb&#x002F;s PDM-QPSK Transmission System by Pin Yi, Di Li, Haiping Song, Mengfan Cheng, Deming Liu, Lei Deng

“…NPCA is proved to not only void the singularity problem in the constant modulus algorithm (CMA) but also has faster tracking capability. Two kinds of adaptive equalizers using least mean squares NPCA (LMS-NPCA) and recursive least squares NPCA (RLS-NPCA) are compared in our simulation and experiment. …”
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Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale E... by Nanxiang Zhang, Qi Pan, Shuo Yang, Leen Huang, Jianan Yin, Hai Lin, Xiang Huang, Chonglong Ding, Xinyan Zou, Yongjun Zheng, Jinxin Zhang

“…From a machine learning interpretable perspective, the proposed method emphasized CMSE’s clinical potential in capturing autonomic dynamics and cardiac function fluctuations.…”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…The B9D2 gene, which is essential for ciliary function, has been rarely explored in CRC. This study is the first to investigate the diagnostic potential of B9D2 in CRC, using bioinformatics and machine learning to uncover its novel role in early detection, with implications for clinical translation. …”
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