Analysis of RL electric circuits modeled by fractional Riccati IVP via Jacobi-Broyden Newton algorithm. by Mahmoud Abd El-Hady, Mohamed El-Gamel, Homan Emadifar, Atallah El-Shenawy

“…Conventional models frequently neglect the complex dynamics and memory effects intrinsic to actual RL circuits. This study aims to develop a more precise representation using a fractional-order Riccati model. …”
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A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects by Yanxi Xie, Yuewen Li, Zhijie Xia, Ruixia Yan, Dongqing Luan

“…Furthermore, it demonstrates good performance in relevant-variable selection. Throughout theoretical analysis and simulations, it is confirmed that the penalized h-likelihood algorithm produces good fixed effect estimation results and can identify zero regression coefficients in modeling the mean structure.…”
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Analysis of the Effectiveness of Using a High-Accuracy Numerical Algorithm in the Simulation of Two-Phase Flow Problems by Marcin KRÓL (krolm@witu.mil.pl)

“…The analysis of the operation of powder propellant systems, which is the focus of interior ballistics, requires particularly specialised tools due to the complexity of the phenomena occurring during a shot. The development of numerical methods and the increase in the computing power of modern computers have enabled the modelling and simulation of highly complex physical problems and the development of numerical schemes with a theoretically arbitrary high order of accuracy. …”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…This new algorithmic approach was developed with a particular focus on the population initialization phase and the leading bee search phase. …”
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Land surface temperature retrieval from SDGSAT-1: assessment of different retrieval algorithms with different atmospheric reanalysis data by Meng Zhou, Huadong Guo, Xiaoying Ouyang, Dinoo Gunasekera, Zhongchang Sun

“…This study provides theoretical support for the development of LST products based on SDGSAT-1 satellite data.…”
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Algorithm for Constructing the Hazard Function of the Extended Cox Model and its Application to the Prostate Cancer Patient Database by I. I. Mikulik, G. M. Zharinov, A. Yu. Kneev

“…To solve the problem using the optimization method, a fitness function was constructed that evaluated the results of prognosis, the number of features, and the degree of overtraining of the model — the complexity and load of the compiled hazard function. An algorithm of pollinating ants has been developed to optimize the fitness function. …”
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Data-Driven Optimization Method for Recurrent Neural Network Algorithm: Greenhouse Internal Temperature Prediction Model by Kwang Cheol Oh, Sunyong Park, Seok Jun Kim, La Hoon Cho, Chung Geon Lee, Dae Hyun Kim

“…Machine learning models were developed by finding certain rules based on the data obtained from the target system and have the advantage of learning various characteristics that are difficult to define theoretically. …”
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On virtual-force algorithms for coverage-optimal node deployment in mobile sensor networks via the two-dimensional Yukawa crystal by Rongxin Tang, Xin Qian, Xiangyu Yu

“…In this work, a novel virtual-force algorithm based on physical laws in a dusty plasma system (i.e. …”
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Predicting indoor temperature of solar green house by machine learning algorithms: A comparative analysis and a practical approach by Wenhe Liu, Tao Han, Cong Wang, Feng Zhang, Zhanyang Xu

“…This study focuses on a solar greenhouse located at the experimental base of Shenyang Agricultural University in Shenyang, Liaoning Province, to develop multi-step temperature prediction models based on machine learning algorithms. …”
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A Hybrid Genetic Algorithm and Proximal Policy Optimization System for Efficient Multi-Agent Task Allocation by Zimo Zhu, Chuanqiang Yu, Junti Wang

“…GAPPO enables agents to develop energy-efficient task allocation strategies by perceiving environmental states and optimizing their actions through iterative policy updates. …”
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Lightweight Image Encryption Algorithm Using 4D-NDS: Compound Dynamic Diffusion and Single-Round Efficiency by Yunlong Liao, Yiting Lin, Qiutong Li, Zheng Xing, Xiaochen Yuan

“…Experimental and theoretical verification demonstrate that the algorithm exhibits high sensitivity and effective robustness, capable of resisting common attacks and providing a reliable security solution for communication and the IoT.…”
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Using Multidimensional Data to Analyze Freeway Real-Time Traffic Crash Precursors Based on XGBoost-SHAP Algorithm by Jie Li, Yang Yang, Yanran Hu, Xinyuan Zhu, Naixuan Ma, Xiaojing Yuan

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Charging pile fault prediction method combining whale optimization algorithm and long short-term memory network by Yansheng Huang, Atthapol Ngaopitakkul, Suntiti Yoomak

“…This not only provides a strong theoretical foundation for the application of deep learning in charging pile fault prediction, but is also of great significance in terms of reducing operation and maintenance costs, supporting energy structure transformation, and promoting green development.…”
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Life against algorithmic management: a study on burnout and its influencing factors among food delivery riders by Jian Dong, Guoyong Zhang, Lizhi Wu

“…BackgroundWith the rapid development of global digital economy, burnout among food delivery riders has become an important public health issue. …”
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Application of Machine Learning for Adaptive Trajectory Control of UAVs Under Uncertainty by Alexander S. Ermilov, Olga A. Saltykova

“…Examples of real-world ML algorithm implementations include successful developments by Russian and foreign companies, demonstrating high levels of autonomy and adaptive control. …”
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Controllability-Oriented Placement of Actuators for Active Noise-Vibration Control of Rectangular Plates Using a Memetic Algorithm by Stanisław WRONA, Marek PAWEŁCZYK

“…Optimization criterion based on maximization of controllability of the system is developed. The memetic algorithm is used to find the optimal solution. …”
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New algorithm to solve nonlinear functional equations applying linearization then double discretization scheme (L.D.D) by Ilyes Sedka, Ammar Khellaf, Mohamed Zine Aissaoui

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A Proposed Algorithm to Assess Concussion Potential in Rear-End Motor Vehicle Collisions: A Meta-Analysis by Manon Limousis-Gayda, Rami Hashish

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Algorithm for Correcting the Keratometric Error in the Estimation of the Corneal Power in Keratoconus Eyes after Accelerated Corneal Collagen Crosslinking by David P. Piñero, Vicente J. Camps, Esteban Caravaca-Arens, Dolores de Fez, Francisco J. Blanes-Mompó

“…The validity of the algorithm developed was investigated in 21 keratoconus eyes undergoing accelerated CXL. …”
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Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance by Ganesh Selvaraj, Kanimozhi Rajangam, Pradeep Vishnuram, Mohit Bajaj, Ievgen Zaitsev

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