Introducing electric spring in the voltage frequency regulation of a multi area multi source integrated power system network by Debdeep Saha, Soham Dutta

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CAMP: Counterexamples, Abstraction, MDPs, and Policy Refinement for Enhancing Safety, Stability, and Rewards in Reinforcement Learning by Ryeonggu Kwon, Gihwon Kwon

“…Furthermore, the approach is designed to optimize RL’s primary objective: reward maximization. …”
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Modelling cross-diffusion in MHD Williamson nanofluid flow over a nonlinear stretching surface via Morlet wavelet neural networks by Khalid Arif, Syed Tauseef Saeed, Muhammad Naeem Aslam, Jihad Younis, Arshad Riaz, Salman Saleem

“…The proposed MWNNs-PSO-NNA shows a very low mean square error and Theil’s Inequality Coefficient indicating that the accuracy of the model. To check the convergence and validation of the proposed approach, computing the hundred independent runs for statistical metrics. …”
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Orthogonal Experimental Study on Layout Parameters of Ventilation Equipment in Tunnel Construction Based on TOPSIS Theory by Guofeng Wang, Fayi Deng, Kaifu Ren, Yongqiao Fang, Bo Wang, Heng Zhang

“…Aiming at the influence of the position of the air duct of the axial flow fan in the tunnel on the ventilation flow field, the improved TOPSIS theory is adopted for detailed data analysis, and the flow field characteristics are thoroughly checked to identify the optimal working condition configuration. …”
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A deep learning based intrusion detection system for CAN vehicle based on combination of triple attention mechanism and GGO algorithm by Hongwei Yang, Mehdi Effatparvar

“…The current work utilizes a novel Greylag Goose Optimization algorithm for optimal selection of the network hyperparameters. …”
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An Improved Soft Island Model of the Fish School Search Algorithm with Exponential Step Decay Using Cluster-Based Population Initialization by Liliya A. Demidova, Vladimir E. Zhuravlev

“…For the presented SIM-ETFSS algorithm, numerical experiments with the optimization of classical test functions, as well as checks for the presence of some known defects that lead to undesirable effects in problem solving, have been carried out. …”
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Bio-Inspired Metaheuristics in Deep Learning for Brain Tumor Segmentation: A Decade of Advances and Future Directions by Shoffan Saifullah, Rafał Dreżewski, Anton Yudhana, Wahyu Caesarendra, Nurul Huda

“…This review systematically examines developments from 2015 to 2025, focusing on the integration of nature-inspired optimization methods such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), and novel hybrids including CJHBA and BioSwarmNet into deep learning-based brain tumor segmentation frameworks. …”
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Development of the optimal composition of tablets with the active substance potassium 2-((4-amino-5-(morpholinomethyl)-4H-1,2,4-triazol-3-yl)thio)acetate. Message 1. Study of the e... by R. O. Shcherbyna, O. V. Khromylova, H. R. Nimenko, V. O. Salionov

“…The powder mixtures were checked for bulk density, bulk density after compaction, flowability and angle of natural slope. …”
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Scanning Electron Microcopy Analysis after Electrical Discharge Machining of Advanced Ni-Based Alloy by Anand Pandey, Ashish Goyal, Ranjan Walia, Varun Jurwall

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A novel lightweight hybrid cryptographic framework for secure smart card operations by Kranthi Kumar Singamaneni

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A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network by Jafar A. Alzubi, Kiran Sree Pokkuluri, Rajesh Arunachalam, Surendra Kumar Shukla, Sumanth Venugopal, Karthikayen Arunachalam

“…The outcomes of the designed masked face recognition model are evaluated with the existing models to check its capability.…”
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Model-Informed Precision Dosing of Remimazolam in General Anesthesia Patients by Chen Y, Zhang ZJ, Zhang XF, Peng Y, Jiao Z, Wu JX

“…A population PK/PD model was established, and goodness-of-fit and visual predictive check plots were utilized to evaluate the model’s accuracy. …”
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Formalising the formation of project teams considering alternative competence assessments under uncertainty by Igor Kononenko, Oksana Kononenko, Igbal Babayev Alican, Rasim Abdullayev Soltanaga

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AI-driven UAV with image processing algorithm for automatic visual inspection of aircraft external surface by Mohammed A. H. Ali, Muhammad Zamil A. Zulkifle, Nik Nazri Nik Ghazali, Retna Apsari, M. M. F. Meor Zulkifli, Mohammad Alkhedher

“…The proposed system will shorten the waiting time to accomplish the pre-flight checks in airports.…”
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An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system by Ivan V. Stepanyan, Safa A. Hameed

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A hybrid PKI and spiking neural network approach for enhancing security and energy efficiency in IoMT-based healthcare 5.0 by Dipalee D․Rane Chaudhari, Manisha S. Bhende, Aadam Quraishi, Azzah AlGhamdi, Ismail Keshta, Mukesh Soni, Brajesh Kumar Singh, Haewon Byeon, Mohammad Shabaz

“…The method combines data security robustness of the spiking neural networks to detect anomalies and check for access control purposes, with the PKI encryption to provide safe encryption and key management. …”
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Method for constructing an adaptive suboptimal stationary train traffic controller based on artificial neural networks by S. V. Malakhov, M. Yu. Kapustin

“…Mathematical models used to solve the op- timal problem can be used correctly only in the case of sufficient adequacy. Adequacy check is not part of the known methods of optimal control theory. …”
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Explicit collocation algorithm for the nonlinear fractional Duffing equation via third-kind Chebyshev polynomials by Y.H. Youssri, A.G. Atta, M.O. Moustafa, Z.Y. Abu Waar

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The Algorithm for Preparing a Set of Data for Teaching Neural Networks on the Example of the Task to Analyze the Radiological Images of Lungs by A. A. Kosareva

“…The methodology for preparing data for teaching neural networks is considered in solving two problems: checking the modality of computed tomography and checking the modality of radiographic images. …”
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RISK-ORIENTED TAX AUDIT by Elvira I. Bakhtigozina

“…Focus is made on the complex analysis of finance and business work of the person being audited and, consequently on rejection of total checking and passing-over to checking based on risk criteria. …”
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