Controlling update distance and enhancing fair trainable prototypes in federated learning under data and model heterogeneity by Kangning Yin, Zhen Ding, Xinhui Ji, Zhiguo Wang

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Reinforcement Learning-Based UAV Swarm Fission–Fusion Approach With Real-World Data-Integrated Validation by Xiaorong Zhang, Dacheng Qi, Wenrui Ding, Xinrui Zhang, Qingyi Liu, Yufeng Wang

“…The motion of unmanned aerial vehicle (UAV) swarms is a complex research area due to the involvement of various system components, including perception, control, and decision-making policies. …”
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Enhanced Fault Detection in Satellite Attitude Control Systems Using LSTM-Based Deep Learning and Redundant Reaction Wheels by Sajad Saraygord Afshari

“…Incorporated into our model is a torque allocation algorithm designed to circumvent specific velocities known to induce torque disturbances, a factor known to influence LSTM performance adversely. …”
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Multilevel Database Security for Android Using Fast Encryption Methods by Najla AI Dabagh, Mahmood S. Mahmood

“…The database is used by more than one authorized user some of this data is confidential and important that requires protection from un authorized users. In this research a proposed system to implement the MLS principle within three levels of security is presented. …”
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Power decoupling method for synchronous reference frame-based vector control by Zhen Gong, Xiaorong Xie, Chengxi Liu, Filipe Faria da Silva, Yonghao Gui

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Artificial dissipation model applied to Euler equations for analysis of supersonic flow around a geometric configurations ramp and diffusor type by Jussiê Soares da Rocha, Edisson Sávio de Góes Maciel, Carlos Brayner de Oliveira Lira, Pedro Augusto Silva de Sousa, Raimundo Nonato Correia Neto

“…Very High Temperature Gas Cooled Reactors - VHTGRs are studied by several research groups for the development of advanced reactors that can meet the world's growing energy demand. …”
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Pyo-septic complications of severe necrotizing forms of acute pancreatitis by N. N. Veligotsky, S. E. Arutyunov, M. V. Klymenko, K. A. Aleksanyan

“…Purpose of the study. Develop an algorithm for the diagnosis and treatment of purulent-septic complications of severe necrotizing forms of acute pancreatitis. …”
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A novel energy pattern factor-based optimized approach for assessing Weibull parameters for wind power applications by Ghulam Abbas, Arshad Ali, Mohamed Tahar Ben Othman, Muhammad Wasim Nawaz, Ateeq Ur Rehman, Habib Hamam

“…., Weibull distribution (WD), that fits well with the wind speed data must be known. In this research, we proposed a novel optimized energy pattern factor method (NOEPFM) based on the trust-region-dogleg algorithm and applied it to wind speed data of four cities of the Southern region of Punjab, Pakistan, to determine WD parameters, i.e., shape k and scale c parameters. …”
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Synergy and Effectiveness Evaluation of Carbon Policy and Government Subsidies: Variational Inequality Model Based on Supply Chain Network by Chao Wang, Hui Sun, Yuehu Wang

“…Numerical simulations were conducted with a modified projection algorithm, and the Borda method was applied to evaluate equilibrium outcomes, specifically production levels and emission reductions, under each policy combination, revealing synergies between policies. …”
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Numerical Solution of the Inverse Thermoacoustics Problem Using QFT and Gradient Method by Syrym E. Kasenov, Aigerim M. Tleulesova, Almas N. Temirbekov, Zholaman M. Bektemessov, Rysbike A. Asanova

“…In this research, we consider the inverse problem for the wave equation under an unknown initial condition. …”
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Studying Pupil-Size Changes as a Function of Task Demands and Emotional Content in a Clinical Interview Situation by Daniel Gugerell, Benedikt Gollan, Moritz Stolte, Ulrich Ansorge

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Local Entropy Optimization–Adaptive Demodulation Reassignment Transform for Advanced Analysis of Non-Stationary Mechanical Signals by Yuli Niu, Zhongchao Liang, Hengshan Wu, Jianxin Tan, Tianyang Wang, Fulei Chu

“…This research proposes a new method for time–frequency analysis, termed the Local Entropy Optimization–Adaptive Demodulation Reassignment Transform (LEOADRT), which is specifically designed to efficiently analyze complex, non-stationary mechanical vibration signals that exhibit multiple instantaneous frequencies or where the instantaneous frequency ridges are in close proximity to each other. …”
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Client-oriented approach for assessing the quality of website of freight forwarding company when servicing private clients by O. A. Yusupova

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Real-Time Deep Intelligence Analysis and Visualization of COVID-19 Using FCNN Mechanism by Cherukuri Triveni, K. Suvarna Vani, M. Likhitha

“…Database management with respect to virus deep analysis is a critical task to the researcher through conventional algorithms. The RNA, DNA, and biological data are helping to the bio-inspired algorithm but its implementation can be complex by software tools. …”
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Multimodal image fusion for ich detection and classification using parallel Dl models by Sri Sangepu Nagaraju, S. Prince Mary, V. Pavani Chandra, Nandam Gayatri

“…This paper introduces an innovative multimodal medical image fusion method using parallel Deep Learning (DL) models. The research uses a carefully chosen multimodal dataset, including CT and MRI, and a novel segmentation algorithm called DFA-UNet. …”
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The Utopian Internet, Computing, Communication, and Concrete Utopias: Reading William Morris, Peter Kropotkin, Ursula K. Le Guin, and P.M. in the Light of Digital Socialism by Christian Fuchs

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Machine Learning-Enhanced Attribute-Based Authentication for Secure IoT Access Control by Jibran Saleem, Umar Raza, Mohammad Hammoudeh, William Holderbaum

“…Traditional authentication systems struggle to balance security, privacy and computational efficiency, particularly in resource-constrained environments such as Industry 4.0. This research presents the SmartIoT Hybrid Machine Learning (ML) Model, a novel integration of Attribute-Based Authentication and a lightweight machine learning algorithm designed to enhance security while minimising computational overhead. …”
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Model of a Novel PCB Coil for High-Sensitivity Metal Detector by Han Zhang, Mingxing Song, Yuejiu Zhu, Xianze Xu, Fengqiu Xu

“…Metal detectors detect hidden metal objects through electromagnetic induction. Significant research has focused on improving the detector sensitivity by redesigning the structure of differential receiving coils. …”
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Persistence and Burn-in in Solar Coronal Magnetic Field Simulations by Eric J. Hall, Karen A. Meyer, Anthony R. Yeates

“…A critical computational question for automating research workflows in the context of data-driven solar coronal magnetic field simulations is quantifying a simulation's burn-in time, after which a solar quantity has evolved away from an arbitrary initial condition to a physically more realistic state. …”
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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

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