Distributed Fusion Filtering in Networked Systems with Random Measurement Matrices and Correlated Noises by Raquel Caballero-Águila, Irene García-Garrido, Josefa Linares-Pérez

“…The distributed fusion state estimation problem is addressed for sensor network systems with random state transition matrix and random measurement matrices, which provide a unified framework to consider some network-induced random phenomena. …”
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Enhanced Inverse Model Predictive Control for EV Chargers: Solution for DC–DC Side by Abdullah Berkay Bayindir, Ali Sharida, Sertac Bayhan, Haitham Abu-Rub

“…To address this challenge, the proposed method employs an adaptive estimation strategy utilizing a recursive least square algorithm for online dynamic model estimation. …”
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Burned area detection based on time-series analysis in a cloud computing environment by J.A. Anaya, W.F. Sione, A.M. Rodriguez-Montellano

“…There are large omission errors in the estimation of burned area in map products that are generated at a global scale. …”
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Sim-to-Real Reinforcement Learning for a Rotary Double-Inverted Pendulum Based on a Mathematical Model by Doyoon Ju, Jongbeom Lee, Young Sam Lee

“…This paper proposes a transition control strategy for a rotary double-inverted pendulum (RDIP) system using a sim-to-real reinforcement learning (RL) controller, built upon mathematical modeling and parameter estimation. …”
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Optimizing China's carbon quota allocation for peak emissions: A novel AMLC framework tailored to regional dynamics. by Lanlan Lian, Xiaojun Ma, Yimeng Wang, Qingli Dong

“…Employing a PSO-LSSVM model for carbon emission estimation and a hierarchical clustering algorithm, this study categorizes 30 Chinese provinces into six distinct types, facilitating a regionally adaptive allocation strategy. …”
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New Approaches for Prediction of Flow Regime Boundaries and Overall Gas Holdups in a Bubble Column Operated with Aqueous Solutions of 2-Pentanol by Stoyan Nedeltchev, Sara Marchini, Markus Schubert, Uwe Hampel

“….%) was examined. A new algorithm for estimation of the information amount (IA) from a gauge pressure (GP) signal is proposed. …”
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A deep neural network approach for optimizing charging behavior for electric vehicle ride-hailing fleet by Kaizhe Chen, Jin Liu, Wenjing Lyu, Tianyuan Wang, Jinxi Wen

“…Therefore, this research develops a Neural Network (NN) trained with the Adaptive Moment Estimation (Adam) algorithm, based on 2.14 million charging events. …”
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Online Tool Wear Monitoring via Long Short-Term Memory (LSTM) Improved Particle Filtering and Gaussian Process Regression by Hui Xu, Hui Xie, Guangxian Li

“…To address these challenges, this paper presents an innovative tool wear prediction method that integrates a nonlinear mean function and a multi-kernel function-optimized GPR model combined with an LSTM-enhanced particle filter algorithm. The approach incorporates the LSTM network into the state transition model, utilizing its strong time-series feature extraction capabilities to dynamically adjust particle weight distributions, significantly enhancing the accuracy of state estimation. …”
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Travel Time Variability and Spatio-Temporal Analysis of Urban Streets Using Global Positioning System: A Review by Zainab Ahmed Alkaissi, Ruba Yousif Hussain

“…It concluded that delay at signalized intersections in terms of stopping delay was the major parameter affecting the total travel time and total delay time of major urban streets. Travel time estimation algorithms based on speed data loop detectors induced insignificant differences when the study route was a relatively short and slow transition from free state to congestion state. …”
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Extraction of exact symbolic stationary probability formulas for Markov chains in finite space with application to production lines. part II: unveiling accurate formulas for very s... by Konstantinos S. Boulas, Georgios D. Dounias, Chrissoleon T. Papadopoulos

“…That is because even small systems are characterized by the well-known state explosion problem.MethodsIn short serial production lines, the underlying Markov chain is depicted as a graph of the transition diagram, which is constructed by implementing an algorithm. …”
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Application of Solutions of Uncorrected Tasksʼ Theory for Managing of Production Processesʼ Robustness by P. S. Serenkov, V. M. Romanchak, I. E. Pesliak

“…Adamar.We have developed a two-step algorithm for ensuring the robustness of production processes at the stage of their development. …”
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E²VRP-CPP: An Energy-Efficient Approach for Multi-UAV Multi-Region Coverage Path Planning Optimization in the Enhanced Vehicle Routing Problem by Yuechao Zang, Xueqin Huang, Min Lu, Qianzhen Zhang, Xianqiang Zhu

“…In addition, a heuristic algorithm is developed to balance the distribution of tasks among UAVs, considering both the scanning and transit times. …”
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DETECTION OF FAULT LOCATION ON THE POWER LINES 6–35 kV WITH UNILATERAL FEED by F. A. Romaniuk, M. A. Shevaldin

“…Estimated parameters of the algorithm of detecting the fault location based on identified influencing factors were established by method of computational experiment. …”
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Network Structure-Aware Ant-Based Routing in Large-Scale Wireless Sensor Networks by Kyungdoh Kim, Chunghun Ha, Changsoo Ok

“…Second, the framework of the Ant System is proper to solve dynamic problems such as routing problem. Transition probability in Ant System can be used to estimate how good a given routing path is. …”
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Efficient optimal power flow learning: A deep reinforcement learning with physics-driven critic model by Ahmed Sayed, Khaled Al Jaafari, Xian Zhang, Hatem Zeineldin, Ahmed Al-Durra, Guibin Wang, Ehab Elsaadany

“…However, most existing DRL approaches rely on approximated data-driven critic networks, requiring numerous risky interactions to explore the environment and often facing estimation errors. To address these limitations, this paper proposes an efficient DRL algorithm with a physics-driven critic model, namely a differentiable holomorphic embedding load flow model (D-HELM). …”
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Aircraft maintenance system simulation mathematical model construction by Yu. I. Samulenkov, Ya. A. Filatova, A. D. Gruzd

“…A distinctive feature of the presented algorithm is determination of the predominant estimated dependences of transition probabilities and intensities taking into account the requirements of the modern regulatory framework in terms of reliability of equipment and diagnosing the technical condition. …”
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Analytical approach for modelling of thread crimp in jacquard woven two-dimensional fabrics by Brigita Kolcavová Sirková, Iva Mertová

“…The parameter responds both to changes in areas in the input image and to changes in the interlacing in the weave. An algorithm has been built in the ProTkaTex software that records the transition of both warp and weft threads in the pattern’s weave. …”
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THE CORRESPONDENTS DISTRIBUTION METHOD BETWEEN NODES IN THE RADIO COMMUNICATION SYSTEM by Viktor V. Korinenko

“…Method for solving multi criteria task based on the approach of transition to one estimate with the help of method ELECTRE (ELECTRE – EliminationEtChoixTraduisantlaRealite – exclusion and selection reflect to reality) and using algorithm of correspondent distribution of obtained criteria maximization with consideration of restrictions, subsets probable for communication centers and category of correspondents’ priority. …”
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On the Accuracy of RAS Method in an Emergent Economy by Emilian Dobrescu, Viorel Gaftea

“…Testing the RAS algorithm on such a volatile framework is a notable search challenge. …”
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Measurement-Based LoS/NLoS Channel Modeling for Hot-Spot Urban Scenarios in UMTS Networks by Jiajing Chen, Xuefeng Yin, Li Tian, Nan Zhang, Yongyu He, Xiang Cheng, Weiming Duan, Silvia Ruiz Boqué

“…A space-alternating generalized expectation-maximization (SAGE) algorithm is applied to estimate the delays and the complex attenuations of multipath components from the obtained channel impulse responses. …”
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