Substantiation of the methodology for adaptive formation of the mining work schedule taking into account the variable quality of ore raw materials and market dynamics by Y.I. Hryhoriev

“…The practical significance of the research results lies in the possibility of using the proposed methodology to optimize the mining operations of mining enterprises in a stochastic economic environment.…”
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Bayesian adaptation in Poisson cognitive systems by Aleksander A. Solodov

“…The aim of the study is to investigate the possibility of applying Bayesian adaptation algorithms to cognitive systems that perceive the Poisson process of external events.The method of research is the use of stochastic description and synthesis of cognitive systems, including the theory of doubly stochastic Poisson processes and the theory of Bayesian adaptation. …”
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Optimal Poisson Cognitive System with Markov Learning Model by A. A. Solodov

“…The aim of the study is to develop a mathematical model of the trained Markov cognitive system in the presence of discrete training and interfering random stimuli arising at random times at its input. The research method consists in the application of the simplest Markov learning model of Estes with a stochastic matrix with two states, in which the transition probabilities are calculated in accordance with the optimal Neуman-Pearson algorithm for detecting stimuli affecting the system. …”
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Notice of Violation of IEEE Publication Principles: Free Parking Space Prediction and Reliability Analysis Based on Big Data Analysis by Chao Zhang, Xianwei Wang, Zhongjing Ma

“…The research results shed new light on the development of parking guidance systems.…”
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Development of a diagnostic system for the presence of rotor eccentricity in traction induction motors by Victor Yurchenko, Olena Nezlina, Valentyna Tkachenko

“…This will make it possible to apply the proposed algorithm in conditions where the process of changing the analyzed signals is stochastic in nature. …”
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Self-Organized Cognitive Sensor Networks: Distributed Channel Assignment for Pervasive Sensing by Li-Chuan Tseng, Feng-Tsun Chien, Abdelwaheb Marzouki, Ronald Y. Chang, Wei-Ho Chung, ChingYao Huang

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Adaptive robust position control scheme for an electromagnetic levitation system with experimental verification. by Ziwei Wu, Kuangang Fan, Ping Yi

“…The use of other traditional control algorithms frequently results in a decline in the system's anti-disturbance and tracking performance due to the highly nonlinear, stochastic uncertainty, and time delay characteristics of electromagnetic levitation systems. …”
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Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics by Xiaojuan LU, Jianjun WANG, Shuai WU, Shiyu ZHENG, Qian LIU

“…Additionally, we present a two-stage Improved Non-Dominated Sorting Genetic Algorithm II (INSGA-II) that integrates stochastic simulation and a K-means clustering algorithm to effectively solve the problem. …”
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Concrete crack detection using ridgelet neural network optimized by advanced human evolutionary optimization by Yongqing Lin, Mehdi Ahmadi, Khalid A. Alnowibet, Fawzy A. Bukhari

“…However, they are disposed to develop cracks, which can compromise their overall quality. This research presents an innovative crack diagnosis algorithm for concrete structures that utilizes an optimized Deep Neural Network (DNN) called the Ridgelet Neural Network (RNN). …”
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Hybrid energy system optimization integrated with battery storage in radial distribution networks considering reliability and a robust framework by Mohammad Javad Aliabadi, Masoud Radmehr

“…Abstract This research presents a robust optimization of a hybrid photovoltaic-wind-battery (PV/WT/Batt) system in distribution networks to reduce active losses and voltage deviation while also enhancing network customer reliability considering production and network load uncertainties. …”
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A Fault Sources-Based Probabilistic Seismic Hazard Analysis for Next-Generation Seismic Ground Motion Parameters Zonation Map of China by Jiatong Wei, Kun Chen, Mengtan Gao, Jian Zhou, Yongzhe Wang, Yingzhe Cai

“…Validation against test cases from the Pacific Earthquake Engineering Research Center (PEER) demonstrated the algorithm’s reliability. …”
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Unmanned Surface Vessel Cluster Path Planning Based on Deep Reinforcement Learning by Manjiang YU, Jiawei HE, Bowen XING

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The Optimal Dispatch for a Flexible Distribution Network Equipped with Mobile Energy Storage Systems and Soft Open Points by Yu Ji, Ying Zhang, Lei Chen, Juan Zuo, Wenbo Wang, Chongxin Xu

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Robust Optimization for Integrated Construction Scheduling and Multiscale Resource Allocation by Qian Li, Sha Tao, Heap-Yih Chong, Zhijie Sasha Dong

“…This research investigates an integrated problem of construction scheduling and resource allocation. …”
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Meteorological data implications modeling on evapotranspiration variability in arid and semi-arid zones in Saudi Arabia using hybrid metaheuristic by Oulad Naoui Noureddine, Sekkoum Mohamed, Cherif El Amine, Ali Alzaed, Meseret Abeje Gedfew, Sherif S. M. Ghoneim, Enas E. Hussein

“…Abstract This work is unique and contributes new knowledge to the field whereas it involves introducing a new method based on coupling two or three stochastic models, analyzing new data represented by drought and flooding risk relationship, and addressing a previously unexplored research question: Can we make a decision regarding future evapotranspiration-flooding risk relationship? …”
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Automated Machine Learning for Optimized Load Forecasting and Economic Impact in the Greek Wholesale Energy Market by Nikolaos Koutantos, Maria Fotopoulou, Dimitrios Rakopoulos

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SOLVING ENGINEERING OPTIMIZATION PROBLEMS WITH THE SWARM INTELLIGENCE METHODS by A. V. Panteleev, M. D. Evdokimova

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A hybrid VMD-LSTM-SVR model for landslide prediction by Nianhong Wang, Meijun Wang, Jun Zhang

“…Initially, the VMD algorithm decomposes the landslide displacement time series into trend, periodic, and stochastic components. …”
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Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability by Jayant M. Raut, Prashant B. Pande, Kamlesh V. Madurwar, Rajesh M. Bhagat, Satyajit S. Uparkar, Nilesh Shelke, Haytham F. Isleem, Arpita, Vikrant S. Vairagade

“…This methodology makes estimates of not only the mean impact but also allows quantification of the uncertainties through confidence intervals and dynamic LCA. Stochastic Forest algorithm will enhance the traditional MCDA by weighting decision criteria like cost, environmental impact, and durability, in a more dynamic manner aligning to real-time manufacturing performance for better decision-making. …”
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Adaptive Neural Network Control Scheme of Switched Systems with Input Saturation by Xiaoli Jiang, Mingyue Liu, Siqi Liu, Jing Xu, Lina Liu

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