Enhancing Machine Learning Models Through PCA, SMOTE-ENN, and Stochastic Weighted Averaging by Youngjin Han, Inwhee Joe

“…Stochastic Weighted Averaging (SWA) was applied to mitigate overfitting and enhance generalization. …”
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Control of the servo motor using feedback linearization and artificial gorilla troops optimizer by Radiša Jovanović, Mitra Vesović

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Network- and Demand-Driven Initialization Strategy for Enhanced Heuristic in Uncapacitated Facility Location Problem by Jayson Lin, Shuo Yang, Kai Huang, Kun Wang, Sunghoon Jang

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Streamlining ICI Transformed as a Nonnegative System by David Hyland

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Research on Vehicle Route Optimization for Half-Open Multi-Energy Urban Distribution Considering Order Priority by Mingxuan Zhang

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A Stochastic Approach to Energy Cost Minimization in Smart-Grid-Enabled Data Center Network by Abolfazl Ghassemi, Pejman Goudarzi, Mohammad R. Mirsarraf, T. Aaron Gulliver

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Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approach by Zhi Wu, Ao Li, Qirun Sun, Shu Zheng, Jingtao Zhao, Pengxiang Liu, Wei Gu

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Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process by Jinlong Yuan, Jun Xie, Honglei Xu, Enmin Feng, Zhilong Xiu

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A comprehensive approach to predict a rocket's impact with stochastic estimators and artificial neural networks by Jose Abreu, Roberto L. Oliveira, Joao V. Fonseca Neto

“…This approach combines tracking algorithms that are based on stochastic estimators with artificial neural network (ANN) models. …”
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WEIGHTED ADDITIVE MODEL AND CHANCE CONSTRAINED TECHNIQUE FOR SOLVING NONSYMMETRICAL STOCHASTIC FUZZY MULTIOBJECTIVE LINEAR PROGRAM by Grandianus Seda Mada, Nugraha K.F. Dethan, Fried Markus Allung Blegur, Adriano Dos Santos

“…This research is focused on examining Multi-Objective Fuzzy Stochastic Linear Programming (MOFSLP) with each of the objective functions has a different level of importance to decision makers, or better known as the nonsymmetrical model. …”
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Optimizing Distribution Grid Performance through Electric Vehicle Integration and Stochastic Modeling in Extreme Weather Conditions by A. Niknami, M. Askari, M. Amirahmadi, M. Babaeinik

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Algorithm reality – intentionality and instrumentality by  V. Е. Kukel

“…Using examples such as stochastic algorithms (Monte Carlo method, genetic algorithms), emergent properties of neural networks, and the «black box» phenomenon, the article demonstrates the dialectic between planned functionality and spontaneous manifestations of contingency. …”
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FastGEMF: Scalable High-Speed Simulation of Stochastic Spreading Processes Over Complex Multilayer Networks by Mohammad Hossein Samaei, Faryad Darabi Sahneh, Caterina Scoglio

“…It introduces an event-driven algorithm with cautious update strategies, supporting diverse multi-compartment spreading processes. …”
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Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning by Yanzi Li, Cai Chen, Fuqiang Liu, Jian Wang

“…It uses the SBM direction distance function and the Luenberger productivity index to measure the agricultural efficiency, total factor productivity, and their components. The research study considers the data from 31 provinces from 2006 to 2018 years. …”
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A novel multi-step methodology for stochastic simulation of streamflow time series using PcStream clustering by Shalini Balaram, Roshan Srivastav, K Srinivasan

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A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging by Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu

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Distributionally robust multi-stage stochastic programming for mid- and long-term cross-regional power markets by Yuhan Huang, Tao Ding, Xiaosheng Zhang, Shuhai Feng, Yiding Jin, Yangsheng Sun, Tong Xing

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SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent by Rabbiya Younas, Hafiz Muhammad Raza Ur Rehman, Ingyu Lee, Byung-Won On, Sungwon Yi, Gyu Sang Choi

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Polymeric Memristors as Entropy Sources for Probabilistic Bit Generation by Stephen H. Foulger, Yuriy Bandera, Igor Luzinov, Travis Wanless

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Wind power generation prediction using LSTM model optimized by sparrow search algorithm and firefly algorithm by Wenjing Zhang, Hongjing Yan, Lili Xiang, Linling Shao

“…To raise the accuracy of wind power generation prediction, a bidirectional long short-term memory network combination model based on sparrow search algorithm and firefly algorithm optimization is designed. …”
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