An optimization similarity fuzzy inference method for traffic signal control at an isolated intersection by Mahin Esmaeili, Ali Anjomshoae, Nasser Shahsavari-Pour, Punyaanek Srisurin, Ruth Banomyong

“…Future research will focus on expanding OSFI to control networks of intersections and testing its real-world performance to address current challenges related to scalability and efficiency.…”
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Optimizing predictive maintenance and mission assignment to enhance fleet readiness under uncertainty by Ryan O’Neil, Abdelhakim Khatab, Claver Diallo

“…The optimization model is reformulated using two well-known techniques: Sample Average Approximation (SAA) and Conditional Value-at-Risk (CVaR) approximation. …”
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Rainfall- Runoff Modelling using HEC-HMS and ANN for Shiavde, Upper Krishna Basin, India by Aparna Deulkar, Rakeshkumar Jain, Shreenivas Londhe, Pradnya Dixit

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Network Topology-Driven Vertiport Placement Strategy: Integrating Urban Air Mobility with the Seoul Metropolitan Railway System by Ki-Han Song, HaJeong Lee

“…We then compare and analyze global network efficiency, algebraic connectivity, average shortest path length, local clustering coefficient, transitivity, degree assortativity and modularity. …”
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Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based... by Zenhom M. Zenhom, Shady H. E. Abdel Aleem, Essam Aboul Zahab, Ziad M. Ali, Abdulaziz Almalaq, Tarek A. Boghdady

“…The results show that applying DR alone can increase the average maximum HC value by 29.4%, while combining DR with optimal Volt/VAR control can achieve a 39.6% increase.…”
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Cooperative Downloading in Mobile Ad Hoc Networks: A Cost-Energy Perspective by He Li, Yang Yang, Xuesong Qiu, Zhipeng Gao, Guizhen Ma

“…This paper proposes a cost distribution (OCD) algorithm and a content distribution algorithm based on auction (OCDA) for mobile ad hoc networks based on relative location of nodes and local optimization theory. …”
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Smoothing Strategies Combined with ARIMA and Neural Networks to Improve the Forecasting of Traffic Accidents by Lida Barba, Nibaldo Rodríguez, Cecilia Montt

“…Two smoothing strategies combined with autoregressive integrated moving average (ARIMA) and autoregressive neural networks (ANNs) models to improve the forecasting of time series are presented. …”
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Application of the RFA-XGBoost model in predicting potential complaint users in mobile network by ZHANG Peng, GAO Yuan

“…By collecting a wide range of business domain and operation domain indicators of mobile network users as input feature data, a potential complaint user prediction model based on extreme gradient boosting (XGBoost) was successfully constructed, which had an average prediction accuracy of 96.35% on the test set. …”
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Design of Network Security Anomaly Detection Model Based on SLNA Cell Structure by Guiling Fan, Shaojun Chen

“…The experimental results revealed that the stable layer normalized attention unit structure could effectively prevent the occurrence of floating point overflow phenomenon in the process of data processing, and only about 620 rounds to achieve convergence, distillation structure of the student neural network fitting degree reaches more than 98%. In addition, this structure can effectively reduce the memory occupation, shorten the inference time, and the optimization rate is as high as 75%. …”
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Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

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Indoor Positioning System based on SSA-ELM Neural Network for Visible Light by JIA Kejun, NIU Zhen, YU Kai, ZHANG Zhicong, PENG Duo, CAO Minghua

“…【Objective】The Extreme Learning Machine (ELM) neural network algorithm in the traditional indoor Visible Light Positioning (VLP) system suffers from unstable convergence and a tendency to get stuck in local optimal states, resulting in decreased positioning accuracy. …”
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Modeling and Performance Analysis of Task Offloading of Heterogeneous Mobile Edge Computing Networks by Wenwang Li, Haohao Zhou

“…By analyzing the impact of bias factors and network parameters associated with MEC servers on network performance, we provide insights for MEC design, deployment and optimization.…”
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Research on TOC Log Evaluation Method Based on PCA-BP Neural Network by SHANG Yazhou, XU Duonian, ZHANG Zhaohui, LIU Jianyu, ZHAO Wenwen

“…The method is based on the weighted average of sensitive logging curves and TOC test results as the original data set. …”
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RCSAN residual enhanced channel spatial attention network for stock price forecasting by WenJie Sun, Ziyang Liu, ChunHong Yuan, Xiang Zhou, YuTing Pei, Cui Wei

“…In practical applications, R-CSAN’s outputs can be integrated into quantitative trading strategies including breakout trading, moving average crossover signals, and portfolio allocation optimization, providing a new paradigm for robust prediction in highly volatile markets.…”
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Optimal, fast, and robust inference of reionization-era cosmology with the 21cmPIE-INN by Benedikt Schosser, Caroline Heneka, Tilman Plehn

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A novel routing method for dynamic control in distributed computing power networks by Lujie Guo, Fengxian Guo, Mugen Peng

“…Tasked with both packet transmission and data processing, it requires joint optimization of communications and computing. Considering the diverse requirements of applications, we develop a dynamic control policy of routing to determine both paths and computing nodes in a distributed computing power network. …”
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Highway Traffic Flow Prediction Algorithm Based on Multiscale Transformation and Convolutional Networks by Yuzhu Luo, Jiarong Wang, Ming Wei

“…From the standard feedforward wavelet neural network algorithm using global optimization capabilities, we improve the wolf pack algorithm, improve the search accuracy of the algorithm, get the best solution of the estimated value of the work according to the search results when completing the research objectives, and get the ability to predict the work of the model. …”
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Music genre classification with parallel convolutional neural networks and capuchin search algorithm by Yuxin Zhang, Teng Li

“…This study presents a unique method that blends convolutional neural network (CNN) models as an ensemble system to detect musical genres. …”
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A multi-objective optimization approach for the virtual coupling train set driving strategy by Junting Lin, Maolin Li, Xiaohui Qiu

“…They also reveal that the intrinsic curiosity module prioritized experience replay dueling double deep Q-network (ICM-PER-D3QN) algorithm outperforms the deep Q-network (DQN) algorithm in optimizing the driving strategy of the leader train. …”
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Bayesian Optimized GridDehazeNet for Adaptive Haze Removal in Real-World Applications by Sungkwan Youm

“…We propose an adaptive haze removal system that integrates Bayesian Optimization with GridDehazeNet to automatically find the optimal network width and height for specific environments. …”
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