Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology by Qiong Wang, Zuohu Chen, Yongbo Zhou, Zhiyuan Liu, Zhenguo Peng

“…In response to the problems of insufficient model accuracy and poor real-time performance in real-time monitoring and optimization of data models in traditional power systems, this paper explored them based on machine learning. …”
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Oil well productivity capacity prediction based on support vector machine optimized by improved whale algorithm by Kuiqian Ma, Chunxin Wu, Yige Huang, Pengfei Mu, Peng Shi

“…The model based on SVM optimized by the improved whale algorithm have an average error of 9.3%, while the model based on SVM optimized by grid search and whale algorithm have bigger errors, which are 21.7% and 15.7% respectively. …”
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Hybrid lion and exponential PSO-based metaheuristic clustering approach for efficient dynamic data stream management by M. Ananthi, K. Valarmathi, A. Ramathilagam, R. Praveen

“…It adopted different methods of stochastic optimization and deterministic clustering techniques for centring the clusters in an optimal manner. …”
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Exploring efficiency and spatial equity trade-offs in docked bike-sharing by Yusfita Chrisnawati, Yusak O. Susilo

“…Applied in Vienna, Austria, the methodology simulates 1,492 individual demand points, optimizes 1,172 candidate locations, and tests 17 scenarios. …”
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Optimization of Heterogeneous Last-Mile Delivery of Fresh Products Considering Traffic Congestions and Other Real-World Parameters by Nikica Peric, Slaven Begovic, Vinko Lesic

“…In comparison with the current state-of-the-art algorithms for vehicle routing problem with a large number of constraints, we obtain an average savings of 2.03% in delivery time and 20.98% in total delivery costs.…”
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An Optimized Capacitor Voltage Balancing Control Strategy of Modular Multilevel Converter Based on Comparison of Variable Reference Values by Fengyang GAO, Guodong QIANG, Yunbo GAO, Guoheng ZHANG

“…Meanwhile, the permissible deviation threshold of capacitor voltage and the regulatory factor are selected by the optimization function of the capacitor voltage to achieve optimal control of the device's average switching frequency and capacitor voltage consistency. …”
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Optimizing Cold Chain Logistics with Artificial Intelligence of Things (AIoT): A Model for Reducing Operational and Transportation Costs by Hamed Nozari, Maryam Rahmaty, Parvaneh Zeraati Foukolaei, Hossien Movahed, Mahmonir Bayanati

“…This paper discusses the modeling and solution of a cold chain logistics (CCL) problem using artificial intelligence of things (AIoT). …”
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Federated learning-based user access strategy and energy consumption optimization in cell-free massive MIMO network by Yuanyuan YAO, Yiqiu LIU, Sai HUANG, Chunyu PAN, Xuehua LI, Xin YUAN

“…To solve the problem that how users choose access points in cell-free massive multiple-input multiple-output (CF-mMIMO) network, a prioritized access strategy for poorer users based on channel coefficient ranking was proposed.First, users were evaluated and ranked for their channel quality and stability after channel sensing, and suitable access points were selected in sequence according to the order of the channel state information.Second, considering issues such as users' energy consumption and data security, a federal learning framework was used to enhance user's data privacy and security.Meanwhile, an alternating optimization variables algorithm based on energy consumption optimization was proposed to optimize the multi-dimensional variables, for the purpose of minimizing the total energy consumption of the system.Simulation results show that compared with the traditional user-centric in massive MIMO, the proposed access strategy can improve the average uplink reachable rate of users by 20%, and the uplink rate of users with poor channels can be double improved; in terms of energy consumption optimization, the total energy consumption can be reduced by much more than 50% after optimization.…”
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A genetic algorithm approach to green vehicle routing: Optimizing vehicle allocation and route planning for perishable products by Hayati Mukti Asih, Raden Achmad Chairdino Leuveano, Dhimas Arief Dharmawan, Ardiansyah Ardiansyah

“…This paper introduces a novel approach to the Green Vehicle Routing Problem (GVRP) by integrating multiple trips, heterogeneous vehicles, and time windows, specifically applied to the distribution of bakery products. …”
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Optimization of Temperature Measurement Method for High-Pressure Gas Flow Standard Facility Based on Sonic Nozzle Array by Zhihao Zhang, Jiaxi Zhao, Tingting Liu, Rongping Zhang

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Influence Maximization in Social Networks Using Discrete Manta-Ray Foraging Optimization Algorithm and Combination of Centrality Criteria by Zaynab Azizpour, Saeid Taghavi Afshord, Bagher Zarei, Mohammad Ali Jabraeil Jamali, Shahin Akbarpour

“…Influence Maximization (IM) is a fundamental problem in social network analysis that seeks to identify a small set of highly influential nodes that can maximize the spread of information. …”
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Predicting age at first calving of dairy breed calves using whale optimization-based ensemble learning framework by Tewodros Shekure, Hussien Seid Worku, Sudhir Kumar Mohapatra, Tapan Kumar Das

“…Second, a model was developed by tuning hyperparameters of SVR including kernel function, regularization (C-parameter) and gamma parameters, and it resulted in an accuracy of 96.46%. Next, Whale optimization technique is used to select the optimized features of the dataset. …”
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An integrated stacked convolutional neural network and the levy flight-based grasshopper optimization algorithm for predicting heart disease by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Majad Mansoor, Filippo Sanfilippo

“…By combining deep learning with an advanced optimization technique, this research introduces a scalable and effective solution to a critical healthcare problem.…”
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Optimal design of the stand-alone developed hybrid system for producing pure water and drying the plants for remote regions by Alsaid khalil, Ahmed M. Khaira, Rawan H. Abu-Shanab, Mohamed Abdelgaied

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Optimal feature selection for a weighted k-nearest neighbors for compound fault classification in wind turbine gearbox by Samuel M. Gbashi, Paul A. Adedeji, Obafemi O. Olatunji, Nkosinathi Madushele

“…The Manhattan distance metric outperformed all other metrics in classifying the various gearbox health states. The optimal k-value was determined to be 20. Overall, the optimal k-NN model achieved an average classification accuracy of 95.95 % across all performance metrics, with accuracy at 95.97 %, recall at 95.97 %, precision at 95.93 %, and F1 score at 95.93 %. …”
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Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

“…We formulate a multi-objective optimization problem that minimizes total operational costs while reducing the Average Task Loss Probability (ATLP), a key Quality of Service (QoS) metric. …”
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Rapid screening and optimization of CO2 enhanced oil recovery operations in unconventional reservoirs: A case study by Shuqin Wen, Bing Wei, Junyu You, Yujiao He, Qihang Ye, Jun Lu

“…Based on the results of model interpretability, the genetic algorithm (GA) was coupled with RF (RF-GA model) to optimize the CO2-EOR process. The proposed framework was validated by comparing the GA-RF predictions with simulation results under different reservoir conditions, which yielded a minimum relative error of 0.34% and an average relative error of 5.3%. …”
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Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions by Eva Dorschky, Marlies Nitschke, Matthias Mayer, Ive Weygers, Heiko Gassner, Heiko Gassner, Thomas Seel, Bjoern M. Eskofier, Bjoern M. Eskofier, Anne D. Koelewijn, Anne D. Koelewijn

“…We estimated the variables by solving optimal control problems with sagittal plane lower-body musculoskeletal models, in which we minimized an objective that combined tracking of accelerometer and gyroscope data with minimizing muscular effort. …”
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Novel Gain-Optimized Two-Step Fusion Filtering Method for Ranging-Based Localization Using Predicted Residuals by Bo Chang, Xinrong Zhang, Na Sun, Hao Ni

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Classifying with uncertain data envelopment analysis by Casey Garner, Allen Holder

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