Grey Wolf Optimization Based Demand Side Management in Solar PV Integrated Smart Grid Environment by Ravindra Kumar Yadav, P. N. Hrisheekesha, Vikas Singh Bhadoria

“…Also, GWO optimization results are compared with existing research papers having identical data sets.…”
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Finance Policy of the Company Based on Adapted System of Assessment within the Frames of Strategic Management by M. A. Plakhotnikova, A. Yu. Anisimov, A. Yu. Kashirtseva, M. A. Suslova

“…The authors used the following methods in their research: statistical methods, comparative analysis of sources, synthesis of academic knowledge and some specific methods, i. e. finance analysis and algorithmization. …”
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A Novel Prediction Model for the Sales Cycle of Second-Hand Houses Based on the Hybrid Kernel Extreme Learning Machine Optimized Using the Improved Crested Porcupine Optimizer by Bo Yu, Deng Yan, Han Wu, Junwu Wang, Siyu Chen

“…Compared with the classical meta-heuristic optimization algorithm, the improved CPO proposed in this paper has the smallest calculation error and the fastest convergence speed. …”
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Advanced fault diagnosis in industrial robots through hierarchical hyper-laplacian priors and singular spectrum analysis by Riyadh Nazar Ali Algburi, Hakim S. Sultan Aljibori, Zaid Al-Huda, Yeong Hyeon Gu, Mugahed A. Al-antari

“…In addition, the HHLP algorithm can identify harmonic interference, periodical impulses, and noise, with maximal posterior probabilities compared to the other algorithms. …”
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A novel nonparametric adaptive kernel density estimation method for removing nonrandom noise from ICESat-2 photon-counting LiDAR data by Zijia Wang, Sheng Nie, Cheng Wang, Xiaohuan Xi, Xiaoxiao Zhu, Jieying Lao, Bisheng Yang

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Complex Approach to the Diagnosis of Children with Nasal and Nasopharyngeal Pathology. Key Results by Leyla S. Namazova-Baranova, Viktor A. Gankovsky, Irina V. Zelenkova, Svetlana G. Gubanova, Alexander V. Pashkov, George A. Karkashadze, Elena A. Vishneva, Elena V. Kaytukova, Kamilla E. Efendieva

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Data Mining Techniques for Wireless Sensor Networks: A Survey by Azhar Mahmood, Ke Shi, Shaheen Khatoon, Mi Xiao

“…Recently, data management and processing for wireless sensor networks (WSNs) has become a topic of active research in several fields of computer science, such as the distributed systems, the database systems, and the data mining. …”
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Reinforcement learning in electric vehicle energy management: a comprehensive open-access review of methods, challenges, and future innovations by Georginio Ananganó-Alvarado, Ignacio Umaña-Morel, Brian Keith-Norambuena

“…The study formulates four guiding research questions to analyze types of learning algorithms, evaluation criteria, system-level constraints, and practical implementation aspects. …”
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Blending physical and artificial intelligence models to improve satellite-derived bathymetry mapping by Daniel García-Díaz, Sandra Paola Viaña-Borja, Mar Roca, Gabriel Navarro, Isabel Caballero

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Cooperative control method for multi-agent ground fracturing truck group based on offline reinforcement learning by RuYi Wang, HuiShen Jiao, YingCheng Tian, Yi Zhao, SiQi Wang, Ke Zhang, Bo Huang, QinRui Sun, DanDan Zhu

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Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller by Monika Gupta, P. M. Tiwari, R. K. Viral, Ashish Shrivastava, Basem Abu Zneid, Iryna Hunko

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Enhancing Load frequency control in power systems using Puma Optimizer – Proportional Integral Derivative Method by Trung Kien Do, Thanh Long Duong

“…The simulation results show that the integral time absolute error (ITAE) value of the proposed PO method is smaller by 5.25%, 18.16%, 28.35%, and 59.92% compared to Particle Swarm Optimization (PSO), Crested Porcupine Optimization (CPO), Newton-Raphson-based optimization (NRBO), and Global Neighborhood Algorithm (GNA), respectively. …”
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Predicting the Risk of Loneliness in Children and Adolescents: A Machine Learning Study by Jie Zhang, Xinyi Feng, Wenhe Wang, Shudan Liu, Qin Zhang, Di Wu, Qin Liu

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Empirical Analysis of Honeybees Acoustics as Biosensors Signals for Swarm Prediction in Beehives by Kainat Iqbal, Bayan Alabdullah, Naif Al Mudawi, Asaad Algarni, Ahmad Jalal, Jeongmin Park

“…We apply these models on a well-known honey bees audio dataset provided by the NU-hive project and consider classification metrics such as accuracy, precision, recall, and F1 score for the comparative evaluation of our models. Our evaluation demonstrates SVM as the best-performing machine learning algorithm. …”
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Multi-Agent Reinforcement Learning With Action Masking for UAV-Enabled Mobile Communications by Danish Rizvi, David Boyle

“…Simulation results confirm that: 1) training a shared DQN outperforms a conventional DQN in terms of maximum system throughput (+20%) and training time (-10%); 2) it can converge for agents with different action spaces, yielding a 9% increase in throughput compared to Mutual DQN algorithm; and 3) combining NOMA with an SDQN architecture enables the network to achieve a better sum rate compared with existing baseline schemes.…”
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Improving Integrated Energy Systems With Improved Particle Swarm Optimization: Co-Optimizing Renewables, Electric Vehicles, Gas Systems, and Demand Management by Vahid Khademi, Soodabeh Soleymani, Reza Sharifi, Babak Mozafari

“…An enhanced particle swarm optimization (I-PSO) algorithm is employed to tackle this nonlinear optimization challenge, offering better performance compared to other methods. …”
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Integration of Regression-Based Guidance Ant for Enhanced Exploration and Convergence in Ant Colony Optimization (ACO) by Desi W. Sari, Suci Dwijayanti, Bhakti Y. Suprapto

“…Traditional Ant Colony Optimization (T-ACO) algorithms often face challenges in dynamic environments, particularly the tendency to become trapped in local minima, resulting in suboptimal path planning. …”
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Safe hierarchical virtual network mapping method based on clustering by Xie LU, Lei XU, Manjun ZHANG

“…Based on the 5G network environment, a security hierarchical virtual network mapping method based on K-means clustering was proposed.In particular, the idea of node security classification and the combination of K-menas clustering algorithm was involved to solve the key problems of low security and low mapping efficiency existing in current virtual network mapping.Compared with traditional methods, this research method improves the efficiency of virtual node mapping and enhances the network resilience.…”
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MIS Express Based Passenger Flows Classification Aimed at Determination of Interregional Travel Behaviour in the Russian Federation by E. A. Makarova, K. V. Surzhin, A. G. Piunov, A. V. Sokolovskiy

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Radar Working State Recognition Based on Improved HPSO-BP by Huiqin Li, Yanling Li, Xuemei Wang, Zhe Xu, Xinli Yin

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