Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning by Golam Moktader Nayeem, Mingyu Fan, Golam Moktader Daiyan

“…We propose a Q-learning-based GWO algorithm to address these issues in this study. QGWO introduces four key features: a Q-learning-based adaptive convergence factor, a segmented and parameterized position update strategy, a long-jump mechanism for population diversity preservation, and the replacement of non-dominant wolves for improved exploration. …”
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A strategic approach to the placement of PV-integrated EV charging stations for enhancing the distribution network performance by Raj Chakraborty, Subhojit Dawn, Priyanath Das, Diptanu Das, Sadhan Gope, Md. Minarul Islam, Taha Selim Ustun

“…The backward forward sweep power flow technique has been applied to perform the analysis by considering the variable parameters of the electrical system. The issues have been framed as an optimization task and tackled by applying the symbiotic organisms search technique. …”
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Prediction of Air-Conditioning Outlet Temperature in Data Centers Based on Graph Neural Networks by Qilong Sha, Jing Yang, Ruping Shao, Yu Wang

“…This study addresses the issue of excessive cooling in data center server rooms caused by the sparse deployment of server cabinets. …”
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Prescribed-Time Formation Tracking Control for Underactuated USVs with Prescribed Performance by Bowen Sui, Jianqiang Zhang, Zhong Liu

“…Additionally, a unique performance function was developed, enabling the performance function to converge to a predetermined accuracy within a specified time, while allowing for flexible adjustment of the performance constraint shape by parameter modification. Furthermore, a prescribed-time formation control algorithm was developed by combining graph theory and dynamic surface control, enabling the formation error to converge within preset performance constraints at a specified period of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">T</mi><mo>=</mo><mn>10</mn><mo> </mo><mi mathvariant="normal">s</mi></mrow></semantics></math></inline-formula>. …”
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A Study on the Effect of Waiting Time of Ships at Anchor on Efficiency Measurement in Ports by Saip Onurhan Kadıoğlu, Murat Yorulmaz, Soner Esmer

“…The fact that ports are complex and dynamic service businesses causes efficiency measurements to be multivariate. …”
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Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

“…To solve the problem that the parameter of silicon content ([Si]) in hot mental is difficult to be directly detected and obtained by manual analysis with large time delay, a method of sparse and robust least squares support vector regression (R-S-LS-SVR) was proposed to establish a dynamic model of[Si] with the help of the multi-objective genetic optimization of model parame-ters. …”
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(<italic>Q</italic>, <italic>S</italic>, <italic>R</italic>)-Dissipativity Analysis of Large-Scale Networked Singular Systems With Time Delays by Lingze Zhang, Huabo Liu

“…This paper investigates the strictly (Q, S, R)-dissipative issues of large-scale networked singular time-delay systems composed of multiple subsystems in discrete time. …”
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Migration, Health and Development in India, South Asia and China: Perspectives in the COVID-19 Era by Binod Khadria, Narender Thakur, Ratnam Mishra

“…The chapter provides background on comparative indicators of economic development in India, other major South Asian countries and China, and critically examines three issues: (a) lessons from the challenges COVID-19 posed to the GCM objective of making migration ‘safe, orderly and regular’ (SOR); (b) indicators of the relationship between migration, health and development in the context of the GCM and COVID-19; and (c) challenges emerging from the dynamic relationship between migration, health and development in the COVID-19 era.…”
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A review on beef cattle supplementation technologies by Guilherme Defalque, Ricardo Santos, Marcio Pache, Cristiane Defalque

“…Finally, we propose a new Internet of Things architecture focused on the cattle supplementation process that combines technologies to compose a dynamic supplementation decision-making system capable of estimating the quantity and quality of the supplement that the herd needs in the presence of changes in the environment, pasture, and animals’ conditions parameters to reach production targets.…”
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An ensemble learning method with GAN-based sampling and consistency check for anomaly detection of imbalanced data streams with concept drift. by Yansong Liu, Shuang Wang, He Sui, Li Zhu

“…Only a few approaches tackle the joint issue of imbalance and concept drift. To overcome this joint issue, we propose an ensemble learning method with generative adversarial network-based sampling and consistency check (EGSCC) in this paper. …”
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Design of a novel robust adaptive fractional-order model predictive controller for boost converter using grey wolf optimization algorithm by Chao Peng, Seyyed Morteza Ghamari, Hasan Mollaee, Omid Rezaei

“…Abstract Boost converters play a crucial role in power electronics but present control challenges due to their non-minimum phase behavior and nonlinear dynamics at high switching frequencies. To address these issues, this work proposes a Fractional-order adaptive Model Predictive Control (FO-MPC) framework incorporating Exponential Regressive Least Squares (ERLS) for system identification. …”
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Effect of losartan on the ultrastructural morphology of blood cells in patients with diabetes mellitus and hypertension by Pertseva N.O., Turlyun T.S.

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LePB-SA4RE: A Lexicon-Enhanced and Prompt-Tuning BERT Model for Evolving Requirements Elicitation from App Reviews by Zhiquan An, Hongyan Wan, Teng Xiong, Bangchao Wang

“…Specifically, the activation function of this layer incorporates weights designed with sentiment-oriented dynamic parameters to enhance the sensitivity of the model to diverse sentiment inputs, and a sentiment lexicon containing three hundred thousand word–sentiment polarity pairs is embedded into the model as additional semantic cues to increase prediction accuracy. …”
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Dataset of microscale atmospheric flow and pollutant concentration large-eddy simulations for varying mesoscale meteorological forcing in an idealized urban environmentZenodo by Eliott Lumet, Thomas Jaravel, Mélanie C. Rochoux

“…They are also subject to significant uncertainties, particularly those arising from the mesoscale meteorological forcing and the internal variability of the atmospheric boundary layer, some of which are aleatory and thereby irreducible. Given these issues, the construction of CFD datasets that account for uncertainty would be an interesting avenue of research for microscale atmospheric science.In this context, we present the PPMLES (Perturbed-Parameter ensemble of MUST Large-Eddy Simulations) dataset, which consists of 200 large-eddy simulations (LES) characterizing the complex interactions between the turbulent airflow, the tracer dispersion, and an idealized urban environment. …”
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The stochastic evolution game of knowledge-sharing incentive in virtual communities under intelligent recommendation systems by Ya-feng Xiong, Wen-sheng Jia

“…We obtained the evolutionary equilibrium strategies under different parameter restrictions and analyzed the evolutionary stability of the dynamic game process of knowledge sharing incentives. …”
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Enhanced Isolation Forest-Based Algorithm for Unsupervised Anomaly Detection in Lidar SLAM Localization by Guoqing Geng, Peining Wang, Liqin Sun, Han Wen

“…Identifying such anomalies currently relies on post-trajectory analysis with subjective parameter thresholds. To address this issue, we propose an unsupervised real-time localization anomaly detection model based on the isolation forest algorithm. …”
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Assessment Method for Feeding Intensity of Fish Schools Using MobileViT-CoordAtt by Shikun Liu, Xingguo Liu, Haisheng Zou

“…Experimental results demonstrate that the MobileViT-CoordAtt model, trained with transfer learning, achieves an accuracy of 97.18% on the test set, with a compact parameter size of 4.09 MB. These findings indicate that the proposed method can effectively evaluate fish feeding intensity in practical aquaculture environments, providing critical support for formulating dynamic feeding strategies.…”
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Bilateral Asymmetries of Plantar Pressure and Foot Balance During Walking, Running, and Turning Gait in Typically Developing Children by Wei Liu, Liu Xu, Haidan Wu, Yile Wang, Hanhui Jiang, Zixiang Gao, Endre Jánosi, Gusztav Fekete, Qichang Mei, Yaodong Gu

“…Regional plantar pressure analysis also revealed a more significant load on specific foot areas during these dynamic movements, indicating an increased reliance on one foot for stability and control. …”
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Static pressure prediction method for CO2 flooding oil reservoirs based on time series partitioning Transformer model by LI Chunlei, YANG Heshan, ZHANG Hongxia, CAO Yumin, JIANG Xingxing, JIN Caixia

“…Static pressures are estimated with empirical methods based on dynamic pressure data during the production process； however， data errors are significant. …”
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An Ultra-high-power Electric Arc Furnace Model for Low-Frequency Non-stationary Inter-harmonics Studies by Caihua LIN, Yi ZHANG, Zhenguo SHAO, Fang LIN, Daoshan HUANG, Yan LIN

“…Then, the genetic ant colony algorithm is used to identify the parameters of the dynamic mathematical model. Finally, a 100 t AC electric arc furnace in Fujian was used for case study, and the feasibility of the proposed model was verified under Matlab/Simulink environment. …”
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