Experimental Evaluation of Multi- and Single-Drone Systems with 1D LiDAR Sensors for Stockpile Volume Estimation by Ahmad Alsayed, Fatemeh Bana, Farshad Arvin, Mark K. Quinn, Mostafa R. A. Nabawy

“…The adaptive formation control algorithm, newly developed in this study, synchronises the drones’ waypoint arrivals and facilitates smooth transitions between dynamic formation shapes. …”
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Switching Loss Model for SiC MOSFETs Based on Datasheet Parameters Enabling Virtual Junction Temperature Estimation by Claudio Bianchini, Mattia Vogni, Alessandro Chini, Giovanni Franceschini

“…The proposed NAM is implemented in MATLAB using an iterative algorithm that accounts for the main physical phenomena involved in switching transitions. …”
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Application of nine point logic control and predictive pid control algorithms in smart grid decision-making by Zhixin Ou

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Comprehensive Analysis of Trends in Ocean Surface Current by Delineating Kuroshio Extent Using an Optimized Segmentation Algorithm by Mohammed Abdul Athick A.S., Shih-Yu Lee, Chian-Yi Liu

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KDFE: Robust KNN-Driven Fusion Estimator for LEO-SoOP Under Multi-Beam Phased-Array Dynamics by Jiaqi Yin, Ruidan Luo, Xiao Chen, Linhui Zhao, Hong Yuan, Guang Yang

“…This decision model overcomes the accuracy-robustness trade-off by matching algorithmic strengths to beam-specific dynamics, ensuring optimal performance during abrupt SNR transitions and high Doppler rates. …”
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Advancing lakes algal chlorophyll estimation in the contiguous USA: A comparative study of machine learning models and satellite data by Md Mamun, Xiao Yang

“…The accuracy of algorithms for estimating CHL-a depends on the satellite sensor. …”
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Evaluation of Global-Scale and Local-Scale Optimized Segmentation Algorithms in GEOBIA With SAM on Land Use and Land Cover by Tao He, Jianyu Chen, Linchong Kang, Qiankun Zhu

“…However, obtaining outstanding segmentation results in all scenarios proves challenging with a single algorithm. This study investigates seven segmentation algorithms: mean shift (MF), O Sistema de Processamento de informações georreferenciadas (the geographic information and image processing system) (SPRING), Estimation of scale parameter 2 (ESP2) (three global-scale algorithms), image object detection approach (IODA), SA, edge-guided image object detection approach (EIODA) (three local-scale optimization algorithms), and segment anything model (SAM) (deep learning). …”
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NONINVASIVE ESTIMATION OF THE LOCAL TEMPERATURE OF BIOTISSUES HEATING UNDER THE ACTION OF LASER IRRADIATION FROM THE LUMINESCENCE SPECTRA OF Nd3+ IONS by I. D. Romanishkin, D. V. Pominova, P. V. Grachev, V. I. Makarov, A. S. Vanetsev, E. O. Orlovskaya, A. E. Baranchikov, I. Sildos, V. B. Loschenov, Y. V. Orlovskii, A. V. Ryabova

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Design and Practical Evaluation of Robust Model Predictive Wind Turbine Control by Andreas Klein, Thorben Wintermeyer‐Kallen, János Zierath, Kevin Kluge, Dirk Abel, Heike Vallery, Maximilian Basler

“…To this end, we combine an extended Kalman filter for nonlinear state estimation with robust linear time‐varying MPC. We evaluate the proposed control algorithm in terms of time‐domain performance and power curve in simulation. …”
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The Design Method of Enhanced Unscented Kalman Filter Considering UT Transform Truncation Error by Ziran Luo, Chenglin Wen

“…To address this challenge, this paper proposes a novel estimation algorithm that explicitly accounts for the UT truncation error. …”
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Integration of agronomic information, vegetation indices (VIs), and meteorological data for phenological monitoring and yield estimation of rice (Oryza sativa L.) by Jorge A. Fernandez-Jibaja, Nilton Atalaya-Marin, Yeltsin A. Álvarez-Robledo, Victor H. Taboada-Mitma, Juancarlos Cruz-Luis, Daniel Tineo, Malluri Goñas, Darwin Gómez-Fernández

“…Among the regression algorithms tested, support vector regression (SVR) demonstrated the highest predictive accuracy (R² = 0.81) for the Bellavista variety at the maximum tillering stage. …”
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Intelligent maneuver decision-making for UAVs using the TD3–LSTM reinforcement learning algorithm under uncertain information by Tongle Zhou, Ziyi Liu, Wenxiao Jin , Zengliang Han

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Constipations in elderly: diagnostics and treatment approach by Yu. O. Shulpekova

“…Adequate nutrition, physical motions, treat- ment of cognitive disorders and care for the patient have major value. Algorithms of stage-by-stage treat- ment of constipation with normal and delayed transit are presented.Conclusion. …”
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Evolutionary Synthesis of High-Capacity Reconfigurable Multilayer Road Networks Using a Multiagent Hybrid Clustering-Assisted Genetic Algorithm by Andranik S. Akopov, Levon A. Beklaryan

“…In addition, the algorithm combines the use of finite-state machines (FSMs) to control the transitions between the states of agent-processes and the fuzzy clustering technique (FCA) to estimate the swarm and select clusters for interaction among the groups of agent-processes and particle swarms. …”
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A Comprehensive Review of Multiple Physical and Data-Driven Model Fusion Methods for Accurate Lithium-Ion Battery Inner State Factor Estimation by Junjie Tao, Shunli Wang, Wen Cao, Carlos Fernandez, Frede Blaabjerg

“…Although physics-based state estimation techniques have matured, challenges remain regarding accuracy and robustness in complex environments. …”
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Promoting or Hindering: The Impact of ESG Rating Differences on Energy Enterprises’ Green Transformation—A Causal Test from Double Machine-Learning Algorithms by Jun Wan, Yuejia Wang, Yuan Wang

“…There is a lack of comprehensive evaluation on the impact of ESG rating differences on the green transformation of energy enterprises in the transition era. This study leverages data from companies listed on the Shanghai Stock Exchange in China, applying double machine-learning algorithms to precisely estimate the causal relationship between variations in ESG ratings and the green transition efficiency of energy companies. …”
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Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study by Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji

“…Both the trajectory and machine learning algorithm contributed significantly to the enhancement of model performance. …”
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Fairness in Healthcare Services for Italian Older People: A Convolution-Based Evaluation to Support Policy Decision Makers by Davide Donato Russo, Frida Milella, Giuseppe Di Felice

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E-commerce Live-Streaming Platform and Decision Support System Based on Fuzzy Association Rule Mining by Hua Liao

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A Review of High-Sensitivity Tracking Techniques for Satellite Navigation Signals by Zhiqiang Gong, Honglei Lin, Zhe Liu, Zengjun Liu, Long Huang, Gang Ou

“…With the increasing demand for high-sensitivity signal tracking in complex environments, GNSS receiver technologies have continuously evolved in both architecture and algorithmic design. This paper presents a systematic review of the development of high-sensitivity tracking techniques, with a focus on the transition from closed-loop to open-loop, hybrid, and deeply integrated architectures. …”
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