ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel by F. Meng, J. Tang, G. Dai, W. Long, K. Sun, Z. Zhang, X. Song, X. Song, J. Liu, W. Chen, S. Wu, S. Wu, S. Wu

“…This paper outlines the algorithms employed for calibrating the nighttime 532 nm measurements for the first spaceborne high-spectral-resolution lidar with an iodine vapor absorption filter. …”
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Identification and Correction of Phase Unwrapping Errors in Multitemporal Small Baseline DInSAR Interferograms: A Three-Step Cascade Algorithm by Giovanni Onorato, Claudio De Luca, Francesco Casu, Michele Manunta, Muhammad Yasir, Pasquale Noli, Pasquale Striano, Riccardo Lanari

“…The obtained results clearly demonstrate the effectiveness of the presented approach.…”
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Dynamic Scene Segmentation and Sentiment Analysis for Danmaku by Limin Li, Jie Jing, Peng Shi

“…First, videos are cut into clear scenes based on detected scene changes. Then, a large group of Danmaku comments are collected and studied to make a complete dictionary of feelings for this field. …”
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Methods for Cognitive Diagnosis of Students’ Abilities Based on Keystroke Features by Xu Chi, Xinyu Guo, Yu Sheng

“…Due to the independence and discreteness of keystroke data, and the lack of a clear requirement for the selection of the number of clusters in traditional clustering algorithms, this selection is rather arbitrary, and outliers will affect the clustering effect. …”
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Fuzzy Fault Tree Maintenance Decision Analysis for Aviation Fuel Pumps Based on Nutcracker Optimization Algorithm–Graph Neural Network Improvement by Weidong He, Xiaojing Yin, Yubo Shao, Dianxin Chen, Jianglong Mi, Yang Jiao

“…Fault Tree Analysis (FTA) has a clear structure and strong interpretability in maintenance decision making. …”
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Estimation of Soil Organic Carbon Content of Grassland in West Songnen Plain Using Machine Learning Algorithms and Sentinel-1/2 Data by Haoming Li, Jingyao Xia, Yadi Yang, Yansu Bo, Xiaoyan Li

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Monitoring Sea Surface Temperature and Sea Surface Salinity Around the Maltese Islands Using Sentinel-2 Imagery and the Random Forest Algorithm by Gareth Craig Darmanin, Adam Gauci, Monica Giona Bucci, Alan Deidun

“…This was achieved by leveraging Sentinel-2 satellite platforms, the random forest Machine Learning algorithm, and in situ data collected from sea gliders and floats. …”
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Novel risk stratification algorithm for estimating the risk of death in patients with relapsed multiple myeloma: external validation in a retrospective chart review by Roman Hájek, Sebastian Gonzalez-McQuire, Zsolt Szabo, Michel Delforge, Lucy DeCosta, Marc S Raab, Walter Bouwmeester, Marco Campioni, Andrew Briggs

“…The risk stratification algorithm’s ability to discriminate overall survival across four risk groups was evaluated using Kaplan-Meier curves and HRs.Results Consistent with the Czech registry, the stratification performance of the risk stratification algorithm demonstrated clear differentiation in risk of death between the four groups. …”
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Workpiece position optimisation in robotic multi-axis machining by Tomáš Kratěna, Petr Vavruška, Jiří Švéda, Pavel Zeman

“…The results of measuring the quality of the surfaces machined in the default and optimised workpiece positions clearly show the effectiveness of the proposed method.…”
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A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles by Jianqiao Chen, Guofu Tian

“…The experimental results clearly indicate that the autonomous vehicle, after PID parameter optimization using a genetic algorithm, demonstrated the following speed tracking errors: when the road surface adhesion coefficient was 0.5, the maximum speed tracking error was 0.22, the average value was 0.063, and the standard deviation was 0.124; when the adhesion coefficient was 0.6, the maximum speed tracking error was 0.180, the average value was 0.056, and the standard deviation was 0.099; when the adhesion coefficient was 0.8, the maximum speed tracking error was 0.179, the average value was 0.056, and the standard deviation was 0.098. …”
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An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales by Ping Jiang, Qingping Zhou, Haiyan Jiang, Yao Dong

“…First, the original electricity consumption data are selected to construct different schemes (Scheme 1: short-term selection and Scheme 2: long-term selection); next, the iterative algorithm (IA) and cuckoo search algorithm (CS) are employed to select the best parameter of GM(1,1). …”
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Formulation of multicriteria problem of routing and scheduling of manned and unmanned aircraft in a dynamic environment and approach to its solution using genetic algorithms by G. N. Lebedev, V. B. Malygin, D. A. Mikhaylin, T. Byo

“…The practice of using genetic algorithms has shown that along with the achievement of a global extremum with it, the process of substantial improvement of planning results is achieved in several evolution steps, and their number is clearly less than the number of steps when using numerical methods of parametric optimization.  …”
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Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm by Yuanhang Qi, Haoran Jiang, Gewen Huang, Liang Yang, Fujie Wang, Yunjian Xu

“…To tackle the MUAVPP-MEC, this study proposes an improved Bee Foraging Learning Particle Swarm Optimization algorithm (IBFLPSO), which integrates the bee-foraging algorithm into the particle swarm optimization framework. …”
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An investigation into multi-objective decision-making in fresh cold chain supply chain networks within a dual distribution framework by Junyan Sun, Xing Li, Zefei Chen

“…Additionally, simulated annealing is introduced to optimize the offspring population after crossover and mutation operations, further enhancing population quality, accelerating convergence, and strengthening local search capabilities. The algorithm results show that, compared to the traditional NSGA-II and the SA-NSGA-II algorithms with random initialization, the LHS-SA-NSGA-II algorithm demonstrates clear advantages in terms of total cost, carbon emissions, and distribution time, confirming its superiority in optimizing cold chain networks. …”
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Enhancing recommender systems with provider fairness through preference distribution awareness by Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó

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Advanced DFE, MLD, and RDE Equalization Techniques for Enhanced 5G mm-Wave A-RoF Performance at 60 GHz by Umar Farooq, Amalia Miliou

“…Moreover, the performance of the proposed algorithms is compared to three commonly used algorithms: the simple least mean square (LMS) algorithm, the constant modulus algorithm (CMA), and the adaptive median filtering (AMF), demonstrating superior results in both QPSK and 16-QAM and extending the transmission distance up to 120 km. …”
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Analysis of TaqMan Array Cards Data by an Assumption-Free Improvement of the maxRatio Algorithm Is More Accurate than the Cycle-Threshold Method. by Luigi Marongiu, Eric Shain, Lydia Drumright, Reidun Lillestøl, Donald Somasunderam, Martin D Curran

“…These results suggested that the assumption-free MR algorithm was more reliable than the CT method, with clear advantages for the diagnostic settings.…”
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Assessing the Quality of Calyx of Physalis alkekengi L. var. franchetii Based on Quantitative Analysis of Q-Marker Combined with Chemometrics and Machine Learning Algorithms by Meiqi Liu, Ziying Qiu, Xiaoran Zhao, Lili Sun, Lizhi Wang, Xiaoliang Ren, Yanru Deng

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A Method for Generating and Evaluating Magnetic Flux Leakage Data for Large-diameter Pipeline Crack Defects Based on Numerical Simulation and Diffusion Algorithm by Chen Ximing, Li Kun, Fu Mengkai, Zhu Jianjun, Liu Xiaoben

“…The results show that the crack defect size has a clear impact on the MFL signal. For the axial component， the peak value is positively correlated with the defect depth， and the trough spacing is positively correlated with the defect length. …”
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Decoding On-Field Roles in Football: A Sociological Analysis Using Intelligent MCDM Algorithm With Fuzzy Information for Player Positioning and Technical-Tactical Behavior by Lu Yan, Nannan Wang, Rui Chen

“…Football is a challenging sport that demands an understanding of on-field roles, the nuances of player positioning, and clear player roles crucial for strategic advantage and achieving optimal team performance. …”
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