Adaptive Granularity-Fused Keypoint Detection for 6D Pose Estimation of Space Targets by Xu Gu, Xi Yang, Hong Liu, Dong Yang

“…Furthermore, our ADSAN implements the selective keypoint focus module (SKFM) algorithm to alleviate problems caused by partial occlusions and viewpoint alterations. …”
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Application of selective ensemble learning soft sensor modeling based on GPR in the solar thermal power collection system by Yalu Sun, Kun Ding, Changhai Yang, Zhuxiu Wang

“…In order to achieve zero carbon emissions, new concepts and algorithms are needed in the control of renewable energy to ensure the safe and reliable operation of the grid under the trend of zero carbonization in the future. …”
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Komparasi Performa Algoritma Kompresi Data Lossless Menggunakan Rasio Kompresi Dan Penghematan Ruang by Aswar Hanif, Endang Wahyudi, Harna Adianto, Lilik Martanto

“…Beberapa metode dan algoritma kompresi lossless diantaranya seperti Lempel–Ziv–Markov chain algorithm (LZMA), Prediction by partial matching (PPM), Burrows-Wheeler block sorting text compression algorithm and Huffman coding (BZip2), dan Deflate. …”
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A Ship Heading Estimation Method Based on DeepLabV3+ and Contrastive Learning-Optimized Multi-Scale Similarity by Weihao Tao, Yasong Luo, Jijin Tong, Qingtao Xia, Jianjing Qu

“…The framework introduces the Multi-Scale Structural Similarity (MS-SSIM) algorithm enhanced by a triplet contrastive learning mechanism that dynamically optimizes feature weights across scales, thereby improving robustness against image degradation and partial occlusion. …”
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Flaxseed protein content prediction based on hyperspectral wavelength selection with fractional order ant colony optimization by Bo Wang, Junying Han, Chengzhong Liu, Jianping Zhang, Yanni Qi

“…A joint x-y distance algorithm was applied to divide the dataset into calibration and prediction sets after removing outliers. …”
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Hardware-in-loop implementation of an adaptive MPPT controlled PV-assisted EV charging system with vehicle-to-grid integration by Surabhi Singh, Hari Om Bansal

“…This algorithm is also tested under dynamic partial shading conditions (PSC) to ensure robustness, and it led to achieving fast convergence and high efficiency despite multiple power peaks. …”
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An Innovative Online Adaptive High-Efficiency Controller for Micro Gas Turbine: Design and Simulation Validation by Rui Yang, Yongbao Liu, Xing He, Zhimeng Liu

“…In this article, an innovative online adaptive high-efficiency control strategy is proposed to improve the power generation efficiency of a marine micro gas turbine under partial load. Firstly, a mathematical model of the micro-gas turbine is established, and a control strategy consisting of an on-board prediction model and an online update model is proposed. …”
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Direction-of-Arrival Estimation for Wideband Chirps via Multi-Line Fitting in the Fractional Fourier Domain by Eulogio G. Huampo, Juliano B. Lima, Jose R. de Oliveira Neto

“…In this context, we also introduce the so-called local discrete SmFrFT, an algorithm for computing partial points of the (discrete) SmFrFT with a further reduction in the number of involved arithmetic operations. …”
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Component Prediction of Antai Pills Based on One-Dimensional Convolutional Neural Network and Near-Infrared Spectroscopy by Tuo Guo, Fengjie Xu, Jinfang Ma, Fahuan Ge

“…This algorithm was compared with other chemometric methods, including support vector machine regression (SVR) and partial least-square regression (PLSR) methods. …”
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Hybrid Sensor Placement Framework Using Criterion-Guided Candidate Selection and Optimization by Se-Hee Kim, JungHyun Kyung, Jae-Hyoung An, Hee-Chang Eun

“…These are followed by one of four optimization algorithms—greedy, genetic algorithm (GA), particle swarm optimization (PSO), or simulated annealing (SA)—to identify the optimal subset of sensor locations. …”
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Mapping and understanding the regional farmland SOC distribution in southern China using a Bayesian spatial model by Bifeng Hu, Yibo Geng, Hanjie Ni, Zhou Shi, Zheng Wang, Nan Wang, Jipeng Luo, Modian Xie, Qian Zou, Thomas Optiz, Hongyi Li

“…The competitive adaptive reweighted sampling algorithm − partial least square (CARS-PLS) algorithm is adopted to select the most related covariates from the original covariates pool. …”
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A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition by Shu Zhang, Jian Hao, Donghai Wang, Chenglong Luo, Na Lu, Xiaocen Guo, Yanfang Liu, Zixiao Zhang, Shengli Li

“…Fourier-transform infrared (ATR-FTIR) spectroscopy technology was applied, and partial least squares regression (PLSR) and backpropagation artificial neural network (BP-ANN) algorithms were used in the current study. …”
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Formation of a heterogeneous group of UAVS with a reasonable number of false and real drones by Volodymyr Prymirenko, Andrii Demianiuk, Roman Shevtsov, Serhii Bazilo, Andrey Pilipenko, Mykola Vovchanskyi

“…The obtained formulas and algorithms were verified by computer simulation using the Monte Carlo method. …”
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Integrating Active Disturbance Rejection Control and Input Shaping for Enhanced Vibration Control of Warehouse Single Mast Stacker Crane by Thi Ly Tong, Duy Canh Nguyen, Minh Duc Duong

“…To conduct this study, a system of partial differential equations has been developed to model the single mast stacker crane. …”
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THE INFLUENCE OF STORE ATMOSPHERE AND CUSTOMER EXPERIENCE ON PURCHASING DECISIONS THROUGH CUSTOMER SATISFACTION AS AN INTERVENING VARIABLE by Defitri Karunia Agustin, Roudlotul Badi’ah

“…With 100 respondents selected using purposeful sampling using the Lemeshow algorithm, this study uses a quantitative methodology. …”
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An Improved Fast Prediction Method for Full-Space Bistatic Acoustic Scattering of Underwater Vehicles by Ruichong Gu, Zilong Peng, Yaqiang Xue, Cong Xu, Changxiong Chen

“…By utilizing target surface mesh information and partial scattered sound pressure data as known inputs, the method predicts other bistatic scattering sound fields through numerical integration, matrix theory, and the least squares method. …”
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On the adaptability of ensemble methods for distributed classification systems: A comparative analysis by Mónica Villaverde, David Aledo, David Pérez, Félix Moreno

“…Therefore, the artificial neural network and the plurality majority algorithm are compared against our two proposed adaptive algorithms. …”
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From platform provider to big-data-enabled financier: Industrial upgrading in China’s hog sector by Yuxing Zhang

“…The process constructs a feedback-loop system that embeds farming operations within the platform ecosystem, making them susceptible to data-driven, algorithm-aided control. The dual processes of platformization and financialization can lead to two key consequences. …”
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The RBF-FD and RBF-FDTD Methods for Solving Time-Domain Electrical Transient Problems in Power Systems by Duc-Quang Vu, Nhat-Nam Nguyen, Phan-Tu Vu

“…In this paper, the development and application of the radial basis function-finite difference (RBF-FD) method and the RBF-finite difference time domain (RBF-FDTD) method for solving electrical transient problems in power systems that are defined by the time-dependent ordinary differential equations (ODEs) and the time-dependent partial differential equations (PDEs), respectively, are presented. …”
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Design Optimization of Parameters for Resolver Software Decoding Based on Surrogate Model Management by DENG Yu, LING Yuelun, WU Zuolai, PENG Zaiwu, WANG Jun

“…Next, a surrogate model was constructed for the software decoding system, using the Latin hypercube design (LHD) method and based on a radial basis function. Finally, a genetic algorithm (GA) was utilized to optimize parameters in the resolver software decoding system through a solving process, and a partial encryption method was introduced to iteratively update the surrogate model, yielding a partially optimal solution that meets the error requirements. …”
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