Comparison of Geostatistical Kriging Algorithms for Intertidal Surface Sediment Facies Mapping with Grain Size Data by No-Wook Park, Dong-Ho Jang

“…This paper compares the predictive performance of different geostatistical kriging algorithms for intertidal surface sediment facies mapping using grain size data. …”
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Econometric Modeling Combining MCMC Algorithm and Random Coefficient Quantile AR Model by Ting Wang

“…The results showed that compared with financial time series prediction algorithms, the fusion algorithm improved the prediction accuracy by 4.8% and the computation speed by 6.5 bps. …”
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Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm by Deok-Soon An, Young-Chan Suh, Sungho Mun, Byung-Sik Ohm

“…Accordingly, this paper introduces a parameter estimation procedure for ASJ-based noise prediction models, utilizing a harmony search (HS) algorithm. …”
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Collision resolution algorithm based on time-series forecasting for cognitive wireless networks by Shuang-mao YANG, Wei GUO, Wei TANG

“…A novel prediction-based collision resolution algorithm for self-similar traffic in cognitive wireless networks was formulated.The packet collision was resolved by combining the tree splitting scheme and the prediction theory.Through theoretical analysis and simulation experiments,the proposed prediction-based collision resolution algorithm performs better than the binary-tree splitting algorithm in terms of network throughput and collision resolution period.…”
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Hybrid Crow Search Algorithm–LSTM System for Enhanced Stock Price Forecasting by Chang-Long Jiang, Yi-Kuang Tsai, Zhen-En Shao, Shih-Hsiung Lee, Cheng-Che Hsueh, Ko-Wei Huang

“…This system allows investors to effectively avoid risks and enhance profits by predicting the closing price the following day. This method utilizes a stacking ensemble of long short-term memory (LSTM) networks, with the crow search algorithm (CSA) optimizing the weights assigned to the predictions from multiple LSTM models. …”
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Construction of prognostic scoring model for ovarian cancer based on deep learning algorithm by Xiaolin Zhong, Hongyang Xiao, Weihong Lu, Jiayuan Chen, Fan Chao, Ruiqin Tu

“…The aim of this study was to develop a prognostic prediction model for ovarian cancer based on pathological images. 158 In-house and 105 TCGA-OV pathological slides were processed with Macenko’s algorithm for stain normalization and patch extraction (256 × 256 pixels). …”
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Construction of Graduate Behavior Dynamic Model Based on Dynamic Decision Tree Algorithm by Fen Yang

“…The dynamic decision tree algorithm of college employment proposed in this paper has good predictability and provides a certain theoretical reference for college graduates’ entrepreneurship.…”
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Algorithm for automatic fatigue crack growth simulation on welded high strength steels by Ricardo Miguel Gomes Simões Baptista, Virginia Infante, João Marques

“…A simpler and more intuitive Python algorithm was developed, to enable the use of the experimental material parameters, to predict the crack propagation path. …”
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Multipath Branch Model-Aided Differential Evolution Algorithm Based on Regional Error by Yang Liu, Yi-Xuan Zhang, Zhong-Chao Lin, Yu-Jia Zou

“…In surrogate model-aided algorithms, the prediction accuracy of the surrogate model plays a key point in determining the optimization results. …”
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The Application and Research of the GA-BP Neural Network Algorithm in the MBR Membrane Fouling by Chunqing Li, Zixiang Yang, Hongying Yan, Tao Wang

“…So this paper used genetic algorithm to optimize the initial weights and the threshold of BP neural network and established the membrane fouling prediction model based on GA-BP network. …”
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Storm‐Time Characteristics of Ionospheric Model (MSAP) Based on Multi‐Algorithm Fusion by Zhou Chen, Kang Wang, Haimeng Li, Wenti Liao, Rongxin Tang, Jing‐song Wang, Xiaohua Deng

“…We use the Multi‐Step Auxiliary Prediction (MSAP) model, a deep learning algorithm, to forecast TEC during geomagnetic storms. …”
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Comparison of Nonlinear Functions to Define the Growth in Intensive Feedlot System with XGBoost Algorithm by Demet Çanga Boğa, Mustafa Boğa, Cem Tırınk

“…In this study, the parameters in the best prediction model were calculated individually and the relationship of these parameters with body weight was evaluated with the XGBoost algorithm. …”
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Carbon emission forecasting in Zhejiang Province based on LASSO algorithm and grey model by HONG Jingke, DU Wei, SHAO Jin*, LAO Huimin

“…Under the green and low-carbon development goal of achieving "carbon peaking and carbon neutrality" in China, cyclical analysis and accurate prediction of carbon emissions are of great importance. …”
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VF-CART: A communication-efficient vertical federated framework for the CART algorithm by Yang Xu, Xuexian Hu, Jianghong Wei, Hongjian Yang, Kejia Li

“…During the prediction stage, only one ciphertext must be transmitted to predict a sample. …”
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Multimodal Fusion Image Stabilization Algorithm for Bio-Inspired Flapping-Wing Aircraft by Zhikai Wang, Sen Wang, Yiwen Hu, Yangfan Zhou, Na Li, Xiaofeng Zhang

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ESTIMATION OF HEALTHY AND LIVER DISEASED INDIVIDUALS BY A LINEAR REGRESSION CLASSIFICATION ALGORITHM by Handan Tanyıldızı Kökkülünk

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Towards a comprehensive view of the pocketome universe-biological implications and algorithmic challenges. by Hanne Zillmer, Dirk Walther

“…With the availability of reliably predicted 3D-structures for essentially all known proteins, characterizing the entirety of compound-binding sites (binding pockets on proteins) has become a possibility. …”
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Algorithm for forming a geo-map of citizen appeals using artificial intelligence by Mallaev Oybek, Gazatov Jamoliddin, Aliyev Jaloliddin

“…This article presents the development of a method, mechanism, module, and algorithm for the automatic analysis, real-time visualization, and intelligent resolution of citizen appeals using artificial intelligence (AI) and geo-mapping technologies. …”
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Spatiotemporal correlation–based adaptive sampling algorithm for clustered wireless sensor networks by Wenyu Cai, Meiyan Zhang

“…Simulation results demonstrate the performance benefits of proposed algorithm.…”
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EFFICIENT ALGORITHM FOR NUMERICAL INTEGRATION OF MOTION EQUATIONS OF LARGE PARTICLES in Microwave Devices by A. O. Rak

“…The algorithm is presented in three forms: explicit, prediction-correction and a modified, designed to simulate the motion of large relativistic particle in an electromagnetic field. …”
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