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    Unconfined Compressive Strength Prediction of Rocks Using a Novel Hybrid Machine Learning Algorithm by Rafiqul Islam, Md. Arif Hossain

    Published 2024-12-01
    “…This paper introduces a novel methodology for predicting Unconfined Compressive Strength (UCS) in rocks by integrating Support Vector Regression (SVR) with two cutting-edge optimization algorithms: the Seahorse Optimizer (SO) and the COOT Optimization Algorithm (COOT). …”
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    A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

    Published 2024-12-01
    “…This paper presents the spatiotemporal analysis fitting prediction algorithm (SA-Fit), an approximation algorithm for regional high-dimensional meteorological data prediction. …”
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  6. 526

    Maturity Prediction in Soybean Breeding Using Aerial Images and the Random Forest Machine Learning Algorithm by Osvaldo Pérez, Brian Diers, Nicolas Martin

    Published 2024-11-01
    “…Using the Random Forest machine learning algorithm and time series of RGB (red, green, blue) and multispectral images taken from a drone, this work aimed to study, in three breeding experiments of plant rows, how maturity predictions are impacted by a number of factors. …”
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    Algorithm of calculation of Predicted No-effect Concentration (PNEC) for evaluation of the environmental risk of veterinary medicinal products by Viviana Ciuca, V. V. Safta, Romeo Teodor CRISTINA

    Published 2019-05-01
    “…The paper presents an algorithm for calculating predictable no-effect concentrations (PNEC) for environmental factors: soil, water, sediment required for environmental risk assessment of veterinary medicinal products. …”
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    Article
  9. 529

    Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction by Shweta Ashish Koparde, Sonali Kothari, Sharad Adsure, Kapil Netaji Vhatkar, Vinod V. Kimbahune

    Published 2025-06-01
    “…This research • Introduces a novel approach for predicting the host of influenza viruses by leveraging protein sequences. • Extraction of features, including sequence length, Amino Acid Composition (AAC), Dipeptide Composition (DPC), Tripeptide Composition (TPC), aromaticity, secondary structure fraction, and entropy from protein sequence. • Addresses the data imbalance and improves model generalization, the oversampling technique is applied for data augmentation.The prediction model employs a Deep Recurrent Neural Network (DRNN) optimized by Fractional Addax Optimization 34 Algorithm (FAOA), a hybrid of Addax Optimization Algorithm (AOA) and Fractional Concept (FC), designed to perform 35 influenza virus host prediction. …”
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  10. 530

    A New XGBoost Algorithm Based Prediction Model for Fetal Growth Restriction in Patients with Preeclampsia by Haijuan Li, Sumei Wang, Chunyu Zhan

    Published 2023-08-01
    “…Background: To construct a predictive model for fetal growth restriction (FGR) in preeclampsia (PE) patients using extreme Gradient Boosting (XGBoost) algorithm. …”
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  11. 531

    Application of SVM algorithm in fluid prediction of volcanic reservoirs in Nanpu Sag, Bohai Bay Basin by ZHANG Ying,QU Lili,ZHU Lu,ZHANG Yan,HAN Siyang,ZENG Cheng

    Published 2023-04-01
    Subjects: “…|svm algorithm|reservoir characteristics|fluid prediction|volcanic rocks|nanpu sag…”
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    Article
  12. 532

    XGBoost algorithm optimized by simulated annealing genetic algrithm for permeability prediction modeling of carbonate reservoirs by Changbing Huang, Xinyu Zhu, Mingyu Lu, Yuling Zhang, Shengbo Yang

    Published 2025-04-01
    “…The results show that the prediction results of SA-GA-XGBoost algorithm are more consistent with the core data. …”
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    Article
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    Development of a Student Depression Prediction Model Based on Machine Learning with Algorithm Performance Evaluation by Penni Wintasari Simarmata, Putri Taqwa Prasetyaningrum

    Published 2025-06-01
    Subjects: “…classification algorithm, depression prediction, machine learning, model development, model evaluation…”
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    Article
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    Prediction method of soil water content based on SVM optimized by improved salp swarm algorithm by Xiaoqiang ZHAO, Fan YANG, Zhufeng YAN

    Published 2021-03-01
    Subjects: “…soil water content prediction;support vector machine;salp swarm algorithm;opposition-based learning;chaotic optimization…”
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    Predicting transmembrane helix packing arrangements using residue contacts and a force-directed algorithm. by Timothy Nugent, David T Jones

    Published 2010-03-01
    “…Despite significant efforts to predict transmembrane protein topology, comparatively little attention has been directed toward developing a method to pack the helices together. …”
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