Predicting Convergence of Per Capita Income in Spain: A Markov and Cluster Approach by José F. Gálvez-Rodríguez, Miguel Manzano-Hidalgo, Amelia V. García-Luengo

“…Moreover, we can obtain the average time to return to an income level in which a province was previously. With the above, predictions of future income levels are made for the provinces, both in the current situation, and if the pandemic caused by COVID-19 had not existed, which leads us to evaluate the impact of the health emergency.…”
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Predicting dry matter intake in Pelibuey sheep using machine learning methods by Enrique Camacho-Perez, Cem Tirink, Ricardo Garcia-Herrera, Ángel T. Piñeiro-Vazquez, Fernando Casanova-Lugo, Jorge R. Canul-Solis, Antonio Leandro Chaves-Gurgel, Ceyhun Yücel, Einar Vargas-Bello-Pérez, Alfonso J. Chay-Canul

“…Overall, the MARS algorithm was a reliable predictive model for DMI prediction in the Pelibuey sheep.…”
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Machine Learning-Driven Scattering Efficiency Prediction in Passive Daytime Radiative Cooling by Changmin Shi, Jiayu Zheng, Ying Wang, Chenjie Gan, Liwen Zhang, Brian W. Sheldon

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FusionScan: accurate prediction of fusion genes from RNA-Seq data by Pora Kim, Ye Eun Jang, Sanghyuk Lee

“…Here, we present FusionScan, a highly optimized tool for predicting fusion transcripts from RNA-Seq data. We specifically search for split reads composed of intact exons at the fusion boundaries. …”
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Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization by Wen Zou, Zhanxin Cui, Genghui Li, Zhiwei Feng, Zhenkun Wang, Qingyu Gao, Qingbin Zhang, Tao Yang

“…To address this issue, this paper introduces a novel tube prediction scheme by leveraging the natural geometric characteristics of the reachable tube and employing a multiobjective optimization strategy. …”
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Analysing DNA methylation and transcriptomic signatures to predict prostate cancer recurrence risk by Fahad M. Aldakheel, Hadeel Alnajran, Shatha A. Alduraywish, Ayesha Mateen, Mohammed S. Alqahtani, Rabbani Syed

“…This study employs a machine learning approach to identify DNA methylation and RNA expression biomarkers predictive of PCa recurrence using datasets from The Cancer Genome Atlas (TCGA). …”
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Energy Consumption Predication in China Based on the Modified Fractional Grey Prediction Model by Jiefang Liu, Pumei Gao

“…The advantages and prediction accuracy of the model established in this paper are analyzed, and the data in the following years are effectively predicted, so as to provide theoretical support for the government to formulate reasonable energy policies.…”
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Robust Predictive Functional Control for Flight Vehicles Based on Nonlinear Disturbance Observer by Yinhui Zhang, Huabo Yang, Zhenyu Jiang, Fan Hu, Weihua Zhang

“…And then the lumped disturbances are considered in the linear structure predictive model of the predictive functional control to increase the precision of the predictive output and resolve the intractable mismatched disturbance problem. …”
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Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network by Thuy-Anh Nguyen, Hai-Bang Ly, Hai-Van Thi Mai, Van Quan Tran

“…Accurate prediction of the concrete compressive strength is an important task that helps to avoid costly and time-consuming experiments. …”
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Demographic-Based Algorithm Used to Predict the Implant Sizing in Total Knee Arthroplasty by Sunil Rajan, Saurabh Jain, Chetan Singh Dhosariya

“…Background: Prediction of the accurate implant improves preparedness for surgery and helps to reduce intraoperative difficulties. …”
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Geospatial Modelling Predicts Agricultural Microplastic Hotspots from Biosolid Application Risks by Kieran McNulty, Kamrun Nahar

“…In Australia, there has been limited research on the agricultural concentrations of microplastics, and there has been no predictive modelling to identify which geographies are most at risk for pollution. …”
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An Information Geometric Perspective on the Complexity of Macroscopic Predictions Arising from Incomplete Information by Sean Alan Ali, Carlo Cafaro, Steven Gassner, Adom Giffin

“…In this manuscript, we discuss several illustrative examples wherein our modeling scheme is employed to infer macroscopic predictions when only partial knowledge of the microscopic nature of a given system is available. …”
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Critical Segments Identification for Link Travel Speed Prediction in Urban Road Network by Xiaolei Ru, Xiangdong Xu, Yang Zhou, Chao Yang

“…Predicting traffic operational condition is crucial to urban transportation planning and management. …”
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Multirule Based Diagnostic Approach for the Fog Predictions Using WRF Modelling Tool by Swagata Payra, Manju Mohan

“…The prediction of fog onset remains difficult despite the progress in numerical weather prediction. …”
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A computational approach for prediction of viscosity of chemical compounds based on molecular structures by Sneha Das, Ram Kishore Roy, Tulshi Bezboruah

“…The research paper explores the feasibility of predicting the viscosity of a diverse chemical compound by using molecular structures at 25 °C through supervised machine learning methods. …”
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Reducing Reconfiguration Overheads in Heterogeneous Multicore RSoCs with Predictive Configuration Management by Stéphane Chevobbe, Stéphane Guyetant

“…A predictive dynamic reconfiguration management service is described here, targeting a new generation of multicore SoC that embed multiple heterogeneous reconfigurable cores. …”
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Machine learning algorithms can predict emotional valence across ungulate vocalizations by Romain A. Lefèvre, Ciara C.R. Sypherd, Élodie F. Briefer

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The Role of NMP22 and CSTB Levels in Predicting Postoperative Recurrence of Bladder Cancer by Changkun Huang, Xiaolin Ai, Liping Hu, Da Ren

“…The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of NMP22 and CSTB single detection and combined detection were evaluated for postoperative recurrence of bladder cancer. …”
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ANALYSIS TO PREDICTE THE NUMBER OF NEW STUDENTS AT UNU PASURUAN USING ARIMA METHOD by Fachri Ayudi Fitrony, Laksmita Dewi Supraba, Tessa Rantung

“…The largest prediction of the number of new students is in July, which is 92.72 and the smallest in February, which is 24.43. …”
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High Capacity Reversible Watermarking for Audio by Histogram Shifting and Predicted Error Expansion by Fei Wang, Zhaoxin Xie, Zuo Chen

“…In this paper, we present a novel reversible audio watermarking scheme based on improved prediction error expansion and histogram shifting. First, we use differential evolution algorithm to optimize prediction coefficients and then apply prediction error expansion to output stego data. …”
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