Comparison of Machine Learning Algorithms for the Prediction of Mechanical Stress in Three-Phase Power Transformer Winding Conductors by Fausto Valencia, Hugo Arcos, Franklin Quilumba

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Predicting cadmium enrichment in crops/vegetables and identifying the effects of soil factors based on transfer learning methods by Rui Chen, Zean Liu, Jingyan Yang, Tiantian Ma, Aihong Guo, Rongguang Shi

“…The best feature combination of prediction results was found by feature optimization. …”
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Modeling pegcetacoplan treatment effect for atrophic age-related macular degeneration with AI-based progression prediction by Irmela Mantel, Romina M. Lasagni Vitar, Sandro De Zanet

Subjects: “…Deep learning-based RORA progression prediction…”
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Best Prediction Method for Progressive Type-II Censored Samples under New Pareto Model with Applications by Hanan Haj Ahmad

“…This paper describes two prediction methods for predicting the non-observed (censored) units under progressive Type-II censored samples. …”
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Improving predictability of IgE-high type 2 chronic sinusitis with nasal polyps in the biologic era by Austin Heffernan, Jobanjit Phulka, Andrew Thamboo

“…Among the top 3 models, the best model had sensitivity, specificity, positive predictive value and negative predictive values of 82.1, 69.2, 80.0, and 72.0. …”
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Identification of a Novel PPAR Signature for Predicting Prognosis, Immune Microenvironment, and Chemotherapy Response in Bladder Cancer by Ke Zhu, Wen Deng, Hui Deng, Xiaoqiang Liu, Gongxian Wang, Bin Fu

“…A nomogram was constructed to predict the outcomes of BLCA patients in combination with PPAR signature and clinical factors. …”
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Machine Learning as a Downscaling Approach for Prediction of Wind Characteristics under Future Climate Change Scenarios by Abbas Yeganeh-Bakhtiary, Hossein EyvazOghli, Naser Shabakhty, Bahareh Kamranzad, Soroush Abolfathi

“…All the proposed models showed firm outputs in the training section. Predictions from the monthly model with a 70/30 training to test ratio demonstrated the best model performance. …”
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Enhancing safety in CT-guided lung biopsies: correlation of MinIP imaging with pneumothorax risk prediction by Michael P. Brönnimann, Leonie Manser, Bernhard Gebauer, Timo A. Auer, Dirk Schnapauff, Federico Collettini, Alexander Pöllinger, Alois Komarek, Miltiadis E. Krokidis, Johannes T. Heverhagen

“…Abstract Objectives This study aimed to evaluate whether minimum-intensity projection (MinIP) images could predict complications in CT-guided lung biopsies. …”
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Defective homologous recombination and genomic instability predict increased responsiveness to carbon ion radiotherapy in pancreatic cancer by Brock J. Sishc, Janapriya Saha, Elizabeth M. Alves, Lianghao Ding, Huiming Lu, Shih-Ya Wang, Katy L. Swancutt, James H. Nicholson, Angelica Facoetti, Arnold Pompos, Mario Ciocca, Todd A. Aguilera, Michael D. Story, Anthony J. Davis

“…This study aimed to identify patient characteristics predictive of CIRT response. We utilized a panel of human PDAC cell lines with diverse genetic profiles to determine their sensitivity to CIRT compared to γ-rays, assessing relative biological effectiveness (RBE) at 10% survival, which ranged from 1.96 to 3.04. …”
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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

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Plant MicroRNA Prediction by Supervised Machine Learning Using C5.0 Decision Trees by Philip H. Williams, Rod Eyles, Georg Weiller

“…A miRNA-predictive decision-tree model has been developed by supervised machine learning. …”
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Strength prediction and failure mode classification for SRC shear beams using GA-BP ANN method by Gangfeng Yao, Bingyi Li

“…For the steel reinforced concrete (SRC) beam, accurately predicting its shear behavior can be quite challenging. …”
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Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols by Shoji Taniguchi, Toshihiro Sakamoto, Haruki Nakamura, Yasunori Nonoue, Di Guan, Akari Fukuda, Hirofumi Fukuda, Kaede C. Wada, Takuro Ishii, Jun-Ichi Yonemaru, Daisuke Ogawa

“…The CIg parameters were also effective for predicting DTH and SLW, and could also be used to predict panicle weight (PW). …”
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Time-Series Load Online Prediction of Wind Turbine Based on Adaptive Multisource Operational Data Fusion by Ruojin Wang, Xiaodong Wang, Deyi Fu, Bin Yang, Yingming Liu

“…In order to reduce the influence of original data completeness on load prediction, the deviation degree of load prediction of RF and WTS is analyzed. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

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Volatility Risk Premium, Return Predictability, and ESG Sentiment: Evidence from China’s Spots and Options’ Markets by Zhaohua Liu, Susheng Wang, Siyi Liu, Haixu Yu, He Wang

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Predictive Modeling of Fracture Behavior in Ti6Al4V Alloys Manufactured by SLM Process by Mohsen Sarparast, Majid Shafaie, Mohammad Davoodi, Ahmad Memaran Babakan, Hongyan Zhang

“… This study focuses on ductile fracture behavior prediction for Ti6Al4V alloys fabricated via Selective Laser Melting (SLM). …”
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Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining by Xiangong Li, Yuzhi Zhang, Yu Li, Yujie Zhan, Lin Yang

“…To deal with the problem of weak prediction and performance evaluation capabilities of traditional prediction and evaluation methods, a method of health state prediction and performance evaluation of belt conveyor based on Dynamic Bayesian Network (DBN) is proposed. …”
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Systemic Inflammatory Markers for Predicting Overall Survival in Patients with Osteosarcoma: A Systematic Review and Meta-Analysis by Xiaotong Song, Hao Zhang, Fanxing Yin, Panpan Guo, Xiaocheng Yang, Jinzhu Liu, Yanshuo Han, Zhaozhou Ren

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Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method by Abhijeet Sahu, Truc Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly

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