Identification of Hypoxia Signature to Assess the Tumor Immune Microenvironment and Predict Prognosis in Patients with Ovarian Cancer by Chunyan Wei, Xiaoqing Liu, Qin Wang, Qipei Li, Min Xie

“…This study aimed at establishing the hypoxia-associated gene signature to assess tumor immune microenvironment and predicting the prognosis of OC. Methods. The gene expression data of 378 OC patients and 370 OC patients were downloaded from datasets. …”
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Examine the Prediction Error of Ride-Hailing Travel Demands with Various Ignored Sparse Demand Effects by Zhiju Chen, Kai Liu, Tao Feng

“…The accurate short-term travel demand predictions of ride-hailing orders can promote the optimal dispatching of vehicles in space and time, which is the crucial issue to achieve sustainable development of such dynamic demand-responsive service. …”
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Fast Model Predictive Control Method for Large-Scale Structural Dynamic Systems: Computational Aspects by Haijun Peng, Qiang Gao, Zhigang Wu, Wanxie Zhong

“…A fast and accurate model predictive control method is presented for dynamic systems representing large-scale structures. …”
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Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning by Stefanie Steinbach, Anna Bartels, Andreas Rienow, Bartholomew Thiong’o Kuria, Sander Jaap Zwart, Andrew Nelson

“…Our results suggest that short- and longer-term turbidity prediction can inform reservoir siting and management. …”
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On-Pump FIBTEM-A5 Accurately Predicts the A5 Values After Protamine Administration by Stanislaw Vander Zwaag, Matus Tomko, Tomas Madej, Jens Fassl

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An Uncertainty-Aware Lane Change Motion Planning Algorithm Based on Probabilistic Trajectory Prediction Distribution by Zhiqiang Zhang, Lei Zhang, Mingqiang Wang, Cong Wang, Zhenpo Wang

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Cell Differentiation Trajectory Predicts Prognosis and Immunotherapeutic Response in Clear Cell Renal Cell Carcinoma by Jin Xu, Xi Chen, Yinyu Chen, Qiushuang Wang, Yingliang Jin, Huashuo Zhao

“…Based on machine learning, we identified a prognostic risk model composed of 14 DRGs, including BTG2, CDKN1A, COL6A1, CPM, CYB5D2, FOSB, ID2, ISG15, PLCG2, SECISBP2, SOCS3, TES, ZBTB16, and ZNF704, to predict the survival rate of patients and then constructed a nomogram model integrating clinicopathological characteristics and risk score for clinical practice. …”
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LSTM-Based Time Series Prediction Model: A Case Study with YFinance Stock Data by Yu Yimiao

“…However, the model exhibits poor performance in predicting high-frequency fluctuations, with an R2 of only -0.1, indicating a weak ability to capture high-frequency volatility.…”
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Wind speed prediction model based on multiscale temporal‐preserving embedding broad learning system by Jiayi Qiu, Yatao Shen, Ziwen Gu, Zijian Wang, Wenmei Li, Ziqian Tao, Ziwen Guo, Yaqun Jiang, Chun Huang

“…Abstract The inherent randomness and intermittent nature of wind speed fluctuations pose significant challenges in accurately predicting future wind speeds. To address this complexity, a wind speed prediction model based on a multiscale temporal‐preserving embedding broad learning system (MTPE‐BLS) is proposed. …”
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Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network by Chen Yang, Zhaohong Wang, Lihui Zheng, Dengtian Mao

“…A back-propagation artificial neutral network model is built based on 220 groups of PVT experimental data to predict the equivalent static density versus depth for fuzzy ball drilling fluid which is a kind of gas-liquid two-phase material. …”
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Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis by Shital Hajare, Rajendra Rewatkar, K.T.V. Reddy

“…The proposed model exhibits a superior predictive proficiency, as evidenced by significant improvements in precision, accuracy, recall, and reduced prediction delay compared to the existing approaches. …”
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Nomograms for Predicting High Hospitalization Costs and Prolonged Stay among Hospitalized Patients with pAECOPD by Nafeisa Dilixiati, Mengyu Lian, Ziliang Hou, Jie Song, Jingjing Yang, Ruiyan Lin, Jinxiang Wang

“…The calibration plot and DCA curve indicated the model had good predictive performance. We developed and validated two nomograms for predicting high hospitalization costs and prolonged stay, respectively, among hospitalized patients with pAECOPD. …”
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An assessment of circulating biomarkers and germline genetic variants in predicting chemotherapy associated mucositis in Ewing sarcoma by Pawan Gulati, Vickyanne Carruthers, Claire Hutton, Chloe Cassidy, Edward B. Amankwatia, Séréna Pascual, Electra Florence, Tsegay G. Gebru, Andrea L. Jorgensen, Alastair Greystoke, Guy Makin, Martin G. McCabe, Daniel B. Hawcutt, Gareth J. Veal, David Jamieson

“…Here we investigated the role of circulating biomarkers and genetic factors in predicting mucositis severity in Ewing sarcoma. Methods: Blood samples were collected from 111 Ewing sarcoma patients during treatment. …”
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Developing a Robust Model Based on the Gaussian Process Regression Approach to Predict Biodiesel Properties by Inna Pustokhina, Amir Seraj, Hafsan Hafsan, Seyed Mojtaba Mostafavi, S. M. Alizadeh

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Lithium Battery Life Prediction for Electric Vehicles Using Enhanced TCN and SVN Quantile Regression by Xinyue Li, Jiangwei Chu

“…In addition, the minimum difference in temperature prediction of battery charging under this model is close to 0.2°C, the minimum difference in temperature prediction during discharge is 0.3°C, and the battery capacity fidelity test findings’ average value is 91.08%. …”
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Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy by Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, Saeed Ahmed, Pramote Chumnanpuen

“…To date, a few machine learning-based models have been proposed for predicting TIPs, but their predictive performance remains unsatisfactory. …”
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Prediction of Bench Blasting Vibration on Slope and Safety Threshold of Blasting Vibration Velocity to Undercrossing Tunnel by Li He, Dongwang Zhong, Yihe Liu, Kun Song

“…The vibration response characteristics of the rock surrounding the slope and tunnel are analyzed, and a mathematical prediction model for the peak particle velocity (PPV) with consideration of the influence of the relative slope gradient (H/D) is established based on dimension analysis theory, which improves the prediction accuracy of PPV at the slope surface. …”
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Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features by Emmanuel Adetiba, Oludayo O. Olugbara

“…This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their “nonensemble” variants for lung cancer prediction. These machine learning classifiers were trained to predict lung cancer using samples of patient nucleotides with mutations in the epidermal growth factor receptor, Kirsten rat sarcoma viral oncogene, and tumor suppressor p53 genomes collected as biomarkers from the IGDB.NSCLC corpus. …”
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Prediction of Conductive Anomalies Ahead of the Tunnel by the 3D-Resitivity Forward Modeling in the Whole Space by Daiming Hu, Bülent Tezkan, Mingxin Yue, Xiaodong Yang, Xiaoping Wu, Guanqun Zhou

“…We developed a predicted model algorithm by considering the tunnel effect for forward-probing in tunnels. …”
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A Systematic Review of Greenhouse Humidity Prediction and Control Models Using Fuzzy Inference Systems by Sebastian-Camilo Vanegas-Ayala, Julio Barón-Velandia, Daniel-David Leal-Lara

“…Cultivating in greenhouses constitutes a fundamental tool for the development of high-quality crops with a high degree of profitability. Prediction and control models guarantee the correct management of environment variables, for which fuzzy inference systems have been successfully implemented. …”
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