Energy Scheduling of Hydrogen Hybrid UAV Based on Model Predictive Control and Deep Deterministic Policy Gradient Algorithm by Haitao Li, Chenyu Wang, Shufu Yuan, Hui Zhu, Bo Li, Yuexin Liu, Li Sun

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Predictive modeling to evaluate long-term treatment effectiveness of darvadstrocel in patients with complex perianal fistulas in Crohn’s disease by Chitra Karki, Gary Hantsbarger, Erika Turkstra, Elisabetta Fenu, Ken Genenz, Inmaculada Gilaberte, Julián Panés

“…Methods Data were pooled from a clinical trial (ADMIRE-CD) and two retrospective chart review studies (INSPECT and PREFACE). Predictive statistical models extrapolated clinical outcomes beyond observed follow-up using parametric curves, which were implemented into a semi-Markov model to obtain the number of patients in remission. …”
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Clean-Room Air Conditioning Control Based on Improved Min-Max Robust Model Predictive Control Algorithm by Qiang Luo, Ting Wang

“…The Min-Max robust model predictive control algorithm was 0.73 at the lowest and 4.3 at the highest. …”
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Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data. by Chunjie She, Hefeng Liu

“…The performance of the prediction model was assessed using various metrics, including the area under the receiver operating characteristic curve (AUC), calibration curve, the Hosmer-Lemeshow test, and decision curve analysis (DCA).…”
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Predictive model of the relationship between social support, body image perception, and physical activity among university students by Xuejiao Gao, Xiaolin Wang, Chen Soon Chee, Shamsulariffin bin Samsudin, Muhammad Zarif Hassan, Luhong Ma, Pan Liu, Yuming Zhang

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Development and Validation of Predictive Models for Inflammatory Bowel Disease Diagnosis: A Machine Learning and Nomogram-Based Approach by Dong R, Wang Y, Yao H, Chen T, Zhou Q, Zhao B, Xu J

“…Cohorts 1 and 2 were used to create predictive models. The parameters of the machine learning model established by Cohorts 1 and 2 were merged, and nomogram models were developed using Logistic regression. …”
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Modeling the Efficacy of Phosphine on Eggs of Major Stored-Product Insect Species: Investigating Strains with Varying Susceptibility Levels by Marina Gourgouta, Maria K. Sakka, Evmorfia P. Bataka, M. Carolin Götze, Christos T. Nakas, Christos G. Athanassiou

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A machine learning model for predicting obesity risk in patients with diabetes mellitus: analysis of NHANES 2007–2018 by Wenqiang Wang, Ruiqing Mo, Xingyu Chen, Sijie Yang

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Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation by Yimin Zhou, Xin Li, Zixiu Wang, Liqi Ng, Rong He, Chaozong Liu, Gang Liu, Xiao Fan, Xiaohong Mu, Yu Zhou, Yu Zhou

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The correlation between inflammatory markers and postoperative pulmonary infection in patients with aneurysmal subarachnoid hemorrhage and the construction of prediction model by Hongxiang Chen, Fangyu Yang, Yulong Zhao, Jiaming Liu, Yichun Tang, Shunyao Du, Zezheng Fan, Hongge Fan, Penglin Ren, Xu Gao

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High-speed train trajectory tracking based on event-triggered predictive control by JIN Wenbin, ZHANG Jiahui, YAO Bailing, SUN Pengfei, WANG Qingyuan

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Event-triggered predictive control of high-speed trains under virtual coupling by Jianliang Xu, Zhen Sui, Xiaohua Wei, Feng Xu

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Predicting Indian SME financial distress: an ex-ante approach by Sushma Rao, A. Satya Nandini, Minu Zachariah

“…Purpose – The purpose of this study is to propose a financial distress prediction (FDP) model and method suitable for listed Indian small and medium enterprises (SMEs). …”
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Speech Intelligibility Prediction Using Binaural Processing for Hearing Loss by Xiajie Zhou, Candy Olivia Mawalim, Masashi Unoki

Subjects: “…speech intelligibility prediction…”
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Method for predicting the reliability of applied software at the early stages of their development by S. M. Borovikov, S. S. Dick, N. K. Fomenko

“…To predict the expected reliability of the developed software applications, a method based on the use of the statistical model of the operability of software is proposed. …”
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Prediction of Lightweight AIS-Based Ship Trajectories with Spline Interpolation by Jiantao HU, Tianjiao LI, Hui LIU, Shuxin LI, Xu CHENG

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Estimation and prediction on the economic burden of schistosomiasis in 25 endemic countries by Xian-Fa Chen, Qin Li, Robert Bergquist, Jin-Xin Zheng, Su-Ying Guo, Qiu-Feng Lan, Zheng-Ze He, Li-Juan Zhang, Chun-Li Cao, Jing Xu, Xiao-Nong Zhou

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Research on HMM based link prediction method in heterogeneous network by Rong QIAN, Jianting XU, Kejun ZHANG, Hongyu DONG, Fangyuan XING

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Application of machine learning in predicting adolescent Internet behavioral addiction by Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang

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Understanding hydrological responses through LULC analysis and predictive modelling (MLPNN-MC Model): A study of Bandu Sub-watershed (India) over three decades by Sudipto Halder, Somnath Mandal, Zarkheen Mukhtar, Debdas Ray, Gupinath Bhandari, Suman Paul

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