Predicting online shopping addiction: a decision tree model analysis by Xueli Wan, Jie Zeng, Ling Zhang

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Study on Application of Grey Prediction Model in Superalloy MAR-247 Machining by Chen Shao-Hsien

“…Moreover, with the superalloy machining parameters of the current effective application improved grey prediction model, it can decrease the errors, extend the tool life, and improve the prediction precision of surface accuracy.…”
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A Novel Short-Range Prediction Model for Railway Track Irregularity by Peng Xu, Rengkui Liu, Quanxin Sun, Futian Wang

“…In this paper, based on track irregularity evolution characteristics, a Short-Range Prediction Model was developed to this aim and is abbreviated to TI-SRPM. …”
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Development and Validation of a Dynamic Prediction Model for Massive Hemorrhage in Trauma by Chengyu Guo, Maolin Tian, Minghui Gong, Fei Pan, Hui Han, Chunping Li, Tanshi Li

“…This study aimed to develop and validate dynamic prediction models for massive hemorrhage in trauma patients. …”
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SevPredict: Exploring the Potential of Large Language Models in Software Maintenance by Muhammad Ali Arshad, Adnan Riaz, Rubia Fatima, Affan Yasin

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Regional Ecological Environment Quality Prediction Based on Multi-Model Fusion by Yiquan Song, Zhengwei Li, Baoquan Wei

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Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction by Nor Irwin Basir, Kathlyn Kaiyun Tan, Danny Hartanto Djarum, Zainal Ahmad, Dai-Viet N. Vo, Zhang Jie

“…The findings confirm that both autoencoder models enhance API prediction accuracy, with the deep sparse autoencoder emerging as the optimal model, highlighting the potential of deep learning in improving air quality prediction. …”
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Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

Subjects: “…coronary disease|machine learning|risk prediction model|logistic regression|k-nearest neighbor|support vector machine|decision tree|xgboost…”
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A diagnostic prediction model for cardiovascular diseases (CVDs) in patients with psoriasis by Xiao-Yang Guo, Guo-Hua Xue, Yue-Min Zou, Jia-Qi Chen, Shi Chen, Dong-Mei Zhou

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Prognostic predictions in psychosis: exploring the complementary role of machine learning models by Metten Somers, Hugo G Schnack, Rene S Kahn, Diane F van Rappard, Frank L Gerritse, Edwin van Dellen, Violet van Dee, Seyed M Kia, Caterina Fregosi, Wilma E Swildens, Anne Alkema, Albert Batalla, Coen van den Berg, Danko Coric, Lotte G Dijkstra, Arthur van den Doel, Livia S Dominicus, John Enterman, Marte Z van der Horst, Fedor van Houwelingen, Charlotte S Koch, Lisanne E M Koomen, Marjan Kromkamp, Michelle Lancee, Brian E Mouthaan, Eline J Regeer, Raymond W J Salet, Jorgen Straalman, Marjolein H T de Vette, Judith Voogt, Inge Winter-van Rossum, Wiepke Cahn

“…However, psychiatrists struggled to recognise when to rely on the model’s output, and we were unable to determine a clear pattern in these cases based on their characteristics.Conclusions MLMs may have the potential to support psychiatric decision-making, particularly in difficult-to-predict cases, but at present, their effectiveness remains limited due to constraints in predictive accuracy and the ability to identify when to rely on the model’s output. …”
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Improve the Initial Π Hidden Markov Model to Predict the Battery Health by YAN Jing-bin, WANG Fei, XIA Sai

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Storage Life Prediction Based on Kernel Path Classification and Estimation Model by PAN Yuxiong, ZHOU Guifa, WANG Xu

Subjects: “…storage life prediction…”
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Study on Operating Temperature Prediction Model of Aero High-speed Gears by Chen Yuling, Zhu Jiazan, Chen Taimin, Zhu Caichao, Wei Peitang, Xu Yongqiang

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Construction of risk prediction model for dysphagia in hospitalized elderly patients with frailty by Yuzhu Lin, Chen Xu, Xue Song, Qin Tan, Xiaolei Lian

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The reporting quality and methodological quality of dynamic prediction models for cancer prognosis by Peijing Yan, Zhengxing Xu, Xu Hui, Xiajing Chu, Yizhuo Chen, Chao Yang, Shixi Xu, Huijie Cui, Li Zhang, Wenqiang Zhang, Liqun Wang, Yanqiu Zou, Yan Ren, Jiaqiang Liao, Qin Zhang, Kehu Yang, Ling Zhang, Yunjie Liu, Jiayuan Li, Chunxia Yang, Yuqin Yao, Zhenmi Liu, Xia Jiang, Ben Zhang

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Hydraulic Erosion Rate of Reinforced Tailings: Laboratory Investigation and Prediction Model by Xuanyi Chen, Xiaofei Jing, Hai Cai, Yijun Wang, Luhua Ye

“…This model can provide a reference for the prediction of overtopping-induced erosion failure of the reinforced tailings dam.…”
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Attack scenarios reasoning,hypothesizing and predicting based on capability transition model by TIAN Zhi-hong1, ZHANG Wei-zhe1, ZHANG Yong-zheng2, ZHANG Hong-li 1, LI Yang2, JIANG Wei1

“…To construct attack scenarios and predict intrusion intents automatically,a real-time alert correlation approach based on capability transition model was proposed.By highly abstracting the reasoning evidences,the process complexity is effectively reduced.Experiment results on the DARPA2000 IDS test dataset indicate that the method is effective and efficient.…”
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Predicting the Time-dependent Mechanics of Concrete Based on a Multiscale Model by Shijun Wang, Changqing Du, Mingqing Gu, Chunlin Pan, Teng Tong

“…To accurately predict the time-dependent deformation of concrete, a multiscale model with its focus pinned on mesoscale is proposed here to break down the constitutive law of concrete to the mechanics of its different constituent phases. …”
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Prediction Model of Music Popular Trend Based on NNS and DM Technology by Yichen Xu, Mingxun Wang, Hao Chen, Fan Hu

“…Therefore, it can be proved that the model proposed in this paper is more suitable for predicting the trend of music popularity. …”
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LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

“…In this work, a long short-term memory (LSTM)-based model, LSTM+MA, is proposed to predict the IRI of pavements using the time-series data extracted from the long-term pavement performance (LTPP) dataset. …”
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