Retracted: Predicting Course Grade through Comprehensive Modelling of Students’ Learning Behavioral Pattern by null Complexity

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Normalized difference vegetation index prediction using reservoir computing and pretrained language models by John Olamofe, Ram Ray, Xishuang Dong, Lijun Qian

Subjects: “…Temporal prediction…”
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Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization by Xue-Bo Jin, Hong-Xing Wang, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Jian-Lei Kong

“…The power load prediction is significant in a sustainable power system, which is the key to the energy system’s economic operation. …”
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Predicting mechanical properties of bainitic rail steels based on microstructure digitalization and machine learning by L.Q. Bai, Z.Y. Ding, J.L. Wang, Z.J. Xie, Z.N. Yang, C.J. Shang

“…All predicted values were within the error range of experimental measured values. …”
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The Health Index Prediction Model and Application of PCP in CBM Wells Based on Deep Learning by Chaodong Tan, Song Wang, Hanwen Deng, Guoqing Han, Guanghao Du, Wenrong Song, Xiongying Zhang

“…Aiming at the problems of the current production and operation status of the progressive cavity pump (PCP) in coalbed methane (CBM) wells which cannot be timely monitored, quantitatively evaluated, and accurately predicted, a five-step method for evaluating and predicting the health status of PCP wells is proposed: data preprocessing, principal parameter optimization, health index construction, health degree division, and health index prediction. …”
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Field-Obtained Soil-Water Characteristic Curves of KPK Expansive Soil and Their Prediction Correlations by Bakht Zamin, Hassan Nasir, Khalid Mehmood, Qaiser Iqbal

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Potential Biomarkers for Predicting the Risk of Developing Into Long COVID After COVID‐19 Infection by Zhiyong Hou, Yu Ming, Jun Liu, Zhong Wang

“…The predicting performance of the potential biomarkers was quantified with a ROC value of 0.8762542, which proved the combination of potential biomarkers provided the highest performance. …”
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Patient Factors Predicting Weight Loss after Roux-en-Y Gastric Bypass by Linda Sillén, Ellen Andersson

“…The purpose of this study was to identify preoperative factors predicting weight loss following Roux-en-Y gastric bypass (RYGB) surgery. …”
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Improving machine learning predictions to estimate fishing effort using vessel's tracking data by J. Samarão, A. Moreno, M.B. Gaspar, M.M. Rufino

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Analysis and Prediction of Body Test Results Based on Improved Backpropagation Neural Network Algorithm by Zhanju Ma, Yao Wang

“…Using the relevant data of college students’ physical fitness test and sports performance as the object of research, a BP neural network model is developed to predict performance. Based on BP neural network, an algorithm for predicting students’ endurance performance is proposed, which is applied to the sunshine long-distance intelligent sports testing system at Hangzhou Dianzi University. …”
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Solar GHI Ensemble Prediction Based on a Meteorological Model and Method Kalman Filter by Yuanyuan Liu

“…Also, this ensemble prediction provides an estimation of the solar global horizontal irradiance uncertainty (i.e., coverage rate of the prediction interval), which can be useful to provide flexible energy production forecasts. …”
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Highway Travel Time Prediction of Segments Based on ANPR Data considering Traffic Diversion by Wenjun Du, Bo Sun, Jiating Kuai, Jiemin Xie, Jie Yu, Tuo Sun

“…The experimental results indicate that LSTM-CNN learns spatial, temporal, and depth information better than the state-of-the-art traffic forecasting models, so LSTM-CNN can predict more accurate travel time. Moreover, LSTM-CNN outperforms the state-of-the-art methods in nonrecurrent prediction, multistep-ahead prediction, and long-term prediction. …”
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An Artificial Intelligence Mechanism for the Prediction of Signal Strength in Drones to IoT Devices in Smart Cities by Mohamad Reda A. Refaai, Vinjamuri S. N. C. H. Dattu, H. S. Niranjana Murthy, P. Pramod Kumar, B. Kannadasan, Abdi Diriba

“…Predicting signal power and fading channel circumstances enables the adaptable transmission of data, which improves QoS for endpoint users/devices while lowering transmitting data power usage. …”
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Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis by Shahd M. Noman, Youssef M. Fadel, Mayar T. Henedak, Nada A. Attia, Malak Essam, Sarah Elmaasarawii, Fayrouz A. Fouad, Esraa G. Eltasawi, Walid Al-Atabany

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Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines by Santosh Kumar Nanda, Debi Prasad Tripathy

“…Functional link-based neural network models were applied to predict opencast mining machineries noise. The paper analyzes the prediction capabilities of functional link neural network based noise prediction models vis-à-vis existing statistical models. …”
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A risk prediction score to identify patients at low risk for COVID-19 infection by Wui Mei Chew, Chee Hong Loh, Aditi Jalali, Grace Shi En Fong, Loshini Senthil Kumar, Rachel Hui Zhen Sim, Russell Pinxue Tan, Sunil Ravinder Gill, Trilene Ruiting Liang, Jansen Meng Kwang Koh, Tunn Ren Tay

“…The derived prediction models were subsequently validated on a test cohort. …”
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Research on Precision Cultivation of Digital Multimedia Crop Based on Predictive Computational Intelligence Technology by Yuke Lin, Ying Zhang

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Serum IL-18 Is a Potential Biomarker for Predicting Severe Dengue Disease Progression by Josephine Diony Nanda, Chiau-Jing Jung, Rahmat Dani Satria, Ming-Kai Jhan, Ting-Jing Shen, Po-Chun Tseng, Yung-Ting Wang, Tzong-Shiann Ho, Chiou-Feng Lin

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Application of Conversational AI Models in Decision Making for Clinical Periodontology: Analysis and Predictive Modeling by Albert Camlet, Aida Kusiak, Dariusz Świetlik

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Accuracy and Prediction of Hopperburn by Brown Planthopper (Nilaparvata Lugens Stal) with Sentinel-2 Images by Rahmad Gunawan, Reflinaldon Reflinaldon, Yaherwandi Yaherwandi

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