A Novel Method for Functional Annotation Prediction Based on Combination of Classification Methods by Jaehee Jung, Heung Ki Lee, Gangman Yi

“…Automated protein function prediction defines the designation of functions of unknown protein functions by using computational methods. …”
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Deep Learning-Based Energy Consumption Prediction Model for Green Industrial Parks by Chaoan Lai, Yina Wang, Jianhua Zhu, Xuequan Zhou

“…The model shows a closer fit to the original series trend and more accurate predictions at extreme points, aligning more closely with actual values.…”
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Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors by Seo Janghoon, Park Jung Yoon, Ma Juhwan, Kim Young Bu, Park Dong-Woo

“…This study investigates the prediction of the aerodynamic characteristics of Flettner rotors through three deep learning models. …”
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Performance Evaluation of an Air-Conditioning Compressor Part II: Volute Flow Predictions by Yu-Tai Lee, Thomas W. Bein

“…Experiments were performed to simulate both the cutwater conditions used in the predictions. Surface pressures along the outer wall and near the inlet of the volute were surveyed for comparisons with the predictions. …”
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A CD36-based prediction model for sepsis-induced myocardial injury by Yun Xie, Hui Lv, Daonan Chen, Peijie Huang, Zhigang Zhou, Ruilan Wang

“…This study aims to develop a predictive model for SIMI using plasma CD36 levels. …”
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Using the Cardiac–Electrophysiological Balance Index to Predict Arrhythmia Risk After Colonoscopy by Seyit Ali Volkan Polatkan, Seyda Gunay-Polatkan, Ozgen Isik, Deniz Sigirli

“…This study aimed to assess the index of cardiac–electrophysiological balance (iCEB) to predict ventricular arrhythmia risk related to colonoscopy. …”
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An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes by Guoxing Li, Tie Wang, Ruiliang Zhang, Fengshou Gu, Jinxian Shen

“…The prediction of optimal slip ratio is crucial to vehicle control systems. …”
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The diagnostic accuracy of umbilical cord procalcitonin in predicting early-onset neonatal infection. by Thi Thanh Binh Nguyen, Diep Anh Truong Thi, Quang Vinh Truong, Thi Ny Pham

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Prediction of Length of Stay After Colorectal Surgery Using Intraoperative Risk Factors by Daitlin Esmee Huisman, MD, Erik Wouter Ingwersen, MD, Joanna Luttikhold, MD, PhD, Gerrit Dirk Slooter, MD, PhD, Geert Kazemier, MD, PhD, Freek Daams, MD, PhD, LekCheck Study Group, Audrey Jongen, Carlo V. Feo, Simone Targa, Hidde M. Kroon, Emmanuel A. G. L. Lagae, Aalbert K. Talsma, Johannes A. Wegdam, Bob van Wely, Dirk J. A. Sonneveld, Sanne C. Veltkamp, Emiel G. G. Verdaasdonk, Rudi M. H. Roumen, Freek Daams

“…The primary objective of this study was to develop a length of stay (LOS) prediction model. Background:. Predicting the LOS is crucial for patient care, planning, managing expectations, and optimizing hospital resources. …”
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Prediction of Frequency for Simulation of Asphalt Mix Fatigue Tests Using MARS and ANN by Ali Reza Ghanizadeh, Mansour Fakhri

“…This paper introduces two methods for predicting the loading frequency in laboratory asphalt fatigue tests for better simulation of field conditions. …”
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Positional embeddings and zero-shot learning using BERT for molecular-property prediction by Medard Edmund Mswahili, JunHa Hwang, Jagath C. Rajapakse, Kyuri Jo, Young-Seob Jeong

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An analytical study for predicting incipient motion velocity of sediments under ice cover by Hongchun Luo, Honglan Ji, Zijian Chen, Bin Liu, Zhongshu Xue, Zhijun Li

“…Abstract This study investigates the critical impact of incipient sediment motion on sediment transport estimation and riverbed evolution prediction. In this research, we examine the effects of ice cover on the vertical distribution of flow velocity, establishing a mathematical relationship between the vertical average flow velocities in open channel and ice-covered flows. …”
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A Partial Robust M-Regression-Based Prediction and Fault Detection Method by Jianfang Jiao, Jingxin Zhang, Hamid Reza Karimi

“…Moreover, to eliminate the useless variations for prediction, an orthogonal decomposition is performed on the measurable variables space so as to allow the new method to serve as a powerful tool for quality-related prediction and fault detection. …”
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JSTC: Travel Time Prediction with a Joint Spatial-Temporal Correlation Mechanism by Alfateh M. Tag Elsir, Alkilane Khaled, Pengfei Wang, Yanming Shen

“…Accurate travel time prediction is one of the most promising intelligent transportation system (ITS) services, which can greatly support route planning, ride-sharing, navigation applications, and effective traffic management. …”
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The role of moral identity in predicting academic adjustment and academic self-efficacy of students by Afsaneh Moradi, Hossein Jenaabadi, Aboosaied Davarpanah

“…This research was conducted with the aim of determining the role of moral identity in predicting academic adjustment and academic self-efficacy of students. …”
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Predicting Course Grade through Comprehensive Modelling of Students’ Learning Behavioral Pattern by Danial Hooshyar, Yeongwook Yang

“…While modelling students’ learning behavior or preferences has been found as a crucial indicator for their course achievement, very few studies have considered it in predicting achievement of students in online courses. …”
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Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction by Mohammed Abufouda

“…Additionally, the contributed prediction framework showed satisfactorily prediction results compared to a baseline predictor. …”
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Passenger Flow Prediction of Subway Transfer Stations Based on Nonparametric Regression Model by Yujuan Sun, Guanghou Zhang, Huanhuan Yin

“…Thus, based on nonparametric regression theory, a transfer passenger flow prediction model was proposed. In order to test and illustrate the prediction model, data of transfer passenger flow for one month in XIDAN transfer station were used to calibrate and validate the model. …”
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A New Nomogram to Predict the Success of Shock Wave Lithotripsy in Ureteral Stones by Muhammed Fatih Simsekoglu, Engin Derekoylu, Mustafa Ozkaya, Muhammet Demirbilek, Ugur Aferin, Berin Selcuk, Ahmet Erozenci, Bulent Onal

“…To design a new nomogram predicting the probability of stone-free status of shock wave lithotripsy (SWL) in patients with ureteral stones. …”
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Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction by Chao Wang, Ruogu Wang, Yuhan Lin, Jiafei Zhang, Xiaofei Xie, Zidan Zhao, Yunlin Xu

“…Horizontal well production prediction is crucial for the efficient development of tight reservoirs. …”
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