Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings by Mosbeh R. Kaloop, Abidhan Bardhan, Pijush Samui, Jong Wan Hu, Mohamed Elsharawy

“…However, its promising results, more work is still required towards achieving the full analytical prediction of wind effects on structures. This study investigates the use of different soft-computing techniques in predicting wind pressures on tall buildings. …”
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IoT and AI-Based Predictive Maintenance System Design for Express Auto Repair Shops by Johnny Heredia, Edy Ayala

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A New Uncertain Analysis Method for the Prediction of Acoustic Field with Random and Interval Parameters by Mingjie Wang, Zhimin Wan, Qibai Huang

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The role of the neutrophil-to-lymphocyte ratio in predicting outcomes among patients with community-acquired pneumonia by Yogesh Sharma, Campbell Thompson, Angelo Zinellu, Rashmi Shahi, Chris Horwood, Arduino A. Mangoni

“…This study evaluated whether NLR independently predicts clinical outcomes and enhances the predictive performance of the CURB-65 score in patients with CAP. …”
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Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks by Anping Zha, Jianjun Tu

“…Therefore, according to the availability of realistic data, this paper establishes a deep neural network prediction model for the collaborative development of ports and uses various port logistics indicators to predict the economic development trend, so as to realize a nonlinear mapping relationship between the level of port economic development and the side of port logistics demand. …”
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Experimental Study and Life Prediction of Bolt Loosening Life under Variable Amplitude Vibration by Guangwu Yang, Chengjian Che, Shoune Xiao, Bing Yang, Tao Zhu, Shilin Jiang

“…Therefore, the bolt loosening life can be predicted through bolt displacement-loosening life (D-N) curve attained from the experiment and the established linear accumulation model of bolt loosening.…”
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Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? by Avnesh Kumar Singh, Shikha Singh

“…Dear Editor, We read with great interest the article entitled “Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? …”
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Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns by Khaled Megahed

“…The results highlight the C-SR model’s effectiveness in providing reliable predictions and valuable insights for practical engineering applications.…”
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Predicting Visual Outcomes for Macula-Off Rhegmatogenous Retinal Detachment with Optical Coherence Tomography by Noriyuki Suzuki, Hiroshi Kunikata, Naoko Aizawa, Toshiaki Abe, Toru Nakazawa

“…We evaluated the ability of novel optical coherence tomography (OCT) parameters to predict postoperative best-corrected visual acuity (BCVA) in macula-off rhegmatogenous retinal detachment (RRD) eyes. …”
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Loop quantum effects on direct detection prediction in two-scalar dark matter scenario by Karim Ghorbani, Parsa Ghorbani

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Predicting Flash Point of Organosilicon Compounds Using Quantitative Structure Activity Relationship Approach by Chen-Peng Chen, Chan-Cheng Chen, Hsu-Fang Chen

“…The average fitting error and the average predictive error were found to be of 10.34 K and 11.22 K, respectively, and the average fitting error in percentage and the average predictive error in percentage were found to be of 3.30 and 3.60%, respectively. …”
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A systematic review of machine learning applications in predicting opioid associated adverse events by Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David A. Jenkins, Meghna Jani

“…Abstract Machine learning has increasingly been applied to predict opioid-related harms due to its ability to handle complex interactions and generating actionable predictions. …”
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Strain Prediction of Grain in Solid Rocket Motor under the Pressure Curing Molding Technology by Kaining Zhang, Chunguang Wang, Qun Li, Zhenyu Guo

“…The accuracy of the prediction function is verified through finite element analysis. …”
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Integrating Machine Learning for Predictive Maintenance on Resource-Constrained PLCs: A Feasibility Study by Riccardo Mennilli, Luigi Mazza, Andrea Mura

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Analytical Prediction of Hole Diameter in Thin Plates Due to Hypervelocity Impact of Spherical Projectiles by William H. Jolly, William P. Schonberg

“…One-dimensional shock theory is used to predict the creation and attenuation of Hugoniot pressures along the plate surface. …”
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Non-modifiable and Modifiable Risk Factors in Vascular Ageing Extremes: The African-PREDICT Study by Donavan Rooi, Ruan Kruger, Esmé Jansen van Vuren, Yolandi Breet

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Improving and Predicting Outcomes of Traumatic Brain Injury: Neuroplasticity, Imaging Modalities, and Perspective Therapy by Chih-Lung Lin, Aaron S. Dumont, John H. Zhang, Mario Zuccarello, Cheng-Sheng Chen

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Monitoring of ball bearings via vibration analysis and envelope technique for predictive maintenance purposes by Adiel Pessoa, Paulo Cezar Büchner

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An Alternating Variable Step-Size Adaptive Long-Range Prediction of LMS Fading Signals by Xi Liao, Rui Xue, Dan-feng Zhao, Yang Wang

“…We propose a linear alternating variable step-size adaptive long-range prediction (AVSS-ALRP) scheme to predict fading signals which is especially suitable for a versatile two-state land mobile satellite (LMS) channel model at S-band. …”
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FishPi: a bioinformatic prediction tool to link piRNA and transposable elements by Alice M. Godden, Benjamin Rix, Simone Immler

“…Results We developed FishPi to predict the pairings between piRNA and TEs for available genomes from zebrafish, medaka and tilapia, with full user customisation of parameters including orientation of piRNA, mismatches in the piRNA seed binding to TE and scored output lists of piRNA-TE matches. …”
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