A new classification algorithm for low concentration slurry based on machine vision by Chuanzhen Wang, Xinyi Wang, Andile Khumalo, Fengcheng Jiang, Jintao Lv

“…Results from subsequent CNN model training, with 200 iterations, the accuracy on training and validation sets was demonstrated over 95% for coal slurry concentration prediction. Further evaluation using recall, precision, and F1-score revealed CNN network model metrics: maximum recall 1.000, minimum 0.800; maximum precision 1.000, minimum 0.700; and highest F1 score 1.000, lowest 0.778. …”
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A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation by Pengfei Xia, Biyan Chen, Ning Huang, Xin Xie, Qinglan Zhang

“…In addition, the model was successfully assimilated into the weather research and forecasting (WRF) model, significantly improving the accuracy of the initial atmospheric field for numerical weather prediction. This study demonstrates the potential of GNSS and surface meteorological data in constructing high-resolution, real-time PWV models. …”
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Electroacupuncture-Regulated miR-34a-3p/PDCD6 Axis Promotes Post-Spinal Cord Injury Recovery in Both In Vitro and In Vivo Settings by Lili Ma, Lizhong Ma, Yu Yang, Ting Chen, Limin Wang, Qilong Deng

“…In our study, based on bioinformatics prediction, we found that miR-34a-3p might be an upstream regulator miRNA for PDCD6, which was subsequently validated through combined utilization of the qRT-PCR, western blot, and dual-luciferase reporter system. …”
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Validity of the Actigraph-GT9X accelerometer for measuring steps and energy expenditures in heart failure patients. by Jisu Kim, Jonathan Kenyon, Hayley Billingsley, Natalie Bohmke, Syed Imran Ahmed, Hannah Salmons, Jung-Min Lee, Danielle Kirkman, Salvatore Carbone, Youngdeok Kim

“…AG-derived EE was estimated using six different prediction equations previously developed for waist-worn AG. …”
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Person Detection for an Orthogonally Placed Monocular Camera by Pavel Skrabanek, Petr Dolezel, Zdenek Nemec, Dominik Stursa

“…Exact numbers of passengers are important in areas such as public transport surveillance, passenger flow prediction, transport planning, and transport vehicle load monitoring. …”
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Comparison of Simulation- and Regression-Based Approaches to Estimating Electric Car Power Consumption by Emil Nagy, Árpád Török

“…The estimation of consumption data for these vehicles is still based on traditional techniques, namely, prediction from historical operation data. To overcome this problem, in this article, we have constructed a multi-element, model-based simulation for the purpose of implementing an energy consumption monitoring system. …”
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Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

“…As canopy density increased, the effectiveness of LST in predicting soil moisture decreased, underscoring the dynamic interaction between plant growth stages and moisture estimation accuracy.…”
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Action potential-like modes as modulated waves in an extended soliton model for biomembranes and nerves by J. A. Onana Inouga, S. E. Mkam Tchouobiap, M. Siewe Siewe, F. M. Moukam Kakmeni

“…Furthermore, a numerical analysis is performed, and consistent agreement with the analytical prediction is achieved, confirming a localized typical longitudinal single pulse-like solitary wave solution for the extended soliton model. …”
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Evaluating the resilience of the drug supply chain based on SWARA and CoCoSo multi criteria decision making approach with type 1 and interval type 2 fuzzy data (case study: Bojnord... by Fatemeh Bahman, Alireza Shahraki, Sayyid Ali Banihashemi

“…Due to linguistic uncertainty, the weighting of the criteria was done with the fuzzy SWARA decision-making method and the ranking of the options for more accurate evaluation was performed by the interval type-2 fuzzy CoCoSo method in Excel software.Findings: The identified criteria in order of importance are knowledge management, agility, readiness and prediction, management method, supply chain design and structure, visibility and control, adaptability, collaboration, complementarity, innovation, complexity management, flexibility, uncertainty in the number of changes, and integration. …”
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Evaluating 28-Days Performance of Rice Husk Ash Green Concrete under Compression Gleaned from Neural Networks by Sharanjit Singh, Harish Chandra Arora, Aman Kumar, Nishant Raj Kapoor, Kennedy C. Onyelowe, Krishna Kumar, Hardeep Singh Rai

“…ML-based prediction models are the modern solution to these problems. …”
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Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques:... by M. E. Alqaysi, A. S. Albahri, Rula A. Hamid

“…This category contains a subsection that consists of three categories: (a) early diagnosis of ASD towards analysis, (b) diagnosis of ASD towards prediction, and (c) diagnosis of ASD based on resampling techniques. …”
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Ultra-early indicators of acute hypertriglyceridemic pancreatitis may influence treatment decision-making by Jing Wu, Yizhi Liang, Xiaoting Tang, Zilan Rao, Chaowei Li, Xiaoping Pan, Taiyong Fang

“…Abstract This study aimed to explore whether ultra-early indicators can predict the severity of acute hypertriglyceridemic pancreatitis (HTGP) and guide clinical decisions. …”
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Short‐Term Memory and Regional Climate Drive City‐Scale Water Demand in the Contiguous US by Wenjin Hao, Andrea Cominola, Andrea Castelletti

“…Our model achieves an average R2 higher than 0.8 for one‐month‐ahead prediction of water demand across various cities, leveraging the Granger causal relationships in different spatial contexts. …”
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Genome-wide association study of the fatty liver index in the Taiwanese population reveals shared and population-specific genetic risk factors across ethnicities by Pei Pei Lau, Chun-Yu Wei, Min-Rou Lin, Wan-Hsuan Chou, Yu-Jui Yvonne Wan, Wei-Chiao Chang

“…These findings support the utility of the FLI for FLD prediction, provide new genetic insights, and reveal the common genetic pathways of FLD across two ethnic groups. …”
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Simulation of Daily Rainfall from Concurrent Meteorological Parameters over Core Monsoon Region of India: A Novel Approach by Utpal Misra, Atri Deshamukhya, Sanjay Sharma, Srimanta Pal

“…Nevertheless, the present approach can also be used for multistep prediction of rainfall.…”
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Disastrous Mechanism of Water Discharge in Abandoned Gob above the Stope in Mining Extra-Thick Coal Seam by Haixiao Lin, Feng Yang, Zhengzheng Cao, Yue Wang, Xiaojian Jiao

“…The research results provide a guided reference for the prediction and prevention of water discharge disaster in an abandoned gob above the stope in a mining extra-thick coal seam.…”
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Multiobjective Optimization of Surface Roughness and Tool Wear in High-Speed Milling of AA6061 by Machine Learning and NSGA-II by Anh-Tu Nguyen, Van-Hai Nguyen, Tien-Thinh Le, Nhu-Tung Nguyen

“…This work addresses the prediction and optimization of average surface roughness (Ra) and maximum flank wear (Vbmax) of 6061 aluminum alloy during high-speed milling. …”
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Application of the new ‘XU-line’ in the dynamic ultrasonographic evaluation of the spatial displacement of anterior cervical tissues for airway management: protocol for a prospecti... by Mao Xu, Yang Zhou, Yujie Wang, Mingfeng Mao, Wanrui Shi

“…Traditional predictors and imaging data may suggest a difficult airway, but these data have limited predictive value, with low sensitivity and specificity. …”
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Correlation between invasive and noninvasive oxygen indices in critically ill COVID patients with ARDS: A retrospective analysis by Arin Choudhury, Meena Singh, Amandeep Jaswal, Saurav Mitra Mustafi, Santvana Kohli

“…An evaluation was made to judge the efficacy of the SpO2/FiO2 ratio (S/F ratio) for the prediction of 100, 200, 300, and >300 mmHg cutoff values of PaO2/FiO2 ratio (P/F ratio) using receiver operating characteristic (ROC) curves. …”
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An Isothermal Sorption Model Based on the Flory-Huggins Theory: Application to Analyze Water Sorption of Wheat Flour by Wangming LI, Rongkun MA, Qingchao JIA, Na XU, Xinxin KONG, Xiaoxiao WEI

“…The results showed that the proposed model could give a good prediction of isothermal water sorption in wheat flour, with the Flory-Huggins interaction parameter χ ranging from 0.86 to 1.52 and the cross-linking density of polymer ranging from 3000 to 6400 mol/m3, which suggested that the model was reasonable. …”
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