Space-Time Distribution Laws of Tunnel Excavation Damaged Zones (EDZs) in Deep Mines and EDZ Prediction Modeling by Random Forest Regression by Qiang Xie, Kang Peng

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Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression by Raphael Uwamahoro, Raphael Uwamahoro, Kenneth Sundaraj, Farah Shahnaz Feroz

“…These models often suffer from reduced estimation accuracies due to the presence of redundant and irrelevant information within the rapidly expanding complex biomedical datasets as well as suboptimal hyperparameters configurations.MethodsThis study utilized a random forest regression (RFR) model to estimate elbow flexion torque using mechanomyography (MMG) signals recorded during electrical stimulation of the biceps brachii (BB) muscle in 36 right-handed healthy subjects. …”
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Efficient one-stage detection of shrimp larvae in complex aquaculture scenarios by Guoxu Zhang, Tianyi Liao, Yingyi Chen, Ping Zhong, Zhencai Shen, Daoliang Li

“…Firstly, the transparent bodies and small sizes of shrimp larvae, combined with complex scenarios due to variations in light intensity and water turbidity, make it challenging for current detection methods to achieve high accuracy. …”
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Prevalence of and risk factors for suicidal ideation among perinatal women with HIV infection: a systematic review, meta-analysis, and meta-regression by Sobhan Shahiri, Seyedeh-Tarlan Mirzohreh, Hosein Azizi, Elham Davtalab Esmaeili, Laleh Pourmousavi, Leila Hosseini, Laya Farzadi

“…Abstract Background The prevalence of suicidal ideation (SI) among HIV-positive pregnant women is a complex issue influenced by multiple risk factors. …”
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Monitoring of Nutrients, Metabolites, IgG Titer, and Cell Densities in 10 L Bioreactors Using Raman Spectroscopy and PLS Regression Models by Morandise Rubini, Julien Boyer, Jordane Poulain, Anaïs Berger, Thomas Saillard, Julien Louet, Martin Soucé, Sylvie Roussel, Sylvain Arnould, Murielle Vergès, Fabien Chauchard-Rios, Igor Chourpa

“…<b>Background:</b> Chinese hamster ovary (CHO) cell metabolism is complex, influenced by nutrients like glucose and glutamine and metabolites such as lactate. …”
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The Complexity of Global Capital Flows: Evidence from G20 Countries by Xiaochen Ding, Lu Sui

“…With the high volatility of capital flow and the imbalance of capital flow between emerging and advanced economies, the complexity of capital flow management is always attractive to researchers and policymakers. …”
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Lower bounds for quantum-inspired classical algorithms via communication complexity by Nikhil S. Mande, Changpeng Shao

“…Using communication complexity, in this work we propose the first method to study lower bounds for these tasks. …”
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Real-time Detection and Tracking for Operating Vehicles in Complex Mining Environments by KANG Gaoqiang, LIN Jun, LIU Shiwang, YUE Wei, XIONG Qunfang, TONG Hao

“…Aiming at the problems of poor detection effect and low tracking stability of multi-type vehicles in complex mining environment due to the similarity of operating vehicles and background images, this paper proposes a multi-category and multi-target real-time detection and tracking algorithm for operating vehicles in complex mining environments. …”
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Did industrial and export complexity drive regional economic growth in Brazil? by Ben-Hur Francisco Cardoso, Eva Yamila da Silva Catela, Guilherme Viegas, Flávio L Pinheiro, Dominik Hartmann

“…Only a few-mainly developed urban places-have comparative advantages in sophisticated services. Regressions show that a region's industrial complexity is a significant predictor for 3-year growth prospects, but export complexity is not. …”
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Efficacy of probiotic administration in the complex treatment of chronic catarrhal gingivitis in children by O. I. Godovanets, D. G. Popesku, O. S. Godovanets, V. V. Bezruk, T. O. Bezruk

“…Administration of the drug “BioGaia Prodentis” in the complex of chronic catarrhal gingivitis treatment in children resulted in a quick reverse development of clinical signs. …”
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Efficient Rank-Adaptive Least-Square Estimation and Multiple-Parameter Linear Regression Using Novel Dyadically Recursive Hermitian Matrix Inversion by Hsiao-Chun Wu, Shih Yu Chang, Tho Le-Ngoc, Yiyan Wu

“…The majority of computational complexity incurred in LSE and MLR arises from a Hermitian matrix inversion. …”
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Multi-trait ridge regression BLUP with de novo GWAS improves genomic prediction for haploid induction ability of haploid inducers in maize by Yu-Ru Chen, Ursula K. Frei, Thomas Lübberstedt

“…IntroductionRidge regression BLUP (rrBLUP) is a widely used model for genomic selection. …”
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Two-Stage Hybrid Machine Learning Model for High-Frequency Intraday Bitcoin Price Prediction Based on Technical Indicators, Variational Mode Decomposition, and Support Vector Regre... by Samuel Asante Gyamerah

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Yield Response of Different Rice Ecotypes to Meteorological, Agro-Chemical, and Soil Physiographic Factors for Interpretable Precision Agriculture Using Extreme Gradient Boosting a... by Md. Sabbir Ahmed, Md. Tasin Tazwar, Haseen Khan, Swadhin Roy, Junaed Iqbal, Md. Golam Rabiul Alam, Md. Rafiul Hassan, Mohammad Mehedi Hassan

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Advancement of Artificial Intelligence in Cost Estimation for Project Management Success: A Systematic Review of Machine Learning, Deep Learning, Regression, and Hybrid Models by Md. Mahfuzul Islam Shamim, Abu Bakar bin Abdul Hamid, Tadiwa Elisha Nyamasvisva, Najmus Saqib Bin Rafi

“…Hybrid models combine the strengths of different algorithms, achieving 80–90% accuracy on average, and are particularly effective in complex, multi-faceted projects. Overall, deep learning and hybrid models offer the highest accuracy in cost estimation, while machine learning and regression models still provide reliable results for specific applications.…”
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Prediction of Pile Bearing Capacity Using Opposition-Based Differential Flower Pollination-Optimized Least Squares Support Vector Regression (ODFP-LSSVR) by Nhat-Duc Hoang, Xuan-Linh Tran, Thanh-Canh Huynh

“…In practice, accurate predictions of pile bearing capacity are challenging due to a complex interplay of various geotechnical engineering factors including pile characteristics and ground conditions. …”
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A Multinomial Logistic Regression Analysis of Fertility Decisions and Associated Determinants Among Reproductive Age Women in Somaliland: Utilization of 2020 SLHDS Data by Hodo Abdikarim, Hibo Abdirashid, Mohamed A. Hussein, Abdirashid M. Yousuf, Abdisalam Hassan Muse, Saralees Nadarajah

“…Conclusion: This study provides valuable insights into the complex interplay of socioeconomic, cultural, and individual factors shaping fertility decisions in Somaliland. …”
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Evaluating Predictive Accuracy of Regression Models with First-Order Autoregressive Disturbances: A Comparative Approach Using Artificial Neural Networks and Classical Estimators by Rauf I. Rauf, Masad A. Alrasheedi, Rasheedah Sadiq, Abdulrahman M. A. Aldawsari

“…In the last decade, the size and complexity of datasets have expanded significantly, necessitating more sophisticated predictive methods. …”
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A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models by Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour

“…The experimental results demonstrated that the proposed IMGO algorithm is very effective in addressing complex problems with high accuracy, capability, and speedy convergence. …”
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Predictive Model for Early Neurological Deterioration in Acute Ischemic Stroke Utilizing Novel Thrombotic Biomarkers by Yifei Zhao, Hao Zhu, Changfei Dai, Wen Liu, Wenjin Yu, Bin Yan, Xiyang Ji, Lin Li, Dong Wei, Zhaopan Li, Ping Chen

“…However, the relationship between thrombin‐antithrombin complex (TAT), tissue plasminogen activator–inhibitor complex (t‐PAIC), plasmin‐α2 plasmin inhibitor complex (PIC), thrombomodulin (TM), and early neurological deterioration (END) remains unclear. …”
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