SEMP-TA: A Novel Stock Market Prediction Approach Based on Stacking Ensemble Machine Learning for Effective Trend Analysis by Chanda Raj Kumar, S. Manikandan

“…The initial step in cleaning data is preprocessing, which includes tasks such as normalising data, identifying and discarding missing values, and selecting important features using cluster-based feature selection. …”
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4 Pattern Recognition for Healing Burns to Compute Evidence: Space Syntax and Machine Learning Analysis of Burns Center Karachi by Javaria Manzoor Shaikh, JaeSeung Park

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Comparative analysis of machine learning models for wind speed forecasting: Support vector machines, fine tree, and linear regression approaches by Yousef Altork

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Optimising Construction Site Auditing: A Novel Methodology Integrating Ground Drones and Building Information Modelling (BIM) Analysis by Diego Guerrero-Sevilla, Rocío Rodríguez-Gómez, Alberto Morcillo-Sanz, Diego Gonzalez-Aguilera

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Outlier Traffic Flow Detection and Pattern Analysis Under Unplanned Disruptions: A Low-Rank Robust Decomposition Model by Zhipeng Duan

“…We further consider the random fluctuations of regular flow and restrict the recovering errors concerning the magnitude of random fluctuation. …”
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Symbolic Regression-Based Modeling for Aerodynamic Ground-to-Flight Deviation Laws of Aerospace Vehicles by Di Ding, Qing Wang, Qin Chen, Lei He

“…For UAV flight test data, the average root mean square error (RMSE) of the mathematical model demonstrates a maximum improvement of 37% in accuracy compared to three data-driven methods. …”
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A Combined RSM-FEM Analysis of Electric Field Distribution in a Novel Design of an Inclined-Plane Electrostatic Separator by Abdelkader Nadjem, Karim Rouagdia

“…The correlation between simulated data and model predictions was strong (R² > 0.99), with prediction errors not exceeding 5.83%. …”
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Patient Safety Culture Among Healthcare Settings in Low and Middle-Income Countries: A Systematic Review and Meta-Analysis by Natnael Atnafu Gebeyehu, Kirubel Tegegne, Biruk Admass, Nathan Shewangashaw, Yibeltal Atalay, Dagne Sewuyew, Awoke Gebremariam, Kelemu Abebe Gelaw

“…A thorough search was conducted across multiple databases, including Science Direct, Scopus, Google Scholar, EMBASE, and PubMed. Data extraction was carried out using Microsoft Excel, and statistical analysis was performed using STATA software (version 14). …”
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Rainfall Prediction Using Integrated Machine Learning Models With K-Means Clustering: A Representative Case Study of Harirud Murghab Basin-Afghanistan by Ziaul Haq Haq Doost, Ali Alsuwaiyan, Abdulazeez Abdulraheem, Nabil M. Al-Areeq, Zaher Mundher Yaseen

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Leveraging Seawater Thermal Energy Storage and Heat Pumps for Coupling Electricity and Urban Heating: A Techno-Economic Analysis by Timur Abbiasov, Aldo Bischi, Manfredi Gangi, Andrea Baccioli, Paolo Santi, Carlo Ratti

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Investigation of heavy metal concentration, origin, and relationships in Sistan region dust: A novel approach with advanced statistical analysis by Seyed Mohammad Sadeq Tabib Loghmani, Mohammad Reza Rezaei Kahkha, Ahmad Sharafti, Amin Reza Neshat

“…Principal component analysis (PCA) revealed that the first two components accounted for 94.8% of the data variability. …”
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Artificial neural networks analysis for non-newtonian nanofluid flow with variable viscosity and MHD effects in wire covering processes by Maria Altaib Badawi, Zeeshan, Nehad Ali Shah, Imed Boukhris, Adel Thaljaoui

“…The basic flow equations in expressions of PDEs for WCS-TGNFF is transformed into non-dimensional ODEs. The data acquisition for the proposed ANN-LMA is generated for parameters involved in the model WCS-TGNFF through Runge-Kutta method. …”
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Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory by Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li

“…The framework is divided into three parts: road traffic status acquisition, traffic anomaly detection, and urban anomaly analysis. First, we perform filtering and map matching on the trajectory data to obtain the traffic states of urban roads and construct them into a tensor. …”
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Episodic therapy for genital herpes in sub-saharan Africa: a pooled analysis from three randomized controlled trials. by Helen A Weiss, Gabriela Paz Bailey, Sam Phiri, Gerard Gresenguet, Jerome LeGoff, Jacques Pepin, David A Lewis, Laurent Belec, Irving F Hoffman, William C Miller, Philippe Mayaud

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Exploring the causes of elevated kinesiophobia in post-coronary stenting patients: a qualitative analysis in a cardiac rehabilitation setting by Ying Zhang, Rui Xu, Junfang Miao, Junxia Miao, Weizhao Wang, Mengmeng Dong, Fangli Li

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Technical-Tactical Analysis of Serving Strategies in Elite Women’s Volleyball: Insights from the Santiago 2023 Pan American Games by Guillermo Laclote-Gutierrez, Jairo Azócar-Gallardo, Tiago Vera-Assaoka, Mauricio Cresp-Barria, Exal Garcia-Carrillo, Víctor Campos-Uribe, Eduardo Baez-San Martín, Alex Ojeda-Aravena

“…Direct observation, supplemented with advanced video analysis software, facilitated accurate data collection using observational methodology. …”
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HYBRID MODEL OF SINGULAR SPECTRUM ANALYSIS WITH AUTOREGRESSIVE INTEGRATED MOVING AVERAGE AND FUZZY TIME SERIES FOR INDONESIAN CRUDE PRICE FORECASTING by Etik Zukhronah, Winita Sulandari, Esa Permata Sari Putri Ilahi

“…By the same procedure, the hybrid SSA-FTS model is also constructed to the insample data. Based on the experiment, the hybrid SSA-ARIMA produces Mean Absolute Percentage Error values 8.08% for an insample and 7.10% for an outsample data. …”
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Enhancing Fault Location Accuracy in Transmission Lines Using Transient Frequency Spectrum Analysis: An Investigation into Key Factors and Improvement Strategies by Mustafa Akdağ, Mehmet Salih Mamiş, Düzgün Akmaz

“…The new proposed source inductance compensation method can reduce the error of 6.55% to 0.88%, where the same error can be reduced to 3.45% with the compensation method given in previous study. …”
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Pengujian Model Pengukuran Congeneric, Tau-Equivalent dan Parallel pada Satisfaction With Life Scale (SWLS) by Yonathan Natanael, Yusak Novanto

“…Many researchers make an error in data analysis, where researchers analyzing data using the raw score on the instrument with an ordinal scale. …”
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Analysis and prediction of thermo-physical properties in water-based MWCNT-ZnO hybrid nanofluids using ANN and ANFIS models by Surendra D. Barewar, Pritam S. Kalos, Balaji Bakthavatchalam, Mahesh Joshi, Sarika Patil, Mahesh Sonekar

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