Probabilistic coupled EV‐PV hosting capacity analysis in LV networks with spatio‐temporal modelling and copula theory by Chathuranga D. W. Wanninayaka Mudiyanselage, Kazi N. Hasan, Arash Vahidnia, Mir Toufikur Rahman

“…The proposed models have been validated using actual EV charging and PV generation data from 36 Australian EV users over 1 year. Power flow simulation with actual data and modelled data have identified EV‐only and coupled EV‐PV hosting capacities in an Australian LV test network. …”
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The dynamics of life insurance demand in Bangladesh: An empirical analysis of socio-economic influences by Shaikh Masrick Hasan, Sonia Munmun, Priya Saha

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The Sensitivity Analysis of Whitecapping Dissipation Term for Calibration of SWAN Model Forced with ERA5 Winds in the Gulf of Oman by Amir Siahsarani, Majid Azadi, Behzad Layeghi, Davoud Babazadeh

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Research on anti-error operation warning of power grid dispatching based on deep bidirectional gated recurrent neural network by Jinglong He, Dunlin Zhu, Sheng Yang, Jinming Liu, Tianyun Luo, Yuan Fu

“…This paper combines the principle of hierarchical data construction, summarizes the structured data of metadata operation tickets and maintenance plans of CIM model and OMS network frame model, and constructs the data warehouse of grid dispatching error prevention; based on the natural language processing (NLP) technology, key information and knowledge entities related to grid dispatching error prevention are automatically identified and extracted from the data warehouse. …”
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Estimation and diagnostic for single-index partially functional linear regression model with $ p $-order autoregressive skew-normal errors by Lijie Zhou, Liucang Wu, Bin Yang

“…This paper introduced a novel single-index partially functional linear regression model with $ p $-order autoregressive skew-normal errors, addressing the dual challenges of autocorrelation and skewness in high-dimensional functional data. …”
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Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company) by M Kiani, I Mohammad Fam, T Allahviranloo

“…Conclusion: Identify and assess the factors affecting the performance of various industries using fuzzy analysis method is extremely useful to reduce human error.…”
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Haemoglobin Levels Analysis Using Robust Partial Least Square Regression Models by Taha Ali, Mahammad Mahmoud Bazid

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Medication Safety in the Emergency Department: A Study of Serious Medication Errors Reported by 101 Hospitals From 2011 to 2020 by Elizabeth Kukielka, Rebecca Jones

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Inferences About Two-Parameter Multicollinear Gaussian Linear Regression Models: An Empirical Type I Error and Power Comparison by Md Ariful Hoque, Zoran Bursac, B. M. Golam Kibria

“…In linear regression analysis, the independence assumption is crucial and the ordinary least square (OLS) estimator generally regarded as the Best Linear Unbiased Estimator (BLUE) is applied. …”
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Effectiveness of Coaching Interventions using Grammarly Software and Plagiarism Detection Software in Reducing Grammatical Errors and Plagiarism of Undergraduate Researches by Genaro V. Japos

“…The study involved a statistical analysis of data derived from software reports tested through the use of t-test and Pearson correlation. …”
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A Two-Stage Method for Decorrelating the Errors in Log-Linear Models for Spectral Density Comparisons in Neural Spike Sequences by Georgios E. Michailidis, Vassilios G. Vassiliadis, Alexandros G. Rigas

“…The weighting schemes may differ in the estimated SDFs. To decorrelate the error terms in the log models, we apply a two-stage method: in the first stage, the error terms are identified by choosing a suitable model, while in the second stage, the reliable estimates of the unknown parameters involved in the polynomial expressions are derived by decorrelating the data. …”
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Dynamic Error Modeling and Predictive Compensation for Direct-Drive Turntables Based on CEEMDAN-TPE-LightGBM-APC Algorithm by Manzhi Yang, Hao Ren, Shijia Liu, Bin Feng, Juan Wei, Hongyu Ge, Bin Zhang

“…This study presents a dynamic continuous error compensation model for direct-drive turntables, based on an analysis of positioning error mechanisms and the implementation of a “decomposition-modeling-integration-correction” strategy, which features high flexibility, adaptability, and online prediction-correction capabilities. …”
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Estimation of the Monthly Mean Temperature Values of the Eastern Black Sea Basin with Statistical Downscaling Method Using EraInterim Re-analysis Data by Sinan Nacar, Murat Kankal, Umut Okkan

“…In this study, it was aimed to estimate the monthly mean temperature measured from 12 meteorological stations in and around the Eastern Black Sea Basin using atmospheric variables in the EraInterim re-analysis data set with grid resolution (0.75° x 0.75°). …”
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Physical bases for determination of scattering kernels from incomplete data in grid-less X-ray imaging by A. Yu. Danyk, O. O. Sudakov

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Unsteady Flow Field Analysis of a Compressor Cascade Based on Dynamic Mode Decomposition by Xiaoxiong Wu, Yuming Du

“…This study validates the feasibility and effectiveness of DMD in reduced-order modeling for unsteady flow fields and includes error analysis for further evaluation.…”
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Forecasting birth trends in Ethiopia using time-series and machine-learning models: a secondary data analysis of EDHS surveys (2000–2019) by Daniel Adane, Assefa Andargie Kassa, Berhanu Abebaw Mekonnen, Rahel Mulatie Anteneh, Chalachew Yenew, Meron Asmamaw Alemayehu, Tilahun Degu Tsega, Sintayehu Simie Tsega, Almaw Genet Yeshiwas, Abathun Temesegen, Habitamu Mekonen, Amare Genetu Ejigu, Abraham Teym, Gashaw Melkie Bayeh, Getaneh Atikilit, Tesfaneh Shimels, Wolde Melese Ayele, Ahmed Fentaw Ahmed, Birhanemaskal Malkamu, Wondimnew Desalegn Addis, Getasew Yirdaw, Chalachew Abiyu Ayalew, Kalaab Esubalew, Zeamanuel Anteneh Yigzaw

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Impact of high-resolution settlement data on flood exposure: a comparative analysis of flood hazard and exposure in the Gin River Basin, Sri Lanka by Jayapadma Mudalige Miyuru Uthpala Jayapadma, Kazuyoshi Souma, Thushara Navodani Wickramaarachchi, Jun Magome, Hiroshi Ishidaira

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Application of Artificial Intelligence to Support Design and Analysis of Steel Structures by Sina Sarfarazi, Ida Mascolo, Mariano Modano, Federico Guarracino

“…Unlike conventional ML models that focus mostly on forward predictions, IML helps data-driven design generation, enabling more adaptive engineering solutions. …”
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Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer by Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Ozgur Kisi, Mohammad Zounemat-Kermani

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Estimation of Hydroelectric Power Generation Forecasting and Analysis of Climate Factors with Deep Learning Methods: A Case Study in Yozgat Province in Turkey by Feyza Nur Çakıcı, Suleyman Sungur Tezcan, Hıdır Düzkaya

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