Towards an Explainable Artificial Intelligence approach for smart grid systems by Mahmoud Alfayan, Hani Hagras

“…Using a real-world dataset with variables related to operations, environment, and time, our system employs a type-2 fuzzy logic XAI based system to generate clear, interpretable predictions of energy demand. The transition from a Type-1 to a Type-2 fuzzy logic system resulted in enhanced prediction performance, as evidenced by a reduction in the root mean square error (RMSE) from 8.7734 to 5.9422, resulting in 32.2% enhancement in RMSE. …”
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From policy to practice: The mediating role of innovation in renewable energy adoption in OECD nations by Anjan Kumar Sahu, Mantu Kumar Mahalik

“…The Driscoll-Kraay standard error estimation used as a robust method confirms our baseline results derived from the system GMM method. …”
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Confirmatory factor analysis of an identity questionnaire Among autistic adolescents and young adults by Liron Lamash, Sonya Meyer

“…Challenges during the transition to adulthood affect how adolescents and young adults (AYA) with autism integrate their autism diagnoses into their self-concept. …”
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Degradation and Migration Characteristics and Water‐Inrush Mechanism of Overburden Roof Under High‐Intensity Mining by Min Cao, Shangxian Yin, Xu Wang, Shuqian Li, Qixing Li, Yulong Di

“…The relative and absolute errors of the prediction results from both models were compared. …”
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A Global Assessment of Diurnal Discontinuities in ERA5 Tropospheric Zenith Total Delays Using 10 Years of GNSS Data by Peng Yuan, Geoffrey Blewitt, Corné Kreemer, Weiping Jiang, Tianjun Liu, Linyu He, Qiang Shan, Kyriakos Balidakis, Harald Schuh, Jens Wickert, Zhiguo Deng

“…The discontinuities are more pronounced in summer and are primarily due to errors in ERA5's humidity modeling, with a few pressure‐related issues limited to Antarctica. …”
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Real‐Climatic Microcontroller‐in‐the‐Loop (RCMIL) Framework: A Novel, Rapid, and Cost‐Effective Approach for Verifying Photovoltaic Control Systems by Ambe Harrison, Idriss Dagal, Wulfran Fendzi Mbasso, Fritz Nguemo Kemdoum, Reagan Jean Jacques Molu, Hamid Belghiti, Pradeep Jangir

“…Experimental results demonstrate the framework's efficacy, with the real‐climatic efficiency (RCE) reaching 97.15% under slowly changing conditions, while the real‐climatic mean absolute error (RCMAE) and real‐climatic mean absolute percentage error (RCMAPE) for voltage were measured at 4.55 V and 18.77%, respectively. …”
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Prediction of Rail Wear Under Different Railway Track Geometries Using Artificial Neural Networks by Hong Zhang, Weichen Shuai, Linya Liu, Pengfei Zhang, Kejun Zhang, Hongsong Lin, Yuke Zhang, Wei Li

“…Compared with the conventional ANN model, the PSO-ANN model reduces the prediction errors by 22.54% for inner rail wear and 55.69% for outer rail wear. …”
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First-Serve Advantage and Emerging Tactical Limitations in Elite U-14 Boys’ Tennis: A Les Petits as Case Study by Iván Prieto-Lage, Miguel Crespo, Rafael Martínez-Gallego, Xoana Reguera-López-de-la-Osa, Antonio José Silva-Pinto, Alfonso Gutiérrez-Santiago

“…Tactical inefficiencies were evident in the execution of the serve +1 shot, where errors often extended rallies unnecessarily. These findings highlight the need for targeted training interventions to improve serve placement, forward positioning, and decision-making. …”
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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

“…In the realm of artificial neural networks, the Levenberg-Marquardt Algorithm is characterized by its innovative stability and produces a computational resolution of the wire covering for third grade nanofluid flow (WC-TGNFF) utilizing regression plots (RP), histogram visualizations, state transition metrics, and mean squared errors (MSE). This manuscript examines WC-TGNFF through the implementation of a novel intelligent computing system via the Levenberg-Marquardt Algorithm (ANN-LMA). …”
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Measuring the Thermal Unfolding of Lysozyme: A Critical Comparison of Differential Scanning Fluorimetry and Differential Scanning Calorimetry by Weronika Malicka, Yueyue Dai, Andreas Herrmann, Rainer Haag, Matthias Ballauff, Marina Pigaleva, Thomas Risse, Daniel Lauster, Iman Asakereh, Mazdak Khajehpour

“…The unfolding enthalpy ΔHu and the change of specific heat were also obtained and errors in the range of 5–10 % and 30–50 % were determined, respectively. …”
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A Finite Element Approach to the Upper-Bound Bearing Capacity of Shallow Foundations Using Zero-Thickness Interfaces by Yu-Lin Lee, Yu-Tang Huang, Chi-Min Lee, Tseng-Hsing Hsu, Ming-Long Zhu

“…For friction angles ranging from 0° to 40°, the computed bearing capacity factors N<i>_c</i> and N<i>_q</i> show minimal deviation from the analytical results, with errors as low as 0.04–0.19% and 0.12–2.43%, respectively. …”
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Conversion from Forest to Agriculture in the Brazilian Amazon from 1985 to 2021 by Hugo Tameirão Seixas, Hilton Luís Ferraz da Silveira, Alan Pereira da Silva Falcão Mendes, Fabiana Da Silva Soares, Ramon Felipe Bicudo da Silva

“…Our accuracy assessment shows an opportunity to improve conversion length calculations by reducing errors in the classification of agriculture establishment. …”
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Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management by M. Sivaramkrishnan, Jaganathan Subramani, Mohammad Mukhtar Alam, Liew Tze Hui

“…The suggested approach shows excellent accuracy with few errors for various drive cycles and temperatures: for US06, the RMSE stabilizes at about 0.05%, the MAE drops to 0.1%, and the MSE reaches 0.0025%.…”
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Do feed-in tariffs unlock green finance? A panel study of banking sector assets and renewable energy consumption across 66 countries around the world by Olena Shcherbakova

“…Type of article: Research Article AbstractThe mobilization of banking sector capital is increasingly viewed as a pivotal component of the global transition to renewable energy sources (RES), given the sector’s capacity to finance capital-intensive projects. …”
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Completing the “Nurses back to healthcare” training and returning to professional work: a qualitative study of nurses’ experiences by Kadri Kööp, Mare Tupits

“…An adequate number of nurses would reduce errors caused by work overload. The “Nurses back to healthcare” training is designed to alleviate the nursing shortage by providing an opportunity for nurses who are currently not working in the profession to re-enter healthcare. …”
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The specifics of the development of the agricultural land market: the experience of Europe and the countries of Central Asia by I.O., L.V., Yu.V.

“…Applying a five-stage agricultural land market development conceptual framework, the paper assesses the current stage of land market development in Eastern Europe and Central Asia and discusses key constraints, including informality, lack of ownership, technical errors and transaction procedures. In most countries, agricultural structures are characterized by excessive land fragmentation and small average farm sizes. …”
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Distinction between the concepts of mathematical and logical modeling by E. N. Kolybenko

“…Mathematical simulation is used to operate material objects in the control processes of their transformations through cutting methods, i.e. imperfectly, considering heterogeneous errors. Between the organization systems under study and management processes in them, there are information and logical links of their organic unity, which deny their separate consideration. …”
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Cellular porosity in dentin exhibits complex network characteristics with spatio-temporal fluctuations. by Lucas Chatelain, Nicolas Tremblay, Elsa Vennat, Elisabeth Dursun, David Rousseau, Aurélien Gourrier

“…However, path metrics, which characterize transport properties, proved very sensitive to network defects. Residual errors were classified in 4 topological classes related to fluorescence staining and confocal detection efficiency, instrumental resolution and image processing. …”
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QUALITY ASSESSMENT OF A USER INTERFACE BASED ON THE MENTAL TIME OF PERFORMING THE USER TASKS OF THE SUBJECT AREA by V. K. Grigoriev, A. S. Ilyushechkin, M. A. Ovchinnikov

“…The article deals with the method of quantitative evaluation of the quality of the user interface in the form of such characteristics as errors and mental time of the tasks of the subject area. …”
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INFLUENCE OF MONETARY POLICY INSTRUMENTS AND INDICATORS ON DYNAMICS OF FINANCING INNOVATION: EMPIRICAL EVIDENCE by Anargul Belgibayeva, Anastasiia Samoilikova, Tetiana Vasylieva, Serhiy Lieonov

“…The methods of regression (linear regression model with panel-corrected standard errors) and correlation analysis (calculating Pearson and Spearman coefficients) were applied to identify a relationship between monetary instruments and indicators and indicator of financing innovation, confirm the hypothesis about the impact of the monetary instruments and indicators on the financing innovation and formalize this effect. …”
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