Developing a Model of Wisdom Based on Successful Intelligence and Psychological Well-Being in Students: The Mediating Role of Creativity by Rasool Kordnoghabi, Saeed Veisi

“…The purpose of the present study was to develop a model of wisdom based on successful intelligence and psychological well-being in students with the mediating role of creativity. …”
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Intelligent Health Monitoring in 6G Networks: Machine Learning-Enhanced VLC-Based Medical Body Sensor Networks by Bilal Antaki, Ahmed Hany Dalloul, Farshad Miramirkhani

“…Recent advances in Artificial Intelligence (AI)-driven wireless communication are driving the adoption of Sixth Generation (6G) technologies in crucial environments such as hospitals. …”
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Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation by Mohammed Ghazwani, Umme Hani

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Digital Twins for Intelligent Vehicle-to-Grid Systems: A Multi-Physics EV Model for AI-Based Energy Management by Michela Costa, Gianluca Del Papa

“…This paper presents a high-fidelity multi-physics dynamic model for electric vehicles, serving as a fundamental building block for intelligent vehicle-to-grid (V2G) integration systems. …”
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Artificial intelligence-based non-invasive bilirubin prediction for neonatal jaundice using 1D convolutional neural network by Fatemeh Makhloughi

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Computational analysis of controlled drug release from porous polymeric carrier with the aid of Mass transfer and Artificial Intelligence modeling by Saad M Alshahrani, Hadil Faris Alotaibi, M. Yasmin Begum

“…Additionally, GB manifests the most modest Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) among the trio of models, further cementing its supremacy in predictive precision. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…While edge artificial intelligence (AI) offers potential, its limitations in resource-constrained devices can be mitigated through federated learning (FL). …”
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Intelligent fault tolerance control using long short-term memory for efficient system performance under fault conditions by Mostafa H. El-Mahdy, Abdelrahman O. Ali, O. H. Hassan, Eman M. El-Gendy, Mahmoud M. Saafan

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Leveraging Artificial Intelligence in Public Health: A Comparative Evaluation of Machine-Learning Algorithms in Predicting COVID-19 Mortality by Eric B. Weiser

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Explicit and explainable artificial intelligent model for prediction of CO2 molecular diffusion coefficient in heavy crude oils and bitumen by Saad Alatefi, Okorie Ekwe Agwu, Ahmad Alkouh

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Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

“…Similarly, the ANN had root mean square errors (RMSEs) of 0.69, mean absolute percentage errors (MAPEs) of 5.01%, and correlation coefficients of 0.93. …”
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Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…As an alternative to analytical/empirical formulas that approximate the true physics only partially, this paper demonstrates the potential of artificial intelligence (AI) techniques to predict thrust in AF-MPDTs. …”
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Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations by Khaled Hamad, Emran Alotaibi, Waleed Zeiada, Ghazi Al-Khateeb, Saleh Abu Dabous, Maher Omar, Bharadwaj R.K. Mantha, Mohamed G. Arab, Tarek Merabtene

“…The model's high accuracy, with a coefficient of determination (R2) of 0.72 and a root mean square error (RMSE) of 21.2 min, indicates the potential of XAI in enhancing traffic management systems.…”
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Intelligenza Artificiale: con il Medioevo nel cuore by Mario Caligiuri

“…Through a journey that starts from the medieval roots of universities, it explores the interaction between human and artificial intelligence, the reshaping of traditional knowledge monopolies, and the emergence of new learning and teaching methods. …”
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RGB-D Camera and Fractal-Geometry-Based Maximum Diameter Estimation Method of Apples for Robot Intelligent Selective Graded Harvesting by Bin Yan, Xiameng Li

“…Realizing the integration of intelligent fruit picking and grading for apple harvesting robots is an inevitable requirement for the future development of smart agriculture and precision agriculture. …”
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Automated Detection of Deviations in Bankruptcy Processes Using Process Mining by Ivan P. Malashin, Igor S. Masich, Daniel A. Ageev, Dmitriy A. Evsyukov, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin, Vadim S. Tynchenko

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Intelligent Fault Warning Method for Wind Turbine Gear Transmission System Driven by Digital Twin and Multi-Source Data Fusion by Tiantian Xu, Xuedong Zhang, Wenlei Sun

“…To meet the demands for real-time and accurate fault warning of wind turbine gear transmission systems, this study proposes an innovative intelligent warning method based on the integration of digital twin and multi-source data fusion. …”
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Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy by Ibrahim Alrashdi, Ahmed M. Ali, Karam M. Sallam, Mohamed Abdel-Basset

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Asteroid Types, Albedos, and Diameters Catalog from Gaia DR3: Intelligent Inversion Results via Multisource Information Fusion by Jiayi Ge, Xiaoming Zhang, Juan Li, Huijuan Wang, Dawei Xu, Xiaojun Jiang

“…To improve inversion accuracy using optical data and to obtain parameters for a larger number of asteroids, we propose an asteroid albedo-diameter joint inversion method (AadRF) that integrates low-resolution spectra, orbital dynamics, and physical parameters through artificial intelligence (AI). Cross validation and independent testing show that AadRF reduces the root mean square error for albedo and diameter predictions by 64.0 percentage points and 70.2 percentage points, respectively, compared to the traditional method, with corresponding mean absolute percentage errors of 28.9% and 17.5%. …”
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<i>Dens Invaginatus</i>: A Comprehensive Review of Classification and Clinical Approaches by Abayomi O. Baruwa, Craig Anderson, Adam Monroe, Flávia Cracel Nogueira, Luís Corte-Real, Jorge N. R. Martins

“…This process leads to a broad spectrum of anatomical variations, ranging from minor enamel-lined pits confined to the crown to deep invaginations extending through the root, occasionally communicating with periodontal or periapical tissues. …”
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