Applications of the Mittag-Leffler law to linear kinetic models & diffusion equations by Victor Tebogo Monyayi, Emile Franc Doungmo Goufo, Ignace Tchangou Toudjeu

“…We observe that when we increase the number of computing terms, the series becomes closer to the exact solution so that the absolute error between the exact solution and the approximate solution becomes very small. …”
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About the trustworthiness of physics-based machine learning – considerations for geomechanical applications by D. Degen, D. Degen, D. Degen, M. Ziegler, M. Ziegler, O. Heidbach, O. Heidbach, A. Henk, K. Reiter, F. Wellmann, F. Wellmann

“…The usage of these surrogate geomechanical models yields a speed-up of 6 orders of magnitude while maintaining global errors in the range of less than 0.01 <span class="inline-formula">%</span>. …”
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Design and Application of an Energy Management System Based on Artificial Intelligence Technology by Hongye Lin, Xuanying Bai, Chun Li, Shenghan Xu, Haibin Xu, Zne-Jung Lee, Yun Lin, Qunshan Zhou, Jingxun Cai

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Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines by Jiawang Yuan, Shan He, Jing Cheng, Weiqing Wang

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Application of Machine Learning for Estimating the Physical Parameters of Three-Dimensional Fractures by Fadhillah Akmal, Ardian Nurcahya, Aldenia Alexandra, Intan Nurma Yulita, Dedy Kristanto, Irwan Ary Dharmawan

“…The models were then evaluated using the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi mathvariant="normal">R</mi><mn>2</mn></msup></semantics></math></inline-formula> and mean absolute percentage error (MAPE). CNN-2 was the best model for accurately predicting the three fracture physical parameters but experienced a drop in performance when tested on real rock fractures.…”
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Research progress on the application of digital technology in the diagnosis and treatment of tooth wear by HE Yi, WANG Dingjie, XIAO Yuhong

“…In recent years, researchers have extensively studied the application of digital technology in tooth wear research from the perspectives of digital support devices, cutting-edge deep learning applications, technology diagnosis, design and prediction, and current limitations. …”
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Multi-Mode Coupling Enabled Broadband Coverage for Terahertz Biosensing Applications by Dongyu Hu, Mengya Pan, Yanpeng Shi, Yifei Zhang

“…This work establishes a paradigm for miniaturized THz biosensors, advancing applications in practical molecular diagnostics and multi-analyte screening.…”
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Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis by Elpidio Attoh-Mensah, Arnaud Boujut, Arnaud Boujut, Mikaël Desmons, Anaick Perrochon

“…Automation of certain tasks can reduce human error and alleviate clinician workload, allowing more time for direct patient care. …”
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A New Surface Waters Downscaling Approach Applicable at Global Scale by Thu-Hang Nguyen, Filipe Aires

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Application of machine learning in the determination of rock brittleness for CO2 geosequestration by Efenwengbe Nicholas Aminaho, Mamdud Hossain, Nadimul Haque Faisal, Reza Sanaee

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Computational and experimental study of thermal behavior in the oral cavity for biosensing applications by Yuanzhe Zhao, Jeroen H.M. Bergmann

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Energy efficient design and implementation of approximate adder for image processing applications by Naik Jatothu Brahmaiah, Kumar Kanagala Sateesh, Krishnaiah Kondragunta Rama, Koteswararao Seelam

“…Approximate computing is a new technique that promises to speed up computations while preserving a level of precision suitable for error-tolerant systems such as neural networks and graphics. …”
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The Representative Points of Generalized Alpha Skew-<i>t</i> Distribution and Applications by Yong-Feng Zhou, Yu-Xuan Lin, Kai-Tai Fang, Hong Yin

“…Hence, this paper only provides three ways to obtain RPs of the GAST distribution, Monte Carlo (MC), quasi-Monte Carlo (QMC), and mean square error (MSE). The three types of RPs are utilized in estimating moments and densities of the GAST distribution with known and unknown parameters. …”
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Image Similarity Quantum Algorithm and Its Application in Image Retrieval Systems by Qingchuan Yang, Xianing Feng, Lianfu Wei

“…Overall, within the acceptable error thresholds, the AE-QIP algorithm exhibits enhanced efficiency relative to the ST-QIP algorithm. …”
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Cancer Patients Missing Pain Score Information:- Application with Imputation Techniques by Gajendra Vishwakarma, Atanu Bhattacharjee, Jesna Jose, Ramesh V

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Modified generalized Chen distribution, estimation and application using econometrics data by Owens Ogheneochuko Akpojaro, Charles Okechukwu Aronu

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Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data by Maha Hasso, Mona Siddiq

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A systematic review of neural network applications for groundwater level prediction by Samuel K. Afful, Cyril D. Boateng, Emmanuel Ahene, Jeffrey N. A. Aryee, David D. Wemegah, Solomon S. R. Gidigasu, Akyana Britwum, Marian A. Osei, Jesse Gilbert, Haoulata Touré, Vera Mensah

“…The results from the systematic review indicate a growing preference for hybrid models, which effectively capture hidden relationships between GWL and environmental factors. The root mean square error (RMSE) emerges as the predominant performance metric, highlighting its significance in evaluating NNs. …”
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Advancements in combustion technologies: A review of innovations, methodologies, and practical applications by Abdellatif M. Sadeq, Raad Z. Homod, Husam Abdulrasool Hasan, Bilal Naji Alhasnawi, Ahmed Kadhim Hussein, Ali Jahangiri, Hussein Togun, Masoud Dehghani-Soufi, Shahbaz Abbas

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Application of Observation Perturbation-based EDA Method to CMA Ensemble Forecasting by Zhang Hanbin, Xia Yu, Cao Yajie

“…It can be concluded that the observation perturbation scheme developed for CMA-MESO aligns with actual observation error characteristics, it can address uncertainties in the model initial analysis field stemming from observations, and multiple sets of observations generated can effectively represent uncertainties in observations. …”
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