Open Science and Open Access Policies as Drivers of Innovation: Evidence from Patent Activity in European Countries by Maksym W. Sitnicki, Yuriy Petrushenko, Elena Kašťáková, Anabela Luptáková, Milena Filipova, Viktoriia Hurochkina

“…Using a panel dataset from 2000 to 2023, the analysis applies fixed-effects regression models with clustered standard errors and robust specifications, focusing on the logarithm of total patent applications as the dependent variable. …”
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Photoplethysmography Feature Extraction for Non-Invasive Glucose Estimation by Means of MFCC and Machine Learning Techniques by Christian Salamea-Palacios, Melissa Montalvo-López, Raquel Orellana-Peralta, Javier Viñanzaca-Figueroa

“…A comparison between the performance of the algorithms revealed that the best combination achieved a mean absolute error of 9.85 mg/dL and a correlation of 0.94 between the estimated concentration and the real glucose values. …”
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AAMS: Application-Aware MCS Selection With Mode Switching for QoE-Driven Large-Scale Media Transmission in 6G Mobile Networks by Somin Park, Minji Choi, Jin-Hyun Ahn, Dong Ho Kim, Cheolwoo You

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A Power Control Scheme For Doubly-fed Induction Generator by Alfeu J. Sguarezi Filho, M. E. Oliveira Filho, Ernesto Ruppert

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A Demodulation Method of Spatial Domain for Low-Coherence Interferometry With High Accuracy and Adaptability by Chao Wang, Xuezhi Zhang, Junfeng Jiang, Kun Liu, Shuang Wang, Yuanyao Li, Tiegen Liu

“…From −20 °C to 70 °C, the accuracy is stable and the maximum error is less than 0.054 kPa. The demodulation method has the potential to enhance the measurement accuracy and adaptability in actual environment for universal applications.…”
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Regression machine learning-based highly efficient dual band MIMO antenna design for mm-Wave 5G application and gain prediction by Redwan A. Ananta, Md. Ashraful Haque, Geamel Alyami, Md Sharif Ahammed, Md. Kawsar Ahmed, Narinderjit Singh Sawaran Singh, Md Afzalur Rahman, Hussein Shaman, Hanaa A. Abdallah, Abdelhamied A. Ateya

“…A machine learning-based performance prediction framework was employed, where five regression models were evaluated using critical metrics, including variance score, R-squared, mean squared error (MSE), mean absolute error (MAE), and root mean square error (RMSE). …”
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CHNSO Elemental Analyses of Volatile Organic Liquids by Combined GC/MS and GC/Flame Ionisation Detection Techniques with Application to Hydrocarbon-Rich Biofuels by Jude Azubuike Onwudili, Morenike Ajike Peters, Carine Tondo Alves

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On Classification and Application of Monovision Technique for Excimer Laser Correction and on Possible of Preliminary Target Refraction Modeling in Patients with Primary Myopia, As... by E. I. Belikova, T. V. Perova

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An Application of Artificial Intelligence for the Joint Estimation of Amplitude and Two-Dimensional Direction of Arrival of Far Field Sources Using 2-L-Shape Array by Fawad Zaman, Ijaz Mansoor Qureshi, Junaid Ali Khan, Zafar Ullah Khan

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A Study of Forced Vibrations with Nonlinear Springs and Dry Friction: Application to a Mechanical Oscillator with Very Large Vibrating Blades for Soil Cutting by Dario Friso

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Fitting membrane resistance along with action potential shape in cardiac myocytes improves convergence: application of a multi-objective parallel genetic algorithm. by Jaspreet Kaur, Anders Nygren, Edward J Vigmond

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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…To avoid unintended results, data mining from new applications like sensors and location-based services needs to be done with care. …”
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Active Vibration Control of Cantilever Structures by Integrating the Closed Loop Control Action into Transient Solution of Finite Element Model and an Application to Aircraft Wing by İlker Bülbül, Murat Akdağ, Hira Karagülle

“…The instantaneous value of the feedback signal at a time step is subtracted from zero to find the error signal value and the error value is multiplied by the control gain to calculate the controlling signal. …”
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Design of Small Permanent-Magnet Linear Motors and Drivers for Automation Applications with S-Curve Motion Trajectory Control and Solutions for End Effects and Cogging Force by Chia-Hsiang Ho, Jonq-Chin Hwang

“…After verification, practical test results showed a maximum position error of approximately 5.0 μm. Practical tests show that the designed small-type permanent-magnet linear motor and its driver provide efficient, stable, and high-precision solutions for automation applications.…”
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Application of Machine Learning for Predictive Analysis and Management of Mediterranean-Farmed Fish Mortalities: A Risk Management Case Study Using Apache Spark by Marios C. Gkikas, Dimitris C. Gkikas, Gerasimos Vonitsanos, John A. Theodorou, Spyros Sioutas

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Application of Forest Integrity Assessment to Determine Community Diversity in Plantation Forests Managed Under Carbon Sequestration Projects in the Western Qinba Mountains, China by Chun-Jing Wang, Dong-Zhou Deng, Wu-Xian Yan, Zhi-Wen Gao, Shan-Feng Huang, Ji-Zhong Wan

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Influences of uncertainty in well log petrophysics and fluid properties on well test interpretation: An application in West Al Qurna Oil Field, South Iraq by Ali Y. Jirjees, Abdulaziz M. Abdulaziz

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Pabsco: parameterized B-rep-based surface correspondence estimation for category-level 3D object matching applicable to multi-part items by Taiki Yano, Daisuke Hagihara, Nobutaka Kimura, Nobuhiro Chihara, Kiyoto Ito

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Predicting axial load capacity in elliptical fiber reinforced polymer concrete steel double skin columns using machine learning by Focai Yu, Haytham F. Isleem, Walaa J. K. Almoghayer, Ramy I. Shahin, Saad A. Yehia, Mohammad Khishe, Mohamed Kamel Elshaarawy

“…The validated model was then employed in a parametric study to generate 112 data points.The parametric study examined the impact of concrete strength, the cross-sectional size of the inner steel tube, and FRP thickness on the ultimate load-carrying capacity and ultimate strain of both hollow and solid hybrid elliptical DSTCs.The effectiveness of the AI application was assessed by comparing the models’ predictions with FE results.Among the models, XGBoost and RF achieved the best performance in both training and testing with respect to the determination coefficient (R2), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE) values. …”
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A Data-Driven Strategy for Long-Term Agrarian Sustainability using the Application of Machine Learning Algorithms to Predictive Models for Pest and Disease Management by Almusawi Muntather, Ameer S. Abdul, Lalitha Yaragudipati Sri

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