Maize Leaf Area Index Estimation Based on Machine Learning Algorithm and Computer Vision by Wanna Fu, Zhen Chen, Qian Cheng, Yafeng Li, Weiguang Zhai, Fan Ding, Xiaohui Kuang, Deshan Chen, Fuyi Duan

“…Among these, GB achieved the best performance, with R² values of 0.88, 0.88, and 0.65, and RMSE values of 0.22, 0.25, and 0.34. …”
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AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development by Petar Radanliev

“…This paper provides actionable recommendations for integrating ethical oversight into the AI lifecycle, advocating for the creation of AI systems that are both technically sophisticated and aligned with societal values. …”
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Automated sample annotation for diabetes mellitus in healthcare integrated biobanking by Johannes Stolp, Christoph Weber, Danny Ammon, André Scherag, Claudia Fischer, Christof Kloos, Gunter Wolf, P. Christian Schulze, Utz Settmacher, Michael Bauer, Andreas Stallmach, Michael Kiehntopf, Boris Betz

“…Performance was compared with a simple laboratory cut-off classifier (LCC) and a logistic regression (LR) model. Algorithms based on laboratory values, ICD-10 codes or information from discharge summaries extracted by a natural language processing software (NLP-DS) were evaluated as a second (review) step designed to increase the precision of annotations. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…In another study, Akbari and Yazdanian (2023) applied machine learning algorithms to determine optimal thresholds for operational loss severity data, classifying the data and estimating the capital required to cover operational risk by integrating severity and frequency distribution functions with Monte Carlo simulation. …”
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Fractional Integration via Picard Method for Solving Fractional Differential-Algebraic Systems by Susan H. Mohammad, Abdulghafor Mohammed Al-Rozbayani

“…By comparing the results with the exact solution, it was found that this method is highly efficient for finding solutions. Also, a genetic algorithm (GA) was used to speed up the approximate solutions when choosing the best values for the fractional derivative, which increased the efficiency of Picard’s fractional integral method in finding the best solutions. …”
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Towards a Digital Twin for Open-Frame Underwater Vehicles Using Evolutionary Algorithms by Félix Orjales, Julián Rodríguez-Cortegoso, Enrique Fernández-Pérez, Alejandro Romero, Vicente Diaz-Casas

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Algorithm of Assessing Dynamic Correlation between Time Series Connected by TVP-Regression Model by N. A. Moiseev, G. V. Aivazian

“…Comparison of the present algorithm with DCC GARCH method was carried out on synthetic data with several values of process error dispersion. …”
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Improving kernel ridge regression for medical data classification based on meta-heuristic algorithms

“…Kernel ridge regression (KRR) is a type of machine learning approach that integrates ridge regression with the kernel trick. However, the performance of KRR is sensitive to the values of the hyperparameters that characterize the kernel type. …”
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Optimization of the PID coefficients for the line-follower mobile robot controller employing genetic algorithm by T. Yu. Kim, R. A. Prakapovich

“…To adjust the values of the coefficients of the PID controller, methods of enumeration, automatic tuning and a genetic algorithm are used.Re s u l t s. …”
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Integration of Structural Characteristics from GEDI Waveforms for Improved Forest Type Classification by Mary M. McClure, Satoshi Tsuyuki, Takuya Hiroshima

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MAS-YOLOv11: An Improved Underwater Object Detection Algorithm Based on YOLOv11 by Yang Luo, Aiping Wu, Qingqing Fu

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Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective. by Md Maeen Molla, Md Sifat Hossain, Md Ayub Ali, Md Raqibul Islam, Mst Papia Sultana, Dulal Chandra Roy

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Designing and validating a clinical decision support algorithm for diabetic nephroprotection in older patients by Simon LeClerc, Nicolas Fernandez, Kelley Kilpatrick, Cheryl Sadowski, Noor Alsalemi, Naoual Elftouh, Jean-Philippe Lafrance, Sherilyn Houle

“…The algorithm was validated by experts in three rounds of Delphi study.Conclusion We designed an evidence-informed CDS algorithm that integrates considerations often overlooked in CPGs. …”
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Stackelberg Game Optimization Strategy of Virtual Power Plants and Electric Vehicles Based on Conditional Value-at-Risk by MA Qianxin, JIA Heping, GUO Yuchen, LI Peijun, YANG Ye, LIU Dunnan, ZHAO Zhenyu

“…[Objective] The large-scale integration of electric vehicles （EVs） presents potential flexibility and operational uncertainty in power systems. …”
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Enhanced Search Spring Algorithm for Green Agri-Food Supply Chain Network Design by Xiaoya Hu

“…The ESSA algorithm integrates a non-linear adaptive weight factor and chaotic map strategies to lay a foundation for balancing the exploration or exploitation of the transmitted solution, allowing it to outpace existing metaheuristic algorithms. …”
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The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms by Xiaoyi Zhu

“…This study introduces a novel hybrid model to tackle the abovementioned issues by integrating various algorithms, including bidirectional long short-term memory and random forest. …”
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An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection by Farouq Zitouni, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed, Saad Harous

“…The resulting mean ranks and p-values unequivocally demonstrate the superior efficacy of the proposed algorithm in addressing the feature selection problem. …”
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Construction and Application of Carbon Emissions Estimation Model for China Based on Gradient Boosting Algorithm by Dongjie Guan, Yitong Shi, Lilei Zhou, Xusen Zhu, Demei Zhao, Guochuan Peng, Xiujuan He

“…Among the algorithms tested, LightGBM achieved the best performance (R² = 0.992, RMSE = 0.297), demonstrating both robustness and efficiency. …”
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Territorial Space Optimization Method Based on Multi-Objective Genetic Algorithm and FLUS Model by Lin Ge

“…There is an urgent need for a more advanced integrated territorial space layout method. For additional spatial layout design, the study suggests a multi-objective genetic algorithm based on spatial data prediction and coupled with land simulation modeling in the context of big data and machine learning development. …”
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Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…Through comparative analysis, data evaluation, and experimental observations, it becomes evident that the integrated algorithm, which combines both approaches, enhances the accuracy of bedload particle and trajectory identification under moderate to low flow conditions. 2)Under conditions of moderate to low flow intensity, the motion intensity of bedload sediment particles is influenced by coherent turbulent structures, resulting in a laterally banded structure. …”
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