Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study by Mahmoud B Almadhoun, MA Burhanuddin

“…PCA kept 12 components while maintaining 95% of the variance in the dataset. …”
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Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

“…To fine-tune model parameters efficiently, the method incorporates the Chaotic Billiards Optimizer (CBO) alongside the Adam optimizer. …”
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Numerical study on heat extraction performance and parameter optimization of a U-shaped geothermal well by Qian Gao, Zhaoxu Han, Yuanhong Han, Desheng Zhou, Ahmad Ghassemi, Huagui Yu

“…The Grey Relational Analysis method was applied to rank the influence of these parameters on outlet temperature and heat extraction efficiency, followed by optimization to identify the optimal operating parameters. …”
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Optimizing Herbicide Use in Fodder Crops with Low-Cost Remote Sensing and Variable Rate Technology by Luís Alcino Conceição, Luís Silva, Susana Dias, Benvindo Maçãs, Adélia M. O. Sousa, Costanza Fiorentino, Paola D’Antonio, Sofia Barbosa, Salvatore Faugno

“…The weed population and crop biomass were assessed to evaluate the efficiency of the proposed method. Results revealed that the VRA method reduced herbicide usage by 30% (0.22 l ha⁻¹) compared to the FRA method, while maintaining comparable crop production. …”
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Optimizing CNN-Based Diagnosis of Knee Osteoarthritis: Enhancing Model Accuracy with CleanLab Relabeling by Thomures Momenpour, Arafat Abu Mallouh

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Optimizing Fingerprint Identification: CNNs With Raw Images Versus Handcrafted Features for Real-Time Systems by Shaik Salma, Tauheed Ahmed, Garimella Ramamurthy

“…A similarity-based matching mechanism with an optimal threshold of 0.8, determined through Receiver Operating Characteristic (ROC) curve analysis, was employed for classification. …”
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Composite Learning-Based Inverse Optimal Fault-Tolerant Control for Hierarchy-Structured Unmanned Helicopters by Qingyi Liu, Ke Zhang, Bin Jiang, Yushun Tan

“…This article investigates the inverse optimal fault-tolerant formation-containment control problem for a group of unmanned helicopters, where the leaders form a desired formation pattern under the guidance of a virtual leader while the followers move toward the convex hull established by leaders. …”
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Incorporating Risk in Operational Water Resources Management: Probabilistic Forecasting, Scenario Generation, and Optimal Control by Ties van derHeijden, Miguel Angel Mendoza‐Lugo, Peter Palensky, Nick van deGiesen, Edo Abraham

“…Recognizing the limitations of deterministic methods in the face of weather, energy system, and market uncertainties, we propose a scalable stochastic Model Predictive Control (MPC) framework that integrates probabilistic forecasting, scenario generation, and stochastic optimal control. …”
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PSYCHOPEDAGOGICAL AND METHODOLOGICAL ANALYSIS OF CONTINUING PROFESSIONAL TRAINING: TOWARDS AN OPTIMIZATION OF DIDACTIC PRACTICES IN EDUCATIONAL SCIENCES by Ala Eddine BAKHOUCH

“…An empirical and qualitative methodology, based on descriptive analysis of case studies and teacher groups, highlights current trends and optimal improvement methods.…”
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OPTIMIZATION OF WATER RESOURCES UTILIZATION DISTRIBUTION FOR AGRICULTURAL BENEFITS IN THE CLAMPIS IRRIGATION AREA SAMPANG DISTRICT by Fairus Zabadi

“…Factors to determine the need for irrigation water include land preparation, consumptive use, percolation and seepage, replacement of water layers, and effective rainfall. While the method used in this study is optimization using a linear program using the Solver facility in Microsoft Excel with the aim of optimizing the availability of irrigation water so as to produce maximum profits and distribution of irrigation utilization that is more effective and efficient. …”
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Enhanced neuromorphogenesis of neural stem cells via the optimization of physical stimulus-responsive signaling pathways by Youyi Tai, Natasha Brinkley, Lu Jin, Yu Wei Chang, Allen Liakhovetski, Jin Nam

“…Abstract Background Neural stem cells hold significant promise for developing in vitro nerve models due to their capacity to differentiate into diverse neural cell types. While traditional biochemical approaches often restrict differentiation to a single phenotype, limiting the ability to study critical neuron-glia interactions, physical stimuli have been explored due to their capacity to drive multi-phenotypic differentiation of neural stem cells. …”
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Weighted explainable federated learning for privacy-preserving and scalable energy optimization in autonomous vehicular networks by Muhammad Saleem, Ali Arishi, Muhammad Sajid Farooq, M.A. Khan, Khan M. Adnan

“…The framework also integrates Explainable AI (XAI) methods to improve interpretability, transparency, and regulatory compliance. …”
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Optimizing antithrombotic therapy following mitral valve repair: a comprehensive network meta-analysis by Mohamed Ibrahim Gbreel, Mohamed Hamouda Elkasaby, Marwa Hassan, Marc Ulrich Becher, Mahmoud Balata

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Determination of similar material proportions based on orthogonal experiments and neural network optimization in the goaf area by Shengdi Wang, Junzhi Chen, Yonggang Zhang, Xiaowei Qiao, Zhiping Zhang, Xin Wang

“…This paper used orthogonal experiments and multi factor optimization methods to study the optimal mixing ratio of similar materials for limestone surrounding rock in a goaf of a certain iron mine in Yunnan, and introduced a new material combination (quartz, cement, gypsum, barite, and glycerol), and utilized orthogonal experiments alongside machine learning techniques for predictive analysis. …”
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Optimal Design of Linear Quadratic Regulator for Vehicle Suspension System Based on Bacterial Memetic Algorithm by Bala Abdullahi Magaji, Aminu Babangida, Abdullahi Bala Kunya, Péter Tamás Szemes

“…An LQR control system adjusts the suspension’s behavior by determining the optimal feedback gains using BMA. The control objective is to significantly reduce the random vibration and oscillation of both the vehicle and the suspension system while driving, thereby making the ride smoother and enhancing road handling. …”
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Unscented transformation method for robustness verification of helicopter flight control system by LIU Changqi, LI Aijun, DUAN Guangzhan, LI Zuo

“…This method employs particle swarm optimization for determining the uncertain parameters. …”
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A multi-objective optimization framework based on information sharing for serially connected robot design by Jiliang Zhao, Wei Peng, Handing Wang, Wen Yao

“…The two-robot controller can zero-shot generalize various sizes of serially connected robots, ensuring good motion coordination while significantly reducing the cost of control optimization. …”
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Optimized and Routed Wiring Harness Based on Zonal Clustering Concept Using AI in the Automotive Industry by Md Sanowar Hossain, Hafiz Abdul Quddus, Ziya Cevahir, Alexander Jesser

“…These findings highlight the potential of AI-optimized zonal E/E architectures to significantly reduce wiring weight, complexity, and design effort while maintaining system performance and cost competitiveness, providing valuable insights for next-generation automotive E/E design.…”
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Installation of an Electric Car Charger Using the Bald Eagle Optimizer Cascaded PI and LQR Controller by Ali Huzbur Hussien, Khalid Mohammed Ameen Alazawi

“…It enhances the significant power factor of the power source while minimizing distortion from harmonics. The Golden Eagle optimization methods are employed to enhance the setting of Proportional-Integral (PI) and Linear Quadratic Regulator (LQR) controller settings for improved conversion efficiency. …”
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Scalable Cold-Start Optimization in Serverless Computing: Leveraging Function Fusion With PanOpticon Simulator by Ranjan Kumar Behera, Anisha Kumari, Sung-Bae Cho

“…Unlike conventional frameworks, the proposed method integrates function fusion directly into the simulation and evaluation pipeline, enabling more scalable and performance-aware optimizations. …”
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