Hybrid Metaheuristic Optimized Random Forest Models for Predicting Compressive Strength of Alkali Activated Concrete by Mana Alyami, Muhammad Faisal Javed, Irfan Ullah, Hisham Alabduljabbar, Furqan Ahmad

“…A random forest (RF) model was optimized using six metaheuristic algorithms: differential evolution (DEA), human felicity algorithm (HFA), nuclear reaction optimization (NRO), lightning search algorithm (LSA), Harris hawks optimization (HHO), and tunicate swarm algorithm (TSA). …”
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Optimizing strength and ductility in FCC high-entropy alloys through synergistic dual-phase precipitation by Peng Cheng, Boqiong Li, Yuanyang Sun, Liuqing Yang, Ruizhen Xie, Yuhong Zhao

“…In particular, precipitation strengthening accounted for more than 80 % of the total strength increase, whereas an excessive amount of η phase led to a reduction in ductility. …”
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Global trends of libraries development: optimism vs pessimism (foreign literature review) Part 1 by N. S. Redkina

“…The dynamic development of the external technological environment, on the one hand, impacts on libraries questioning their future existence, on the other, helps libraries to work more productively, increases competitiveness and efficiency, expands the range of social projects, develops new ways and forms of work with users taking into account their preferences in information and services. …”
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Temporal Correlation Optimization for Accelerated 3D Sparse Convolution in Point Cloud Inference on CPU by Chen Zhu, Li Chen, Qunsong Ye, Wei Li, Zushuai Xie

“…In particular, our SIMD-based data movement can achieve more than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5</mn><mo>×</mo></mrow></semantics></math></inline-formula> speedup.…”
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MaOAOA: A Novel Many‐Objective Arithmetic Optimization Algorithm for Solving Engineering Problems by Pradeep Jangir, Arpita, Sundaram B. Pandya, Gulothungan G., Mohammad Khishe, Bhargavi Indrajit Trivedi

“…ABSTRACT Currently, the use of multi‐objective optimization algorithms has been applied in many fields to find the efficient solution of the multiple objective optimization problems (MOPs). …”
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Integrated water-energy modeling in TEMOA energy system optimization model: Pantelleria case study by Farzaneh Amir Kavei, Maria Elena Alfano, Matteo Nicoli, Francesco Quatraro, Laura Savoldi

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Mathematical modeling and optimization of the active suspension system of a 6x6 electric vehicle by Berk Aydoğan, Ahmet Yildiz

“…Three different methods were used for optimization: Genetic Algorithm (GA), Particle Swarm Optimization (PSE) and Differential Evolution (DE) Optimization. …”
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Optimization of Multi-Source Remote Sensing Soil Salinity Estimation Based on Different Salinization Degrees by Huifang Chen, Jingwei Wu, Chi Xu

“…Classifying salinization degrees helps identify spectral variable combinations that are more sensitive to the construction of soil salinity content (SSC) models, positively impacting soil salinity estimation. …”
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Optimizing Guideline-directed Medical Therapies for Heart Failure with Reduced Ejection Fraction During Hospitalization by Neal M Dixit, Shivani Shah, Boback Ziaeian, Gregg C Fonarow, Jeffrey J Hsu

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Optimization of row and hill spacing patterns improved rice population structure and increased rice yield by Liqiang Dong, Tiexin Yang, Liang Ma, Yuedong Li

“…Field mechanized transplantation experiments were conducted to investigate the effects of plant pattern on the physiological and morphological characteristics of rice plant individuals and populations, and clarify the relationships of physiological and biochemical changes with row and hill spacing.ResultsThe result shows that WNDM presented the greatest yield advantage in the two years trial, with yield significantly greater than that of the local farmer mode and other densification modes, with an increase of more than 8% compared with LFM. The reciprocal second leaf yielded the highest values, at 27.33 μmol·m-2·s-1 and 27.13 μmol·m-2·s-1under the WNDM over two years, which were significantly higher than those of the other modes. …”
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Coupling Beams’ Shear Capacity Prediction by Hybrid Support Vector Regression and Particle Swarm Optimization by Emad A. Abood, Mustafa Kamal Al-Kamal, Sabih Hashim Muhodir, Nadia Moneem Al-Abdaly, Luís Filipe Almeida Bernardo, Dario De Domenico, Hamza Imran

“…Analytical results indicate that the new optimized prediction model can assist civil engineers in designing RC coupling beam structures more effectively and outperforms existing models in predicting the shear strength of such beams.…”
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AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis by Yahia Said, Riadh Ayachi, Mouna Afif, Taoufik Saidani, Saleh T. Alanezi, Oumaima Saidani, Ali Delham Algarni

“…This study presents an advanced AI-driven framework, optimized through genetic algorithms, for precise lung segmentation in early cancer diagnosis. …”
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Thermoelectric power factor optimization in hydrothermally synthesized SnO2 nanoparticles by Cu doping by Najaf Abbas Khan, Anas Al Tarabsheh, S. Ikram, A. Ali, K. Mahmood

“…The power factor, initially increases with Cu doping, however, beyond an optimal value, the power factor starts to decrease, indicating a saturation or detrimental effect caused by excessive Cu doping.…”
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A Risk-Optimized Framework for Data-Driven IPO Underperformance Prediction in Complex Financial Systems by Mazin Alahmadi

“…The framework leverages data-driven methodologies to optimize decision-making in complex financial systems, integrating ANOVA F-value for feature selection, Randomized Search for hyperparameter optimization, and SMOTE for class balance. …”
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Development of an Optimized Non-Linear Model for Precise Dew Point Estimation in Variable Environmental Conditions by José Antonio Hernandez-Torres, Juan P. Torreglosa, Reyes Sanchez-Herrera, Aldo Bischi, Andrea Baccioli

“…This study highlights the importance of accurate dew point modeling, especially under variable environmental conditions, provides a reliable solution to existing limitations, paving the way for enhanced efficiency in related processes and research endeavors, and offers researchers and practitioners a practical tool for more effective modeling of water condensation phenomena.…”
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Optimization of Extraction Parameters for Phenolics Recovery from Avocado Peels Using Ultrasound and Microwave Technologies by Lorena Martínez-Zamora, María Carmen Bueso, Mathieu Kessler, Rosa Zapata, Perla A. Gómez, Francisco Artés-Hernández

“…Results: EtOH concentration was the most influential variable, with optimal conditions involving 94.55% EtOH and moderate temperatures over short times (45 °C for 5 min in UAE and 67 °C for 12 min in MAE). …”
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Epigenetic modulation by life–style: advances in diet, exercise, and mindfulness for disease prevention and health optimization by José Ostaiza-Cardenas, Andrea C. Tobar, Stefany Carolina Costa, Diana Sofia Calero, Alisson López-Carrera, Fátima German Bermúdez, Fátima German Bermúdez, Andrea Orellana-Manzano, Andrea Orellana-Manzano

“…Combining mindfulness, balanced diets, and regular physical activity offers substantial benefits for metabolic, cardiovascular, and mental health. However, more research is needed to understand the long-term effects of lifestyle factors on epigenetics and to develop personalized strategies that optimize disease prevention and overall wellbeing.…”
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Optimization of economics of biomass fuel mix for boilers in tea processing through response surface methodology by Veronica K. Ngunzi, Christopher L. Kanali, Gareth M. Kituu, Erick K. Ronoh

“…RSM was then applied to optimize the fuel mix by minimizing costs while maximizing energy efficiency. …”
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Optimized Non-Integer with Disturbance Observer Frequency Control for Resilient Modern Airport Microgrid Systems by Amr A. Raslan, Mokhtar Aly, Emad A. Mohamed, Waleed Alhosaini, Emad M. Ahmed, Loai S. Nasrat, Sayed M. Said

“…Furthermore, the parameters of these controllers are optimized simultaneously to ensure optimal performance in both transient and steady-state conditions. …”
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Optimization of Exposed Aggregate Concrete Mix Proportions for High Skid Resistance and Noise Reduction Performance by Xudong Zha, Chengzhi Wu, Runzhou Luo, Yaqiang Liu

“…The noise reduction frequency range is mainly concentrated in the mid-high frequency range of 1.5~4.0 kHz, which is more sensitive to the human ear. High correlations were observed between the surface texture characteristics and SRNR performance. …”
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